Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms- A Meta-Analysis and Review

✅ 全文

微生物介导的植物耐热性及相关机制——一项荟萃分析与综述

作者 Khondoker M. G. Dastogeer; Mst. Ishrat Zahan; Mohammad Saidur Rhaman; Mohammad Saiful Alam Sarker; Anindita Chakraborty 期刊 Frontiers in Microbiology 发表日期 2022 ISSN 1664-302X DOI 10.3389/fmicb.2022.833566 类型 原创研究 (Original Research)

📄 中文摘要 Chinese Abstract

中文
由于气候变化,环境温度的持续上升是全球重大问题之一,并对作物生长和产量产生严重不利影响,进而影响粮食安全。热胁迫对植物的生长、发育和生理过程造成多方面的不利影响,植物则通过物理、生理、生化和分子策略,发挥不同水平的适应、规避、驯化和耐受机制。 微生物共生体无处不在,能够影响宿主植物对环境刺激(包括热胁迫)的响应。然而,与干旱、盐分或养分限制等其他非生物因素相比,共生体参与宿主植物对热胁迫响应的研究受到的关注较少。因此,作者进行了荟萃分析,以衡量共生作用对与胁迫耐受机制相关的重要植物性状的总体效应强度和方向。

📋 英文结构化总结 English Structured Summary

全文整理

EN

Background:

Due to climate change, the constant rise of ambient temperature is one of the major global issues and has devastating impacts on crop growth and productivity, consequently, in food security. Heat stress causes a manifold adverse impact on the growth, development, and physiological processes of plants, and plants employ varying levels of adaptation, avoidance, acclimation, and tolerance mechanisms through physical, physiological, biochemical, and molecular strategies.

Microbial symbionts are ubiquitous and can influence host plant responses to environmental stimuli, including heat stress. However, compared with other abiotic factors such as drought, salinity, or nutrient limitation, the involvement of symbionts in plant host responses to heat stress has received less attention. The authors therefore performed a meta-analysis to measure the overall strength and direction of the effect of symbiosis on important plant characteristics associated with stress tolerance mechanisms.

Methods:

The meta-data were collected by following the general guidelines of Field and Gillett. A literature search was performed in Web of Science and PubMed through September 2020 using terms such as endophyte, AMF, mycorrhiza, bacteria, fungi, heat stress, hot stress, and high temperature. The search produced 4,562 unduplicated papers, 90 peer-reviewed articles were considered likely to contain relevant information, and 39 peer-reviewed original research articles were retained for the final analysis.

Data were extracted on host identity, symbiont identity, plant biomass, length, relative water content, photosynthetic parameters, enzyme parameters, and other relevant data. Meta-analyses were conducted using the “metacont” function of the package “meta” in R version 4.0.4, with the restricted maximum likelihood estimator (REML) used for random-effects estimation. Standardized mean difference (SMD) was calculated, heterogeneity was assessed using Higgins’ I² and Cochran’s Q statistics, and publication bias was tested using funnel plots and Egger regression. Subgroup analyses were performed for root length parameters to determine the influence of factors such as plant or endophyte identity and type.

Results:

As compared to non-inoculated plants, inoculated plants had significantly higher biomass and photosynthesis under heat stress conditions. A significantly decreased accumulation of malondialdehyde (MDA) and hydrogen peroxide (H₂O₂) indicated a lower oxidation level in the colonized plants, which was also correlated with the higher activity of catalase, peroxidase, and glutathione reductase enzymes due to microbial colonization under heat stress. However, the activity of superoxide dismutase, ascorbate oxidase, ascorbate peroxidase, and proline were variable.

The meta-analysis revealed that microbial colonization influenced plant growth and physiology, but their effects were more noticeable when host plants were exposed to high-temperature stress than when they grew under ambient temperature conditions. Both fungal and bacterial symbionts were found to increase plant fitness under thermal stress by augmenting photosynthesis, improving antioxidant responses, triggering earlier hormonal signaling, and enhancing osmolyte and nutritional balance.

Data Summary:

The literature search produced 4,562 unduplicated papers, 90 articles were considered likely to contain relevant information, and 39 peer-reviewed original research articles were retained. The included papers spanned 23 years (1998–2021), and the meta-analysis measured effects on 24 plant response parameters. Fungi were encountered more often, accounting for 69% of the 42 articles used in the meta-analysis.

Under heat stress, microbial colonization significantly augmented root dry biomass (SMD: 0.4728, p: 0.037), while its effect on root length was variable and less prominent (SMD: 0.6739, p: 0.098). Symbiotic plants had 25% (1.37, p = 0.0002) higher total chlorophyll and 51% (2.80, p = 0.004) higher net photosynthesis under stress, compared with 11% (0.94, p = 0.004) and 16% (1.79, p = 0.035) higher under ambient conditions. Catalase (p = 0.021) and peroxidase (p = 0.006) were significantly higher in colonized plants under heat stress, and hydrogen peroxide and malondialdehyde were significantly decreased (p < 0.001).

Conclusions:

Microbial colonization influenced plant growth and physiology, with effects more noticeable under high-temperature stress than under ambient temperature conditions. Microbial symbionts consistently helped plants reduce the impact of thermal stress by manipulating physiological processes, including photosynthesis, osmotic balance, enzymatic activities, and metabolic activities.

The review also highlighted a significant lack of knowledge on microbial-conferred plant performance and productivity under high-temperature conditions, especially in natural environments. Future research should focus on experiments with wild and crop plants exposed to heat stress in natural environments, field-supported screening of microbial symbionts, and studies of multi-partite microbial interactions.

Practical Significance:

Microbe-induced plant heat stress tolerance has broad ecological and agricultural implications. In some regions, increased stress tolerance can result in higher crop yield under higher temperature environments. Identifying novel microbial symbionts, developing rapid but robust screening methods, and supporting results with field experiments can help translate research into sustainable agricultural production and the use of beneficial microbes as biofertilizers.

📋 中文结构化总结 Chinese Structured Summary

中文

背景:

由于气候变化,环境温度的持续上升是全球重大问题之一,并对作物生长和产量产生严重不利影响,进而影响粮食安全。热胁迫对植物的生长、发育和生理过程造成多方面的不利影响,植物则通过物理、生理、生化和分子策略,发挥不同水平的适应、规避、驯化和耐受机制。

微生物共生体无处不在,能够影响宿主植物对环境刺激(包括热胁迫)的响应。然而,与干旱、盐分或养分限制等其他非生物因素相比,共生体参与宿主植物对热胁迫响应的研究受到的关注较少。因此,作者进行了荟萃分析,以衡量共生作用对与胁迫耐受机制相关的重要植物性状的总体效应强度和方向。

方法:

元数据按照 Field 和 Gillett 的一般指南进行收集。通过 Web of Science 和 PubMed 检索至 2020 年 9 月的文献,检索词包括内生菌、AMF、菌根、细菌、真菌、热胁迫、高温胁迫和高温等。检索得到 4,562 篇去重后的论文,其中 90 篇同行评审文章被认为可能包含相关信息,最终保留 39 篇同行评审原创研究文章用于最终分析。

提取的数据包括宿主身份、共生体身份、植物生物量、长度、相对含水量、光合参数、酶参数及其他相关数据。荟萃分析使用 R 4.0.4 版本中 “meta” 包的 “metacont” 函数进行,随机效应估计采用受限极大似然估计(REML)。计算标准化均数差(SMD),采用 Higgins 的 I² 和 Cochran 的 Q 统计量评估异质性,并采用漏斗图和 Egger 回归检验发表偏倚。对根长参数进行亚组分析,以确定植物或内生菌身份和类型等因素的影响。

结果:

与未接种植物相比,接种植物在热胁迫条件下具有显著更高的生物量和光合速率。丙二醛(MDA)和过氧化氢(H₂O₂)的积累显著降低,表明定殖植物的氧化水平较低;这与热胁迫下微生物定殖导致过氧化氢酶、过氧化物酶和谷胱甘肽还原酶活性升高相关。然而,超氧化物歧化酶、抗坏血酸氧化酶和抗坏血酸过氧化物酶的活性以及脯氨酸含量变化不一。

荟萃分析表明,微生物定殖影响植物生长和生理,但当宿主植物暴露于高温胁迫时,其效应比在环境温度条件下生长时更为明显。真菌和细菌共生体均被发现可通过增强光合作用、改善抗氧化反应、触发更早的激素信号以及提高渗透调节物质和营养平衡,从而提高植物在热胁迫下的适合度。

数据摘要:

文献检索得到 4,562 篇去重后的论文,其中 90 篇文章被认为可能包含相关信息,最终保留 39 篇同行评审原创研究文章。纳入的论文时间跨度为 23 年(1998–2021),荟萃分析测量了 24 个植物响应参数的效应。真菌出现频率更高,占荟萃分析所用 42 篇文章的 69%。

在热胁迫下,微生物定殖显著提高了根干生物量(SMD:0.4728,p:0.037),而其对根长的效应变化不一且不太显著(SMD:0.6739,p:0.098)。共生植物在胁迫下总叶绿素高 25%(1.37,p = 0.0002),净光合速率高 51%(2.80,p = 0.004);而在环境条件下,二者分别高 11%(0.94,p = 0.004)和 16%(1.79,p = 0.035)。热胁迫下,定殖植物中过氧化氢酶(p = 0.021)和过氧化物酶(p = 0.006)显著升高,过氧化氢和丙二醛显著降低(p < 0.001)。

结论:

微生物定殖影响植物生长和生理,且其效应在高温胁迫下比在环境温度条件下更为明显。微生物共生体通过调控光合作用、渗透平衡、酶活性和代谢活性等生理过程,持续帮助植物减轻热胁迫的影响。

该综述还指出,目前对高温条件下微生物赋予植物表现和生产力的研究仍存在显著知识空白,尤其是在自然环境中。未来研究应聚焦于在自然环境中暴露于热胁迫的野生植物和作物实验、有田间试验支持的微生物共生体筛选,以及多组分微生物相互作用研究。

实践意义:

微生物诱导的植物热胁迫耐受性具有广泛的生态和农业意义。在某些地区,提高胁迫耐受性可在更高温度环境下带来更高的作物产量。鉴定新型微生物共生体、开发快速而稳健的筛选方法,并以田间试验支持研究结果,有助于将研究成果转化为可持续农业生产,并促进有益微生物作为生物肥料的应用。

📖 英文全文 English Full Text

EN

REVIEW published: 07 March 2022 doi: 10.3389/fmicb.2022.833566

Edited by:

Marco Scortichini, Council for Agricultural and Economics Research (CREA),

Italy Reviewed by:

Laura Bertini, University of Tuscia, Italy Vikas Srivastava,

Central University of Jammu, India *Correspondence:

Khondoker M. G. Dastogeer dastogeer.ppath@bau.edu.bd

Specialty section:

This article was submitted to Microbe and Virus Interactions with

Plants, a section of the journal Frontiers in Microbiology

Received: 11 December 2021 Accepted: 04 February 2022

Published: 07 March 2022 Citation:

Dastogeer KMG, Zahan MI, Rhaman MS, Sarker MSA and

Chakraborty A (2022) Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms- A Meta-Analysis and Review.

Front. Microbiol. 13:833566. doi: 10.3389/fmicb.2022.833566

Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms- A Meta-Analysis and Review

Khondoker M. G. Dastogeer1*, Mst. I. Zahan2, Mohammad S. Rhaman3,

Mohammad S. A. Sarker4 and Anindita Chakraborty5 1 Department of Plant Pathology, Bangladesh Agricultural University, Mymensingh, Bangladesh, 2 Scientific Officer (Breeding

Division), Bangladesh Sugarcrop Research Institute, Pabna, Bangladesh, 3 Department of Seed Science and Technology,

Bangladesh Agricultural University, Mymensingh, Bangladesh, 4 Basic and Applied Research on Jute Project, Bangladesh

Jute Research Institute (BJRI), Dhaka, Bangladesh, 5 Department of Genetic Engineering and Biotechnology, Shahjalal

University of Science and Technology, Sylhet, Bangladesh

Microbial symbionts can mediate plant stress responses by enhancing thermal tolerance, but less attention has been paid to measuring these effects across plant- microbe studies. We performed a meta-analysis of published studies as well as discussed with relevant literature to determine how the symbionts influence plant responses under non-stressed versus thermal-stressed conditions. As compared to non-inoculated plants, inoculated plants had significantly higher biomass and photosynthesis under heat stress conditions. A significantly decreased accumulation of malondialdehyde (MDA) and hydrogen peroxide (H2O2) indicated a lower oxidation level in the colonized plants, which was also correlated with the higher activity of catalase, peroxidase, glutathione reductase enzymes due to microbial colonization under heat stress. However, the activity of superoxide dismutase, ascorbate oxidase, ascorbate peroxidase, and proline were variable. Our meta-analysis revealed that microbial colonization influenced plant growth and physiology, but their effects were more noticeable when their host plants were exposed to high-temperature stress than when they grew under ambient temperature conditions. We discussed the mechanisms of microbial conferred plant thermotolerance, including at the molecular level based on the available literature. Further, we highlighted and proposed future directions toward exploring the effects of symbionts on the heat tolerances of plants for their implications in sustainable agricultural production.

Keywords: antioxidant, heat stress, meta-analysis, plant-microbe interaction, plant physiology, symbiosis

INTRODUCTION Due to climate change, the constant rise of ambient temperature is one of the major global issues and has devastating impacts on crop growth and productivity, consequently, in food security.

Results from various climate model simulations predict that the global average temperature could be between 1.1 to 5.4◦C warmer in 2100 than it is today (IPCC, 2019). Heat stress causes a manifold adverse impact on the growth, development, physiological processes of plants (Wahid et al., 2007; Hasanuzzaman et al., 2013; Hassan et al., 2021; Jagadish et al., 2021). The

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Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms plant employs varying levels of adaptation, avoidance, acclimation, and tolerance mechanisms to cope with heat stress via physical, physiological, biochemical, and molecular strategies, including the use of ion transporters, proteins, osmolytes, antioxidants, and other factors involved in signaling and transcriptional regulation (Hasanuzzaman et al., 2013;

Hassan et al., 2021; Jagadish et al., 2021; Zhao et al., 2021). Plant responses to abiotic stress have been studied widely for the last few years, and the role of microbes on plant stress responses has also been given attention in recent years. In particular, plant species commonly associated with microbial symbionts, known as plant microbiome, may influence responses of the host plant to environmental stimuli, including heat stress.

Microorganisms are ubiquitous, and all plants are colonized by various types of microbes which play important roles in plant ecology and physiology (Rodriguez et al., 2009; Turner et al., 2013; Compant et al., 2019; Dastogeer et al., 2020a). For example, AMF (arbuscular mycorrhizal fungi) present in the roots of 80% of terrestrial plants (Brachmann and Parniske, 2006) and microbial endophytes (both fungal and bacterial) are highly diverse and live asymptomatically in every plant studied so far. It is increasingly recognized that these microbes, as well as others including, e.g., epiphytes, viruses, ectomycorrhiza, N-fixers, etc., exert multiple effects on the plants particularly under adverse environmental conditions (Porras-Alfaro and Bayman, 2011; Hill et al., 2019; Dastogeer et al., 2020b; Kumar et al., 2020). These beneficial effects, which are strongly dependent on environmental conditions (Rodriguez et al., 2009; Hoeksema et al., 2010;

Dastogeer, 2018), include priming against pests or herbivores, the acquisition of growth-limiting nutrients from the soil, tolerance to drought, salinity and thermal stress, etc. (Rodriguez et al., 2009; Goh et al., 2013; Hardoim et al., 2015; Azad and

Kaminskyj, 2016; González-Teuber, 2016; Molina-Montenegro et al., 2016; Dastogeer and Wylie, 2017; Rho et al., 2018; Hill et al., 2019). Microbes produce a wide range of compounds to impact the responses of plants at the molecular level, triggering the biosynthesis of pigments, secondary metabolites, hormones, antioxidants, and alkaloids (Meena et al., 2017; Dastogeer et al.,

2018; Basit et al., 2021; Naamala and Smith, 2021). Just as for other stresses, it is becoming increasingly evident that the heat stress responses of plants may be influenced by their interactions with microbes (Eerens et al., 1998; Ali et al., 2011; Khan A. L. et al., 2015; Ismail et al., 2020a; Li X. et al., 2021).

Despite the ubiquity and high diversity of microbial symbionts in plant tissues and the widespread effects and economic relevance of heat as a stress factor for plants, when compared with other abiotic factors such as drought, salinity, or nutrient limitation, the involvement of symbionts in plant host responses to heat stress have been received less attention (Meena et al.,

2017; Kumar and Verma, 2018). The handful of studies available indicate that the magnitudes of the effect of microbes on plant heat stress tolerance and associated mechanisms such as accumulation of osmolytes, antioxidants, phytohormones, etc., vary among various studies (Meena et al., 2017; Kumar and

Verma, 2018). We assume these differences could be associated with multiple factors such as level of stress, types of host and symbiont partners, environmental conditions, and their complex interactions. In order to gain insight into and harness the benefit of symbiont in agricultural management practice, it is imperative to elucidate the detailed mechanism of microbe-plant interaction under heat stress conditions (Harman and Uphoff, 2019). It is indeed tenuous and often erroneous to deduce the findings in general context from the individual investigation (Dastogeer,

2018). Therefore, to ascertain the central tendency and pinpoint the patterns of microbial influence on plants under stress and compare with them under control, it is paramount to integrate results across studies in order to determine if the factors can be known (Borenstein et al., 2009; Dastogeer, 2018). Here, we performed a meta-analysis to measure the overall strength and direction of effect (beneficial, harmful or neutral) of symbiosis on important plant characteristics associated with stress tolerance mechanisms. To the best of our knowledge, this aspect has not previously been discussed in a review of the published article, and thus present article fills a substantial gap in our understanding of interactions between plants and their symbiotic microbial partners.

A meta-analysis is a mathematical and statistical approach that pools the results of various investigations to estimate a mean effect size for treatment across a range of studies (Rosenberg et al., 2000). We can evaluate the findings of a study with respect to all other comparable studies to assess if the effect of a treatment is consistent across studies or if it differs substantially among studies and which factor might be accounted for the differences (Borenstein et al., 2009). The categorical variables or

“moderators” are often included in meta-analyses to pinpoint which and how various features modulate the treatment effect of interest. This form of analysis has been, for example, used to determine the impact of microbial symbionts on plant response to salinity stress (Chandrasekaran et al., 2014, 2016; Rho et al.,

2018), drought stress (Dastogeer, 2018; Rho et al., 2018), and cold stress (Acuna-Rodriguez et al., 2020). In the current study, we accumulated data from all studies to date and measured the effects of endophytes on 24 plant response parameters that encompass plant growth, photosynthesis, metabolites, and enzymatic activities that are subjected to change under thermal stress conditions. Our purpose was to answer the questions, broadly; what is the overall impact of microbial colonization on various plant growth and photosynthetic parameters of plants exposed to heat stress? Does the plant-symbiont relationship differ under heat-stressed conditions compared to unstressed conditions? What is the role of symbiosis in osmotic balance and antioxidant enzymes regulation in plants exposed to thermal stress? We supplemented our meta-analysis with a review of relevant literature for a deeper insight into this subject.

LITERATURE SEARCH AND STUDY SELECTION FOR META-ANALYSIS

The meta-data were collected by following the general guidelines of Field and Gillett (2010). We performed a literature search in Web of Science (Clarivate Analysis) and PubMed database through September 2020. Our search terms were: endophyte or AMF or mycorrhiza or bacteria or fungi AND either “heat

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Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms stress∗” or “hot stress∗” or “high temperature.” The Boolean truncation (“∗”) was used so as to include the variations of the word such as fungi, fungus, and fungal. The search produced

4,562 unduplicated papers, and 90 peer-reviewed articles were considered likely to contain relevant information by reading the title and abstract. To finally select the papers for data extraction, we had preset criteria such as so that these studies can be included in our meta-analysis and extreme heterogeneity minimized (Cooper, 2015; Ahn and Kang, 2018; Cooper et al.,

2019; Seidler et al., 2019): (i) The article must describe the findings of original research, and as such, review papers, opinion articles, editorials, book chapters, and systematic reviews were discarded for inclusion into our meta-analysis. (ii) The investigation had to use at least one microbial strain regardless of inoculation protocol or rate, (iii) The inoculum was used singly, and we did not consider any mixed-inoculation for this meta-analysis, (iv) Both microbe-inoculated and non-inoculated plants were grown under normal stressed and non-stressed conditions, and data provided, (v) Any of the growth and other parameters, e.g., biomass, enzymes, hormones, etc., were measured (vi) The papers must have provided sample size (i.e., replication), means, standard deviations/errors, and other relevant statistical data that could be converted to measure an effect size.

Based on the above criteria, most articles were excluded for meta-analysis, and only

39 peer-reviewed original research articles were retained for the final analysis (Supplementary Table 1). We accepted studies to differ in the levels of fertilizer applied, growth conditions (greenhouse, growth chamber, or field), duration of stress application, the magnitude of stress, and growth media into our meta-analysis.

Papers spanned 23 years (1998–2021) and were in English. We apologize for not including the potential paper that contains data written in other languages or those that we might have unintentionally missed during our search or due to stipulated selection criteria.

DATA EXTRACTION AND META-ANALYSIS When a publication provided results of more than one study system/group, those systems were taken as independent data points (Hedges et al., 1999). From these articles, we extracted information on host identity (plant species, genus, family), symbionts’ identity (genus, species), plant biomass (shoot and root), length (shoot and root), relative water content, photosynthetic parameters, enzymes parameters, and other relevant data from the studies (Supplementary Table 2). The means, sample sizes (replications), standard deviation were recorded from each study. Standard deviation was calculated from standard errors (SE) using the equation: SE = SD (n−1/2).

Frequently the results were presented in a graph, and we used

WebPlotDigitizer (Rohatgi, 2021) to digitize the values. If any paper reported multiple treatments or host/AMF combinations, these were included as an independent data unit in the analysis.

However, it might increase the dependence of a particular study when considered them as an independent report (Gurevitch and

Hedges, 1999). Nonetheless, this practice is assumed to increase the statistical power of meta-analysis (Lajeunesse and Forbes,

2003) and several biological meta-analyses papers also used the same (Holmgren et al., 2012; Veresoglou et al., 2012; Mayerhofer et al., 2013; McGrath and Lobell, 2013; Dastogeer, 2018).

Meta-analyses were conducted using the “metacont” function of the package “meta” (Balduzzi et al., 2019) implemented in R version 4.0.4 (R Core Team, 2021). Although the DerSimonian and Laird (DL) method is commonly used by default to estimate the between-study variance, it was suggested that for continuous data, the restricted maximum likelihood estimator (REML) are better alternatives to estimate the between-study variance (DerSimonian and Laird, 1986; Veroniki et al., 2016;

Cooper et al., 2019). We used the Restricted maximum-likelihood estimator (REML) to make statistical inferences considering the effects as random. Standardized mean difference (SMD), which is defined as the ratio of the difference in mean performance between treatments to the pooled standard deviation, was calculated. This effect size measurement is done in meta-analyses that involve studies reporting continuous outcomes, similar to our study (Faraone, 2008). Generally, the SMD values of 0.3,

0.5, and 0.8 are considered as a small, medium, and large effect sizes, respectively (Cohen, 1988). Quantification of heterogeneity as well as testing the significance were estimated with Higgin’s

I2 and Cochran’s Q statistics. “I2” is defined as the ratio of true heterogeneity to total heterogeneity across the effect sizes, whereas “Q” is the weighted deviations of the summary effect size that is due to true heterogeneity rather than sampling error (Higgins and Thompson, 2002; Higgins et al., 2003; Huedo- Medina et al., 2006). The I2 values < 25%, 25–75%, and > 75% are regarded as representing low, moderate, and high heterogeneity (Higgins et al., 2003) by convention. The coefficient of interval estimate of effect sizes was set to 95%, and the effect size (SMD) was considered significant when 95% CIs (confidence interval) did not cross zero. SMD of zero suggests that the two treatments (microbial inoculated or non-inoculated) have equivalent effects; SMDs greater than zero indicate the degree to which the microbial inoculated outperforms the non-inoculated samples and vice-versa.

Publication bias for each dataset of different parameters was tested by inspecting funnel plots and Egger regression test for funnel plot asymmetry (Begg and Mazumdar, 1994; Egger et al.,

1997; Simonsohn et al., 2014). We found that for most of the parameters, there were no substantial publication biases in these datasets (Supplementary Table 2). For some parameters which showed some biases, then we took the effect sizes (SMD), CIs, and heterogeneity statistics after applying the trim-and-fill method to correct the biases (Duval and Tweedie, 2000). However, for the majority of the cases, the trim and fill did not substantially alter (decreased) the SMD values than the untrimmed SMD values (Supplementary Table 2). Therefore, we used the untrimmed

SMD values (i.e., did not adjust for publication bias) for the sake of consistency for all the parameters for creating forest plots.

After carefully observing the heterogeneity statistics as well as

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Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms

0 8 16 24 32 Fitness/Growth Genetic/Molecular Hormonal

Physiological Fungi Bacteria 0 4 8 12 16 20 Antioxidant

Nutritional Osmotic Photosynthetic Fungi Bacteria Number of papers

Number of papers A B FIGURE 1 | Number of papers out of the total 42 papers reviewed here grouped by response variables. Broad categories of variable are shown in panel (A), while physiological responses are shown in panel (B). significance level for SMDs, we performed subgroup analyses for root length parameters to determine the influence of the factors such as plant or endophyte identity, type, etc., because sufficient data were available. For a factor to be included in the analysis as a subgroup variable, it had to be reported from at least four studies.

META-ANALYTIC REVIEW AND DISCUSSION ON PLANT TOLERANCE

TO THERMAL STRESS AS MEDIATED BY MICROBIAL COLONIZATION

The articles we reviewed presented findings of experiments involving various host-microbe systems. These investigations considered various parameters in evaluating the influences of microbial colonization in providing heat stress tolerances of plants such as plant biomass and response at the physiological, molecular, metabolic as well as the hormonal level (Figure 1).

Effect of fungi was encountered more often, which accounted for 69% of the 42 articles used in our meta-analysis. In general, both fungal and bacterial symbionts were found to increase plant fitness under thermal stress by augmenting photosynthesis, improving antioxidant responses of plants, triggering earlier hormonal signaling, enhancing osmolyte and nutritional balance (Table 1). In the next section, we outlined the influence of microbial symbionts on plant thermal stress tolerance as obtained from our meta-analysis and discussed in light of available literature.

Microbial Symbionts on Plant Growth and Relative Water Content Under

Thermal Stress The microbial symbiosis significantly stimulated plant shoot dry biomass as well as increased shoot length both under normal and

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TABLE 1 | The 39 investigations that were included in the review here reporting the effects of microbial symbionts on plant responses to thermal stresses.

References Host species Symbiont Key findings Abd El-Daim et al. (2014)

Wheat (T. aestivum) Bacillus amyloliquefaciens; Azospirillum brasilense (Bacteria)

Bacterial treatment with Bacillus amyloliquefaciens UCMB5113 or Azospirillum brasilense NO40 improved heat stress tolerance of wheat seedlings which were associated with reduced generation of reactive oxygen species and transcript levels of several stress related genes.

Abd El-Daim et al. (2018) Wheat (Triticum aestivum)

B. amyloliquefaciens (Bacteria) Wheat seeds treated with B. amyloliquefaciens enhanced heat tolerance by molecular modifications in wheat leaf transcript patterns.

Abd El-Daim et al. (2019) Wheat (T. aestivum) B. velezensis (Bacteria)

B. velezensis 5113 inoculations resulted in a significant metabolic modulation and regulation of metabolic pathways of amino acids and enhanced expression of several proteins related to heat tolerance.

Ali et al. (2009) Sorghum (Sorghum bicolor) Pseudomonas sp. (Bacteria)

Pseudomonas sp. strain AKM-P6 enhanced tolerance of sorghum seedlings to elevated temperatures by enhancing bio-physiological changes such as higher biomass, proline, sugar, amino acids content in the plant.

Ali et al. (2011) Wheat (Triticum spp.) P. putida (Bacteria)

Inoculation with P. putida strain AKMP7 significantly increased the root and shoot length, dry biomass, tiller, spikelet and grain formation of wheat and enhanced biochemical parameters such as chlorophyll, total sugars, proline, starch, amino acids and protein content of wheat under heat stress.

Ali et al. (2018) Cucumber (Cucumis sativus) Theromophilic endophytic fungus

A thermophilic endophytic (CpE) fungus (92% sequence homology with

Thermomyces sp.) mediated heat stress tolerance in cucumber plants by maintaining maximum quantum efficiency of photosystem II, photosynthesis rate, water use efficiency and increased root length.

Ali et al. (2019) Cullen plicata Thermomyces lanuginosus (Endophytic fungus)

T. lanuginosus had a beneficial effect on its host for resisting heat under heat stress condition. AM fungus enhanced the C. plicata plant heat stress tolerance by changing secondary metabolite accumulations and antioxidant activities and improving the growth and development of its host.

Bruno et al. (2020) Sorghum (S. bicolor) B. cereus, Providencia rettgeri,

Myroides odoratimimus (Bacteria) Inoculation of sorghum with chromium reducing-thermotolerant plant growth promoting bacteria (CRT-PGPB) increased plant growth, antioxidant enzyme activities and decreased proline and malondialdehyde contents in plants under heat stress and enhanced heat tolerance

Bunn et al. (2009) Agrostis scabra, Dichanthelium lanuginosum, Mimulus guttatus

Arbuscular mycorrhizal fungi Biomass of the facultative thermal plants Agrostis scabra and Mimulus guttatus decreased under high temperature and AMF inoculation did not have any effect on the plant traits. On the other hand, mycorrhizal inoculation increased the biomass and total root length of the obligate thermal plant Dichanthelium lanuginosum under high temperatures. Again, the source of the AMF inoculum (nonthermal-AMF and thermal-AMF), had no effect on colonization level, host plant biomass, or flowering for any host species in either temperature treatment, suggesting that AMF from thermal soils are not specifically adapted to higher temperatures.

Cabral et al. (2016) Wheat (T. aestivum) Arbuscular mycorrhizal fungi

AMF increased grain number in wheat plants, alter nutrient allocation and tiller number composition in the plants under heat-stress.

Duc et al. (2018) Tomato (Solanum lycopersicum) Septoglomus deserticola and

Septoglomus constrictum (Arbuscular mycorrhizal fungi)

Inoculation with AMF reduced oxidative stress by decreasing lipid peroxidation and hydrogen peroxide levels and enhancing antioxidant enzyme activities.

Eerens et al. (1998) Ryegrass (Lolium perenne) Neotyphodium lolii (Endophytic fungus)

The endophyte affects the morphology and physiology of the ryegrass plant.

The interaction between endophyte and temperature was significant for ergovaline concentration and wilt score.

Hennessy et al. (2016) Perennial ryegrass (L. perenne L.); Italian ryegrass (L. multiflorum

Lam.) Epichloë festucae (Endophytic fungus) The endophyte strain AR37 (Epichloë festucae var. lolii) provided ryegrass with resistance against Porina larvae, a major pasture pest in cooler areas of New

Zealand by producing high concentrations of epoxy-janthitrem alkaloids at high temperature. In contrast, AR37-infected ryegrass grown at low temperature produced low concentration of epoxy-janthitrem resulting in a small anti-feedant effect against pasture pest only in perennial ryegrass.

Hubbard et al. (2012) Durum wheat (T. turgidum) Endophytic Ascomycetous mitosporic fungi

Fungal endophytes increased wheat seed germination percentage, improved the hydrothermal time (HTT) and energy of germination (EG) value and enhanced resistance to wheat exposed to heat in vitro as measured by fresh weight of seedlings (Continued)

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TABLE 1 | (Continued) References Host species Symbiont

Key findings Hubbard et al. (2014) Durum wheat (T. turgidum)

Endophytic Ascomycetous mitosporic fungi Endophytes enhanced wheat tolerance against heat stress in parental plants and second-generation seeds which was measured by quantifying efficiency of photosystem II, average seed weight (ASW), total seed weight (TSW), water-use efficiency (WUE), time to 50% germination and percentage germination of second-generation seeds produced under heat stress.

Ismail et al. (2018) Sunflower (H. annuus); Soybean (G. max)

A. japonicus (Endophytic fungus) A. japonicus EuR-26 endophytic fungus isolated from the wild plant Euphorbia indica L. have heat stress relief potential. A. Japonicus can modulate the growth of host plants under heat stress and can be used in arid and semiarid regions of the world as a thermal stress alleviator.

Ismail et al. (2019) Sunflower (H. annuus) and Soybean (G. max

A. flavus (Endophytic fungus) Harms due to heat stress on soybean and sunflower appeased by inoculating endophytic fungi A. flavus isolated from Euphorbia indica. In fact, the endophytic fungi influenced to regulate the concentration of ABA, proline, phenols, flavonoids, catalase and ascorbic acid oxidase to withstand soybean and sunflower plants against heat stress.

Ismail et al. (2020a) Sunflower (Helianthus annuus); Soybean (Glycine max)

A. niger (Endophytic fungus) Endophytic fungi A. niger isolated from Sonchus asper protected soybean and sunflower from excessive thermal stress by increasing plant height, biomass and chlorophyll content. In fact, A. niger alter plant physiology in such a way that, concentration of AAO, CAT, GR, SOD, POD, proline and phenolics were augmented while lipid peroxidation, ROS ad ABA reduced under thermal stress at 40◦C.

Ismail et al. (2020b) Sunflower (H. annuus); Soybean (G. max)

A. violaceofuscus (Endophytic fungus) Endophytic fungi A. violaceofuscus isolated from the fern Dryopteris flix L. protected sunflower and soybean against thermal stress through secreting secondary metabolites. Such secretion increased the total chlorophyll content, plant height by decreasing the concentration of reactive oxygen species, abscisic acid, catalase, ascorbic acid oxidase, proline.

Ismail et al. (2020c) Sunflower (H. annuus); Soybean (G. max)

Rhizopus oryzae (Endophytic fungus) Thermal stress to soybean and sunflower caused by climatic change can be mitigated to a great extent by using R. oryzae, an endophytic fungus isolated from roots and leaves of Adiantum capillus-veneris L. The plant growth promoting fungus, R. oryzae, improved heat stress tolerance of plants through inducing high concentration of phenolics, flavonoids, salicylic acid (SA) and indole 3-acetic acid (IAA), ascorbic acid oxidase (AAO), catalase (CAT), proline, sugars, proteins and lipids.

Issa et al. (2018) Tomato (S. lycopersicum) Paraburkholderia phytofirmans (Bacteria)

Bacterial inoculation with P. phytofirmans strain PsJN improved tomato plant growth by enhancing chlorophyll content and gas exchange parameters and increased the accumulations of sugars, total amino acids, proline, and malate.

Khan et al. (2012a) C. sativus Paecilomyces formosus LHL10 (Endophytic fungus)

The association with endophytic fungus, P. formosus LHL10 significantly improved growth parameters of cucumber plants such as higher leaf area, chlorophyll contents, shoot fresh and dry weights compared to control even under stress conditions. P. formosus helped the plant to cope with the adverse effects of temperature stress, especially low-temperature stress.

Khan et al. (2012b) C. sativus Exophiala sp. LHL08 (Endophytic fungus)

Exophiala sp. inoculated plants had significantly higher plant growth characteristics (shoot length, plant biomass, chlorophyll quality, and leaf area) than heat stress control. Exophiala sp.’s interaction with cucumber host plants can modulate heat stress by influencing plant physiological and biochemical traits under heat stress.

Khan et al. (2013) Pepper (Capsicum annuum) Penicillium resedanum (Endophytic fungus)

The endophytic fungus P. resedanum LK6 significantly increased the shoot length, shoot fresh and dry wrights of C. annuum L. plant with or without the exposure to heat stress as compared to non-infected plants. The leaf damage and wilting process were significantly lower in endophyte-treated plants than control under heat stress. Proline and ammonium accumulation and flavonoids synthesis were significantly induced in the endophyte-inoculated plants.

Khan A. L. et al. (2015) Pepper (C. annuum) P. resedanum (Endophytic fungus) P. resedanum LK6 treatment significantly improved shoot length and shoot dry weight of capsicum plants compared with the controls under heat stresses.

Endophyte helps the host to response against stresses by reprogramming the physiological responses of host plant. (Continued)

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TABLE 1 | (Continued) References Host species Symbiont

Key findings Khan et al. (2020a) Tomato (S. lycopersicum)

B. cereus (Bacteria) Simultaneous use of plant growth-promoting endophytic bacteria B. cerus and humic acid (HA) can counteract the negative effects of heat stress.

Co-application of B. cereus SA1 and humic acid (HA) on tomato seedlings can protect against heat stress by balancing required biochemicals like ABA, SA,

APX, GSH, SOD, Fe, P, K. As a result, SA1 and HA can be used as a commercial biofertilizer.

Khan et al. (2020b) Soybean (G. max) B. cereus (Bacteria)

Negative impact of heat stress on growth and yield of soybean due to global climatic change can be mitigate by using thermo tolerant B. cereus bacteria. In fact, B. cereus can be used as a bio fertilizer as it can promotes biologically active metabolites like GA, IAA and organic acids besides maintaining optimum balance of ABA, SA, protein ad antioxidant concentration.

Li X. et al. (2021) Ryegrass (L. perenne) A. aculeatus (Endophytic fungus)

Inoculation with fungus improved heat tolerance by enhancing the photosynthetic apparatus, decreased the antioxidant enzyme activities, and mitigated membrane lipid peroxidation.

Martin and Stutz (2004) Pepper (C. annuum) Glomus intraradices, Glomus sp. (AZ 112) (AM fungi)

At moderate temperatures, phosphorus uptake by all AM colonized pepper plants was enhanced relative to non-AM plants but there was no corresponding enhancement of growth. In contrast, at high temperature, pepper growth was increased as a result of inoculation of the G. intraradices isolate and the Glomus isolate mixture as compared to non-AM controls, despite relatively less phosphorus transfer to the plant by the fungi.

Mathur and Jajoo (2020) Maize (Zea mays) Glomus sp.

AMF exerted their beneficial effects by altering PSII heterogeneity under high temperature. Presence of AMF was able to protect maize plants by regulating electron transport through PSII and thus regulating reducing side heterogeneity of PSII under high temperature stress.

Maya and Matsubara (2013) Cyclamen persicum G. fasciculatum (AM fungus)

Symbiotic association of G. fasciculatum, an arbuscular mycorrhizal (AM) fungus, and Cyclamen persicum mitigated heat stress damage by enhancing antioxidant concentration like superoxide dismutase, ascorbate peroxidase, ascorbic acid, and polyphenol. Moreover, compare to control mycorrhizal symbiosis provokes higher plant biomass in the host plants.

Mukhtar et al. (2020) Tomato (S. lycopersicum) B. cereus (Bacteria)

Bacterial inoculation promoted shoot, root length, leaf surface area, fresh and dry weight and enhanced extracellular polymeric substances (EPS) production and reduced the adverse effects of heat on tomato growth.

Sangamesh et al. (2018) Rice (Oryza sativa) Chaetomium sp. (Fungus)

Inoculation with Chaetomium sp. increased root and shoot growth as well as survival percentage under heat stress.

Sarkar et al. (2018) Wheat (T. aestivum) B. safensis and Ochrobactrum pseudogrignonense (Bacteria)

PGPR enhanced thermotolerance by reduction of ROS production, membrane damage, maintenance of chloroplast structure and enhanced chlorophyll content, increased expression of an array of redox enzymes and accumulation of osmolytes.

Shekhawat et al. (2020) Arabidopsis thaliana Enterobacter sp. (Endophytic bacterium)

Enterobacter sp. SA187 increased significant heat stress tolerance in

A. thaliana. Enterobacter sp. SA187 enhanced the expression of heat-responsive and heat memory-related genes upon heat stress, therefore helping plants to survive better to heat stress.

Tian et al. (2015) Festuca rubra Epichloë festucae (Endophytic fungus)

E. festucae infection did not affect the physiological responses of the plants on improving heat stress tolerance in strong creeping red fescue.

Waqas et al. (2015) Rice (O. sativa) P. formosus (Endophytic fungus)

The phytohormones and other secondary metabolites formed by the endophytic fungus P. formosus LWL1 in the Dongjin Japanese rice cultivar played a potential role in heat-stress mitigation. These fungal endophytes may be useful for the sustainable production of crops under high ambient temperature levels as they showed positive result.

Yeasmin et al. (2019) Asparagus officinalis G. intraradices (AM fungus)

Arbuscular mycorrhizal fungi (AMF) G. intraradices ameliorated damage of asparagus crop caused by heat stress. AMF-inoculated asparagus plants compare to control performed better regarding growth, nutrient uptake, heat stress responses. Besides, increased antioxidative activities of SOD and ascorbate peroxidase in inoculated plants lessen leaf browning. (Continued)

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TABLE 1 | (Continued) References Host species Symbiont

Key findings Zhu et al. (2011) Maize (Z. mays) G. etunicatum (AM fungus)

Compared to control, maize plants inoculated by AM fungus G. etunicatum showed better performance regarding photosynthesis, stomatal conductance, and transpiration in leaves. Furthermore, AM fungus may protect maize plants against high temperature stress by improving water use efficiency.

FIGURE 2 | Growth responses of microbe-inoculated plants compared with those of non-inoculated plants under heat stress and non-stressed conditions. Error bars are effect size (SMD) means ± 95% CIs. Where the CIs do not overlap the vertical dashed lines, the effect size for a parameter is significant, i.e., the growth responses of inoculated plants were significantly different from those of non-inoculated plants. n = number of studies included in the meta-analysis, p = significance level of SMD. high-temperature stress (Figure 2). Although root dry biomass was found to be significantly augmented (SMD: 0.4728, p: 0.037) by microbial colonization under heat stress, its effect on the length of the root was variable and less prominent (SMD: 0.6739, p: 0.098) even though under non-stressed conditions microbial colonization resulted in longer roots in host plants (Figure 2).

Leaf relative water content (RWC) did not show any significant changes due to microbial colonization either under stress or non-stressed conditions. However, the wider CI values propose that the influence on plant RWC varies by some factors (Figure 2).

Since there was significant heterogeneity in microbial impact on plant root length, we attempted to identify the potential moderators by categorical analysis. We noticed that microbes had a substantial impact on root length regardless of whether the host belonged to the legume with non-legume or whether the symbiont belonged to fungi or bacteria under thermal stress (Figures 3A,D). However, under normal conditions, bacterial symbiont had significantly increased root length, but fungi did not demonstrate this effect. The roots of dicotyledonous plants increased significantly in the presence of microbial symbionts regardless of stress impact, but those of monocotyledons did

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FIGURE 3 | Effects of microbial inoculation on plant root length under normal and high temperature stress conditions for various categorical variables such as (A)

Plant nodulation, (B) Plant clade, (C) Plant Family, and (D) microbes’ types (fungi or bacteria). Error bars are the effect size means ± 95% CIs. Where the CIs do not overlap the vertical dashed lines, the effect size for a parameter is significant, i.e., the growth responses of AMF plants were significantly different from those of non-AMF plants. n = number of studies included in the meta-analysis, p = significance level of SMD. not show this response (Figure 3B). When considering the plant family as a moderator, Poaceae and Asteraceae had an overall neutral influence in root length, but Fabaceae and those belong the other family had significantly positive responses to microbial colonization under both stressed and normal temperature (Figure 3C).

Microbial Symbiosis on Plant Photosynthesis Under Thermal Stress

All photosynthetic parameters considered, however, tended to be influenced more under stress than under non- stress conditions, as evident from their larger effect sizes (Figure 4). Microbial colonization significantly increased net photosynthesis, maximum photochemical efficiency (Fv/Fm), and photosynthetic pigments such as chlorophyll, carotenoids, flavonoids, and phenolics in plants under high-temperature stress as compared to non-colonized plants. However, under normal temperature, these effects were not as strong as under stressed conditions (Figure 4). For example, symbiotic plants had 25% (1.37, p = 0.0002) and 51% (2.80, p = 0.004) higher total chlorophyll and net photosynthesis, respectively, over non-symbiotic plants under stress but these were only 11% (0.94, p = 0.004) and 16% (1.79, p = 0.035) higher under ambient conditions (Figure 4). There was no significant effect on stomatal conductance in general, but the wider CI-values, as well as heterogeneity statistics, showed that it varies due to different plant-microbe systems.

Improvement in the photosynthetic ability of symbiotic plants is correlated clearly with the increased plant biomass of inoculated plants. Thermal stress exerts a negative impact on photosynthetic machinery and gas exchange in plants causing altered physiological and biochemical processes. Similar to heat stress, early reaction to water deficit could result in

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FIGURE 4 | Effect of microbe inoculation on photosynthetic parameters compared with those of non-inoculated plants under heat stress and non-stressed conditions. Error bars are effect size (SMD) means ± 95% CIs. Where the CIs do not overlap the vertical dashed lines, the effect size for a parameter is significant, i.e., the growth responses of inoculated plants were significantly different from those of non-inoculated plants. n = number of studies included in the meta-analysis, p = significance level of SMD. accelerated stomatal closure and reduced water loss (Malinowski and Belesky, 2000) in microbial colonized plants. Also, an augmented chlorophyll pigment in symbiotic plants under stress reflects their better photosynthesis which corelates with their stress tolerance (Harman, 2000; Harman et al., 2004;

Bae et al., 2009). Carotenoids and flavonoids are efficient quenchers of ROS, such as peroxide radicals and singlet oxygen molecules, and thus abate oxidative damage (Wahid et al., 2007; Agati et al., 2012). Increased carotenoids content in microbe-treated plants compared to untreated under heat stress provides evidence of involvement of this antioxidant in the microbe mediated ROS scavenging pathway for increasing plant heat stress tolerance (Figure 4). It has been shown that carotenoids of the xanthophyll family and some other terpenoids bring about a decreased fluidity (thermostability) of the lipid membrane, resulting in reduced susceptibility to lipid peroxidation under high temperatures (Havaux, 1998; Velikova et al., 2004; Sharkey, 2005). It is also worthwhile mentioning that in a recent paper it was demonstrated that plants grown under warmer conditions are able to better control oxidative stress and lipid peroxidation thanks to the activation of higher antioxidant defenses (Bertini et al., 2021). Phenolics, flavonoids, anthocyanins, lignins, etc., are important secondary metabolites in plants and are involved in stress tolerance in the plant (Chalker-Scott, 2002; Wahid, 2007; Wahid et al., 2007). We noted that microbial colonization significantly increased phenolics and flavonoids in plants under heat stress (Figure 4). Increased accumulation of phenolics under heat stress was shown to be associated with higher phenyl ammonia-lyase (PAL) and lower peroxidase and polyphenol lyase activities (Rivero et al., 2001).

Microbial Symbiosis on Osmolytes and Hormones Accumulation Under Thermal

Stress One of the important mechanisms plants employ to withstand various stresses, including extreme temperatures stress, is the accumulation of certain organic compounds known as

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FIGURE 5 | Effect of microbe inoculation on osmplytes and hormones compared with those of non-inoculated plants under heat stress and non-stressed conditions. Error bars are effect size (SMD) means ± 95% CIs. Where the CIs do not overlap the vertical dashed lines, the effect size for a parameter is significant, i.e., the growth responses of inoculated plants were significantly different from those of non-inoculated plants. n = number of studies included in the meta-analysis, p = significance level of SMD. compatible osmolytes (Hare et al., 1998; Sakamoto and Murata,

2002). Depending on the plant species and stress type and severity, various compounds such as sugars, sugar alcohols, proline, glycinebetaine (GB), and tertiary sulfonium compounds are accumulated (Sairam and Tyagi, 2004). In plants, GB plays a vital role as an osmolyte under various stresses, such as drought, salinity, or high temperature (Giri, 2011). Different plants showed varying capacity to synthesize GB under stress (Ashraf and

Foolad, 2007; Wahid et al., 2007). However, we did not come across any study that investigated the involvement of GB in microbial-mediated plant heat stress tolerance; there is room for future researchers to find out the role of this compound.

Similar to GB, proline also accumulates in plants under stresses and take part in plant abiotic stress tolerances.

Proline accumulation helps in osmotic adjustment and plays a protective role as a ROS scavenger under thermal stress (Szabados and Savouré, 2010; Kaur and Asthir, 2015). However, it is still controversial if its presence is an adaptive response that provides greater stress tolerance or if its increase is a symptom of stress injury (Ashraf and Foolad, 2007). Apparently, no significant difference in proline accumulation in colonized plants versus non-colonized plants (Figure 5) suggests that the effect of proline is not independent but relies on many factors, one among them being phytohormones (Iqbal et al.,

2019). Similar findings were reported on proline accumulation and its association in microbe-mediated plant drought tolerance (Dastogeer, 2018). It was hypothesized that relatively higher levels of proline in microbial colonized plants indicate a reduced extent of damage in a stressed plant (Dastogeer and Wylie,

2017; Dastogeer et al., 2018). Proline functions as low-molecular weight chaperones in plants and helps avoid the stress effect (Gupta et al., 2013). Because of its zwitter ion nature, proline accumulates to high-concentration in cell cytoplasm during stress. Yet, over-accumulation of proline could show toxicity to plant cells (Rizhsky et al., 2004). Genotypic variations for varying levels of proline due to stress have been known in earlier studies with sunflower (Amutha et al., 2007; Harsh et al., 2016).

Therefore, the status of proline level is not a reliable indicator of stress tolerance of plants (Silvente et al., 2012).

Similarly, the accumulation of soluble sugars under heat stress has been reported in sugarcane, which entails great implications for heat tolerance (Wahid and Close, 2007). Under

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Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms high temperatures, fruit set in tomato plants failed due to the disruption of sugar metabolism and proline transport during the narrow window of male reproductive development (Sato et al.,

2006). Among other osmolytes, 4-aminobutyric acid (GABA), a non-protein amino acid, is widely distributed throughout the biological world to act as a compatible solute. Several studies showed that various environmental stresses increase GABA accumulation through metabolic or mechanical disruptions, thus leading to cytosolic acidification. Rapid accumulation of GABA in stressed tissues may provide a critical link in the chain of events stemming from perception of environmental stresses to timely physiological responses (Kinnersley and Turano, 2000).

Phytohormones, like abscisic acid (ABA), salicylic acid (SA), and jasmonic acid (JA), serve as signaling compounds during stress (Shinozaki and Yamaguchi-Shinozaki, 2007). ABA, an isoprenoid phytohormone, is involved in the regulation of many physiological processes in plants, including stomatal opening and closing, protein storage, and adaptation to stress. In nature, where heat and drought stress usually coincide, induction of

ABA is an important element of thermotolerance, pointing to its role in biochemical pathways essential for survival under heat stress (Maestri et al., 2002; Sah et al., 2016). Several studies highlighted that induction of various heat shock proteins (HSPs) (e.g., HSP70) by ABA may be one mechanism whereby it confers thermotolerance (Pareek et al., 1998). Interestingly, however, in our meta-analysis, ABA level was found significantly lower in colonized plants as compared to the non-colonized plants (Figure 5). Some microbes produce biologically active gibberellins (GAs), which might be associated with plant growth promotion through reducing stress hormones like ABA (Zhang et al., 2014; Verma et al., 2016; Bashar et al., 2019). Under stressful conditions, the plant regulates stress hormones like

ABA through active chemical signals, which induce extreme sensitivity to stomatal conductance (de Ollas and Dodd, 2016;

Verma et al., 2016).

The salicyclic acid (SA) is an important signaling component in response to systemic acquired resistance (SAR) and the hypersensitive response (HR) (Kawano et al., 1998) and modulates plant growth, development, flowering, stomatal response, ethylene synthesis, and respiration (Waqas et al., 2012;

Khan M. I. R. et al., 2015; Wani et al., 2017). Various studies highlighted the roles of SA in improving plant tolerance to heat stress (Larkindale and Knight, 2002; Wang L.-J. et al.,

2010; Khan M. I. R. et al., 2015). The SA stabilizes the trimers of heat shock transcription factors and helps them bind heat shock elements to the promoter of heat shock-related genes.

SA-induced thermotolerance involves Ca2+ homeostasis and antioxidant systems (Wang and Li, 2006). Our meta-analysis showed that microbial inoculation greatly enhanced SA levels in plants under heat stress conditions (Figure 5).

The Jasmonic acid (JA) has roles in the biosynthesis of defensive secondary metabolites and proteins (Balbi and Devoto,

2008) as well as it is involved in many physiological processes such as resistance to insects and pathogen, pollen development, senescence, and root growth (Lorenzo et al., 2004). Khan et al. (2012b) and Waqas et al. (2015) reported a substantially low induction of this hormone in microbial colonized plants under stress suggesting its involvement in heat tolerance. The JA level was increased in Exophiala sp.-inoculated plants under growth conditions significantly reduced as compared to non-inoculated plants (Waqas et al., 2015). Further studies are needed to observe if reduction of JA is common in all microbe-mediated thermo- tolerance and what are the underlying mechanisms involved.

Another hormone, ethylene is involved in almost all growth and developmental processes in plants, including stress tolerance (Iqbal et al., 2017). Variable responses in ethylene production (i.e., increase or decrease) in plants have been reported under heat stress conditions (Antunes and Sfakiotakis, 2000; Arshad and Frankenberger, 2002; Larkindale and Huang, 2005). We did not come across any study that looked into ethylene production for microbial colonized versus non-colonized plants under normal or stress conditions, and this is an area of future research.

The hormones gibberellins and cytokinins show contrasting roles on plant heat tolerance to ABA (Liu and Hou, 2018; Li N. et al., 2021). However, there are insufficient studies on the effect of gibberellins and cytokinins on microbial conferred heat tolerance for inclusion into our meta-analysis. In a study, an endophyte

Penicillium resedanum LK6 produces gibberellins and improves growth, and provides resilience to environmental stresses (Khan

A. L. et al., 2015). Further investigation is necessary for revealing the involvement of gibberellins and cytokinins in this regard.

Microbial Symbiosis on Activity of Antioxidant Enzymes Under Thermal

Stress Reactive oxygen species (ROS) are produced in the plant as by-products of aerobic metabolism and exist in several forms such as hydroxyl radicals (•OH) and superoxide anions (O2−), hydrogen peroxide (H2O2), or singlet oxygen (1O2) (Blokhina et al., 2003; Apel and Hirt, 2004; Mittler et al.,

2004). The ROS functions as signaling molecules, at low levels, they are necessary for basic biological processes of the plant, but higher levels are detrimental and may cause DNA damage and incorrect timing of programmed cell death (PCD) directly (Tsukagoshi et al., 2010; Zafra et al., 2010; Xie et al.,

2014). The plant has an efficient well-coordinated, and rapidly responsive antioxidant system, including both non-enzymatic and enzymatic processes to mitigate the effect of overproduction of ROS. However, the equilibrium between synthesis and removal of ROS may be perplexed under various biotic and abiotic stresses (Quan et al., 2008; Huang et al., 2019). For example, at higher temperatures, there is an increased production of

ROS causing a disparity between ROS production and the ability of the scavenging process to detoxify and remove the reactive intermediates (Saidi et al., 2011; Hemantaranjan et al., 2014). The association of microbial symbiosis has been described for higher tolerance to different environmental stresses (Hernandez et al., 2000; Larkindale and Knight, 2002;

Halliwell, 2006). Thus, the involvement of the microbiome in mitigating oxidative stress in the plant has recently attracted research interest.

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FIGURE 6 | Effects of microbial inoculation on plant ROS production and antioxidant enzymatic activity under non-stressed, and heat stress. Error bars are means ± 95% CIs. Where the CIs do not overlap the vertical dashed lines, the effect size for a parameter is significant. n = number of studies included in the meta-analysis, p = significance level of SMD.

Ascorbate-Glutathione Cycle It has been shown in several studies that microbial-mediated plant heat stress tolerance is associated with heightened antioxidant defense in inoculated plants. The contributions of the ascorbate-glutathione (AsA-GSH) cycle on plant tolerance under various abiotic stresses have been reported in many plant species (Anjum et al., 2010; Bartoli et al., 2017; Ku´zniak et al., 2017). The four enzymes that steer the cycle are ascorbate peroxidase (APX), dehydroascorbate reductase (DHAR), mono-dehydroascorbate reductase (MDHAR), and glutathione reductase (GR) (Quan et al., 2008; Noctor et al., 2014; Mohi-Ud-Din et al., 2021). In our analysis, we found that there were no overall changes in APX activity in colonized plants under heat stress (Figure 6). However, the wider CI values indicated that the APX accumulation is variable depending on host-microbe types or other factors.

For example, it was reported that treatment with bacteria (Bacillus amyloliquefaciens or Azospirillum brasilense) decreased the activity of this enzyme as well as significantly lower expression of the APX1 gene was observed in heat exposed wheat seedlings (Abd El-Daim et al., 2014). A strikingly different finding was reported in several other studies where microbial treatment increased the level of APX accumulation over non-treated plants under high heat conditions (Maya and Matsubara, 2013;

Yeasmin et al., 2019; Khan et al., 2020b). The other two enzymes: DHAR and MDHAR, could not be included in our meta-analysis because of the insufficient number of reports, but both of them were found to increase significantly in plants under elevated temperature, and microbial colonization results in lower accumulation as compared to non-colonized plants (Abd El-Daim et al., 2014, 2019). In general, a significantly higher accumulation of GR in the microbial colonized plants over non-colonized plants was observed through our meta- analysis (Figure 6). The GR plays a crucial role in controlling the levels of reduced glutathione in the plant (Huang et al., 2019).

Glutathione modulates ROS levels in cells through both auxin/PLETHORA (PLT) dependent and independent pathways, thereby participating in and maintaining ROS homeostasis in the plant (Yu et al., 2013).

Antioxidant Enzymes Apart from the AsA-GSH cycle, SOD (superoxide dismutase),

CAT (catalase), POD (peroxidase), glutathione peroxidases (GPX), and glutathione-S-transferases (GST) are important antioxidant enzymes in plants taking part in ROS homeostasis under stress. In the plant cells, SOD provides primary protection against O2•−, which is then converted to H2O2 for subsequent metabolism to H2O by CAT and peroxidases (POD, APX, and GPX), thus protecting the cell damage (Mittler et al.,

2004; Gill and Tuteja, 2010; Wang G. et al., 2010; Mohi- Ud-Din et al., 2021). The current meta-analysis showed no

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Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms apparent disparity in SOD measurement in colonized over non- colonized plants, but the higher CI values indicated that SOD accumulation varied significantly among studies. For example, in a study, Li X. et al. (2021) did not notice any changes in SOD accumulation in Aspergillus aculeatus inoculated Lolium perenne, although this fungus improved the heat tolerance of this plant.

Similar results have been reported for Septoglomus deserticola and Septoglomus constrictum (AM fungi) mediated heat stress tolerance in the tomato plant with no apparent changes in SOD activity (Duc et al., 2018). In contrast, a few studies reported a significant increase in SOD in microbial colonized plants under high-temperature stress (Maya and Matsubara, 2013; Yeasmin et al., 2019; Bruno et al., 2020; Khan et al., 2020a). Regarding

CAT and POD, they showed consistently higher accumulation (CAT, p = 0.021; POD, p = 0.006) in colonized plants as compared to non-colonized controls under heat stress across various studies (Figure 6).

Also, a significantly decreased level of hydrogen peroxide (H2O2) and Malondialdehyde (MDA) (p < 0.001) in microbial- treated plants adds further support to a lower level of heat stress injury due to the increased induction of the antioxidant defense systems compared to the non-treated plants (Figure 6).

The MDA is the principal and extensively studied product of polyunsaturated fatty acid (PUFAs) peroxidation. The MDA levels are used as a measure of membrane lipid peroxidation and oxidative stress and the impact it has on membrane fluidity, leakiness, and damage of membrane proteins, enzymes, and ion channels (Garg and Manchanda, 2009; de Dios Alché, 2019).

MICROBIAL SYMBIOSIS ON PLANT THERMOTOLERANCE: MOLECULAR

ASPECTS There is a huge lack of understanding of the mechanisms of microbe-mediated plant heat stress tolerance at the molecular level. The heat shock protein (HSPs) act as “molecular chaperones,” and their upregulation is well known to increase thermotolerance in plants. The expression of heat stress- dependent regulatory proteins such as heat shock transcription factors (HSFs) and heat shock proteins (HSPs) have been described. The HSPs are crucial in regulating and restoring protein structures and maintaining the condition of plants under heat stress (Queitsch et al., 2000; Nakamoto and Vigh, 2007;

Xu et al., 2012; Wang et al., 2014). Several studies reported an increased level of expression of HSPs in the microbial colonized plant compared to non-colonized plants under heat stress (Abd

El-Daim et al., 2019; Bruno et al., 2020; Li X. et al., 2021). To reveal the mechanisms through which Enterobacter sp. SA187 mediates plant thermotolerance in Arabidopsis Shekhawat et al. (2020) carried out RNA-seq and targeted transcriptomic analyses.

They described that the bacteria-mediated heat tolerance is associated with the gene networks for heat protection of plants similar to that of the heat priming (pre-exposure of plants to heat that enables plants to be better prepared to response to heat stress). For example, heat tolerance is associated with the upregulation of genes related to the auxin and gibberellin hormones and the down-regulation of the genes related to jasmonic and abscisic acid. It was also found to be related to hyper-induction of heat-responsive and heat memory genes, which is proven in heat primed plants (Lämke et al., 2016; Ling et al., 2018; Liu et al., 2018). The bacteria inoculated plants resulted in higher expression of several heat-responsive genes such as HSFA2, HSP101, HSP70, HSP70B, GA3OX1, HSP90.1, and ATERDJ3A as well as heat memory genes; APX2 (ascorbate peroxidase 2), HSP18.2, H3K4me3 (epigenetic modification to the DNA packaging protein Histone H3) (Lämke et al., 2016;

Sedaghatmehr et al., 2016). In a study, increased expression of heat shock protein gene HSP17.8 and Dehydration-responsive gene DREB1 and decreased expression of POD47 and FeSOD have been reported for fungal (Aspergillus aculeatus) conferred heat stress tolerance in Lolium perenne grass (Li X. et al., 2021).

Khan et al. (2020b) reported that GmLAX3 and GmAKT2, the key genes involved in the regulation of the ABA-dependent pathway, were downregulated initially but upregulated after 5 and

10 days in the inoculated soybean plant under thermal stress.

The expression of these genes may be linked with plant stress response by modulating auxin and ABA signaling, decreasing

ROS production and enhancing K+ gradients, which are critical in plant tissues under various stresses (Zhou et al., 2014; Chai et al., 2016). The B. velezensis inoculation induced an increased abiotic stress tolerance, and the pattern of metabolic modulation and abundance of several proteins were found to be similar in wheat challenged with different abiotic stress factors such as heat, cold, and drought (Abd El-Daim et al., 2019).

Taken together, high-temperature influences plant growth by affecting photosynthesis, osmotic balance, enzymatic activities, and metabolic activities. Microbial symbionts consistently help plants reduce the impact of thermal stress by manipulating physiological processes (Figure 7). Microbe-induced plant heat stress tolerance has broad ecological and agricultural implications.

In some regions, increased stress tolerance can result in higher crop yield under higher temperature environments. Continued interest in the microbiome and their functional roles in uncovering the underlying mechanisms of plant-microbe interaction appears well-justified.

FUTURE DIRECTION AND CONCLUSION Despite the evidence of global warming and the importance of heat stress on plant ecology and productivity (Wahid et al., 2007;

Teixeira et al., 2013; Jagadish et al., 2021) and the increasing evidence of microbial functions of plant stress tolerance (Table 1 and Figure 1), the current review here identified a significant lack in our knowledge on microbial conferred plant performance and productivity under high-temperature conditions. Apparently, the most crucial of these is the lack of experiments that demonstrate how do microbes actually influence plant responses in the natural environment. Most of the investigations reviewed here were carried out under controlled environmental conditions and on cultivated host species. Therefore, experiments focusing on the impacts of symbionts on wild and crop plants exposed to heat stresses in the natural environment are required. In a recent

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FIGURE 7 | Illustration of the effects of microbial inoculation on plant physiological activity and stress tolerance under high temperature. The upward arrow (↑) indicates increase of the value for microbial-treated plants compared to non-treated plants whereas, downward arrow (↓) indicates decease, wavy line (∼) indicates the effect is variable and the question mark (?) unavailable information. paper, Ballesteros et al. (2020) analyzed metatranscriptomic data from the Antarctic plant Colobanthus quitensis, highlighting that the plant-associated fungal community provides beneficial effects, such as increased plant growth, tolerance to abiotic stress, and higher leaf carbon gain, when plants are grown under a simulated global warming scenario. The reports from these investigations should include mean values of response variables, measures of variance, and replication and preferably provide the actual dataset as the Supplementary Data so that these data can be used in future meta-analyses. Although it was shown that increasing temperatures due to climate change might negatively impact the outcomes of symbioses (Kiers et al., 2010), the current meta-analyses indicated that microbial symbionts have more positive effects on plant performance under heat stress than under normal conditions. It is not clear why microbial inoculation exerts its effects in more stressed conditions than under normal temperatures conditions, but putatively, this is associated with plant stress acclimation at the molecular or cellular levels. Tolerance of non-colonized plants to heat stress is well studied, and the reports suggested that the mechanisms are associated with enhanced expression of a variety of heat shock proteins, other related proteins, production of ROS, and induction of mitogen-activated protein kinase (MAPK) and calcium-dependent protein kinase (CDPK) cascades, and, most importantly, chaperone signaling and transcriptional activation (Wahid et al., 2007). As previously shown for abiotic stresses such as freezing and drought and assumed for microbial conferred cold adaptation (Knight and

Knight, 2001; Acuna-Rodriguez et al., 2020), some kind of cross-talk between the proteins common to signaling pathways are present for responses to heat and microbial colonization leading to enhanced plant metabolism. The involvement of microbial elicitors at the plant cell surface resulting in increases in cytosolic Ca2+ concentrations could be another possibility (Sanders et al., 1999; Acuna-Rodriguez et al., 2020). However, more research is needed to establish whether these or similar mechanisms might explain the beneficial effects of microbial symbionts on plants at higher temperatures. As discussed by

Acuna-Rodriguez et al. (2020), less attention has been paid toward understanding the differences in the optimum growth temperatures of microbial symbionts and their plant hosts. For instance, in the Epichloe symbiosis, the seemingly decreased plant performance at low temperatures in the natural conditions could be that the minimum temperatures requirement of the endophytes being higher than those of their hosts (Casler and Van Santen, 2008; Wäli et al., 2008). Extensive surveys to identify novel microbial symbionts capable of improving plant performance under stress are advocated. Isolation of naturally occurring plant and soil microbiomes and screening them for potential symbiotic benefits is a continuous process.

Developing a rapid but robust screening method is important so that a large collection of microbes can be tested for their effects, and the results should be supported by field experiments in order to translate the research into the field.

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A few surveys focused on endophytes collected from hot environments, and some of the endophytes tested were found to grow at high temperatures (Zhou et al., 2015; Dastogeer et al.,

2019). Studies on other components of the plant microbiome such as algae, protists, and viruses revealed that they are also present in the tissues or in the rhizosphere of many plant species and provide some fitness benefits (Roossinck, 2015;

Gao et al., 2019; Dastogeer et al., 2020a; Dumack and Bonkowski,

2021; Lee and Ryu, 2021). For example, rhizosphere protists altered the metabolites of the maize plant, particularly, polyols.

This alteration is presumably to be associated with reduction of the impact of stress caused due to grazing (Kuppardt et al., 2018). A plant virus, yellowtail flower mild mottle virus (YTMMV, genus Tobamovirus), enhanced drought stress tolerance in Nicotiana benthamiana plants by modulating its metabolic compounds (Dastogeer et al., 2018). However, the effect of many of the microbiome components has received less attention. We also suggest studies that consider microbial symbionts on plant heat tolerance should take into account the involvement of secondary metabolites because many microbes utilize these compounds in the interaction with plants and with environments (Zaynab et al., 2018; Ullah et al., 2020). Another important area of research, but has so far been neglected, is to study the multi-partite interaction of microbes and their impact on stress tolerance, such as thermal tolerance. It was found that a fungus can increase the heat tolerance of a plant only in the presence of a virus within it, whereas neither virus nor the plant separately could confer this benefit. Therefore, a three-way symbiosis is required for thermal tolerance. In nature, plants do not remain in isolation but in continuous interaction with a wide variety of microbes (Marquez et al., 2007).

In addition to microbe-plant interaction, microbe-microbe and microbe-environment interaction should be taken into account to understand the stable functions of a particular microbe in its potential application in agricultural settings, which is a dynamic environment and subject to continuous changes (Dastogeer et al., 2020a).

AUTHOR CONTRIBUTIONS KD developed the concept, performed the database search, partially collected the data, analyzed and interpreted the results, and wrote the draft. MZ, MR, and MS extracted the data, produced the graphs, discussed the results, and revised the manuscript. AC produced the table and discussed the results. All authors approved the final version of the manuscript.

SUPPLEMENTARY MATERIAL The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.

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📖 中文全文 Chinese Full Text

中文

以下是该学术英文内容的中文翻译,尽量保留专业术语的准确性与学术表达:

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**综述** 发表日期:2022年3月7日 DOI:10.3389/fmicb.2022.833566

**编辑:** Marco Scortichini, 意大利农业与经济研究委员会(CREA),意大利

**审稿人:** Laura Bertini, 意大利图斯卡大学 Vikas Srivastava, 印度查谟中央大学

**\*通讯作者:** Khondoker M. G. Dastogeer dastogeer.ppath@bau.edu.bd

**专业栏目:** 本文提交至《微生物与植物相互作用》栏目, 该栏目隶属于期刊《Frontiers in Microbiology》(《微生物学前沿》)。

收稿日期:2021年12月11日 接受日期:2022年2月4日 发表日期:2022年3月7日

**引用格式:** Dastogeer KMG, Zahan MI, Rhaman MS, Sarker MSA and Chakraborty A (2022) Microbe-Mediated Thermotolerance in Plants and Pertinent Mechanisms—A Meta-Analysis and Review. *Front. Microbiol.* 13:833566. doi: 10.3389/fmicb.2022.833566

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## 微生物介导的植物耐热性及其相关机制——一项元分析与综述

**Khondoker M. G. Dastogeer¹\*,Mst. I. Zahan²,Mohammad S. Rhaman³,Mohammad S. A. Sarker⁴ 和 Anindita Chakraborty⁵**

¹ 孟加拉国农业大学植物病理学系,孟加拉国迈门辛 ² 孟加拉国甘蔗研究所育种科科学官,孟加拉国帕布纳 ³ 孟加拉国农业大学种子科学与技术系,孟加拉国迈门辛 ⁴ 孟加拉国黄麻研究所(BJRI)黄麻基础与应用研究项目,孟加拉国达卡 ⁵ 沙贾拉勒科学技术大学遗传工程与生物技术系,孟加拉国锡尔赫特

微生物共生体可通过增强热耐受性来介导植物对逆境的响应,但以往研究较少关注跨植物—微生物研究体系中对这些效应进行定量测量。我们对已发表研究进行了元分析,并结合相关文献进行讨论,以确定共生体在非胁迫条件与热胁迫条件下如何影响植物响应。与未接种植物相比,接种植物在热胁迫条件下表现出显著更高的生物量和光合能力。丙二醛(MDA)和过氧化氢(H₂O₂)积累显著降低,表明定殖植物体内氧化水平较低;这一现象也与热胁迫下微生物定殖所导致的过氧化氢酶、过氧化物酶和谷胱甘肽还原酶活性升高相关。然而,超氧化物歧化酶、抗坏血酸氧化酶、抗坏血酸过氧化物酶以及脯氨酸的变化则表现出一定变异性。我们的元分析表明,微生物定殖会影响植物生长和生理过程,但当宿主植物暴露于高温胁迫时,其效应比在环境温度条件下更为明显。基于现有文献,我们讨论了微生物赋予植物耐热性的机制,包括分子层面的机制。此外,我们强调并提出了未来研究方向,以探索共生体对植物耐热性的影响及其对可持续农业生产的意义。

**关键词:** 抗氧化剂;热胁迫;元分析;植物—微生物互作;植物生理学;共生

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## 引言

由于气候变化,环境温度的持续升高已成为全球重大问题之一,并对作物生长、产量以及粮食安全造成严重不利影响。多种气候模型模拟结果表明,到2100年,全球平均温度可能比当前升高1.1至5.4°C(IPCC, 2019)。热胁迫会对植物生长、发育和生理过程产生多方面的不利影响(Wahid et al., 2007; Hasanuzzaman et al., 2013; Hassan et al., 2021; Jagadish et al., 2021)。植物会采用不同水平的适应、规避、驯化和耐受机制,通过物理、生理、生化和分子策略应对热胁迫,包括利用离子转运体、蛋白质、渗透调节物质、抗氧化剂以及参与信号转导和转录调控的其他因子(Hasanuzzaman et al., 2013; Hassan et al., 2021; Jagadish et al., 2021; Zhao et al., 2021)。近年来,植物对非生物胁迫的响应已得到广泛研究,微生物在植物胁迫响应中的作用也日益受到关注。特别是,植物通常与微生物共生体相关联,这些微生物共同构成植物微生物组,可能影响宿主植物对环境刺激(包括热胁迫)的响应。

微生物无处不在,所有植物均被多种微生物定殖,这些微生物在植物生态学和生理学中发挥重要作用(Rodriguez et al., 2009; Turner et al., 2013; Compant et al., 2019; Dastogeer et al., 2020a)。例如,丛枝菌根真菌(AMF)存在于约80%陆地植物根部(Brachmann and Parniske, 2006),而微生物内生菌(包括真菌和细菌)具有高度多样性,并在迄今研究的每一类植物中无症状地生活。人们越来越认识到,这些微生物以及其他微生物,例如附生菌、病毒、外生菌根真菌、固氮菌等,会对植物产生多种效应,尤其是在不利环境条件下(Porras-Alfaro and Bayman, 2011; Hill et al., 2019; Dastogeer et al., 2020b; Kumar et al., 2020)。这些有益效应强烈依赖于环境条件(Rodriguez et al., 2009; Hoeksema et al., 2010; Dastogeer, 2018),包括对害虫或植食动物的诱导抗性、从土壤中获取限制生长的养分、以及对干旱、盐分和热胁迫的耐受等(Rodriguez et al., 2009; Goh et al., 2013; Hardoim et al., 2015; Azad and Kaminskyj, 2016; González-Teuber, 2016; Molina-Montenegro et al., 2016; Dastogeer and Wylie, 2017; Rho et al., 2018; Hill et al., 2019)。微生物可产生多种化合物,在分子水平上影响植物响应,触发色素、次生代谢物、激素、抗氧化剂和生物碱的生物合成(Meena et al., 2017; Dastogeer et al., 2018; Basit et al., 2021; Naamala and Smith, 2021)。与其他胁迫类似,植物对热胁迫的响应可能受到其与微生物互作的影响,这一点正日益明显(Eerens et al., 1998; Ali et al., 2011; Khan A. L. et al., 2015; Ismail et al., 2020a; Li X. et al., 2021)。

尽管植物组织中的微生物共生体具有普遍性和高度多样性,且热胁迫作为植物逆境因子具有广泛影响和重要经济意义,但与干旱、盐分或养分限制等其他非生物因子相比,共生体参与植物宿主对热胁迫响应的研究仍受到较少关注(Meena et al., 2017; Kumar and Verma, 2018)。现有少量研究表明,微生物对植物热胁迫耐受性的影响程度及其相关机制,例如渗透调节物质、抗氧化剂和植物激素的积累,在不同研究之间存在差异(Meena et al., 2017; Kumar and Verma, 2018)。我们认为,这些差异可能与多种因素有关,例如胁迫水平、宿主和共生体类型、环境条件及其复杂互作。为了深入理解并在农业管理实践中利用共生体的益处,阐明热胁迫条件下微生物—植物互作的详细机制至关重要(Harman and Uphoff, 2019)。仅从单项研究中推断一般性结论往往是薄弱且容易出错的(Dastogeer, 2018)。因此,为了确定中心趋势并明确微生物在胁迫条件下对植物影响及其与对照相比的模式,整合不同研究结果以判断相关因素是否可被识别,是至关重要的(Borenstein et al., 2009; Dastogeer, 2018)。在此,我们进行了元分析,以测量共生作用对与胁迫耐受机制相关的重要植物性状的总体效应强度和方向(有益、有害或中性)。据我们所知,这一方面此前尚未在已发表文章的综述中得到讨论,因此本文填补了我们对植物与其共生微生物伙伴互作理解中的一个重要空白。

元分析是一种数学和统计方法,它整合多项研究的结果,以估计某一处理在一系列研究中的平均效应量(Rosenberg et al., 2000)。我们可以将某项研究的结果与所有其他可比研究进行比较,以评估某一处理效应是否在不同研究中保持一致,或是否在不同研究之间存在显著差异,并判断哪些因素可能解释这些差异(Borenstein et al., 2009)。分类变量或“调节变量”常被纳入元分析,以明确哪些特征以及它们如何调节所关注的处理效应。例如,这种分析方法已被用于确定微生物共生体对植物盐胁迫响应(Chandrasekaran et al., 2014, 2016; Rho et al., 2018)、干旱胁迫(Dastogeer, 2018; Rho et al., 2018)和冷胁迫(Acuna-Rodriguez et al., 2020)的影响。在本研究中,我们汇总了迄今为止所有相关研究的数据,并测量了内生菌对24项植物响应参数的影响,这些参数涵盖植物生长、光合作用、代谢物和酶活性,且这些参数在热胁迫条件下可能发生变化。我们的研究目的总体上包括回答以下问题:微生物定殖对暴露于热胁迫的植物多种生长和光合参数的总体影响是什么?与未胁迫条件相比,热胁迫条件下植物—共生体关系是否存在差异?在暴露于热胁迫的植物中,共生作用在渗透平衡和抗氧化酶调控中发挥什么作用?我们结合相关文献综述,以更深入地理解这一主题。

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## 元分析的文献检索与研究筛选

元数据收集遵循 Field 和 Gillett(2010)提出的一般指南。我们检索了 Web of Science(Clarivate Analysis)和 PubMed 数据库,检索时间截至2020年9月。检索词为:endophyte(内生菌)或 AMF(丛枝菌根真菌)或 mycorrhiza(菌根)或 bacteria(细菌)或 fungi(真菌),并且与 “heat stress*”(热胁迫*)或 “hot stress*”(高温胁迫*)或 “high temperature”(高温)之一组合使用。布尔截词(“*”)用于包含单词的变体,例如 fungi、fungus 和 fungal。检索共得到4,562篇去重论文,其中90篇经阅读标题和摘要后被认为可能包含相关信息。为最终选择用于数据提取的论文,我们预设了以下标准,以便这些研究能够纳入元分析,并尽量减少极端异质性(Cooper, 2015; Ahn and Kang, 2018; Cooper et al., 2019; Seidler et al., 2019):

(i)文章必须描述原创性研究结果,因此综述文章、观点文章、社论、书章和系统综述被排除在元分析之外。 (ii)研究必须至少使用一种微生物菌株,无论接种方案或接种率如何。 (iii)接种菌必须为单一菌株,本元分析不考虑混合接种。 (iv)微生物接种植物和未接种植物均需在正常胁迫和非胁迫条件下培养,并提供数据。 (v)测量了生长及其他参数,例如生物量、酶、激素等。 (vi)论文必须提供样本量(即重复数)、均值、标准差/标准误以及其他可转换为效应量统计数据的统计信息。

基于上述标准,大多数文章被排除在元分析之外,最终仅保留39篇同行评审原创研究文章用于最终分析(补充表1)。我们接受研究之间在施肥水平、生长条件(温室、生长箱或田间)、胁迫施加持续时间、胁迫强度以及生长基质方面存在差异。论文时间跨度为23年(1998—2021年),且均为英文论文。对于可能包含数据但以其他语言撰写的论文,或我们在检索过程中可能无意中遗漏的论文,或因既定筛选标准而未纳入的论文,我们深表歉意。

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## 数据提取与元分析

当一篇论文提供多个研究系统/组的结果时,这些系统被视为独立数据点(Hedges et al., 1999)。从这些文章中,我们提取了宿主身份(植物种、属、科)、共生体身份(属、种)、植物生物量(地上部和根部)、长度(地上部和根部)、相对含水量、光合参数、酶参数以及其他相关数据(补充表2)。每篇研究的均值、样本量(重复数)和标准差均被记录。标准差由标准误(SE)通过公式计算:SE = SD × (n⁻¹/²)。许多研究结果以图形形式呈现,我们使用 WebPlotDigitizer(Rohatgi, 2021)对数值进行数字化提取。如果某篇论文报告了多个处理或宿主/AMF组合,这些组合在分析中作为独立数据单元纳入。然而,若将其视为独立报告,可能会增加特定研究之间的依赖性(Gurevitch and Hedges, 1999)。尽管如此,这种做法被认为可提高元分析的统计效力(Lajeunesse and Forbes, 2003),且多个生物学元分析研究也采用了相同做法(Holmgren et al., 2012; Veresoglou et al., 2012; Mayerhofer et al., 2013; McGrath and Lobell, 2013; Dastogeer, 2018)。

元分析使用 R 4.0.4 版本(R Core Team, 2021)中 “meta” 包的 “metacont” 函数进行(Balduzzi et al., 2019)。虽然 DerSimonian 和 Laird(DL)方法通常被默认用于估计研究间方差,但有建议指出,对于连续数据,限制最大似然估计(REML)是估计研究间方差的更优替代方法(DerSimonian and Laird, 1986; Veroniki et al., 2016; Cooper et al., 2019)。我们使用限制最大似然估计(REML)进行统计推断,并将效应视为随机效应。计算了标准化均值差(SMD),其定义为处理间平均表现差异与合并标准差之比。该效应量测量方法常用于报告连续结局的元分析中,与本研究类似(Faraone, 2008)。通常,SMD 值0.3、0.5和0.8分别被视为小、中和大效应量(Cohen, 1988)。异质性量化及显著性检验采用 Higgins 的 I² 和 Cochran 的 Q 统计量。“I²”定义为效应量间真实异质性占总异质性的比例;而“Q”则是由于真实异质性而非抽样误差所导致的汇总效应量加权偏差(Higgins and Thompson, 2002; Higgins et al., 2003; Huedo-Medina et al., 2006)。按照惯例,I² 值小于25%、25%—75%和大于75%分别代表低、中、高异质性(Higgins et al., 2003)。效应量区间估计的置信水平设为95%;当95%置信区间(CI)不跨越零时,效应量(SMD)被认为具有显著性。SMD为零表明两种处理(微生物接种或未接种)效应等效;SMD大于零表示微生物接种样本优于未接种样本的程度,反之亦然。

针对不同参数各数据集的发表偏倚,通过观察漏斗图和 Egger 回归检验漏斗图不对称性进行测试(Begg and Mazumdar, 1994; Egger et al., 1997; Simonsohn et al., 2014)。我们发现,对于大多数参数,这些数据集不存在明显发表偏倚(补充表2)。对于显示一定偏倚的某些参数,我们在应用修剪填充法(trim-and-fill method)校正偏倚后,采用校正后的效应量(SMD)、置信区间和异质性统计量(Duval and Tweedie, 2000)。然而,在大多数情况下,修剪填充法并未使 SMD 值相对于未修剪 SMD 值发生明显变化(降低)(补充表2)。因此,为保持一致性,我们在绘制森林图时对所有参数均采用未修剪的 SMD 值(即未对发表偏倚进行调整)。

在仔细观察异质性统计量以及 SMD 显著性水平后,我们对根长参数进行了亚组分析,以确定植物或内生菌身份、类型等因素的影响,因为已有足够数据可供分析。某一因素若要作为亚组变量纳入分析,必须至少由四项研究报告。

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## 微生物定殖介导植物热胁迫耐受的元分析综述与讨论

我们综述的文章呈现了涉及多种宿主—微生物体系的实验结果。这些研究在评估微生物定殖对植物热胁迫耐受性的影响时,考虑了多种参数,包括植物生物量,以及生理、分子、代谢和激素水平的响应(图1)。真菌效应出现频率更高,占用于元分析的42篇文章中的69%。总体而言,真菌和细菌共生体均被发现可通过增强光合作用、改善植物抗氧化响应、触发更早的激素信号、提高渗透调节物质和营养平衡,从而在热胁迫下提高植物适应性(表1)。在下一部分中,我们概述了元分析所得微生物共生体对植物热胁迫耐受性的影响,并结合现有文献进行讨论。

### 热胁迫下微生物共生体对植物生长和相对含水量的影响

微生物共生作用显著促进了植物地上部干生物量,并在正常条件下和……

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**图1说明翻译:** 图1 | 本文综述的42篇论文中,按响应变量分组的论文数量。变量大类显示在图A中,生理响应显示在图B中。

**表1说明翻译:** 表1 | 本综述纳入的39项研究,报告了微生物共生体对植物热胁迫响应的影响。