Traits-based approach: leveraging genome size in plant-microbe interactions.

IF 14 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Trends in Microbiology Pub Date : 2024-04-01 Epub Date: 2023-11-02 DOI:10.1016/j.tim.2023.10.004
Haiyang Zhang, Hongwei Liu, Xingguo Han
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Abstract

Trait-based approaches have gained growing interest in studying plant-microbe interactions. However, current traits normally considered (e.g., morphological, physiological, or chemical traits) are biased towards those showing large intraspecific variations, necessitating the identification of fewer plastic traits that differ between species. Here, we propose using genome size (the amount of DNA in the nucleus of a cell) as a suitable trait for studying plant-microbiome interactions due to its relatively stable nature, minimally affected by external environmental variations. Emerging evidence suggests that plant genome size affects the plant-associated microbial community, and tissue-specific environments select microbes based on their genome size. These findings pinpoint environmental selection in genome size as an emerging driver of plant-microbiome interactions, potentially impacting ecosystem functions and productivity.

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基于性状的方法:在植物-微生物相互作用中利用基因组大小。
基于性状的方法在研究植物与微生物的相互作用方面越来越引起人们的兴趣。然而,目前通常考虑的性状(如形态、生理或化学性状)偏向于那些表现出较大种内变异的性状,因此需要识别出较少的不同物种的可塑性性状。在这里,我们建议使用基因组大小(细胞核中DNA的数量)作为研究植物-微生物组相互作用的合适特征,因为它的性质相对稳定,受外部环境变化的影响最小。新出现的证据表明,植物基因组大小会影响与植物相关的微生物群落,组织特异性环境会根据基因组大小选择微生物。这些发现将基因组大小的环境选择确定为植物-微生物组相互作用的新兴驱动因素,可能影响生态系统功能和生产力。
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来源期刊
Trends in Microbiology
Trends in Microbiology 生物-生化与分子生物学
CiteScore
25.30
自引率
0.60%
发文量
193
审稿时长
6-12 weeks
期刊介绍: Trends in Microbiology serves as a comprehensive, multidisciplinary forum for discussing various aspects of microbiology, spanning cell biology, immunology, genetics, evolution, virology, bacteriology, protozoology, and mycology. In the rapidly evolving field of microbiology, technological advancements, especially in genome sequencing, impact prokaryote biology from pathogens to extremophiles, influencing developments in drugs, vaccines, and industrial enzyme research.
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