Bergmann Gillian E, Leveau Johan H J
Department of Plant Pathology, University of California-Davis, Davis, CA, United States.
Front Microbiol. 2022 Jul 22;13:877519. doi: 10.3389/fmicb.2022.877519. eCollection 2022.
Microorganisms have the potential to affect plant seed germination and seedling fitness, ultimately impacting plant health and community dynamics. Because seed-associated microbiota are highly variable across individual plants, plant species, and environments, it is challenging to identify the dominant processes that underlie the assembly, composition, and influence of these communities. We propose here that metacommunity ecology provides a conceptually useful framework for studying the microbiota of developing seeds, by the application of metacommunity principles of filtering, species interactions, and dispersal at multiple scales. Many studies in seed microbial ecology already describe individual assembly processes in a pattern-based manner, such as correlating seed microbiome composition with genotype or tracking diversity metrics across treatments in dispersal limitation experiments. But we see a lot of opportunities to examine understudied aspects of seed microbiology, including trait-based research on mechanisms of filtering and dispersal at the micro-scale, the use of pollination exclusion experiments in macro-scale seed studies, and an in-depth evaluation of how these processes interact priority effect experiments and joint species distribution modeling.
微生物有可能影响植物种子萌发和幼苗适应性,最终影响植物健康和群落动态。由于与种子相关的微生物群在个体植物、植物物种和环境之间高度可变,因此确定这些群落的组装、组成和影响背后的主导过程具有挑战性。我们在此提出,集合群落生态学通过在多个尺度上应用过滤、物种相互作用和扩散的集合群落原理,为研究发育种子的微生物群提供了一个概念上有用的框架。种子微生物生态学的许多研究已经以基于模式的方式描述了个体组装过程,例如将种子微生物组组成与基因型相关联,或在扩散限制实验中跟踪不同处理下的多样性指标。但我们看到有很多机会去研究种子微生物学中尚未充分研究的方面,包括基于特征的微观尺度过滤和扩散机制研究、在宏观尺度种子研究中使用授粉排除实验,以及深入评估这些过程如何相互作用(优先效应实验和联合物种分布建模)。