Masocha Valerie F, Liu Hongmei, Zhan Pingshan, Wang Kaikai, Zeng Ao, Shen Sike, Schneider Harald
Centre for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Beijing, China.
University of Chinese Academy of Sciences, Beijing, China.
Front Plant Sci. 2022 Jul 7;13:891155. doi: 10.3389/fpls.2022.891155. eCollection 2022.
Bacteria communities associated with plants have been given increasing consideration because they are arguably beneficial to their host plants. To understand the ecological and evolutionary impact of these mutualistic associations, it is important to explore the vast unknown territory of bacterial genomic diversity and their functional contributions associated with the major branches of the tree-of-life. Arguably, this aim can be achieved by profiling bacterial communities by applying high throughput sequencing approaches, besides establishing model plant organisms to test key predictions. This study utilized the Illumina Miseq reads of bacterial 16S rRNA sequences to determine the bacterial diversity associated with the endosphere of the leaves of the highly specialized rock spleenwort (Aspleniaceae). By documenting the bacterial communities associated with ferns collected in natural occurrence and cultivation, this study discovered the most species-rich bacterial communities associated with terrestrial ferns reported until now. Despite the substantial variations of species diversity and composition among accessions, a set of 28 bacterial OTUs was found to be shared among all accessions. Functional analyses recovered evidence to support the predictions that changes in bacterial community compositions correspond to functional differentiation. Given the ease of cultivating this species, is introduced here as a model organism to explore the ecological and evolutionary benefits created by mutualistic associations between bacteria and ferns.
与植物相关的细菌群落受到了越来越多的关注,因为它们对宿主植物可能有益。为了理解这些共生关系的生态和进化影响,探索细菌基因组多样性的广阔未知领域及其与生命之树主要分支相关的功能贡献非常重要。可以说,除了建立模型植物生物体来测试关键预测外,通过应用高通量测序方法对细菌群落进行分析,这一目标也能够实现。本研究利用Illumina Miseq对细菌16S rRNA序列的读取来确定与高度特化的石韦(水龙骨科)叶片内圈相关的细菌多样性。通过记录与自然采集和栽培的蕨类植物相关的细菌群落,本研究发现了迄今为止报道的与陆生蕨类植物相关的物种最丰富的细菌群落。尽管不同样本间物种多样性和组成存在很大差异,但发现一组28个细菌OTU在所有样本中都有共享。功能分析获得了证据,支持细菌群落组成变化对应功能分化的预测。鉴于该物种易于培养,本文将其作为一种模型生物引入,以探索细菌与蕨类植物之间的共生关系所产生的生态和进化益处。