Arid
DOI10.1128/mSystems.00540-20
Soil Bacterial Communities Exhibit Strong Biogeographic Patterns at Fine Taxonomic Resolution
Bay, Sean K.; McGeoch, Melodie A.; Gillor, Osnat; Wieler, Nimrod; Palmer, David J.; Baker, David J.; Chown, Steven L.; Greening, Chris
通讯作者Bay, SK ; Greening, C
来源期刊MSYSTEMS
ISSN2379-5077
出版年2020
卷号5期号:4
英文摘要Bacteria have been inferred to exhibit relatively weak biogeographic patterns. To what extent such findings reflect true biological phenomena or methodological artifacts remains unclear. Here, we addressed this question by analyzing the turnover of soil bacterial communities from three data sets. We applied three methodological innovations: (i) design of a hierarchical sampling scheme to disentangle environmental from spatial factors driving turnover; (ii) resolution of 16S rRNA gene amplicon sequence variants to enable higher-resolution community profiling; and (iii) application of the new metric zeta diversity to analyze multisite turnover and drivers. At fine taxonomic resolution, rapid compositional turnover was observed across multiple spatial scales. Turnover was overwhelmingly driven by deterministic processes and influenced by the rare biosphere. The communities also exhibited strong distance decay patterns and taxon-area relationships, with z values within the interquartile range reported for macroorganisms. These biogeographical patterns were weakened upon applying two standard approaches to process community sequencing data: clustering sequences at 97% identity threshold and/or filtering the rare biosphere (sequences lower than 0.05% relative abundance). Comparable findings were made across local, regional, and global data sets and when using shotgun metagenomic markers. Altogether, these findings suggest that bacteria exhibit strong biogeographic patterns, but these signals can be obscured by methodological limitations. We advocate various innovations, including using zeta diversity, to advance the study of microbial biogeography. IMPORTANCE It is commonly thought that bacterial distributions show lower spatial variation than for multicellular organisms. In this article, we present evidence that these inferences are artifacts caused by methodological limitations. Through leveraging innovations in sampling design, sequence processing, and diversity analysis, we provide multifaceted evidence that bacterial communities in fact exhibit strong distribution patterns. This is driven by selection due to factors such as local soil characteristics. Altogether, these findings suggest that the processes underpinning diversity patterns are more unified across all domains of life than previously thought, which has broad implications for the understanding and management of soil biodiversity.
英文关键词biogeography desert soil bacteria turnover zeta diversity
类型Article
语种英语
开放获取类型Other Gold, Green Published
收录类别SCI-E
WOS记录号WOS:000572105700042
WOS关键词TAXA-AREA RELATIONSHIPS ; BETA-DIVERSITY ; DISTANCE-DECAY ; SPATIAL AUTOCORRELATION ; DETERMINISTIC PROCESSES ; SPECIES-DIVERSITY ; ZETA DIVERSITY ; DRIVERS ; FUNGAL ; ASSEMBLAGES
WOS类目Microbiology
WOS研究方向Microbiology
来源机构Ben-Gurion University of the Negev
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/326464
作者单位[Bay, Sean K.; McGeoch, Melodie A.; Palmer, David J.; Baker, David J.; Chown, Steven L.; Greening, Chris] Monash Univ, Sch Biol Sci, Clayton, Vic, Australia; [Bay, Sean K.; Greening, Chris] Biomed Discovery Inst, Dept Microbiol, Clayton, Vic, Australia; [Gillor, Osnat; Wieler, Nimrod] Ben Gurion Univ Negev, Zuckerberg Inst Water Res, Blaustein Inst Desert Res, Sede Boqer, Israel
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Bay, Sean K.,McGeoch, Melodie A.,Gillor, Osnat,et al. Soil Bacterial Communities Exhibit Strong Biogeographic Patterns at Fine Taxonomic Resolution[J]. Ben-Gurion University of the Negev,2020,5(4).
APA Bay, Sean K..,McGeoch, Melodie A..,Gillor, Osnat.,Wieler, Nimrod.,Palmer, David J..,...&Greening, Chris.(2020).Soil Bacterial Communities Exhibit Strong Biogeographic Patterns at Fine Taxonomic Resolution.MSYSTEMS,5(4).
MLA Bay, Sean K.,et al."Soil Bacterial Communities Exhibit Strong Biogeographic Patterns at Fine Taxonomic Resolution".MSYSTEMS 5.4(2020).
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