An integrative bioinformatics pipeline shows that honeybee-associated microbiomes are driven primarily by pollen composition  

作　　者：Douglas Chesters Xiuwei Liu Karen L.Bell Michael C.Orr Tingting Xie Qingsong Zhou Chaodong Zhu 

机构地区：[1]Key Laboratory ofZoological Systematics andEvolution,Institute ofZoology,Chinese Academy of Sciences,Bejing,China [2]International College,University of Chinese Academy of Sciences,Bejing,China [3]Institute of Agro-Products Processing,Yunnan Province Academy of Agricultural Science,Kunming,China [4]School of Biological Sciences,University of Western Australia,Crawley,WA,Australia [5]cSIRO Health&Biosecurity,Floreat,WA,Australia [6]College of Life Sciences,Anhui Normal University,Wuhu,Anhui Province,China [7]State Key Laboratory of Integrated Pest Management,Institute of Zoology,Chinese Academy of Sciences,Beijing,China [8]College of Biological Sciences,University of Chinese Academy of Sciences,Beijing,China

出　　处：《Insect Science》2023年第2期555-568,共14页昆虫科学（英文版）

基　　金：supported by a grant(No.31772495)from the National Science Foundation of China to DC;a grant(No.2018FY100400)from the National Science&Technology Fundamental Resources Investigation Program of China to CDZ;a grant(No.2020FSB0001)from CAS President's International Fellowship Initiative(PIFI)for visiting scientists to DC;supported mainly by the National Natural Science Fund for Distinguished Yong Scholars(No.31625024).

摘　　要：The microbiomes associated with bee nests influence colony health through various mechanisms,although it is not yet clear how honeybee congeners differ in microbiome assembly processes,in particular the degrees to which floral visitations and the environment contribute to different aspects of diversity.We used DNA metabarcoding to sequence bacterial 16S rRNA from honey and stored pollen from nests of 4 honeybee species(Apis cerana,A.dorsata,A.florea,and A.laboriosa)sampled throughout Yunnan,China,a global biodiversity hotspot.We developed a computational pipeline integrating multiple databases for quantifying key facets of diversity,including compositional,taxonomic,phylogenetic,and functional ones.Further,we assessed candidate drivers of observed microbiome dissimilarity,particularly differences in floral visitations,habitat disturbance,and other key environmental variables.Analyses revealed that microbiome alpha diversity was broadly equivalent across the study sites and between bee species,apart from functional diversity which was very low in nests of the reclusive A.laboriosa.Turnover in microbiome composition across Yunnan was driven predominantly by pollen composition.Human disturbance negatively impacted both compositional and phylogenetic alpha diversity of nest microbiomes,but did not correlate with microbial turnover.We herein make progress in understanding microbiome diversity associated with key pollinators in a biodiversity hotspot,and provide a model for the use of a comprehensive informatics framework in assessing pattern and drivers of diversity,which enables the inclusion of explanatory variables both subtly and fundamentally different and enables elucidation of emergent or unexpected drivers.

关 键 词：APIS biodiversity hotspot HONEYBEE informatics metabarcoding MICROBIOME 

分 类 号：Q94[生物学—植物学]