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作 者:Bingdi Liu Lin Zhang Jason H.Knouft Fangqiong Ling
机构地区:[1]Department of Energy,Environmental and Chemical Engineering,Washington University in St.Louis,St.Louis,MO 63130,USA [2]Department of Biology,Saint Louis University,St.Louis,MO 63103,USA [3]National Great Rivers Research and Education Center,East Alton,MO 62035,USA [4]Department of Computer Science and Engineering,Washington University in St.Louis,St.Louis,MO 63130,USA [5]Division of Biological and Biomedical Sciences,Washington University in St.Louis,St.Louis,MO 63110,USA [6]Division of Computational and Data Science,Washington University in St.Louis,St.Louis,MO 63130,USA
出 处:《Frontiers of Environmental Science & Engineering》2022年第5期115-125,共11页环境科学与工程前沿(英文)
摘 要:Microbial communities inhabiting river ecosystems play crucial roles in global biogeochemical cycling and pollution attenuation.Spatial variations in local microbial assemblages are important for detailed understanding of community assembly and developing robust biodiversity sampling strategies.Here,we intensely analyzed twenty water samples collected from a one-meter spaced transect from the near-shore to the near-center in the Meramec River in eastern Missouri,USA and examined the microbial community composition with 16S rRNA gene amplicon sequencing.Riverine microbiomes across the transect exhibited extremely high similarity,with Pearson’s correlation coefficients above 0.9 for all pairwise community composition comparisons.However,despite the high similarity,PERMANOVA revealed significant spatial differences between near-shore and nearcenter communities(p=0.001).Sloan’s neutral model simulations revealed that within-transect community composition variation was largely explained by demographic stochasticity(R^(2)=0.89).Despite being primarily explained by neutral processes,LefSe analyses also revealed taxa from ten families of which relative abundances differed directionally from the bank to the river center,indicating an additional role of environmental filtering.Notably,the local variations within a river transect can have profound impacts on the documentation of alpha diversity.Taxon-accumulation curves indicated that even twenty samples did not fully saturate the sampling effort at the genus level,yet four,six and seven samples were able to capture 80%of the phylum-level,family-level,and genus-level diversity,respectively.This study for the first time reveals hyperlocal variations in riverine microbiomes and their assembly mechanisms,demanding attention to more robust sampling strategies for documenting microbial diversity in riverine systems.
关 键 词:MICROBIOME FRESHWATER Taxon accumulation curve Community assembly
分 类 号:X17[环境科学与工程—环境科学]
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