the National Natural Science Foundation of China(41877029,41961130383);Royal SocietyNewton Advanced Fellowship(NAF\R1\191017);Wuhan Science and Technology Bureau(2019020701011469).  

作　　者：Shuzhen Li Xiongfeng Du Kai Feng Yueni Wu Qing He Zhujun Wang Yangying Liu Danrui Wang Xi Peng Zhaojing Zhang Arthur Escalas Yuanyuan Qu Ye Deng 

机构地区：[1]CAS Key Laboratory of Environmental Biotechnology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China [2]Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education),School of Environmental Science and Technology,Dalian University of Technology,Dalian,116024,China [3]College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China [4]Institute for Marine Science and Technology,Shandong University,Qingdao 266237,China [5]MARBEC,Universitéde Montpellier,CNRS,IRD,IFREMER,Montpellier Cedex 5,34090,France

出　　处：《Soil Ecology Letters》2022年第3期224-236,共13页土壤生态学快报（英文）

基　　金：the National Natural Science Foundation of China(NSFC Grant No.U1906223);the National Key Research and Development Program(Grant No.2019YFC1905001)。

摘　　要：Due to the tremendous diversity of microbial organisms in topsoil,the estimation of saturated richness in a belowground ecosystem is still challenging.Here,we intensively surveyed the 16S rRNA gene in four 1 m2 sampling quadrats in a typical grassland,with 141 biological or technical replicates generating over 11 million sequences per quadrat.Through these massive data sets and using both non-asymptotic extrapolation and non-parametric asymptotic approaches,results revealed that roughly 15919±193,27193±1076 and 56985±2347 prokaryotic species inhabited in 1 m2 topsoil,classifying by DADA2,UPARSE(97%cutoff)and Deblur,respectively,and suggested a huge difference among these clustering tools.Nearly 500000 sequences were required to catch 50%species in 1 m2,while any estimator based on 500000 sequences would still lose about a third of total richness.Insufficient sequencing depth will greatly underestimate both observed and estimated richness.At least~911000,~3461000,and~1878000 sequences were needed for DADA2,UPARSE,and Deblur,respectively,to catch 80%species in 1 m2 topsoil,and the numbers of sequences would be nearly twice to three times on this basis to cover 90%richness.In contrast,α-diversity indexes characterized by higher order of Hill numbers,including Shannon entropy and inverse Simpson index,reached saturation with fewer than 100000 sequences,suggesting sequencing depth could be varied greatly when focusing on exploring differentα-diversity characteristics of a microbial community.Our findings were fundamental for microbial studies that provided benchmarks for the extending surveys in large scales of terrestrial ecosystems.

关 键 词：Grassland TOPSOIL PROKARYOTE Richness α-diversity Hill number 

分 类 号：S1[农业科学—农业基础科学]