Minerals play key roles in driving prokaryotic and fungal communities in the surface sediments of the Qinghai-Tibetan lakes. Issue 4 (4th March 2020)

• Record Type: Journal Article
• Authors: Yang, Jian; Jiang, Hongchen; Sun, Xiaoxi; Chen, Junsong; Xie, Zhanling; Dong, Hailiang
• Is Part Of: FEMS microbiology ecology. Volume 96:Issue 4(2020)
• Publication Date: 2020-03-04
• Subjects: microbial community composition -- minerals -- deterministic processes -- stochastic processes -- Qinghai-Tibetan lakes; Microbial ecology -- Periodicals; Microbiology -- Periodicals; 579.17
• DOI: 10.1093/femsec/fiaa035
• Languages: English
• ISSNs: 0168-6496

Abstract

ABSTRACT: There is limited knowledge of the relative influences of deterministic and stochastic processes on prokaryotic and fungal communities in lake sediments. In this study, we surveyed the prokaryotic and fungal community compositions and their influencing factors in 23 surface sediments from six lakes on the Qinghai-Tibetan Plateau (QTP) with the use of Illumina sequencing. The results showed the distribution of prokaryotic and fungal communities in the studied QTP lake sediments was shaped by different assembly processes, with prokaryotes primarily governed by variable selection and homogenizing dispersal (accounting for 57.9% and 37.3% of the observed variations) and fungi being mainly regulated by variable selection, non-dominant processes and homogenizing dispersal (38.3%, 43.7% and 13.7%, respectively). Regarding the variable selection, mineralogical variables played key roles in shaping prokaryotic and fungal community structures. Collectively, these findings expand current knowledge concerning the influences of deterministic (e.g. variable selection) and stochastic processes (e.g. homogenizing dispersal and non-dominant processes) on the prokaryotic and fungal distribution in the QTP lakes. Abstract : Prokaryotic and fungal community assemblies were predominately governed by deterministic (i.e. variable selection with minerals being key predictors) and stochastic processes (i.e. homogenizing dispersal, non-dominant processes), respectively.