Vertical environmental gradient drives prokaryotic microbial community assembly and species coexistence in a stratified acid mine drainage lake

微生物种群生物学 极端环境 群落结构 酸性矿井排水 生态学 水柱 环境科学 生态系统 基因组 微生物生态学 地表水 β多样性 物种丰富度 生物 环境化学 细菌 化学 环境工程 生物化学 基因 遗传学
作者
Zhixiang She,Xin Pan,Jin Wang,Rui Shao,Guangcheng Wang,Shaoping Wang,Zhengbo Yue
出处
期刊:Water Research [Elsevier BV]
卷期号:206: 117739-117739 被引量:101
标识
DOI:10.1016/j.watres.2021.117739
摘要

Acid mine drainage (AMD) lakes are typical hydrologic features caused by open pit mining and represent extreme ecosystems and environmental challenges. Little is known about microbial distribution and community assembly in AMD lakes, especially in deep layers. Here, we investigated prokaryotic microbial diversity and community assembly along a depth profile in a stratified AMD lake using 16S rRNA gene sequencing combined with multivariate ecological and statistical methods. The water column in the AMD lake exhibited tight geochemical gradients, with more acidic surface water. Coupled with vertical hydrochemical variations, prokaryotic microbial community structure changed significantly, and was accompanied by increased diversity with depth. In the surface water, heterogeneous selection was the most important assembly process, whereas stochastic processes gained importance with depth. Meanwhile, microbial co-occurrences, especially positive interactions, were more frequent in the stressful surface water with reduced network modularity and keystone taxa. The pH was identified as the key driver of microbial diversity and community assembly along the vertical profile based on random forest analysis. Taken together, environmental effects dominated by acid stress drove the community assembly and species coexistence that underpinned the spatial scaling patterns of AMD microbiota in the lake. These findings demonstrate the distinct heterogeneity of local prokaryotic microbial community in AMD lake, and provide new insights into the mechanism to maintain microbial diversity in extreme acidic environments.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Annlucy发布了新的文献求助30
刚刚
刚刚
小安发布了新的文献求助10
刚刚
坚强钻石完成签到 ,获得积分10
1秒前
2秒前
2秒前
power发布了新的文献求助10
2秒前
上官若男应助文献小当家采纳,获得10
2秒前
2秒前
yzm788695发布了新的文献求助10
3秒前
诚心山芙发布了新的文献求助10
3秒前
NexusExplorer应助从容的梦琪采纳,获得10
3秒前
4秒前
海棠发布了新的文献求助10
4秒前
夏令时完成签到 ,获得积分10
4秒前
苹果行天发布了新的文献求助10
5秒前
5秒前
无极微光应助吉不二采纳,获得20
5秒前
阿可阿可完成签到,获得积分10
5秒前
丸子完成签到,获得积分10
5秒前
Orange应助chen7采纳,获得10
5秒前
6秒前
Owen应助ACCEPT采纳,获得10
6秒前
铃木卿发布了新的文献求助10
6秒前
胡某某发布了新的文献求助10
7秒前
王洋发布了新的文献求助10
7秒前
喜欢吃水果完成签到,获得积分10
8秒前
8秒前
默默雨南发布了新的文献求助10
8秒前
8秒前
腹肌的世界完成签到,获得积分20
9秒前
9秒前
9秒前
暗中讨饭发布了新的文献求助10
10秒前
Wtt发布了新的文献求助10
10秒前
kkkk发布了新的文献求助10
10秒前
MRD发布了新的文献求助10
10秒前
完美的水杯完成签到 ,获得积分10
10秒前
11秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6147474
求助须知:如何正确求助?哪些是违规求助? 7974349
关于积分的说明 16566562
捐赠科研通 5258160
什么是DOI,文献DOI怎么找? 2807685
邀请新用户注册赠送积分活动 1788021
关于科研通互助平台的介绍 1656677