Elucidating the Competition between Heterotrophic Denitrification and DNRA Using the Resource-Ratio Theory

反硝化 竞赛(生物学) 硝酸盐 生态系统 异养 环境化学 环境科学 化学 生态学 氮气 生物 细菌 遗传学 有机化学
作者
Mingsheng Jia,Mari K.H. Winkler,Eveline I.P. Volcke
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:54 (21): 13953-13962 被引量:95
标识
DOI:10.1021/acs.est.0c01776
摘要

Heterotrophic denitrification and dissimilatory nitrate reduction to ammonium (DNRA) are two microbial processes competing for two shared resources, namely, nitrate and organic carbon (COD). Their competition has great implications for nitrogen loss, conservation, and greenhouse gas emissions. Nevertheless, a comprehensive and mechanistic understanding of the governing factors for this competition is still lacking. We applied the resource-ratio theory to study this competition and validated the theory with experimental data from continuous cultures reported in the literature. Based on this theory, we revealed that influent COD/N ratio alone was not sufficient to predict the competition outcome as the boundary values for different competition outcomes changed substantially with influent resource concentrations. The stoichiometry of the two processes was determinative for the boundaries, whereas the affinity for the shared resources (KS), maximum specific growth rate (μmax) of the two species, and the dilution rate had significant impacts as well but mainly at low influent resource concentrations (e.g., <100 μM nitrate). The presented approach allows for a more comprehensive understanding of the parameters controlling microbial competition. The computational comparison between continuous and batch cultures could explain seemingly conflicting experimental results as to the impact of the COD/N ratio. The results also include testable hypotheses and tools for understanding and managing the fate of nitrate in ecosystems, which could also be applied more widely to other species competing for two shared resources.
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
传奇3应助难过的谷芹采纳,获得10
1秒前
叫啥好呢完成签到 ,获得积分10
1秒前
sherrydj完成签到,获得积分10
2秒前
4秒前
充电宝应助Dash采纳,获得10
4秒前
搜集达人应助ZzH采纳,获得10
5秒前
苹果乐派发布了新的文献求助10
5秒前
文静紫烟发布了新的文献求助10
5秒前
谢晓曼发布了新的文献求助10
6秒前
7秒前
8秒前
汉堡包应助六月飞雪采纳,获得10
8秒前
8秒前
9秒前
lyx030412发布了新的文献求助10
10秒前
借一颗糖发布了新的文献求助10
10秒前
wuyu完成签到 ,获得积分10
10秒前
fanfan发布了新的文献求助10
13秒前
搞怪的数据线完成签到,获得积分10
13秒前
Cunese完成签到,获得积分10
13秒前
zhangbcn发布了新的文献求助10
13秒前
羽扇纶巾完成签到,获得积分10
13秒前
敏感初露发布了新的文献求助10
14秒前
14秒前
wsb76发布了新的文献求助10
15秒前
顾矜应助小桃子采纳,获得10
15秒前
16秒前
小马甲应助snipper采纳,获得10
16秒前
小阿博完成签到,获得积分10
16秒前
16秒前
在水一方应助敏感初露采纳,获得10
18秒前
18秒前
科研通AI6.4应助文静紫烟采纳,获得10
18秒前
自由的雪一完成签到,获得积分10
20秒前
虎攀伟发布了新的文献求助10
20秒前
领导范儿应助辛勤的梦安采纳,获得10
21秒前
21秒前
小阿博发布了新的文献求助10
21秒前
苹果乐派完成签到,获得积分10
21秒前
昭荃完成签到 ,获得积分0
22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
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7675917
求助须知:如何正确求助?哪些是违规求助? 9242053
关于积分的说明 19915128
捐赠科研通 7246154
什么是DOI,文献DOI怎么找? 3286292
关于科研通互助平台的介绍 2444386
邀请新用户注册赠送积分活动 2289091