Constraint-based in silico modelling of the Fe(III)- reducing bacteria Geobacter sulfurreducens: insights into the subsurface microbial activity

硫化地杆菌 地杆菌 恒化器 化学 生物修复 有机质 环境化学 生化工程
作者
Radhakrishnan Mahadevan,Abraham Esteve‐Núñez,Daniel R. Bond,Maddalena V. Coppi,Derek R. Lovley
摘要

1. Abstract Here we describe the application of the constraint-based modeling approach, coupled in an iterative fashion with experimental studies, to further elucidate the physiology of Geobacter sulfurreducens, a well-studied representative of the Geobacteraceae, which play a critical role in organic matter oxidation coupled to Fe(III) reduction, bioremediation of groundwater contaminated with organics or metals, and electricity production from waste organic matter. The completed reconstructed metabolic network of G. sulfurreducens contained 588 genes (or 17% of a total of 3,467 ORFs), 522 biochemical reactions, and 541 unique metabolites. Examination of the reconstructed metabolic network revealed that G. sulfurreducens has multiple reactions for acetate utilization, the main electron-donor for these bacteria in the subsurface. Simulations fit well with experimental data obtained from chemostat studies, predicting different flux rates and growth yield under a number of growth rates. Evaluation of the rates of proton production and consumption in the extracellular and cytoplasmic compartments revealed the energy conservation with extracellular elelctron acceptors as Fe(III), was limited compared to intracellular acceptors as fumarate. These results demonstrate that iterative modeling coupled with experimentation can accelerate the understanding of the physiology of poorly studied but environmentally relevant organisms and may help optimize their practical applications.

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
科研通AI5应助tian采纳,获得10
刚刚
1秒前
浩二发布了新的文献求助10
1秒前
2秒前
3秒前
3秒前
月亮与六便士完成签到 ,获得积分10
4秒前
pluto应助踏实的绿柏采纳,获得20
5秒前
打打应助xueyixiaogou采纳,获得10
5秒前
11完成签到,获得积分10
6秒前
leena发布了新的文献求助10
8秒前
Giao发布了新的文献求助10
8秒前
英俊的铭应助思敏采纳,获得10
10秒前
10秒前
善良梦竹完成签到 ,获得积分10
11秒前
13秒前
单薄的飞松完成签到 ,获得积分10
13秒前
隐形曼青应助强健的冰旋采纳,获得10
15秒前
大模型应助清新的音响采纳,获得10
16秒前
ada发布了新的文献求助10
17秒前
NINISO关注了科研通微信公众号
17秒前
共享精神应助Rookie采纳,获得10
17秒前
22秒前
22秒前
Double_N完成签到,获得积分10
23秒前
23秒前
小王完成签到,获得积分20
24秒前
田様应助等待盼雁采纳,获得10
26秒前
SciGPT应助啊是是是采纳,获得10
26秒前
27秒前
leena完成签到,获得积分10
27秒前
28秒前
28秒前
28秒前
思敏发布了新的文献求助10
28秒前
cc123完成签到,获得积分10
30秒前
可爱航发布了新的文献求助20
32秒前
啊是是是完成签到,获得积分20
33秒前
慕青应助协和_子鱼采纳,获得10
34秒前
提拉敏苏发布了新的文献求助30
35秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Mixing the elements of mass customisation 300
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3778211
求助须知:如何正确求助?哪些是违规求助? 3323865
关于积分的说明 10216275
捐赠科研通 3039094
什么是DOI,文献DOI怎么找? 1667782
邀请新用户注册赠送积分活动 798383
科研通“疑难数据库(出版商)”最低求助积分说明 758366