2016
DOI: 10.3389/fmicb.2016.01254
|View full text |Cite
|
Sign up to set email alerts
|

Species Divergence vs. Functional Convergence Characterizes Crude Oil Microbial Community Assembly

Abstract: Oil reservoirs exhibit extreme environmental conditions such as high salinity and high temperature. Insights into microbial community assemblages in oil reservoirs and their functional potentials are important for understanding biogeochemical cycles in the subterranean biosphere. In this study, we performed shotgun metagenomic sequencing of crude oil samples from two geographically distant oil reservoirs in China, and compared them with all the 948 available environmental metagenomes deposited in IMG database … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
4
3
2
1

Relationship

0
10

Authors

Journals

citations
Cited by 31 publications
(21 citation statements)
references
References 58 publications
0
21
0
Order By: Relevance
“…Fifteen months post rain, the community comprises an entirely new set of organisms but its functional potential recovered to a pre-rain state, suggesting that the community taxonomic structure entered an alternative equilibrium state during the recovery period [4, 11]. The functional consistency of a community, disconnected from taxonomic variance, has previously been documented in a variety of microbiomes and stems from functional redundancy of closely related taxa [6, 7, 52, 53]. In particular, isolated microbiomes such as miniature aquatic ecosystems found in bromeliad rosettes (similarly isolated as the halite nodules) appear to converge on identical functional landscapes through mechanisms such as stoichiometric balancing between metabolic pathways, despite great inter-community taxonomic diversity [54, 55].…”
Section: Discussionmentioning
confidence: 99%
“…Fifteen months post rain, the community comprises an entirely new set of organisms but its functional potential recovered to a pre-rain state, suggesting that the community taxonomic structure entered an alternative equilibrium state during the recovery period [4, 11]. The functional consistency of a community, disconnected from taxonomic variance, has previously been documented in a variety of microbiomes and stems from functional redundancy of closely related taxa [6, 7, 52, 53]. In particular, isolated microbiomes such as miniature aquatic ecosystems found in bromeliad rosettes (similarly isolated as the halite nodules) appear to converge on identical functional landscapes through mechanisms such as stoichiometric balancing between metabolic pathways, despite great inter-community taxonomic diversity [54, 55].…”
Section: Discussionmentioning
confidence: 99%
“…Metagenomes representing diverse environments such as petroleum reservoirs (36)(37)(38)(39), oil spill experimental microcosms (40,41), marine systems (42)(43)(44)(45), host-associated microbiomes (46)(47)(48) and other environments (49,50), were downloaded either as unassembled raw data from the NCBI SRA or as predicted gene sequences from the JGI Genome Portal (Supplementary Table ST4). Raw reads from unassembled metagenomes were filtered using BBDuk (sourceforge.net/projects/bbmap/) for a minimum quality of 15 and a minimum read length of 150bp.…”
Section: Analysis Of Diverse Metagenomes Using Cant-hydmentioning
confidence: 99%
“…Seventeen datasets derived from publicly available shotgun metagenomes associated to oil fields were downloaded and used in this study. These data correspond to 17 samples distributed in six studies [1][2][3]6,11,12]. Metagenome data from oil reservoirs with different recovery management and temperatures located in different regions were included in order to investigate the influence of geographic location, temperature and anthropogenic interventions on functional and taxonomic profiles of the indigenous microbial communities through the recovery of petroleum-associated Metagenome Assembled Genomes (MAGs).…”
Section: Data Acquisitionmentioning
confidence: 99%