Evidence map›Paper›PMID 27048805›Full record

ArticlemBio2016

Lateral Gene Transfer in a Heavy Metal-Contaminated-Groundwater Microbial Community.

Christopher L Hemme, Stefan J Green, Lavanya Rishishwar, Om Prakash, Angelica Pettenato, Romy Chakraborty, Adam M Deutschbauer, Joy D Van Nostrand, Liyou Wu, Zhili He and 5 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
8.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 107 citations in OpenAlex.

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  13. Effect of cadmium stress on the bacterial community in the rhizosphere of mulberry (Morus alba L.).Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 4 countries.

Christopher L HemmeInstitute for Environmental Genomics, Department of Microbiology and Plant Sciences, University of Oklahoma, Norman, Oklahoma, USA Ostrow School of Dentistry, University of Southern California, Los Angeles, California, USA.
Stefan J GreenDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA DNA Services Facility, University of Illinois at Chicago, Chicago, Illinois, USA.
Lavanya RishishwarSchool of Biology and Earth & Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Om PrakashNational Centre for Cell Science, Ganeshkhind, Pune, Maharashtra, India.
Angelica PettenatoEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Romy ChakrabortyEarth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Adam M DeutschbauerPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Joy D Van NostrandInstitute for Environmental Genomics, Department of Microbiology and Plant Sciences, University of Oklahoma, Norman, Oklahoma, USA.
Liyou WuInstitute for Environmental Genomics, Department of Microbiology and Plant Sciences, University of Oklahoma, Norman, Oklahoma, USA.
Zhili HeInstitute for Environmental Genomics, Department of Microbiology and Plant Sciences, University of Oklahoma, Norman, Oklahoma, USA.
I King JordanSchool of Biology and Earth & Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA PanAmerican Bioinformatics Institute, Santa Marta, Magdalena, Colombia.
Terry C HazenDepartment of Civil & Environmental Engineering, University of Tennessee, Knoxville, Tennessee, USA Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, Tennessee, USA Department of Microbiology, University of Tennessee, Knoxville, Tennessee, USA Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID http://orcid.org/0000-0002-2536-9993
Adam P ArkinDepartment of Bioengineering, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Joel E KostkaSchool of Biology and Earth & Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Jizhong ZhouInstitute for Environmental Genomics, Department of Microbiology and Plant Sciences, University of Oklahoma, Norman, Oklahoma, USA Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China jzhou@ou.edu.
Lawrence Berkeley National Laboratory · USGeorgia Institute of Technology · USUniversity of Oklahoma · USNational Centre for Cell Science · INOak Ridge National Laboratory · USUniversity of Illinois Chicago · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledUnraveling the drivers controlling the response and adaptation of biological communities to environmental change, especially anthropogenic activities, is a central but poorly understood issue in ecology and evolution. Comparative genomics studies suggest that lateral gene transfer (LGT) is a major force driving microbial genome evolution, but its role in the evolution of microbial communities remains elusive. To delineate the importance of LGT in mediating the response of a groundwater microbial community to heavy metal contamination, representative Rhodanobacter reference genomes were sequenced and compared to shotgun metagenome sequences. 16S rRNA gene-based amplicon sequence analysis indicated that Rhodanobacter populations were highly abundant in contaminated wells with low pHs and high levels of nitrate and heavy metals but remained rare in the uncontaminated wells. Sequence comparisons revealed that multiple geochemically important genes, including genes encoding Fe(2+)/Pb(2+) permeases, most denitrification enzymes, and cytochrome c553, were native to Rhodanobacter and not subjected to LGT. In contrast, the Rhodanobacter pangenome contained a recombinational hot spot in which numerous metal resistance genes were subjected to LGT and/or duplication. In particular, Co(2+)/Zn(2+)/Cd(2+) efflux and mercuric resistance operon genes appeared to be highly mobile within Rhodanobacter populations. Evidence of multiple duplications of a mercuric resistance operon common to most Rhodanobacter strains was also observed. Collectively, our analyses indicated the importance of LGT during the evolution of groundwater microbial communities in response to heavy metal contamination, and a conceptual model was developed to display such adaptive evolutionary processes for explaining the extreme dominance of Rhodanobacter populations in the contaminated groundwater microbiome. IMPORTANCE: Lateral gene transfer (LGT), along with positive selection and gene duplication, are the three main mechanisms that drive adaptive evolution of microbial genomes and communities, but their relative importance is unclear. Some recent studies suggested that LGT is a major adaptive mechanism for microbial populations in response to changing environments, and hence, it could also be critical in shaping microbial community structure. However, direct evidence of LGT and its rates in extant natural microbial communities in response to changing environments is still lacking. Our results presented in this study provide explicit evidence that LGT played a crucial role in driving the evolution of a groundwater microbial community in response to extreme heavy metal contamination. It appears that acquisition of genes critical for survival, growth, and reproduction via LGT is the most rapid and effective way to enable microorganisms and associated microbial communities to quickly adapt to abrupt harsh environmental stresses.

Indexed as

Gene Transfer, HorizontalGammaproteobacteriaGroundwaterMetals, HeavyMicrobiotaWater Pollutants, ChemicalMetals, HeavyWater Pollutants, Chemical

Identifiers

PMID27048805
PMCPMC4817265
OpenAlexW2322835995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.