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Title: Adaptive Evolution of Sphingobium hydrophobicum C1T in Electronic Waste Contaminated River Sediment

Abstract

Electronic waste (e-waste) has caused a severe worldwide pollution problem. Despite increasing isolation of degradative microorganisms from e-waste contaminated environments, the mechanisms underlying their adaptive evolution in such habitats remain unclear. Sphingomonads generally have xenobiotic-degrading ability and may play important roles in bioremediation. Sphingobium hydrophobicum C1T, characterized with superior cell surface hydrophobicity, was recently isolated from e-waste contaminated river sediment. To dissect the mechanisms driving its adaptive evolution, we evaluated its stress resistance, sequenced its genome and performed comparative genomic analysis with 19 other Sphingobium strains. Strain C1T can feed on several kinds of e-waste-derived xenobiotics, exhibits a great resistance to heavy metals and possesses a high colonization ability. It harbors abundant genes involved in environmental adaptation, some of which are intrinsic prior to experiencing e-waste contamination. The extensive genomic variations between strain C1T and other Sphingobium strains, numerous C1T-unique genes, massive mobile elements and frequent genome rearrangements reflect a high genome plasticity. Positive selection, gene duplication, and especially horizontal gene transfer drive the adaptive evolution of strain C1T. Moreover, presence of type IV secretion systems may allow strain C1T to be a source of beneficial genes for surrounding microorganisms. This study provides new insights into the adaptive evolution ofmore » sphingomonads, and potentially guides bioremediation strategies.« less

Authors:
 [1];  [2];  [2];  [3];  [4];  [4];  [4];  [4];  [2];  [2];  [4]
+ Show Author Affiliations
  1. South China Univ. of Technology (SCUT), Guangzhou (China); Guangdong Academy of Sciences, Guangzhou (China). State Key Lab. of Applied Microbiology Southern China, Guangdong Provincial Key Lab. of Microbial Culture Collection and Application, Guangdong Inst. of Microbiology
  2. Guangdong Academy of Sciences, Guangzhou (China). State Key Lab. of Applied Microbiology Southern China, Guangdong Provincial Key Lab. of Microbial Culture Collection and Application, Guangdong Inst. of Microbiology
  3. Univ. of California, Riverside, CA (United States)
  4. Univ. of Oklahoma, Norman, OK (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1580867
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Frontiers in Microbiology
Additional Journal Information:
Journal Volume: 10; Journal ID: ISSN 1664-302X
Publisher:
Frontiers Research Foundation
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; Sphingobium; electronic waste (e-waste); xenobiotic degradation; heavy metal resistance; comparative genomics; genome plasticity; adaptive evolution

Citation Formats

Song, Da, Chen, Xingjuan, Xu, Meiying, Hai, Rong, Zhou, Aifen, Tian, Renmao, Van Nostrand, Joy D., Kempher, Megan L., Guo, Jun, Sun, Guoping, and Zhou, Jizhong. Adaptive Evolution of Sphingobium hydrophobicum C1T in Electronic Waste Contaminated River Sediment. United States: N. p., 2019. Web. doi:10.3389/fmicb.2019.02263.
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Song, Da, Chen, Xingjuan, Xu, Meiying, Hai, Rong, Zhou, Aifen, Tian, Renmao, Van Nostrand, Joy D., Kempher, Megan L., Guo, Jun, Sun, Guoping, & Zhou, Jizhong. Adaptive Evolution of Sphingobium hydrophobicum C1T in Electronic Waste Contaminated River Sediment. United States. https://doi.org/10.3389/fmicb.2019.02263
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Song, Da, Chen, Xingjuan, Xu, Meiying, Hai, Rong, Zhou, Aifen, Tian, Renmao, Van Nostrand, Joy D., Kempher, Megan L., Guo, Jun, Sun, Guoping, and Zhou, Jizhong. Wed . "Adaptive Evolution of Sphingobium hydrophobicum C1T in Electronic Waste Contaminated River Sediment". United States. https://doi.org/10.3389/fmicb.2019.02263. https://www.osti.gov/servlets/purl/1580867.
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@article{osti_1580867,
title = {Adaptive Evolution of Sphingobium hydrophobicum C1T in Electronic Waste Contaminated River Sediment},
author = {Song, Da and Chen, Xingjuan and Xu, Meiying and Hai, Rong and Zhou, Aifen and Tian, Renmao and Van Nostrand, Joy D. and Kempher, Megan L. and Guo, Jun and Sun, Guoping and Zhou, Jizhong},
abstractNote = {Electronic waste (e-waste) has caused a severe worldwide pollution problem. Despite increasing isolation of degradative microorganisms from e-waste contaminated environments, the mechanisms underlying their adaptive evolution in such habitats remain unclear. Sphingomonads generally have xenobiotic-degrading ability and may play important roles in bioremediation. Sphingobium hydrophobicum C1T, characterized with superior cell surface hydrophobicity, was recently isolated from e-waste contaminated river sediment. To dissect the mechanisms driving its adaptive evolution, we evaluated its stress resistance, sequenced its genome and performed comparative genomic analysis with 19 other Sphingobium strains. Strain C1T can feed on several kinds of e-waste-derived xenobiotics, exhibits a great resistance to heavy metals and possesses a high colonization ability. It harbors abundant genes involved in environmental adaptation, some of which are intrinsic prior to experiencing e-waste contamination. The extensive genomic variations between strain C1T and other Sphingobium strains, numerous C1T-unique genes, massive mobile elements and frequent genome rearrangements reflect a high genome plasticity. Positive selection, gene duplication, and especially horizontal gene transfer drive the adaptive evolution of strain C1T. Moreover, presence of type IV secretion systems may allow strain C1T to be a source of beneficial genes for surrounding microorganisms. This study provides new insights into the adaptive evolution of sphingomonads, and potentially guides bioremediation strategies.},
doi = {10.3389/fmicb.2019.02263},
journal = {Frontiers in Microbiology},
number = ,
volume = 10,
place = {United States},
year = {2019},
month = {10}
}
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