Viruses Regulate Microbial Community Assembly Together with Environmental Factors in Acid Mine Drainage

被引:8
作者
Liu, Zhenghua [1 ,2 ]
Huang, Ye [4 ]
Zhang, Teng [1 ]
Meng, Delong [1 ]
Jiang, Zhen [4 ]
Yang, Zhendong [3 ]
Yang, Zhaoyue [1 ]
Li, Liangzhi [1 ]
Gu, Yabing [1 ]
Wang, Jianjun [2 ]
Liu, Xueduan [1 ]
Jiang, Chengying [4 ]
Yin, Huaqun [1 ]
机构
[1] Cent South Univ, Sch Minerals Proc & Bioengn, Key Lab Biomet, Minist Educ, Changsha, Peoples R China
[2] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing, Peoples R China
[3] Chengdu Univ, Sch Architecture & Civil Engn, Chengdu, Sichuan, Peoples R China
[4] Chinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
viruses; acid mine drainage; microbial community; diversity; community assembly; BACTERIA; SEQUENCE; QUALITY; TOOL;
D O I
10.1128/aem.01973-22
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Viruses as mobile genetic elements play critical roles in the adaptive evolution of their hosts in extreme environments. However, how viruses further influence microbial community structure and assembly is still unclear. Viruses are widespread in various ecosystems, and they play important roles in regulating the microbial community via host-virus interactions. Recently, metagenomic studies showed that there are extremely diverse viruses in different environments from the ocean to the human gut, but the influences of viral communities on microbial communities are poorly understood, especially in extreme environments. Here, we used metagenomics to characterize microbial communities and viral communities in acid mine drainage (AMD) and evaluated how viruses shape microbial community constrained by the harsh environments. Our results showed that AMD viral communities are significantly associated with the microbial communities, and viral diversity has positive correlations with microbial diversity. Viral community explained more variations of microbial community composition than environmental factors in AMD of a polymetallic mine. Moreover, we found that viruses harboring adaptive genes regulate a relative abundance of hosts under the modulation of environmental factors, such as pH. We also observed that viral diversity has significant correlations with the global properties of microbial cooccurrence networks, such as modularity. In addition, the results of null modeling analyses revealed that viruses significantly affect microbial community phylogeny and play important roles in regulating ecological processes of community assembly, such as dispersal limitation and homogenous dispersal. Together, these results revealed that AMD viruses are critical forces driving microbial network and community assembly via host-virus interactions.IMPORTANCE Viruses as mobile genetic elements play critical roles in the adaptive evolution of their hosts in extreme environments. However, how viruses further influence microbial community structure and assembly is still unclear. A recent metagenomic study observed diverse viruses unexplored in acid mine drainage, revealing the associations between the viral community and environmental factors. Here, we showed that viruses together with environmental factors can constrain the relative abundance of host and microbial community assembly in AMD of copper mines and polymetallic mines. Our results highlight the importance of viruses in shaping the microbial community from the individual host level to the community level.
引用
收藏
页数:16
相关论文
共 69 条
  • [1] Alignment-free d2* oligonucleotide frequency dissimilarity measure improves prediction of hosts from metagenomically-derived viral sequences
    Ahlgren, Nathan A.
    Ren, Jie
    Lu, Yang Young
    Fuhrman, Jed A.
    Sun, Fengzhu
    [J]. NUCLEIC ACIDS RESEARCH, 2017, 45 (01) : 39 - 53
  • [2] ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1006/jmbi.1990.9999
  • [3] A virulence-associated filamentous bacteriophage of Neisseria meningitidis increases host-cell colonisation
    Bille, Emmanuelle
    Meyer, Julie
    Jamet, Anne
    Euphrasie, Daniel
    Barnier, Jean-Philippe
    Brissac, Terry
    Larsen, Anna
    Pelissier, Philippe
    Nassif, Xavier
    [J]. PLOS PATHOGENS, 2017, 13 (07)
  • [4] CRISPRDetect: A flexible algorithm to define CRISPR arrays
    Biswas, Ambarish
    Staals, Raymond H. J.
    Morales, Sergio E.
    Fineran, Peter C.
    Brown, Chris M.
    [J]. BMC GENOMICS, 2016, 17
  • [5] Adaptive modulation of antibiotic resistance through intragenomic coevolution
    Bottery, Michael J.
    Wood, A. Jamie
    Brockhurst, Michael A.
    [J]. NATURE ECOLOGY & EVOLUTION, 2017, 1 (09): : 1364 - 1369
  • [6] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32
  • [7] Bushnell B., 2014, BBTOOLS SOFTWARE PAC
  • [8] Chambers J.M., 1992, STAT MODELS S WADSWO
  • [9] GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database
    Chaumeil, Pierre-Alain
    Mussig, Aaron J.
    Hugenholtz, Philip
    Parks, Donovan H.
    [J]. BIOINFORMATICS, 2020, 36 (06) : 1925 - 1927
  • [10] Microbial communities, processes and functions in acid mine drainage ecosystems
    Chen, Lin-xing
    Huang, Li-nan
    Mendez-Garcia, Celia
    Kuang, Jia-liang
    Hua, Zheng-shuang
    Liu, Jun
    Shu, Wen-sheng
    [J]. CURRENT OPINION IN BIOTECHNOLOGY, 2016, 38 : 150 - 158