Simultaneous analysis of seven 16S rRNA hypervariable gene regions increases efficiency in marine bacterial diversity detection

被引:3
|
作者
Leontidou, Kleopatra [1 ]
Abad-Recio, Ion L. [2 ]
Rubel, Verena [1 ]
Filker, Sabine [3 ]
Daeumer, Martin [4 ]
Thielen, Alexander [4 ]
Lanzen, Anders [2 ,5 ]
Stoeck, Thorsten [1 ]
机构
[1] Rheinland Pfalz Tech Univ Kaiserslautern Landau, Ecol Grp, Kaiserslautern, Germany
[2] Basque Res & Technol Alliance, Marine Ecosyst Functioning, AZTI, Marine Res, Pasia, Gipuzkoa, Spain
[3] Rheinland Pfalz Tech Univ Kaiserslautern Landau, Mol Ecol Grp, Kaiserslautern, Germany
[4] SeqIT, Lab Mol Diagnost & Serv, Kaiserslautern, Germany
[5] Basque Fdn Sci, IKERBASQUE, Bilbao, Bizkaia, Spain
关键词
SEQUENCES; DEPTH; PCR;
D O I
10.1111/1462-2920.16530
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Environmental DNA sequencing is the gold standard to reveal microbial community structures. In most applications, a one-fragment PCR approach is applied to amplify a taxonomic marker gene, usually a hypervariable region of the 16S rRNA gene. We used a new reverse complement (RC)-PCR-based assay that amplifies seven out of the nine hypervariable regions of the 16S rRNA gene, to interrogate bacterial communities in sediment samples collected from different coastal marine sites with an impact gradient. In parallel, we employed a traditional one-fragment analysis of the hypervariable V3-V4 region to investigate whether the RC-PCR reveals more of the 'unseen' diversity obtained by the one-fragment approach. As a benchmark for the full deck of diversity, we subjected the samples to PCR-free metagenomic sequencing. None of the two PCR-based approaches recorded the full taxonomic repertoire obtained from the metagenomics datasets. However, the RC-PCR approach detected 2.8 times more bacterial genera compared to the near-saturation sequenced V3-V4 samples. RC-PCR is an ideal compromise between the standard one-fragment approach and metagenomics sequencing and may guide future environmental sequencing studies, in which bacterial diversity is a central subject.
引用
收藏
页码:3484 / 3501
页数:18
相关论文
共 50 条
  • [1] Influence of 16S rRNA Hypervariable Region on Estimates of Bacterial Diversity and Community Composition in Seawater and Marine Sediment
    Kerrigan, Zak
    Kirkpatrick, John B.
    D'Hondt, Steven
    FRONTIERS IN MICROBIOLOGY, 2019, 10
  • [2] Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis
    Yang, Bo
    Wang, Yong
    Qian, Pei-Yuan
    BMC BIOINFORMATICS, 2016, 17
  • [3] Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis
    Bo Yang
    Yong Wang
    Pei-Yuan Qian
    BMC Bioinformatics, 17
  • [4] Microbial Diversity Profiling of Gut Microbiota of Macropus giganteus Using Three Hypervariable Regions of the Bacterial 16S rRNA
    O'Dea, Christian
    Huerlimann, Roger
    Masters, Nicole
    Kuballa, Anna
    Veal, Cameron
    Fisher, Paul
    Stratton, Helen
    Katouli, Mohammad
    MICROORGANISMS, 2021, 9 (08)
  • [5] Incorporation of Data From Multiple Hypervariable Regions when Analyzing Bacterial 16S rRNA Gene Sequencing Data
    Jones, Carli B.
    White, James R.
    Ernst, Sarah E.
    Sfanos, Karen S.
    Peiffer, Lauren B.
    FRONTIERS IN GENETICS, 2022, 13
  • [6] 16S rRNA Gene Primer Validation for Bacterial Diversity Analysis of Vegetable Products
    Nakano, Miyo
    JOURNAL OF FOOD PROTECTION, 2018, 81 (05) : 848 - 859
  • [7] Evaluation of 16S rRNA Hypervariable Regions for Bioweapon Species Detection by Massively Parallel Sequencing
    Dias, Victor H. G.
    Gomes, Priscila da S. F. C.
    Azevedo-Martins, Allan C.
    Cabral, Bianca C. A.
    Woerner, August E.
    Budowle, Bruce
    Moura-Neto, Rodrigo S.
    Silva, Rosane
    INTERNATIONAL JOURNAL OF MICROBIOLOGY, 2020, 2020
  • [8] Analysis of the Cystic Fibrosis Lung Microbiota via Serial Illumina Sequencing of Bacterial 16S rRNA Hypervariable Regions
    Maughan, Heather
    Wang, Pauline W.
    Caballero, Julio Diaz
    Fung, Pauline
    Gong, Yunchen
    Donaldson, Sylva L.
    Yuan, Lijie
    Keshavjee, Shaf
    Zhang, Yu
    Yau, Yvonne C. W.
    Waters, Valerie J.
    Tullis, D. Elizabeth
    Hwang, David M.
    Guttman, David S.
    PLOS ONE, 2012, 7 (10):
  • [9] Bacterial diversity in sediments of river Mahananda (Siliguri) as determined by 16S rRNA gene analysis
    Mukherjee, Shriparna
    Kumar, Dhananjay
    Chakraborty, Ranadhir
    INDIAN JOURNAL OF BIOTECHNOLOGY, 2016, 15 (02): : 201 - 209
  • [10] Pyrosequencing of the 16S rRNA gene to reveal bacterial pathogen diversity in biosolids
    Bibby, Kyle
    Viau, Emily
    Peccia, Jordan
    WATER RESEARCH, 2010, 44 (14) : 4252 - 4260