Literature DB >> 35348850

Novel primers for 16S rRNA gene-based archaeal and bacterial community analysis in oceanic trench sediments.

Na Yang1, Chen Tian1, Yongxin Lv1,2, Jialin Hou2, Zhifeng Yang1, Xiang Xiao3,2,4, Yu Zhang5,6.   

Abstract

High-throughput sequencing of the 16S ribosomal RNA (16S rRNA) gene has been successfully applied to explore the microbial structure and dynamics in various environments. The distinctive microbial communities in oceanic trench sediments are expected because of the extremely high pressure and V-shape topology that caused the isolation from the other marine sediments. However, they have only been primarily targeted using 'universal' primers that provide variable performances for different environments. It is necessary to design specific primers to improve the detection resolution of unique microbial groups in oceanic trenches. Here, we designed one pair of bacterial and two pairs of archaeal specific primers based on 16S rRNA gene full-length sequences that truly come from trench sediment and tested their performances in 30 oceanic trench sediment samples. An in silico analysis showed that the V3-V4 hypervariable region was the most informative and representative for oceanic trench microbial groups. Compared with the 'universal' primers, 46 bacterial families were only detected by newly designed primer B344F/B749R, and eight archaeal families were only detected by the newly designed primer A306F/A713R which covered the one or two orders of magnitude more ASVs (amplicon sequence variants) (1,470,216) in the tested total 30 samples. Moreover, A306F/A713R had the largest number of observed ASVs suggesting its better performance in discovering more archaeal species which were easily ignored in universal primer-based experiments for oceanic trench sediments. The novel primers designed in this research could be a better option to access the unique microbial communities in extreme oceanic trench sediments.Key points• Defining V3-V4 as the most adequate hypervariable region for archaea and bacteria from oceanic trench sediments.• Three sets of bacterial and archaeal primers appear validity and advantage in revealing the real trench microbial communities.• The novel primers provide a better option to specifically detect the unique microbial communities in extreme oceanic trench sediments.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  16S rRNA gene; Hypervariable regions; Oceanic trench sediments; Primer design; Unique microbial communities

Mesh:

Substances:

Year:  2022        PMID: 35348850     DOI: 10.1007/s00253-022-11893-3

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  50 in total

1.  Ubiquity and diversity of ammonia-oxidizing archaea in water columns and sediments of the ocean.

Authors:  Christopher A Francis; Kathryn J Roberts; J Michael Beman; Alyson E Santoro; Brian B Oakley
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-26       Impact factor: 11.205

2.  Archaea in coastal marine environments.

Authors:  E F DeLong
Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-15       Impact factor: 11.205

3.  In situ meta-omic insights into the community compositions and ecological roles of hadal microbes in the Mariana Trench.

Authors:  Zhao-Ming Gao; Jiao-Mei Huang; Guo-Jie Cui; Wen-Li Li; Jun Li; Zhan-Fei Wei; Jun Chen; Yong-Zhi Xin; Du-Si Cai; Ai-Qun Zhang; Yong Wang
Journal:  Environ Microbiol       Date:  2019-08-11       Impact factor: 5.491

4.  Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Authors:  Evan Bolyen; Jai Ram Rideout; Matthew R Dillon; Nicholas A Bokulich; Christian C Abnet; Gabriel A Al-Ghalith; Harriet Alexander; Eric J Alm; Manimozhiyan Arumugam; Francesco Asnicar; Yang Bai; Jordan E Bisanz; Kyle Bittinger; Asker Brejnrod; Colin J Brislawn; C Titus Brown; Benjamin J Callahan; Andrés Mauricio Caraballo-Rodríguez; John Chase; Emily K Cope; Ricardo Da Silva; Christian Diener; Pieter C Dorrestein; Gavin M Douglas; Daniel M Durall; Claire Duvallet; Christian F Edwardson; Madeleine Ernst; Mehrbod Estaki; Jennifer Fouquier; Julia M Gauglitz; Sean M Gibbons; Deanna L Gibson; Antonio Gonzalez; Kestrel Gorlick; Jiarong Guo; Benjamin Hillmann; Susan Holmes; Hannes Holste; Curtis Huttenhower; Gavin A Huttley; Stefan Janssen; Alan K Jarmusch; Lingjing Jiang; Benjamin D Kaehler; Kyo Bin Kang; Christopher R Keefe; Paul Keim; Scott T Kelley; Dan Knights; Irina Koester; Tomasz Kosciolek; Jorden Kreps; Morgan G I Langille; Joslynn Lee; Ruth Ley; Yong-Xin Liu; Erikka Loftfield; Catherine Lozupone; Massoud Maher; Clarisse Marotz; Bryan D Martin; Daniel McDonald; Lauren J McIver; Alexey V Melnik; Jessica L Metcalf; Sydney C Morgan; Jamie T Morton; Ahmad Turan Naimey; Jose A Navas-Molina; Louis Felix Nothias; Stephanie B Orchanian; Talima Pearson; Samuel L Peoples; Daniel Petras; Mary Lai Preuss; Elmar Pruesse; Lasse Buur Rasmussen; Adam Rivers; Michael S Robeson; Patrick Rosenthal; Nicola Segata; Michael Shaffer; Arron Shiffer; Rashmi Sinha; Se Jin Song; John R Spear; Austin D Swafford; Luke R Thompson; Pedro J Torres; Pauline Trinh; Anupriya Tripathi; Peter J Turnbaugh; Sabah Ul-Hasan; Justin J J van der Hooft; Fernando Vargas; Yoshiki Vázquez-Baeza; Emily Vogtmann; Max von Hippel; William Walters; Yunhu Wan; Mingxun Wang; Jonathan Warren; Kyle C Weber; Charles H D Williamson; Amy D Willis; Zhenjiang Zech Xu; Jesse R Zaneveld; Yilong Zhang; Qiyun Zhu; Rob Knight; J Gregory Caporaso
Journal:  Nat Biotechnol       Date:  2019-08       Impact factor: 54.908

5.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

6.  Going deeper: metagenome of a hadopelagic microbial community.

Authors:  Emiley A Eloe; Douglas W Fadrosh; Mark Novotny; Lisa Zeigler Allen; Maria Kim; Mary-Jane Lombardo; Joyclyn Yee-Greenbaum; Shibu Yooseph; Eric E Allen; Roger Lasken; Shannon J Williamson; Douglas H Bartlett
Journal:  PLoS One       Date:  2011-05-24       Impact factor: 3.240

7.  Spatial variations of microbial communities in abyssal and hadal sediments across the Challenger Deep.

Authors:  Guojie Cui; Jun Li; Zhaoming Gao; Yong Wang
Journal:  PeerJ       Date:  2019-05-17       Impact factor: 2.984

Review 8.  Opportunities and challenges in long-read sequencing data analysis.

Authors:  Shanika L Amarasinghe; Shian Su; Xueyi Dong; Luke Zappia; Matthew E Ritchie; Quentin Gouil
Journal:  Genome Biol       Date:  2020-02-07       Impact factor: 13.583

9.  FunGene: the functional gene pipeline and repository.

Authors:  Jordan A Fish; Benli Chai; Qiong Wang; Yanni Sun; C Titus Brown; James M Tiedje; James R Cole
Journal:  Front Microbiol       Date:  2013-10-01       Impact factor: 5.640

10.  Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin.

Authors:  Nicholas A Bokulich; Benjamin D Kaehler; Jai Ram Rideout; Matthew Dillon; Evan Bolyen; Rob Knight; Gavin A Huttley; J Gregory Caporaso
Journal:  Microbiome       Date:  2018-05-17       Impact factor: 14.650

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