Evidence map›Paper›PMID 35348850›Full record

ArticleApplied microbiology and biotechnology2022

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

Na Yang, Chen Tian, Yongxin Lv, Jialin Hou, Zhifeng Yang, Xiang Xiao, Yu Zhang

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Article in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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17citing papers in PubMed
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3 · Its place in the literature

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17 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Na YangSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Chen TianSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Yongxin LvSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Jialin HouSchool of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Zhifeng YangSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Xiang XiaoState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Yu ZhangSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, People's Republic of China. zhang.yusjtu@sjtu.edu.cn.

Funding

National Key Research and Development Program of China 2016YFC0300709National Key Research and Development Program of China 2018YFC0309800National Natural Science Foundation of China 41921006National Natural Science Foundation of China 42122043National Natural Science Foundation of China 91951117Oceanic Interdisciplinary Program of Shanghai Jiao Tong University SL2020MS022
6 · The paper itself

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.

Indexed as

ArchaeaBacteriaGenes, rRNAGeologic SedimentsHumansPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNA geneHypervariable regionsOceanic trench sedimentsPrimer designUnique microbial communities

Identifiers

PMID35348850

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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.