Evidence map›Paper›PMID 37073226›Full record

ArticleMarine life science & technology2022

Metabolic tuning of a stable microbial community in the surface oligotrophic Indian Ocean revealed by integrated meta-omics.

Zhang-Xian Xie, Ke-Qiang Yan, Ling-Fen Kong, Ying-Bao Gai, Tao Jin, Yan-Bin He, Ya-Yu Wang, Feng Chen, Lin Lin, Zhi-Long Lin and 4 more

Abstract read
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Article in Marine life science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Zhang-Xian Xie *State Key Laboratory of Marine Environmental Science/College of the Environment and Ecology, Xiamen University, Xiamen, 361005 China.
Ke-Qiang Yan *BGI-Shenzhen, Beishan Industrial Zone 11th Building, Shenzhen, 518083 China.
Ling-Fen KongState Key Laboratory of Marine Environmental Science/College of the Environment and Ecology, Xiamen University, Xiamen, 361005 China.
Ying-Bao GaiKey Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources of China, Xiamen, 361005 China.
Tao JinBGI-Shenzhen, Beishan Industrial Zone 11th Building, Shenzhen, 518083 China.
Yan-Bin HeBGI-Shenzhen, Beishan Industrial Zone 11th Building, Shenzhen, 518083 China.
Ya-Yu WangBGI-Shenzhen, Beishan Industrial Zone 11th Building, Shenzhen, 518083 China.
Feng ChenInstitute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, MD 21202 USA.
Lin LinState Key Laboratory of Marine Environmental Science/College of the Environment and Ecology, Xiamen University, Xiamen, 361005 China.
Zhi-Long LinBGI-Shenzhen, Beishan Industrial Zone 11th Building, Shenzhen, 518083 China.
Hong-Kai XuBGI-Shenzhen, Beishan Industrial Zone 11th Building, Shenzhen, 518083 China.
Zong-Ze ShaoKey Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources of China, Xiamen, 361005 China.
Si-Qi LiuBGI-Shenzhen, Beishan Industrial Zone 11th Building, Shenzhen, 518083 China.
Da-Zhi WangState Key Laboratory of Marine Environmental Science/College of the Environment and Ecology, Xiamen University, Xiamen, 361005 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanisms, structuring microbial communities in oligotrophic ocean surface waters remains a major ecological endeavor. Functional redundancy and metabolic tuning are two mechanisms that have been proposed to shape microbial response to environmental forcing. However, little is known about their roles in the oligotrophic surface ocean due to less integrative characterization of community taxonomy and function. Here, we applied an integrated meta-omics-based approach, from genes to proteins, to investigate the microbial community of the oligotrophic northern Indian Ocean. Insignificant spatial variabilities of both genomic and proteomic compositions indicated a stable microbial community that was dominated by Supplementary Information: The online version contains supplementary material available at 10.1007/s42995-021-00119-6.

Indexed as

Metabolic tuningMetagenomicsMetaproteomicsMicrobial communityOligotrophic ocean

Identifiers

PMID37073226
PMCPMC10077294

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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.