Evidence map›Paper›PMID 33552014›Full record

ArticleFrontiers in microbiology2020

Patterns of Relative and Quantitative Abundances of Marine Bacteria in Surface Waters of the Subtropical Northwest Pacific Ocean Estimated With High-Throughput Quantification Sequencing.

Jie Kong, Xin Liu, Lei Wang, Hao Huang, Danyun Ou, Jiayu Guo, Edward A Laws, Bangqin Huang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

8 authors.

Jie KongState Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China.
Xin LiuState Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China.
Lei WangThird Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Hao HuangThird Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Danyun OuThird Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Jiayu GuoState Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China.
Edward A LawsDepartment of Environmental Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, United States.
Bangqin HuangState Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria play a pivotal role in shaping ecosystems and contributing to elemental cycling and energy flow in the oceans. However, few studies have focused on bacteria at a trans-basin scale, and studies across the subtropical Northwest Pacific Ocean (NWPO), one of the largest biomes on Earth, have been especially lacking. Although the recently developed high-throughput quantitative sequencing methodology can simultaneously provide information on relative abundance, quantitative abundance, and taxonomic affiliations, it has not been thoroughly evaluated. We collected surface seawater samples for high-throughput, quantitative sequencing of 16S rRNA genes on a transect across the subtropical NWPO to elucidate the distribution of bacterial taxa, patterns of their community structure, and the factors that are potentially important regulators of that structure. We used the quantitative and relative abundances of bacterial taxa to test hypotheses related to their ecology. Total 16S rRNA gene copies ranged from 1.86 × 10

Indexed as

bacterial community structuredistribution patternsecology of marine bacteriaquantitative abundancerelative abundance

Identifiers

PMID33552014
PMCPMC7859494

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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.