Evidence map›Paper›PMID 34637433›Full record

ArticlePloS one2021

Metagenomic analysis provides functional insights into seasonal change of a non-cyanobacterial prokaryotic community in temperate coastal waters.

Kaoru Matsumoto, Tomoko Sakami, Tsuyoshi Watanabe, Yukiko Taniuchi, Akira Kuwata, Shigeho Kakehi, Tan Engkong, Yoji Igarashi, Shigeharu Kinoshita, Shuichi Asakawa and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. How to study biofilms: technological advancements in clinical biofilm research.Frontiers in cellular and infection microbiology · 2023
    Review
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

16 authors at 6 institutions in 1 country.

Kaoru MatsumotoDepartment of Genomics and Evolutionary Biology, National Institute of Genetics, Mishima, Shizuoka, Japan.ORCID 0000-0001-9130-1914
Tomoko SakamiTohoku National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Shiogama, Miyagi, Japan.
Tsuyoshi WatanabeTohoku National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Shiogama, Miyagi, Japan.
Yukiko TaniuchiHokkaido National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Kushiro, Hokkaido, Japan.
Akira KuwataTohoku National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Shiogama, Miyagi, Japan.
Shigeho KakehiTohoku National Fisheries Research Institute, Japan Fisheries Research and Education Agency, Shiogama, Miyagi, Japan.
Tan EngkongDepartment of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, Japan.
Yoji IgarashiDepartment of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, Japan.
Shigeharu KinoshitaDepartment of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, Japan.
Shuichi AsakawaDepartment of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, Tokyo, Japan.
Masahira HattoriGraduate School of Advanced Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan.
Shugo WatabeSchool of Marine Biosciences, Kitasato University, Sagamihara, Kanagawa, Japan.
Yoshizumi IshinoDepartment of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, Fukuoka, Fukuoka, Japan.
Takanori KobayashiNational Research Institute of Fisheries Science, Japan Fisheries Research and Education Agency, Yokohama, Kanagawa, Japan.
Takashi GojoboriDepartment of Genomics and Evolutionary Biology, National Institute of Genetics, Mishima, Shizuoka, Japan.ORCID 0000-0001-7850-1743
Kazuho IkeoDepartment of Genomics and Evolutionary Biology, National Institute of Genetics, Mishima, Shizuoka, Japan.
Japan Fisheries Research and Education Agency · JPThe University of Tokyo · JPNational Institute of Genetics · JPKitasato University · JPKyushu University · JPWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The taxonomic compositions of marine prokaryotic communities are known to follow seasonal cycles, but functional metagenomic insights into this seasonality is still limited. We analyzed a total of 22 metagenomes collected at 11 time points over a 14-month period from two sites in Sendai Bay, Japan to obtain seasonal snapshots of predicted functional profiles of the non-cyanobacterial prokaryotic community. Along with taxonomic composition, functional gene composition varied seasonally and was related to chlorophyll a concentration, water temperature, and salinity. Spring phytoplankton bloom stimulated increased abundances of putative genes that encode enzymes in amino acid metabolism pathways. Several groups of functional genes, including those related to signal transduction and cellular communication, increased in abundance during the mid- to post-bloom period, which seemed to be associated with a particle-attached lifestyle. Alternatively, genes in carbon metabolism pathways were generally more abundant in the low chlorophyll a period than the bloom period. These results indicate that changes in trophic condition associated with seasonal phytoplankton succession altered the community function of prokaryotes. Our findings on seasonal changes of predicted function provide fundamental information for future research on the mechanisms that shape marine microbial communities.

Indexed as

MetagenomeSeasonsBaysChlorophyll ACyanobacteriaJapanMetagenomicsMicrobiotaPhylogenyPhytoplanktonRNA, Ribosomal, 16SSalinitySeawaterTemperatureChlorophyll ARNA, Ribosomal, 16S

Identifiers

PMID34637433
PMCPMC8509957
OpenAlexW3205148898

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.