Evidence map›Paper›PMID 36503599›Full record

ArticleMicrobiome2022

Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral.

Keigo Ide, Yohei Nishikawa, Toru Maruyama, Yuko Tsukada, Masato Kogawa, Hiroki Takeda, Haruka Ito, Ryota Wagatsuma, Rimi Miyaoka, Yoshikatsu Nakano and 6 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  9. Genomic insights into hostMicrobial genomics · 2025
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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

16 authors at 4 institutions in 1 country.

Keigo Ide *Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Yohei Nishikawa *Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
Toru Maruyama *Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Yuko TsukadaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Masato KogawaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Hiroki TakedaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Haruka ItoDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Ryota WagatsumaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Rimi MiyaokaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Yoshikatsu NakanoTropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan.
Koji KinjoUmino-Tane Co., Ltd., Okinawa, Japan.
Michihiro ItoTropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan.
Masahito HosokawaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Kei YuraDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Shoichiro SudaFaculty of Science, University of the Ryukyus, Okinawa, Japan.
Haruko TakeyamaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan. haruko-takeyama@waseda.jp.
Waseda University · JPNational Institute of Advanced Industrial Science and Technology · JPUniversity of the Ryukyus · JPOkinawa Institute of Science and Technology Graduate University · JP

Funding

Core Research for Evolutional Science and Technology JPMJCR12A4Japan Society for the Promotion of Science JP17H06158
6 · The paper itself

Abstract

backgroundEndozoicomonas bacteria symbiosis with various marine organisms is hypothesized as a potential indicator of health in corals. Although many amplicon analyses using 16S rRNA gene have suggested the diversity of Endozoicomonas species, genome analysis has been limited due to contamination of host-derived sequences and difficulties in culture and metagenomic analysis. Therefore, the evolutionary and functional potential of individual Endozoicomonas species symbiotic with the same coral species remains unresolved.

resultsIn this study, we applied a novel single-cell genomics technique using droplet microfluidics to obtain single-cell amplified genomes (SAGs) for uncultured coral-associated Endozoicomonas spp. We obtained seven novel Endozoicomonas genomes and quantitative bacterial composition from Acropora tenuis corals at four sites in Japan. Our quantitative 16S rRNA gene and comparative genomic analysis revealed that these Endozoicomonas spp. belong to different lineages (Clade A and Clade B), with widely varying abundance among individual corals. Furthermore, each Endozoicomonas species possessed various eukaryotic-like genes in clade-specific genes. It was suggested that these eukaryotic-like genes might have a potential ability of different functions in each clade, such as infection of the host coral or suppression of host immune pathways. These Endozoicomonas species may have adopted different host adaptation strategies despite living symbiotically on the same coral.

conclusionsThis study suggests that coral-associated Endozoicomonas spp. on the same species of coral have different evolutional strategies and functional potentials in each species and emphasizes the need to analyze the genome of each uncultured strain in future coral-Endozoicomonas relationships studies. Video Abstract.

Indexed as

AnthozoaGammaproteobacteriaAnimalsBacteriaCoral ReefsGenomicsHost AdaptationRNA, Ribosomal, 16SSymbiosisRNA, Ribosomal, 16S

Identifiers

PMID36503599
PMCPMC9743535
OpenAlexW4311662288

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.