Evidence map›Paper›PMID 31019228›Full record

ArticleScientific reports2019

Whole genome sequencing reveals the impact of recent artificial selection on red sea bream reared in fish farms.

Bo-Hye Nam, DongAhn Yoo, Young-Ok Kim, Jung Youn Park, Younhee Shin, Ga-Hee Shin, Chan-Il Park, Heebal Kim, Woori Kwak

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In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Bo-Hye NamBiotechnology Research Division, National Institute of Fisheries Science, Busan, 46083, Republic of Korea.
DongAhn YooInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-0033-3721
Young-Ok KimBiotechnology Research Division, National Institute of Fisheries Science, Busan, 46083, Republic of Korea.
Jung Youn ParkBiotechnology Research Division, National Institute of Fisheries Science, Busan, 46083, Republic of Korea.
Younhee ShinResearch and Development Center, Insilicogen Inc., Gyeonggi-do, 16954, Republic of Korea.
Ga-Hee ShinResearch and Development Center, Insilicogen Inc., Gyeonggi-do, 16954, Republic of Korea.
Chan-Il ParkDepartment of Marine Biology & Aquaculture, Gyeongsang National University, Tongyeong, 53064, Republic of Korea.
Heebal KimC&K genomics, 26 Beobwon-ro 9-gil H business Park Bldg. C, #1008, Songpa-gu, Seoul, Republic of Korea.
Woori KwakC&K genomics, 26 Beobwon-ro 9-gil H business Park Bldg. C, #1008, Songpa-gu, Seoul, Republic of Korea. asleo@cnkgenomics.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red sea bream, a popular fish resource in Korea and Japan, is being bred in fish farms of the two countries. It is hypothesized that the genomes of red sea bream are influenced by decades of artificial selection. This study investigates the impact of artificial selection on genomes of red sea bream. Whole genome sequencing was conducted for 40 samples of red sea bream either from Ehime, Nagasaki and Tongyeong fish farms or from the wild. Population stratification based on whole genome data was investigated and the genomic regions of fish farm populations under selection were identified using XP-EHH and relative nucleotide diversity. Gene ontology analysis revealed that different functions were enriched in different fish farms. In conclusion, this study highlights the difference between independently cultured red sea bream populations by showing that influence of artificial selection acted upon completely different genes related to different functions including metabolic and developmental processes.

Indexed as

FisheriesAnimalsGene OntologyGenetics, PopulationGenetic VariationGenomeGenomicsGeographyJapanPhylogenyRepublic of KoreaSea BreamSelection, GeneticWhole Genome Sequencing

Identifiers

PMID31019228
PMCPMC6482192

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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.