Evidence map›Paper›PMID 38147145›Full record

ArticleMarine biotechnology (New York, N.Y.)2024

Seascapes Shaped the Local Adaptation and Population Structure of South China Coast Yellowfin Seabream (Acanthopagrus latus).

Wenhao Wang, Junrou Huang, Yan Hu, Jianxiang Feng, Dong Gao, Wenyu Fang, Meng Xu, Chunlei Ma, Zhenqiang Fu, Qinglong Chen and 2 more

Abstract read
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In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2024. 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.

  1. Article
  2. The pangenome ofiScience · 2026
    Article
  3. Genetic Diversity and Population Structure ofAnimals : an open access journal from MDPI · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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

12 authors.

Wenhao Wang *School of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Junrou Huang *School of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Yan HuSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Jianxiang FengSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Dong GaoSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Wenyu FangSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Meng XuSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Chunlei MaSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Zhenqiang FuSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Qinglong ChenSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Xuanguang LiangSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China.
Jianguo LuSchool of Marine Sciences, Sun Yat-sen University, Zhuhai, China. lujianguo@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-3966-8812

Funding

National Natural Science Foundation of China 31902427Project supported by Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) 311021006R&D Project for Jinwan Yellowfin Seabream Breeding System Construction K20-42000-018
6 · The paper itself

Abstract

Understanding the genetic composition and regional adaptation of marine species under environmental heterogeneity and fishing pressure is crucial for responsible management. In order to understand the genetic diversity and adaptability of yellowfin seabream (Acanthopagrus latus) along southern China coast, this study was conducted a seascape genome analysis on yellowfin seabream from the ecologically diverse coast, spanning over 1600 km. A total of 92 yellowfin seabream individuals from 15 sites were performed whole-genome resequencing, and 4,383,564 high-quality single nucleotide polymorphisms (SNPs) were called. By conducting a genotype-environment association analysis, 29,951 adaptive and 4,328,299 neutral SNPs were identified. The yellowfin seabream exhibited two distinct population structures, despite high gene flow between sites. The seascape genome analysis revealed that genetic structure was influenced by a variety of factors including salinity gradients, habitat distance, and ocean currents. The frequency of allelic variation at the candidate loci changed with the salinity gradient. Annotation of these loci revealed that most of the genes are associated with osmoregulation, such as kcnab2a, kcnk5a, and slc47a1. These genes are significantly enriched in pathways associated with ion transport including G protein-coupled receptor activity, transmembrane signaling receptor activity, and transporter activity. Overall, our findings provide insights into how seascape heterogeneity affects adaptive evolution, while providing important information for regional management in yellowfin seabream populations.

Indexed as

PerciformesSea BreamAnimalsChinaHumansOsmoregulationAdaptive variationEnvironmental heterogeneitySalinity gradientSeascape genomicsYellowfin seabream

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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.