ArticleScientific reports2020
A first genetic linage map construction and QTL mapping for growth traits in Larimichthys polyactis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Meta-Analysis of QTL Mapping and GWAS Reveal Candidate Genes for Heat Tolerance in Small Yellow Croaker,International journal of molecular sciences · 2025Pooled it
- Genetic Parameter Estimation of Growth Traits and Their Implications for Selective Breeding in Small Yellow Croaker (Larimichthys Polyactis).Marine biotechnology (New York, N.Y.) · 2026Article
- First development of a 100 K SNP array for small yellow croaker and its application in genomic selection for growth and disease resistance.BMC genomics · 2025Article
- Exploration of gene presence/absence variations inOpen biology · 2025Article
- Chromosome-level genome assembly of the small yellow croaker, Larimichthys polyactis (Perciformes: Sciaenidae).Scientific data · 2025Article
- Construction of a high-density genetic linkage map and QTL mapping of growth and cold tolerance traits in Takifugu fasciatus.BMC genomics · 2023Article
- Construction of Genetic Linkage Maps From a Hybrid Family of Large Yellow Croaker (Frontiers in genetics · 2021Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Larimichthys polyactis is a commercially important marine fish species in Eastern Asia, yet very few genetic resources exist. In particular, genetic linkage maps are critical tools for genetic breeding. In this study, we generated a high resolution linkage map from a family of 110 individuals and their parents by resequencing the individuals. 3,802 effective SNPs were mapped to 24 linkage groups (LGs). The map spanned 2,567.39 cm, with an average marker interval of 0.66 cm. We used the map to conduct QTL analysis for growth traits, and found 31 markers were significantly associated with growth-related traits. Specifically, three SNPs were identified for total length, nineteen SNPs for body length, and nine SNPs for body weight. The identified SNPs could explain 15.2-22.6% of the phenotypic variation. SNPs associated with growth traits were distributed on LG6 and LG11, and candidate genes included, kif26b, bat1, gna1, gbgt1, and amfr, which may regulate growth. The linkage map and mapped QTLs would be useful for improving the quality of L. polyactis via marker-assisted selection.
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