Evidence map›Paper›PMID 21457569›Full record

ArticleBMC genomics2011

A high-resolution linkage map for comparative genome analysis and QTL fine mapping in Asian seabass, Lates calcarifer.

Chun Ming Wang, Zhi Yi Bai, Xiao Ping He, Grace Lin, Jun Hong Xia, Fei Sun, Loong Chueng Lo, Felicia Feng, Ze Yuan Zhu, Gen Hua Yue

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
9.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 110 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Chun Ming WangMolecular Population Genetics Group, Temasek Life Sciences Laboratory, National University of Singapore, Singapore.
Zhi Yi Bai
Xiao Ping He
Grace Lin
Jun Hong Xia
Fei Sun
Loong Chueng Lo
Felicia Feng
Ze Yuan Zhu
Gen Hua Yue
National University of Singapore · SGTemasek Life Sciences Laboratory · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh density linkage maps are essential for comparative analysis of synteny, fine mapping of quantitative trait loci (QTL), searching for candidate genes and facilitating genome sequence assembly. However, in most foodfish species, marker density is still low. We previously reported a first generation linkage map with 240 DNA markers and its application to preliminarily map QTL for growth traits in Asian seabass (Lates calcarifer). Here, we report a high-resolution linkage map with 790 microsatellites and SNPs, comparative analysis of synteny, fine-mapping of QTL and the identification of potential candidate genes for growth traits.

resultsA second generation linkage map of Asian seabass was developed with 790 microsatellite and SNP markers. The map spanned a genetic length of 2411.5 cM, with an average intermarker distance of 3.4 cM or 1.1 Mb. This high density map allowed for comparison of the map with Tetraodon nigroviridis genome, which revealed 16 synteny regions between the two species. Moreover, by employing this map we refined QTL to regions of 1.4 and 0.2 cM (or 400 and 50 kb) in linkage groups 2 and 3 in a population containing 380 progeny; potential candidate genes for growth traits in QTL regions were further identified using comparative genome analysis, whose effects on growth traits were investigated. Interestingly, a QTL cluster at Lca371 underlying growth traits of Asian seabass showed similarity to the cathepsin D gene of human, which is related to cancer and Alzheimer's disease.

conclusionsWe constructed a high resolution linkage map, carried out comparative mapping, refined the positions of QTL, identified candidate genes for growth traits and analyzed their effects on growth. Our study developed a framework that will be indispensable for further identification of genes and analysis of molecular variation within the refined QTL to enhance understanding of the molecular basis of growth and speed up genetic improvement of growth performance, and it also provides critical resource for future genome sequence assembly and comparative genomics studies on the evolution of fish genomes.

Indexed as

Chromosome MappingQuantitative Trait LociAllelesAnimalsAsiaBassFemaleGenetic LinkageGenetic MarkersGenomeGenotypeMaleMicrosatellite RepeatsPolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID21457569
PMCPMC3088568
OpenAlexW2077531948

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LicenceCC BY
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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.