Fine Mapping of the High-pH Tolerance and Growth Trait-Related Quantitative Trait Loci (QTLs) and Identification of the Candidate Genes in Pacific White Shrimp (Litopenaeus vannamei)

Mar Biotechnol (NY). 2020 Feb;22(1):1-18. doi: 10.1007/s10126-019-09932-8. Epub 2019 Nov 22.

Abstract

High-pH tolerance and growth are important traits for the shrimp culture industry in areas with saline-alkali water. In the present study, an F1 full-sib family of Pacific white shrimp (Litopenaeus vannamei) was generated with a new "semidirectional cross" method, and double-digest restriction site-associated DNA sequencing (ddRAD-Seq) technology was applied to genotype the 2 parents and 148 progenies. A total of 3567 high-quality markers were constructed for the genetic linkage map, and the total map length was 4161.555 centimorgans (cM), showing 48 linkage groups (LGs) with an average interlocus length of 1.167 cM. With a constrained logarithm of odds (LOD) score ≥ 2.50, 12 high-pH tolerance and 2 growth (body weight) QTLs were located. L. vannamei genomic scaffolds were used to assist with the detection of 21 stress- and 5 growth-related scaffold genes. According to the high-pH transcriptome data of our previous study, 6 candidate high-pH response genes were discovered, and 5 of these 6 genes were consistently expressed with the high-pH transcriptome data, validating the locations of the high-pH tolerance trait-related QTLs in this study. This paper is the first report of fine-mapping high-pH tolerance and growth (body weight) trait QTLs in one L. vannamei genetic map. Our results will further benefit marker-assisted selection work and might be useful for promoting genomic research on the shrimp L. vannamei.

Keywords: Growth trait; High-pH stress; Litopenaeus vannamei; QTL; ddRAD-Seq.

MeSH terms

  • Animals
  • Aquaculture
  • Body Weight / genetics*
  • Breeding
  • Chromosome Mapping
  • Female
  • Genetic Linkage
  • Genotype
  • Hydrogen-Ion Concentration
  • Male
  • Penaeidae / genetics*
  • Penaeidae / growth & development
  • Quantitative Trait Loci*
  • Sequence Analysis, DNA
  • Stress, Physiological