AI Article Synopsis

  • The Pacific whiteleg shrimp (Litopenaeus vannamei) is a major aquaculture species, with over 3 million tonnes produced globally each year.
  • Current breeding programs focus mainly on physical traits rather than utilizing genetic selection, limiting potential improvements in growth and disease resistance.
  • This study developed extensive genomic resources, including a genotyping array with nearly 9,000 valuable SNPs and an integrated genetic map that covers most of the shrimp's genome, aiding in the identification of traits important for breeding.

Article Abstract

The Pacific whiteleg shrimp, Litopenaeus vannamei, is the most farmed aquaculture species worldwide with global production exceeding 3 million tonnes annually. Litopenaeus vannamei has been the focus of many selective breeding programs aiming to improve growth and disease resistance. However, these have been based primarily on phenotypic measurements and omit potential gains by integrating genetic selection into existing breeding programs. Such integration of genetic information has been hindered by the limited available genomic resources, background genetic parameters and knowledge on the genetic architecture of commercial traits for L. vannamei. This study describes the development of a comprehensive set of genomic gene-based resources including the identification and validation of 234,452 putative single nucleotide polymorphisms in-silico, of which 8,967 high value SNPs were incorporated into a commercially available Illumina Infinium ShrimpLD-24 v1.0 genotyping array. A framework genetic linkage map was constructed and combined with locus ordering by disequilibrium methodology to generate an integrated genetic map containing 4,817 SNPs, which spanned a total of 4552.5 cM and covered an estimated 98.12% of the genome. These gene-based genomic resources will not only be valuable for identifying regions underlying important L. vannamei traits, but also as a foundational resource in comparative and genome assembly activities.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583237PMC
http://dx.doi.org/10.1038/s41598-017-10515-7DOI Listing

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