Quantitative Trait Loci

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Genetics and Genomics".

Deadline for manuscript submissions: closed (15 May 2021) | Viewed by 3885

Special Issue Editor


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Guest Editor
Laboratory of Animal Genetics and Breeding, Department of Animal Sciences, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan
Interests: animal; QTL; QTG; genetics; genomics; breeding
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Special Issue Information

Dear Colleagues,

Quantitative traits are of great importance in agriculture, medicine, and evolution. Recent advances in high-throughput technologies, including next-generation sequencing and omics, have provided opportunities to identify great numbers of quantitative trait loci (QTLs) for molecular traits (e.g., gene expression, protein expression, and DNA methylation) as well as traditional quantitative traits (e.g., body weight, height, obesity, and diabetes). However, most QTLs are located in noncoding genomic regions, making it difficult to discover causal genes, referred to as quantitative trait genes (QTGs), and, further, to identify causal genetic variants, referred to as quantitative trait nucleotides (QTNs). Hence, it is still challenging to understand the link between genotype and phenotype at the genetic and molecular levels. QTL studies that are integrated with multi-omics approaches and causality analysis in the same individuals can accelerate the identification of candidate QTGs and/or QTNs, and they may provide evidence for the biological interpretation of the candidates.

In this Special issue of Life, we welcome original articles and reviews covering all aspects related to the genetic architecture of quantitative and molecular traits in animals, including humans, laboratory animals, livestock, and poultry. These include discoveries of QTLs, QTGs, or QTNs with important traits for agriculture, medicine, and evolution. Especially, we are seeking manuscripts leading to advancement in our understanding of the link between genotype and phenotype.

Dr. Akira Ishikawa
Guest Editor

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Keywords

  • quantitative traits
  • molecular traits
  • QTL
  • QTG
  • QTN
  • animals
  • humans
  • laboratory animals
  • livestock
  • poultry

Published Papers (2 papers)

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Research

9 pages, 1124 KiB  
Article
Mapping QTLs for Breast Muscle Weight in an F2 Intercross between Native Japanese Nagoya and White Plymouth Rock Chicken Breeds
by Akira Ishikawa, Bothaina H. Essa, Sherif M. Nasr and Sae Suzuki
Life 2021, 11(8), 754; https://doi.org/10.3390/life11080754 - 27 Jul 2021
Cited by 2 | Viewed by 1640
Abstract
Nagoya (NAG), a native Japanese chicken breed, has high quality meat but low meat yield, whereas White Plymouth Rock (WPR), a parental breed of commercial broilers, has rapid growth but high body fat. We previously reported three quantitative trait loci (QTLs) for early [...] Read more.
Nagoya (NAG), a native Japanese chicken breed, has high quality meat but low meat yield, whereas White Plymouth Rock (WPR), a parental breed of commercial broilers, has rapid growth but high body fat. We previously reported three quantitative trait loci (QTLs) for early postnatal growth in 239 F2 chickens between NAG and WPR breeds. In this study, using the same F2 chickens at 4 weeks of age, we performed genome-wide QTL analysis for breast muscle weight, fat weight and serum and liver levels of biochemical parameters. Two significant QTLs for pectoralis minor and/or major weights were revealed on chromosome 2 between 108 Mb and 127 Mb and chromosome 4 between 10 Mb and 68 Mb. However, no QTL for the other traits was detected. The two QTLs explained 7.0–11.1% of the phenotypic variances, and their alleles derived from WPR increased muscle weights. The chromosome 2 QTL may be a novel locus, whereas the chromosome 4 QTL coincided with a known QTL for meat quality. The findings provide information that is beneficial for genetic improvement of meat yield for the lean NAG breed and, furthermore, provide a better understanding of the genetic basis of chicken muscle development. Full article
(This article belongs to the Special Issue Quantitative Trait Loci)
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11 pages, 1335 KiB  
Article
Effect of Five Polymorphisms on Percentage of Oleic Acid in Beef and Investigation of Linkage Disequilibrium to Confirm the Locations of Quantitative Trait Loci on BTA19 in Japanese Black Cattle
by Fuki Kawaguchi, Fuka Kakiuchi, Kenji Oyama, Hideyuki Mannen and Shinji Sasazaki
Life 2021, 11(7), 597; https://doi.org/10.3390/life11070597 - 22 Jun 2021
Cited by 5 | Viewed by 1526
Abstract
Five polymorphisms associated with the percentage of oleic acid (C18:1) in beef fat were previously reported on bovine chromosome 19 in different Japanese Black cattle populations. This study aimed to verify the effects of these five polymorphisms on C18:1 using the same Japanese [...] Read more.
Five polymorphisms associated with the percentage of oleic acid (C18:1) in beef fat were previously reported on bovine chromosome 19 in different Japanese Black cattle populations. This study aimed to verify the effects of these five polymorphisms on C18:1 using the same Japanese Black cattle population and conduct linkage disequilibrium (LD) analysis in order to determine the locations of the quantitative trait loci (QTLs). We genotyped the five polymorphisms (SREBP1 c.1065 + 83 (84bp indel), STARD3 c.1187 C > T, GH c.379 C > G, FASN g.841 G > C, and FASN g.16024 A > G) in two populations, which were bred in Hyogo and Gifu Prefectures, Japan (n = 441 and 443, respectively) in order to analyze their effects on C18:1 using analysis of variance (ANOVA). In the Hyogo population, SREBP1 c.1065 + 83 and STARD3 c.1187 C > T were significantly associated with C18:1 (p < 0.001). Meanwhile, FASN g.841 G > C, FASN g.16024 A > G, and GH c.379 C > G were significantly associated with C18:1 (p < 0.01) in the Gifu population. LD analysis was subsequently conducted to detect the range of the QTLs, which ranged from 32.2 to 46.4 Mbp and from 47.8 to 52.1 Mbp in the Hyogo and Gifu populations, respectively. In conclusion, this study confirmed the existence of QTLs on BTA19 and divided the candidate region for each QTL based on LD coefficients. These results could contribute to efficient searches for responsible genes and polymorphisms for fatty acid composition. Full article
(This article belongs to the Special Issue Quantitative Trait Loci)
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