2023
DOI: 10.1016/j.cj.2022.08.008
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Development of a target capture sequencing SNP genotyping platform for genetic analysis and genomic breeding in rapeseed

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Cited by 5 publications
(5 citation statements)
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“…Phenotypic and statistical analyses were performed to explore the genetic foundations of the main inflorescence flower bud cluster traits. The main inflorescence flower bud clustering trait of Brassica napus was clarified genetically using the (BSA) whole-genome resequencing approach and preliminary location of the major genes that influence it [14]. On this basis, candidate genes were predicted using bioinformatics analysis to locate the region.…”
Section: Introductionmentioning
confidence: 99%
“…Phenotypic and statistical analyses were performed to explore the genetic foundations of the main inflorescence flower bud cluster traits. The main inflorescence flower bud clustering trait of Brassica napus was clarified genetically using the (BSA) whole-genome resequencing approach and preliminary location of the major genes that influence it [14]. On this basis, candidate genes were predicted using bioinformatics analysis to locate the region.…”
Section: Introductionmentioning
confidence: 99%
“…Three of the variants occurred in the non-coding region, including one in the 5 ′ -UTR and two in the 3 ′ -UTR; and other five variants were identified in the coding region, including three synonymous and two missense mutations. SNPs in the coding region may alter the amino acid, affecting the structure and function of the corresponding proteins [22], ultimately leading to changes in the wool phenotype. In this study, we found that SNP3 and SNP5 in the coding region were missense mutations, the conversion of GTG codon to GCG codon in SNP3 resulted in the change of valine to alanine, thus p.Val17Ala, and the conversion of GAC codon to AAC codon in SNP5 resulted in the change of aspartic acid to asparagine, that is, p.Asp317Asn, and both SNPs were significantly associated with CVFD and MFC were significantly correlated, which may be due to the change in amino acid leading to the change in protein secondary structure, which in turn leads to the change in phenotype.…”
Section: Discussionmentioning
confidence: 99%
“…17 Leveraging high-throughput sequencing, from the development of crop genome maps to the identification of high-quality gene resources and the application of molecular marker-assisted breeding, crop breeding efficiency can be enhanced by thousands of times, while breeding cycles can be shortened to two-thirds of their original duration, ultimately enabling the rapid selection of high-quality, environmentally friendly, and nutrient-use-efficient new varieties. 18 2.3.2. Ensuring the Quality of Agricultural Products.…”
Section: Primary Application Scenarios and Objectives Of Bioagricultu...mentioning
confidence: 99%
“…Taking maize as an example, agricultural enterprises have the highest efficiency, followed by farmers’ professional cooperatives and family farms, with professional large-scale households recording the lowest average production efficiency . Leveraging high-throughput sequencing, from the development of crop genome maps to the identification of high-quality gene resources and the application of molecular marker-assisted breeding, crop breeding efficiency can be enhanced by thousands of times, while breeding cycles can be shortened to two-thirds of their original duration, ultimately enabling the rapid selection of high-quality, environmentally friendly, and nutrient-use-efficient new varieties …”
Section: Necessity For the Development Of Bioagriculture In Chinamentioning
confidence: 99%