Next-Generation Sequencing Accelerates Crop Gene Discovery
Language English Country Great Britain, England Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't, Review
PubMed
30573308
DOI
10.1016/j.tplants.2018.11.008
PII: S1360-1385(18)30270-X
Knihovny.cz E-resources
- Keywords
- bulk-segregant analysis, candidate gene, crops, genetics, next-generation sequencing, quantitative trait loci,
- MeSH
- Phenotype MeSH
- Genetic Association Studies MeSH
- Polymorphism, Single Nucleotide MeSH
- Quantitative Trait Loci * MeSH
- Chromosome Mapping MeSH
- High-Throughput Nucleotide Sequencing * MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
The identification and isolation of genes underlying quantitative trait loci (QTLs) associated with agronomic traits in crops have been recently accelerated thanks to next-generation sequencing (NGS)-based technologies combined with plant genetics. With NGS, various revisited genetic approaches, which benefited from higher marker density, have been elaborated. These approaches improved resolution in QTL position and assisted in determining functional causative variations in genes. Examples of QTLs/genes associated with agronomic traits in crops and identified using different strategies based on whole-genome sequencing (WGS)/whole-genome resequencing (WGR) or RNA-seq are presented and discussed in this review. More specifically, we summarize and illustrate how NGS boosted bulk-segregant analysis (BSA), expression profiling, and the construction of polymorphism databases to facilitate the detection of QTLs and causative genes.
References provided by Crossref.org
Biotechnological Perspectives of Omics and Genetic Engineering Methods in Alfalfa
