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Next-Generation Sequencing Accelerates Crop Gene Discovery.
Nguyen, Khanh Le; Grondin, Alexandre; Courtois, Brigitte; Gantet, Pascal.
Afiliación
  • Nguyen KL; Université de Montpellier, Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier cedex 5, France; LMI RICE 2, AGI, Km2 Pham Van Dong, Tu Liem, Hanoi, Vietnam.
  • Grondin A; Université de Montpellier, Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier cedex 5, France.
  • Courtois B; CIRAD, UMR AGAP, F-34398 Montpellier, France; Université de Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
  • Gantet P; Université de Montpellier, Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier cedex 5, France; Centre of the Region Haná for Biotechnological and Agricultural Research, Dept. of Molecular Biology, Faculty of Science, Palacký University, Olomouc, Czech Rep
Trends Plant Sci ; 24(3): 263-274, 2019 03.
Article en En | MEDLINE | ID: mdl-30573308
ABSTRACT
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sitios de Carácter Cuantitativo / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Idioma: En Revista: Trends Plant Sci Asunto de la revista: BOTANICA Año: 2019 Tipo del documento: Article País de afiliación: Vietnam

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sitios de Carácter Cuantitativo / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Idioma: En Revista: Trends Plant Sci Asunto de la revista: BOTANICA Año: 2019 Tipo del documento: Article País de afiliación: Vietnam