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Revealing the Genetic Architecture of Yield-Related and Quality Traits in Indian Mustard [ Brassica juncea (L.) Czern. and Coss.] Using Meta-QTL Analysis.
- Source :
-
Agronomy . Oct2022, Vol. 12 Issue 10, pN.PAG-N.PAG. 27p. - Publication Year :
- 2022
-
Abstract
- A meta-QTL analysis was conducted in Indian mustard to identify robust and stable meta-QTLs (MQTLs) by utilizing 1504 available QTLs, which included 891 QTLs for yield-related traits and 613 QTLs for quality traits. For yield-related traits, a total of 57 MQTLs (YRTs_MQTLs) were uncovered from the clustering of 560 projected QTLs, which had a 4.18-fold smaller confidence interval (CI) than that of the initial QTLs, whereas, for quality traits, as many as 51 MQTLs (Quality_MQTLs) were derived from 324 projected QTLs, which had a 2.65-fold smaller CI than that of the initial QTLs. Sixteen YRTs_MQTLs were observed to share chromosomal positions with 16 Quality_MQTLs. Moreover, four most promising YRTs_MQTLs and eight Quality-MQTLs were also selected and recommended for use in breeding programs. Four of these selected MQTLs were also validated with significant SNPs that were identified in previously published genome-wide association studies. Further, in silico functional analysis of some promising MQTLs allowed the detection of as many as 1435 genes, which also involved 15 high-confidence candidate genes (CGs) for yield-related traits and 46 high-confidence CGs for quality traits. After validation, the identified CGs can also be exploited to model the plant architecture and to improve quality traits through marker-assisted breeding, genetic engineering, and genome editing approaches. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20734395
- Volume :
- 12
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Agronomy
- Publication Type :
- Academic Journal
- Accession number :
- 159870954
- Full Text :
- https://doi.org/10.3390/agronomy12102442