Identification and validation of genomic regions that affect shoot fly resistance in sorghum [Sorghum bicolor (L.) Moench]

• Published in: Theoretical and applied genetics Vol. 122; no. 8; pp. 1617 - 1630
• Main Authors: Aruna, C, Bhagwat, V. R, Madhusudhana, R, Sharma, Vittal, Hussain, T, Ghorade, R. B, Khandalkar, H. G, Audilakshmi, S, Seetharama, N
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Berlin/Heidelberg : Springer-Verlag 01-05-2011; Springer-Verlag; Springer; Springer Nature B.V
• Subjects: Agriculture; alleles; Animals; Biochemistry; Biological and medical sciences; Biomedical and Life Sciences; Biotechnology; breeding; Chromosome Mapping; Classical genetics, quantitative genetics, hybrids; Crops; Crosses, Genetic; Diverse techniques; Fundamental and applied biological sciences. Psychology; Genetic aspects; genetic background; Genetic engineering; Genetic variation; Genetics of eukaryotes. Biological and molecular evolution; Immunity, Innate - genetics; leaves; Life Sciences; loci; Lod Score; Microsatellite Repeats - genetics; Molecular and cellular biology; Muscidae; Original Paper; pests; Phenotype; Physiological aspects; Plant Biochemistry; Plant Breeding/Biotechnology; Plant Diseases - genetics; Plant Diseases - parasitology; Plant genetics; Plant Genetics and Genomics; Plant resistance; Pteridophyta, spermatophyta; quantitative trait loci; Quantitative Trait Loci - genetics; seedlings; Sorghum; Sorghum - genetics; Sorghum bicolor; trichomes; Vegetals; vigor; India; Quantitative trait loci; Gene pyramiding; Co-localization; Deadheart percentage; Candidate genes; Validation; Monocotyledones; Quantitative character; Genomics; Identification; Resistance; Sorghum bicolor; Gramineae; Angiospermae; Genetics; Above ground plant part; Spermatophyta; Agriculture; Candidate gene; Localization; Shoot
• ISSN: 0040-5752; 1432-2242
• DOI: 10.1007/s00122-011-1559-y

Shoot fly is one of the most important pests affecting the sorghum production. The identification of quantitative trait loci (QTL) affecting shoot fly resistance enables to understand the underlying genetic mechanisms and genetic basis of complex interactions among the component traits. The aim of the present study was to detect QTL for shoot fly resistance and the associated traits using a population of 210 RILs of the cross 27B (susceptible) × IS2122 (resistant). RIL population was phenotyped in eight environments for shoot fly resistance (deadheart percentage), and in three environments for the component traits, such as glossiness, seedling vigor and trichome density. Linkage map was constructed with 149 marker loci comprising 127 genomic-microsatellite, 21 genic-microsatellite and one morphological marker. QTL analysis was performed by using MQM approach. 25 QTL (five each for leaf glossiness and seedling vigor, 10 for deadhearts, two for adaxial trichome density and three for abaxial trichome density) were detected in individual and across environments. The LOD and R ² (%) values of QTL ranged from 2.44 to 24.1 and 4.3 to 44.1%, respectively. For most of the QTLs, the resistant parent, IS2122 contributed alleles for resistance; while at two QTL regions, the susceptible parent 27B also contributed for resistance traits. Three genomic regions affected multiple traits, suggesting the phenomenon of pleiotrophy or tight linkage. Stable QTL were identified for the traits across different environments, and genetic backgrounds by comparing the QTL in the study with previously reported QTL in sorghum. For majority of the QTLs, possible candidate genes were identified. The QTLs identified will enable marker assisted breeding for shoot fly resistance in sorghum.