International Journal of Biological MacromoleculesGenomicsPeer-reviewed journal article
InDels in an intronic region of gene Ccsmd04 coding for dormancy/auxin-associated protein controls sterility mosaic disease resistance in pigeonpea
Sagar Krushnaji Rangari, Namita DubeiD, Vinay Kumar SharmaiD, Sunil S. GangurdeiD, Mamta SharmaiD, Prakash Irappa GangashettyiD, Rachit Kumar SaxenaiD, Abhinav Moghiya, Karma L. Bhutia, Ravi Kant, Mahendar ThudiiD, S. J. Satheesh NaikiD, Aditya PratapiD, GIRISH PRASAD DIXITiD, Sean MayesiD, Manish Kumar PandeyiD
- Citations
- 2
- FWCI
- 1.07
- Field percentile
- top 24%
Abstract
Sterility mosaic disease presents a significant challenge to pigeonpea cultivation in the Indian subcontinent, potentially leading to total crop failure. The development of diagnostic molecular markers for SMD resistance can aid in improving SMD-resistant varieties. In this context, a QTL-seq approach identified genomic regions associated with SMD resistance using a recombinant inbred line generated from ICP8863 x ICPL87119. In total, 6,105 high-confidence variants were identified in the genomic region, namely, smdCc04 based on the delta SNP index. A genomic region smdCc04 on chromosome Cc04 spans 3.2 Mb (9.3 - 12.5 Mb) comprised of 6 missense variants and eight indels. A total of 211 candidate genes were identified from this region. 1 bp insertion, 21 bp insertion, 9 bp deletion, and 3 bp insertion at different intronic positions in 22 susceptible line leads to downregulation of Dormancy/auxin associated protein (Ccsmd04) resulting in loss of signaling in disease resistance pathways. The identified sites recognize four important disease and plant growth related transcription factors. A total of 4 Indels and 8 SNPs were validated from smdCc04 genomic regions using whole genome re-sequencing data and KASP genotyping on resistant and susceptible pigeonpea lines respectively. These markers will be used in pigeonpea breeding programs.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
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