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20211
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Subject: Agricultural Biotechnology × Author: Gurpreet Kaur × Start date: 2018 × Thesis Type: Ph.D ×
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    ThesisItemOpen Access
    Molecular mapping of yellow mosaic virus resistance in bitter gourd (Momordica charantia L.)
    (Punjab Agricultural University, Ludhiana, 2021) Gurpreet Kaur; Navraj Kaur
    Bitter gourd (Momordica charantia) is a popular cultivated vegetable in India and other countries. The susceptible parent ‘Punjab-14’ and the resistant parent ‘PAUBG-6’ were crossed to obtain F4 mapping population comprising 101 individuals with the objective of mapping yellow mosaic disease resistance in bitter gourd. In the present study, genotypingby-sequencing (GBS) approach was used to develop the genetic linkage map. The map contained 3,144 single nucleotide polymorphism (SNP) markers, consisted of 15 linkage groups and spanned for 2415.2 cM with an average marker distance of 0.7 cM. By adopting the artificial and field inoculation techniques, F4:5 individuals were phenotyped for disease resistance in Nethouse (2019), Rainy (2019) and Spring season (2020). The QTL analysis using the genetic map and phenotyping data identified three QTLs qYMD.pau_3.1, qYMD.pau_4.1 and qYMD.pau_5.1 on chromosome 3, 4 and 5 respectively with phenotypic variation explained (PVE) from 13.5 to 22.1%. In addition, nine horticultural important traits including days to appearance of first female flower, days to appearance of first male flower, days to fruit maturity, node to appearance of first female flower, seed hardness, seed number, fruit length, fruit diameter and fruit weight were evaluated using quantitative data. As a result, twelve QTLs responsible for these traits were also identified. In another experiment, the relative gene expression of begomovirus genes in susceptible and resistant hosts was studied to understand the mechanism of virus resistance. The expression analysis indicated the high expression of AC4 gene in resistant plant provided the information on the efforts of virus to combat the resistance of plant. The information generated in this study is very useful in future for fine-mapping and for marker-assisted selection for these traits.