Online databases containing genetic information are crucial to extract new candidate genes from existing data and web‐based resources. The objective of this study was, therefore, to predict putative candidate genes associated with resistance to SBR in line UG‐5 and understand their functions using different bioinformatics tools from the online available databases. The physical positions for the flanking markers of the identified putative QTLs were searched on the SoyBase database genome browser based on Glyma 1.01 assembly. The putative candidate genes and annotated functions of the surrounding genes were discovered in the vicinity using SoyBase and Phytozome databases. A total of 18 putative candidate genes were predicted on approximately 482.7 kb region of QTL‐3 (chromosome 18), among which, six putative candidate genes were found to encode leucine‐rich repeat (LRR), Ser/Thr protein phosphatase, leucine‐rich repeat receptor‐like protein kinase (LRR‐RLK) and chitinase‐related proteins, which are associated with plant defence signalling pathways. Moreover, F‐box and leucine‐rich repeat, glycosyltransferase family member and serine/threonine‐protein phosphatase 2A catalytic subunit coding genes were predicted on the novel putative QTL detected on chromosome 9. This information could, therefore, be used for further prediction and annotation of candidate genes from sequenced regions of line UG‐5 as these putative candidate genes were predicted from the Glyma 1.01 assembly.
Soybean rust, Phakopsora pachyrhizi, is one of the most serious and widespread foliar diseases of soybean causing high yield losses worldwide. The objective of this study was to identify and map quantitative trait loci (QTLs) resistant to soybean rust in genotype UG 5. Ninety-seven F 2 mapping plants, obtained from a cross between Wondersoya and UG 5, were used for this study. Quantitative trait locus analysis using QTL IciMapping software identified three putative QTLs associated with soybean rust (SBR) on chromosomes 6, 9 and 18 with logarithms of odds (LOD) scores ranging from 3.47 to 8.23 and phenotypic variance explained by the QTLs ranging from 18.3 to 25.6%. The putative QTL detected on chromosome 9 is novel and has not been reported elsewhere. The putative QTLs identified in this study could help to facilitate SBR resistance breeding towards efficient markerassisted selection approach and gene pyramiding leading to the development of durable resistance.
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