In silico Identification of Resistance and Defense Related Genes for Bacterial Leaf Blight (BLB) in Rice
Bacterial leaf blight (BLB) disease is a rice disease caused by Xanthomonas oryzae pv.oryzae (Xoo). This disease causes devastating losses in the rice industry. To date research has been directed towards identifying QTLs and disease resistance genes that will afford resistance against Xoo. The ric...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Journal of Pure and Applied Microbiology
2018-12-01
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| Series: | Journal of Pure and Applied Microbiology |
| Subjects: | |
| Online Access: | https://microbiologyjournal.org/in-silico-identification-of-resistance-and-defense-related-genes-for-bacterial-leaf-blight-blb-in-rice/ |
| Summary: | Bacterial leaf blight (BLB) disease is a rice disease caused by Xanthomonas oryzae pv.oryzae (Xoo).
This disease causes devastating losses in the rice industry. To date research has been directed towards
identifying QTLs and disease resistance genes that will afford resistance against Xoo. The rice plantations
in different parts of the world are attacked by various strains of Xoo and thence the varieties that exhibit
resistance to these strains may vary from one geographical location to another. In this paper we have
analysed a QTL that has been recurrent in various rice backgrounds making it one of the three main
QTLs responsible for BLB resistance in rice. qBBR11-1, a QTL found in chromosome eleven of rice is
a good candidate for defense and resistance analysis towards BLB due to the various reports on the
presence of multiple resistance genes in this QTL. Through the utilisation of bioinformatics tools we
(1) identified and classified defense genes to functional groups, (2) identified and classified resistance
genes according to the relevant domains, and finally, (3) mapped the relationship between defense
related and resistance genes to build a defense model against BLB. A total of 21 defense genes have
been classified according to functional groups such as chitinase activity, transduction signal and response
to stress. A total of 37 putative resistance genes have been found and classified according to related
domains such as nucleotide binding sites (NBS), trans membrane domains (Trd), WRKY domains and
Ser / Thr Kin without LRR. Collectively all this information is used to provide a graphical representation
of the interaction between the dense and the resistance gene systems. The key genes identified may
be developed into markers for breeding or used in plant transformation works. |
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| ISSN: | 0973-7510 2581-690X |