Rahul K Verma1, Sanjay K Chetia2, Vinay Sharma3, Kamalakshi Devi3, Amarendra Kumar3, Mahendra K Modi4. 1. DBT-North East Centre for Agricultural Biotechnology, 785013, Jorhat, Assam, India. 2. Regional Agricultural Research Station, 785630, Titabar, Assam, India. 3. Department of Agricultural Biotechnology, Assam Agricultural University, 785013, Jorhat, Assam, India. 4. Department of Agricultural Biotechnology, Assam Agricultural University, 785013, Jorhat, Assam, India. mkmodi@aau.ac.in.
Abstract
INTRODUCTION: Rice is a major crop in Assam, North East (NE) India. The rice accessions belonging to NE India possess unique traits of breeder's interest, i.e., tolerant to biotic and abiotic stresses. In the present research programme, the stress responsive genes were identified within the QTLs associated with drought tolerance. The differential expression profiling of genes were performed under drought stress and control conditions. Thus, the 'candidate genes' associated with drought tolerance were recognised and may be deployed in a breeding programme. METHODS AND RESULTS: A drought-tolerant traditional rice cultivar, Banglami, was crossed with a high-yielding, drought-susceptible variety, Ranjit. The mapping population (F4) was raised through the single seed descent (SSD) method and used in QTL analysis. Under drought stress, a total of 4752 genes were identified through in-silico mining of QTLs. Among these, only 21 genes primarily associated with the stress response. The maximum of four stress-responsive genes were located within the QTLs, qNOG12.1 and qGY1.1. However, under control conditions, 2088 genes were identified, out of which, only 15 were categorised as the major stress responsive genes. The functional characterization of genes recognized 24 different types of proteins. Among these, peroxidase and heat shock proteins (Hsp) are the principal proteins encoded during stress. In addition to that, OsbZIP23, inorganic pyrophosphatase, universal stress protein, serine threonine kinase, NADPH oxidoreductase, and proteins belonging to the ABC1 family were also produced during stress condition. The differential expression profiling showed a profound expression pattern of three candidate genes under drought stress condition, i.e., OsI_32199 (Ascorbate peroxidase), OsI_37694 (Universal stress protein) and OsI_32167 (Heat shock protein 81 - 1). CONCLUSION: The novel candidate genes identified for drought tolerance, may be used in the breeding programme for the development of 'climate smart rice varieties'.
INTRODUCTION: Rice is a major crop in Assam, North East (NE) India. The rice accessions belonging to NE India possess unique traits of breeder's interest, i.e., tolerant to biotic and abiotic stresses. In the present research programme, the stress responsive genes were identified within the QTLs associated with drought tolerance. The differential expression profiling of genes were performed under drought stress and control conditions. Thus, the 'candidate genes' associated with drought tolerance were recognised and may be deployed in a breeding programme. METHODS AND RESULTS: A drought-tolerant traditional rice cultivar, Banglami, was crossed with a high-yielding, drought-susceptible variety, Ranjit. The mapping population (F4) was raised through the single seed descent (SSD) method and used in QTL analysis. Under drought stress, a total of 4752 genes were identified through in-silico mining of QTLs. Among these, only 21 genes primarily associated with the stress response. The maximum of four stress-responsive genes were located within the QTLs, qNOG12.1 and qGY1.1. However, under control conditions, 2088 genes were identified, out of which, only 15 were categorised as the major stress responsive genes. The functional characterization of genes recognized 24 different types of proteins. Among these, peroxidase and heat shock proteins (Hsp) are the principal proteins encoded during stress. In addition to that, OsbZIP23, inorganic pyrophosphatase, universal stress protein, serine threonine kinase, NADPH oxidoreductase, and proteins belonging to the ABC1 family were also produced during stress condition. The differential expression profiling showed a profound expression pattern of three candidate genes under drought stress condition, i.e., OsI_32199 (Ascorbate peroxidase), OsI_37694 (Universal stress protein) and OsI_32167 (Heat shock protein 81 - 1). CONCLUSION: The novel candidate genes identified for drought tolerance, may be used in the breeding programme for the development of 'climate smart rice varieties'.
Authors: Rahul K Verma; S K Chetia; P C Dey; Anjum Rahman; Sandhani Saikia; Vinay Sharma; Himanshu Sharma; P Sen; M K Modi Journal: Genomics Date: 2021-01-19 Impact factor: 5.736
Authors: Paul Flicek; M Ridwan Amode; Daniel Barrell; Kathryn Beal; Simon Brent; Yuan Chen; Peter Clapham; Guy Coates; Susan Fairley; Stephen Fitzgerald; Leo Gordon; Maurice Hendrix; Thibaut Hourlier; Nathan Johnson; Andreas Kähäri; Damian Keefe; Stephen Keenan; Rhoda Kinsella; Felix Kokocinski; Eugene Kulesha; Pontus Larsson; Ian Longden; William McLaren; Bert Overduin; Bethan Pritchard; Harpreet Singh Riat; Daniel Rios; Graham R S Ritchie; Magali Ruffier; Michael Schuster; Daniel Sobral; Giulietta Spudich; Y Amy Tang; Stephen Trevanion; Jana Vandrovcova; Albert J Vilella; Simon White; Steven P Wilder; Amonida Zadissa; Jorge Zamora; Bronwen L Aken; Ewan Birney; Fiona Cunningham; Ian Dunham; Richard Durbin; Xosé M Fernández-Suarez; Javier Herrero; Tim J P Hubbard; Anne Parker; Glenn Proctor; Jan Vogel; Stephen M J Searle Journal: Nucleic Acids Res Date: 2010-11-02 Impact factor: 16.971
Authors: B P Mallikarjuna Swamy; Noraziyah Abd Aziz Shamsudin; Site Noorzuraini Abd Rahman; Ramil Mauleon; Wickneswari Ratnam; Ma Teressa Sta Cruz; Arvind Kumar Journal: Rice (N Y) Date: 2017-05-18 Impact factor: 4.783