Verma Rahul K, Chetia Sanjay K, Sharma Vinay, Devi Kamalakshi, Kumar Amarendra, Modi Mahendra K
DBT-North East Centre for Agricultural Biotechnology, 785013, Jorhat, Assam, India.
Regional Agricultural Research Station, 785630, Titabar, Assam, India.
Mol Biol Rep. 2022 Dec;49(12):11547-11555. doi: 10.1007/s11033-022-07859-3. Epub 2022 Sep 12.
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.
A drought-tolerant traditional rice cultivar, Banglami, was crossed with a high-yielding, drought-susceptible variety, Ranjit. The mapping population (F) 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).
The novel candidate genes identified for drought tolerance, may be used in the breeding programme for the development of 'climate smart rice varieties'.
水稻是印度东北部阿萨姆邦的主要作物。印度东北部的水稻种质具有育种者感兴趣的独特性状,即对生物和非生物胁迫具有耐受性。在本研究项目中,在与耐旱性相关的数量性状位点(QTL)内鉴定出应激反应基因。在干旱胁迫和对照条件下对基因进行差异表达分析。因此,识别出了与耐旱性相关的“候选基因”,这些基因可应用于育种计划。
将耐旱传统水稻品种Banglami与高产、干旱敏感品种Ranjit杂交。通过单粒传法(SSD)构建了定位群体(F)并用于QTL分析。在干旱胁迫下,通过对QTL进行电子挖掘共鉴定出4752个基因。其中,只有21个基因主要与应激反应相关。最多有4个应激反应基因位于QTL qNOG12.1和qGY1.1内。然而,在对照条件下,鉴定出2088个基因,其中只有15个被归类为主要应激反应基因。基因的功能表征识别出24种不同类型的蛋白质。其中,过氧化物酶和热休克蛋白(Hsp)是应激期间编码的主要蛋白质。除此之外,在应激条件下还产生了OsbZIP23、无机焦磷酸酶、通用应激蛋白、丝氨酸苏氨酸激酶、NADPH氧化还原酶以及属于ABC1家族的蛋白质。差异表达分析显示,在干旱胁迫条件下,三个候选基因,即OsI_32199(抗坏血酸过氧化物酶)、OsI_37694(通用应激蛋白)和OsI_32167(热休克蛋白81 - 1)呈现出显著的表达模式。
鉴定出的耐旱新候选基因可用于育种计划,以培育“气候智能型水稻品种”。