Selamat Nurhanis, Nadarajah Kalaivani K
Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, University Kebangsaan Malaysia, Bangi 43000 UKM, Malaysia.
Plants (Basel). 2021 Apr 7;10(4):716. doi: 10.3390/plants10040716.
Rice is an important grain that is the staple food for most of the world's population. Drought is one of the major stresses that negatively affects rice yield. The nature of drought tolerance in rice is complex as it is determined by various components and has low heritability. Therefore, to ensure success in breeding programs for drought tolerant rice, QTLs (quantitative trait loci) of interest must be stable in a variety of plant genotypes and environments. This study identified stable QTLs in rice chromosomes in a variety of backgrounds and environments and conducted a meta-QTL analysis of stable QTLs that have been reported by previous research for use in breeding programs. A total of 653 QTLs for drought tolerance in rice from 27 genetic maps were recorded for analysis. The QTLs recorded were related to 13 traits in rice that respond to drought. Through the use of BioMercartor V4.2, a consensus map containing QTLs and molecular markers were generated using 27 genetic maps that were extracted from the previous 20 studies and meta-QTL analysis was conducted on the consensus map. A total of 70 MQTLs were identified and a total of 453 QTLs were mapped into the meta-QTL areas. Five meta-QTLs from chromosome 1 (MQTL 1.5 and MQTL 1.6), chromosome 2 (MQTL2.1 and MQTL 2.2) and chromosome 3 (MQTL 3.1) were selected for functional annotation as these regions have high number of QTLs and include many traits in rice that respond to drought. A number of genes in MQTL1.5 (268 genes), MQTL1.6 (640 genes), MQTL 2.1 (319 genes), MQTL 2.2 (19 genes) and MQTL 3.1 (787 genes) were annotated through Blast2GO. Few major proteins that respond to drought stress were identified in the meta-QTL areas which are Abscisic Acid-Insensitive Protein 5 (ABI5), the G-box binding factor 4 (GBF4), protein kinase PINOID (PID), histidine kinase 2 (AHK2), protein related to autophagy 18A (ATG18A), mitochondrial transcription termination factor (MTERF), aquaporin PIP 1-2, protein detoxification 48 (DTX48) and inositol-tetrakisphosphate 1-kinase 2 (ITPK2). These proteins are regulatory proteins involved in the regulation of signal transduction and gene expression that respond to drought stress. The meta-QTLs derived from this study and the genes that have been identified can be used effectively in molecular breeding and in genetic engineering for drought resistance/tolerance in rice.
水稻是一种重要的谷物,是世界上大多数人口的主食。干旱是对水稻产量产生负面影响的主要胁迫因素之一。水稻耐旱性的本质很复杂,因为它由多种成分决定且遗传力较低。因此,为确保耐旱水稻育种计划取得成功,感兴趣的数量性状基因座(QTL)必须在各种植物基因型和环境中保持稳定。本研究在各种背景和环境下鉴定了水稻染色体中的稳定QTL,并对先前研究报道的用于育种计划的稳定QTL进行了元QTL分析。共记录了来自27个遗传图谱的653个水稻耐旱QTL用于分析。记录的QTL与水稻中对干旱有响应的13个性状相关。通过使用BioMercartor V4.2,利用从先前20项研究中提取的27个遗传图谱生成了一个包含QTL和分子标记的共识图谱,并对该共识图谱进行了元QTL分析。共鉴定出70个元QTL,共有453个QTL被定位到元QTL区域。选择了来自第1染色体(MQTL 1.5和MQTL 1.6)、第2染色体(MQTL2.1和MQTL 2.2)和第3染色体(MQTL 3.1)的5个元QTL进行功能注释,因为这些区域的QTL数量较多,并且包括水稻中许多对干旱有响应的性状。通过Blast2GO对MQTL1.5(268个基因)、MQTL1.6(640个基因)、MQTL 2.1(319个基因)、MQTL 2.2(19个基因)和MQTL 3.1(787个基因)中的一些基因进行了注释。在元QTL区域鉴定出了一些对干旱胁迫有响应的主要蛋白质,它们是脱落酸不敏感蛋白5(ABI5)、G盒结合因子4(GBF4)、蛋白激酶PINOID(PID)、组氨酸激酶2(AHK2)、自噬相关蛋白18A(ATG18A)、线粒体转录终止因子(MTERF)、水通道蛋白PIP 1-2、蛋白解毒48(DTX48)和肌醇四磷酸1-激酶2(ITPK2)。这些蛋白质是参与干旱胁迫信号转导和基因表达调控的调节蛋白。本研究得到的元QTL以及已鉴定的基因可有效地用于水稻抗/耐旱性的分子育种和基因工程。