Kumar Anuj, Saini Dinesh Kumar, Saripalli Gautam, Sharma P K, Balyan H S, Gupta P K
Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India.
Punjab Agricultural University, Ludhiana, Punjab India.
Physiol Mol Biol Plants. 2023 Apr;29(4):525-542. doi: 10.1007/s12298-023-01301-z. Epub 2023 Apr 11.
Meta-QTLs (MQTLs), ortho-MQTLs, and related candidate genes (CGs) for yield and its seven component traits evaluated under water deficit conditions were identified in wheat. For this purpose, a high density consensus map and 318 known QTLs were used for identification of 56 MQTLs. Confidence intervals (CIs) of the MQTLs were narrower (0.7-21 cM; mean = 5.95 cM) than the CIs of the known QTLs (0.4-66.6 cM; mean = 12.72 cM). Forty-seven MQTLs were co-located with marker trait associations reported in previous genome-wide association studies. Nine selected MQTLs were declared as 'breeders MQTLs' for use in marker-assisted breeding (MAB). Utilizing known MQTLs and synteny/collinearity among wheat, rice and maize, 12 ortho-MQTLs were also identified. A total of 1497 CGs underlying MQTLs were also identified, which were subjected to in-silico expression analysis, leading to identification of 64 differentially expressed CGs (DECGs) under normal and water deficit conditions. These DECGs encoded a variety of proteins, including the following: zinc finger, cytochrome P450, AP2/ERF domain-containing proteins, plant peroxidase, glycosyl transferase, glycoside hydrolase. The expression of 12 CGs at seedling stage (3 h stress) was validated using qRT-PCR in two wheat genotypes, namely Excalibur (drought tolerant) and PBW343 (drought sensitive). Nine of the 12 CGs were up-regulated and three down-regulated in Excalibur. The results of the present study should prove useful for MAB, for fine mapping of promising MQTLs and for cloning of genes across the three cereals studied.
The online version contains supplementary material available at 10.1007/s12298-023-01301-z.
在小麦中鉴定出了在水分亏缺条件下评估产量及其七个构成性状的元QTL（MQTL）、直系同源MQTL和相关候选基因（CG）。为此，使用高密度共识图谱和318个已知QTL来鉴定56个MQTL。MQTL的置信区间（CI）（0.7 - 21 cM；平均值 = 5.95 cM）比已知QTL的CI（0.4 - 66.6 cM；平均值 = 12.72 cM）更窄。47个MQTL与先前全基因组关联研究中报道的标记 - 性状关联共定位。九个选定的MQTL被宣布为“育种者MQTL”，用于标记辅助育种（MAB）。利用已知的MQTL以及小麦、水稻和玉米之间的同线性/共线性，还鉴定出了12个直系同源MQTL。还鉴定出了总共1497个位于MQTL之下的CG，并对其进行了电子表达分析，从而鉴定出在正常和水分亏缺条件下64个差异表达的CG（DECG）。这些DECG编码多种蛋白质，包括以下几种：锌指蛋白、细胞色素P450、含AP2/ERF结构域的蛋白、植物过氧化物酶、糖基转移酶、糖苷水解酶。在两个小麦基因型，即Excalibur（耐旱）和PBW343（干旱敏感）中，使用qRT - PCR验证了12个CG在幼苗期（3小时胁迫）的表达。在Excalibur中，12个CG中有9个上调，3个下调。本研究结果应有助于MAB、对有前景的MQTL进行精细定位以及跨所研究的三种谷物克隆基因。
在线版本包含可在10.1007/s12298 - 023 - 01301 - z获取的补充材料。
