玉米茎秆抗倒伏遗传的研究进展

王夏青,宋伟,张如养,陈怡凝,孙轩,赵久然

Genetic Research Advances on Maize Stalk Lodging Resistance

WANG XiaQing,SONG Wei,ZHANG RuYang,CHEN YiNing,SUN Xuan,ZHAO JiuRan

表1 玉米茎秆抗倒伏相关性状遗传定位统计

Table 1 The summary of genetic studies for stalk lodging resistance traits in maize

序号 Order 性状 Trait 材料 Material 定位方法 Mapping method 主要结果 Main result 文献 Reference 1 茎秆弯曲强度 Stalk bending strength 216个RIL家系(B73×Ce03005) 216 RILs (B73×Ce03005) 复合区间作图 CIM 微效多基因遗传特征 Polygenic with minor effect inheritance [10] 2 茎皮穿刺强度 Rind penetrometer strength 4692个NAM家系,及 196个IBM的RIL家系 4692 NAM, 196 IBM RILs 连锁分析、关联分析 Linkage analysis, GWAS 鉴定到与苯丙烷和纤维素合成相关的位点 QTLs were related to the synthesis of phenylpropane and cellulose [11] 3 茎皮穿刺强度 Rind penetrometer strength RIL家系(H127R× Chang7- 2)、(B73×By804) RILs (H127R× Chang7-2), (B73×By804) 复合区间作图 CIM 候选基因与细胞壁组分相关 Candidate genes were related to cell wall components [12] 4 茎粗、茎秆弯曲强度、茎皮穿刺强度 Stalk diameter, stalk bending strength, rind penetrometer strength 257个自交系 257 inbred lines 多位点关联分析 Multi-locus association analysis 茎秆强度的改良可通过多个优良基因聚合实现 The improvement of stalk strength can be achieved through the accumulation of multiple favorable alleles [13] 5 茎秆弯曲强度、茎皮穿刺强度 Stalk bending strength, rind penetrometer strength 189个RIL家系 (B73×Ki11) 189 RILs (B73×Ki11) 复合区间作图、关联 分析 CIM, GWAS 鉴定到一个控制茎秆强度的基因stiff1 stiff1 dominates stalk strength [30] 6 茎秆柔韧度 Stalk flexibility 313个F2:3家系(J724×J724A1) 313 F2:3 (J724×J724A1) 混合群体分离分析 BSA 定位到1个控制茎秆柔韧度的QTL位点 One QTL was identified to control stalk flexibility [14] 7 纤维素、半纤维、木质素 Cellulose, hemicellulose, lignin 368个自交系 368 inbred lines 关联分析 GWAS 候选基因涉及细胞壁代谢、转录因子、蛋白激酶 Candidate genes involve cell wall metabolism, transcription factors, protein kinases [31] 8 酸性洗涤纤维、中性洗涤纤维 Acid detergent fiber, neutral detergent fiber 368个自交系 368 inbred lines 关联分析 GWAS 鉴定了ZmC3H2,提出56个候选基因 ZmC3H2 and 56 candidate genes were identified [32] 9 6个细胞壁成分 6 cell wall components 188个RIL家系 (B73 ×By804) 188 RILs (B73×By804) 完备区间作图 ICIM 一半以上的QTL表型变异解释率超过10% More than half of the QTLs explained more than 10% phenotypic variation [33] 10 木质素、葡萄糖和木糖 Lignin, glucose and xylose 263个IBM家系,以及 282个自交系 263 IBM, 282 inbred lines 连锁分析、关联分析 Linkage analysis, GWAS 鉴定到11个与木质素和含糖量有关的QTL 11 QTLs were related to lignin and sugar content [34] 11 木质素及其单体含量 Lignin and its monomer content 242个RIL家系(F838×F286) 242 RILs (F838×F286) 复合区间作图 CIM 定位了80个QTL,包含7个热点区 80 QTLs were mapped, including 7 hot spots [35] 12 细胞壁成分 Cell wall components 11个群体 11 populations 一致性QTL分析 Meta-QTL analysis 鉴定到与细胞壁组成、秸秆消化率相关的QTL QTLs related to cell wall composition and straw digestibility were identified [36] 13 糖分含量 Stalk sugar content 202个RIL家系(YXD053×Y6-1) 202 RILs (YXD053×Y6-1) 复合区间作图 CIM QTL之间有较强的上位性 QTLs with strong epistasis effect [37] 14 株高与穗位高比例 Ratio of ear height to plant height 183个热带玉米自交系 183 tropical maize inbred lines 单倍型关联分析 Haplotype GWAS 单倍型关联分析更适用于倒伏性状的定位 Haplotype GWAS was more efficient for the mapping of lodging-related traits [38] 15 茎粗 Stalk diameter 17个群体 17 populations 一致性QTL分析 Meta-QTL analysis 20个茎粗的Meta-QTLs 20 Meta-QTLs were related to stalk diameter [39] 16 玉米最上节茎秆的维管束数目 Vascular bundle number at the uppermost internode of maize stalk 866个BC2S3,HIF材料 866 BC2S3, HIF 多QTL模型 Multiple QTL mapping 维管束数目受大量微效的QTL控制 Vascular bundle number was dominated by many small-effect QTLs [40] 17 茎皮厚度、维管束数目、密度、茎粗 Rind thickness, vascular bundle number and density, stalk diameter 942个玉米自交系 942 inbred lines 关联分析 GWAS 鉴定到3个控制维管束密度的QTL位点 Three loci were associated with vascular bundle density [41] 18 30个维管束性状 30 vascular traits 480个玉米自交系 480 inbred lines 多位点关联分析 Multi-locus association analysis 鉴定到84个维管束表型候选基因 84 candidate genes were related to vascular bundle phenotype [42]