玉米产量相关性状定位和Meta-QTL整合
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摘要
以自交系PHB47为轮回亲本,美国GEM种质YUCATAN TOL389 ICA为供体,构建包含115个株系的BC3F4群体为材料,利用玉米56K SNP芯片鉴定基因型,采用基于似然比测验的逐步回归分析法,对产量相关性状进行QTL定位分析。共获得7个穗粒数、穗长、粒宽、株高和穗位高加性QTL,解释3.72%～21.90%的表型变异;5个控制单穗重、百粒重、穗长和株高的显性QTL,表型变异解释率为8.40%～21.90%。同时,利用Meta-QTL分析方法,对2005-2018年已发表的不同环境条件下产量相关性状QTL的定位结果进行了整合分析。在正常田间管理条件和营养胁迫条件分别获得37个和16个MQTL。本研究中穗位高加性位点AX-116871591位于MQTL16区段内,并且与MQTLNP7位置相近,该区段内包含生长素/脱落酸转录因子IAA5。穗粒数加性位点AX-86281411,粒宽加性位点AX-86267702和株高显性位点AX-116875920均位于MQTLNP9区段内,该区段内包含NAC转录因子NACTF36。NAC转录因子、MYB转录因子和SOD基因均存在于两个环境条件MQTL区段内。
A backcrossing population BC3F4(containing 115 individuals)derived from inbred line PHB47(recurrent parent)and America GEM germplasm YUCATAN TOL389 ICA(donor parent)was used to identify QTL for grain yield components and seed size by step-wise regression analysis based on likelihood ratio test.The genotyping dataset was generated using Maize 56 K SNP chips.A total of seven additive QTLs were detected for kernel number per ear(KNE),ear length,kernel width(KW),plant height(PH)and ear height(EH),and phenotypic variance explanation(PVE)ranged from 3.72% to 21.90%.Five dominance QTLs were detected for ear weight,Hundred-KW,EH and PH,and the PVE ranged from 8.40% to 21.90%.By Meta-QTL analysis in the published papers from 2005 to 2018 under different conditions,37 and 16 Meta-QTL(MQTL)for grain yield related traits were estimated under normal agricultural management and nutrition stress condition,respectively.EH additive locus AX-116871591 was located at MQTL16,close to MQTLNP7 where Aux/IAA-transcription factor 5 was detected.KNE additive locus AX-86281411,KW additive locus AX-86267702 and PH dominance locus AX-86281411 were located at MQTLNP9 where NAC transcription factor 36 was detected.Several NAC and MYB transcription factor,and SOD gene were found in MQTL under both conditions.
A backcrossing population BC3F4(containing 115 individuals)derived from inbred line PHB47(recurrent parent)and America GEM germplasm YUCATAN TOL389 ICA(donor parent)was used to identify QTL for grain yield components and seed size by step-wise regression analysis based on likelihood ratio test.The genotyping dataset was generated using Maize 56 K SNP chips.A total of seven additive QTLs were detected for kernel number per ear(KNE),ear length,kernel width(KW),plant height(PH)and ear height(EH),and phenotypic variance explanation(PVE)ranged from 3.72% to 21.90%.Five dominance QTLs were detected for ear weight,Hundred-KW,EH and PH,and the PVE ranged from 8.40% to 21.90%.By Meta-QTL analysis in the published papers from 2005 to 2018 under different conditions,37 and 16 Meta-QTL(MQTL)for grain yield related traits were estimated under normal agricultural management and nutrition stress condition,respectively.EH additive locus AX-116871591 was located at MQTL16,close to MQTLNP7 where Aux/IAA-transcription factor 5 was detected.KNE additive locus AX-86281411,KW additive locus AX-86267702 and PH dominance locus AX-86281411 were located at MQTLNP9 where NAC transcription factor 36 was detected.Several NAC and MYB transcription factor,and SOD gene were found in MQTL under both conditions.
引文
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