【作者】 王辉；

【导师】 蔡一林；

【作者基本信息】 西南大学 ， 遗传学， 2012， 硕士

【摘要】 玉米的叶绿素含量、光合性状和产量等大多数光合相关性状都是由多基因控制的数量性状。为了探讨玉米光合相关性状的遗传机制,本研究利用两套具有不同遗传背景的材料(Y114×Y115和Y105×Y106)分别组配出两个含有189个单株的F2群体(GY和FR群体),对叶绿素含量,光合性状和产量性状进行测定,从分子水平上进行了QTL分析。主要研究结果如下：(1)构建了两张F2遗传连锁图谱利用JionMap4.0软件构建了两张分别包含193和212个SSR标记的F2遗传连锁图谱,覆盖玉米全基因组的总长分别为1164.6cM和1153.3cM,标记间的平均距离分别为6.10cM和5.44cM,达到了QTL定位的基本要求。(2)检测到控制叶绿素含量的21个QTL于五叶期和灌浆期进行了玉米叶绿素含量各个指标的测定,并进行QTL分析,共检测到了21个QTL,分布于第1、4、6和10染色体上。对于GY群体,在第4染色体的imc2391-mmc0371区间检测到控制五叶期叶绿素a、叶绿素b和总含量的QTL各1个,单个QTL可解释表型变异的8.65%-9.87%；在第10染色体的mmc0501-bnlg1451区间检测到控制灌浆叶绿素a、叶绿素b和总含量的QTL各1个,单个QTL可解释表型变异的6.77%-6.93%。对于FR群体,共检测到15个QTL,各QTL的LOD值为2.60-4.71,单个QTL可解释表型变异的5.25%-10.22%。其中,在第1、1、10染色体上检测到3个控制五叶期叶绿素a含量相关的QTL,分别可解释表型变异的7.50%、9.77%、6.17%；3个与五叶期叶绿素总含量相关的QTL,分别可解释表型变异的7.86%、10.22%、5.47%。在第1染色体上检测到2个控制五叶期叶绿素b含量相关的QTL,分别可解释表型变异的8.64%、7.17%；2个与灌浆期叶绿素a含量相关的QTL,分别可解释表型变异的6.62%、9.87%；2个控制灌浆期叶绿素总含量的QTL,分别可解释表型变异的7.20%、9.48%。在第1、1、6染色体上检测到3个控制灌浆期叶绿素b含量的QTL,分别可解释表型变异的8.08%、6.87%、5.25%。并且在第1染色体上的umc1073-bnlg1803区间检测到了控制五叶期控制叶绿素总含量的1个主效QTL,可解释表型变异的10.22%,同时在这个区间检测到1个控制五叶期叶绿素a含量的QTL,可解释表型变异的9.77%。(3)检测到控制光合性状的11个QTLGY群体和FR群体共检测到11个控制光合性状的QTL,分布于第1、2、3、4、5、6和10染色体上。GY群体中共检测到6个光合性状QTL,分别位于第1、4、6和10染色体上,其中1个净光合速率QTL、1个气孔导度QTL、2个胞间CO2浓度QTL、2个蒸腾速率QTL,单个QTL可解释表型变异的5.64%-7.73%。FR群体共检测到5个光合性状OTL,分布于第1、2、3、5和6染色体上,其中2个净光合速率QTL、1个气孔导度QTL、1个胞间CO2浓度QTL、1个蒸腾速率QTL,单个QTL可解释表型变异的5.79%-9.24%。两个群体中没有检测到“一致性”QTL。(4)检测到控制产量性状的26个QTL两个群体共检测到26个产量性状QTL,分布于除第8染色体外的其它染色体上。其中7个穗长QTL,2个穗行数OTL,4个行粒数QTL,6个百粒重QTL,7个轴粗QTL,没有检测到穗粗QTL。两个群体在第7染色体上的umcl408-umcl944区间内检测到1个控制百粒重的“一致性”QTL。GY群体中检测到13个QTL,分布于第1、2、4、6、7和10染色体上。其中检测到2个穗长主效QTL、1个穗行数主效QTL、2个行粒数主效QTL、2个百粒重主效QTL、2个轴粗主效QTL,单个QTL可解释表型变异的10.15%-18.25%。FR群体检测到13个QTL,分布于第1、3、4、5、7、9和10染色体上；其中4个与穗长相关的QTL、1个与穗行数相关的QTL、2个与行粒数相关的QTL、2个与百粒重相关的QTL、4个与轴粗相关的QTL,单个QTL可解释表型变异的5.83%-12.14%。并检测到行粒数和轴粗的2个主效QTL,分别可解释表型变异的12.14%、10.25%。(5)与主效QTLs紧密连锁的分子标记GY群体中,qYFCa-4和qYFCt-4两个五叶期叶绿素含量的主效QTL均与标记nmc0371紧密连锁,qYEL-1和qYEL-6-2两个穗长主效QTL分别与标记umc1590、nc012紧密连锁,穗行数的主效QTL qYKPE-4与标记umc1051紧密连锁,行粒数的两个主效QTL qYKPR-6、qYKPR-10分别与标记umc1248.bnlg2190紧密连锁,百粒重的两个主效QTL qYHKW-4. qYHKW-7分别与标记bnlg1265.umc1944紧密连锁,轴粗的两个主效QTL qYCD-2b、qYCD-5分别与标记umc2005.mmc0481紧密连锁。FR群体中,五叶期叶绿素含量的两个主效TL qRFCa-1-2、qRFCt-1-2均与标记umc1073紧密连锁,灌浆期叶绿素含量的两个主效QTL qRPCa-1-2、qRPCt-1-2均与标记bn1g1007紧密连锁,行粒数的主效QTL qRKPR-4与标记umc1702紧密连锁,轴粗的主效QTL qRCD-10与标记phi050紧密连锁。更多还原

【Abstract】 Most of the photosynthesis-related traits of maize, such as Chlorophyll content, photosynthetic function, and yield, are quantitative traits controlled by many genes. In order to explore the genetic mechanism of maize photosynthetic traits, two F2 populations (GY and FR) with different genetic background were used in this study. Chlorophyll content, photosynthetic traits and yield traits were measured and QTL analysis was made at molecule level. The main results were as follows:(1) Two genetic linkage maps of F2 populations were constructedFor GY population,193 SSR markers were used to develop the maize genetic linkage maps covering 1164.6cM of the whole genome with an average interval of 6.10cM. For FR population, 212 SSR markers were selected to construct the maize genetic linkage maps covering 1153.3cM of the whole genome with an average interval of 5.44cM. That can achieve the basic requirements of the QTL mapping.(2) 21 QTLs for chlorophyll content were detectedThree traits associated with chlorophyll content were detected at the five-leaf stage and at the Postulation stage. Total 21 QTLs were detected on the chromosomes of 1,4,6 and 10.In GY population, One QTL for chlorophyll-a content (FChla), one QTL for chlorophyll-b content (FChlb) and one QTL for total chlorophyll content (FChlt) at five-leaf stage on the marker interval umc2391-mmc0371 of chromosome 4, respectively; Each QTL can explained phenotypic variance 8.65%-9.87%. One QTL for chlorophyll-a content (PChla), one QTL for chlorophyll-b content (PCh1b) and one QTL for total chlorophyll content (PChlt) at the Postulation stage on the marker interval mmc0501-bn1g1451 of chromosome 10, respectively; Each QTL can explain phenotypic variance 6.77%-6.93%.In FR population, fifteen putative QTLs were detected with percentage of variance explained (PVE) running between 5.25%-10.22%,and LOD of QTLs 2.60-4.71. Of those Putative QTLs, three for chlorophyll-a content at the five-leaf stage (FChla) were detected on chromosomes 1,1 and 10, with PVE of 7.50%,9.77% and 6.17%,respectively; Three controlling total chlorophyll content at the five-leaf stage (FChlt) on chromosomes 1,1 and 10, PVE 7.86%,10.22% and 5.47%. Two for chlorophyll-b content at the five-leaf stage (FChlb) on chromosome 1,PVE 8.64% and 7.17%;Two controlling chlorophyll-a content at the postulation stage (PChla) on chromosome 1, PVE 6.62% and 9.87%; Two controlling total chlorophyll content at the postulation stage (PChlt) on chromosome 1, PVE 7.20% and 9.48%. Three controlling chlorophyll-b content at the postulation stage (PChlb) on chromosomes 1,1 and 6, PVE 8.08%,6.87% and 5.25%. There was a major QTL for chlorophyll content at the five-leaf stage (FChlt) on the marker interval umc1073-bn1g1803 of chromosome 1, which explained 10.22% of the phenotypic variance.(3) 11 QTLs for photosynthetic traits were detectedIn total, eleven QTLs were detected on chromosomes1,2,3,5,7,8 and 9. There has detected not the "consistency" QTL in the two populations.In GY population, six photosynthetic traits QTL were detected which located on chromosomes 1,4,6 and 10, respectively; Of those Putative QTLs, one QTL for net photosynthetic rate (Pn), one OTL for stomata conductance (Sc), two OTL for intercellular CO2 concentration (Ci), two OTL for transpiration rate (Tr), the phenotypic variation of a single QTL was 5.64%-7.73%.In FR population, five photosynthetic traits QTL were detected which located on chromosomes 1,4,6 and 10, respectively; of those Putative QTLs, Two QTL for net photosynthetic rate (Pn), one OTL for stomata conductance (Sc), two OTL for intercellular CO2 concentration (Ci), two OTL for transpiration rate (Tr), the phenotypic variation of a single QTL was 5.79%-9.24%.(4) 26 QTLs for yield traits were detected26 QTLs were investigated on all the chromosomes except for chromosomes 8. In the two populations, a major QTL for kernel weight was detected on the marker interval umc1408-umcl944 of chromosome 7.13 QTLs were detected in the GY population, which distributed in chromosomes 1,2,4,6,7 and 10. Of those Putative QTLs, two major QTL for ear length (EL), one major QTL for rows per ear (RPE), two major QTL for kernel per row (KPR), two major QTL for 100-kernel weight (HKW), two major QTL for Cob diameter (CD), a single major QTL contribution rate of 10.15%-18.25%.13 QTLs were detected in the FR population, which distributed in chromosomes 1,3,4,5,7,9 and 10. Four QTL for ear length (EL), one QTL for rows per ear (RPE), two QTL for kernel per row (KPR), two QTL for 100-kernel weight (HKW), four QTL for Cob diameter (CD), a single QTL could explain the phenotypic variation of 5.83%-12.14%. There were two major QTLs for KPR and CD, which explained 12.14% and 10.25% of the phenotypic variance, respectively.(5) Markers close to the major QTLs.SSR marker mmc0371 was the nearest marker close to qYFCa-4 and qYFCt-4.umc1590 link with qYEL-1 closely, nc012 link with qYEL-6-2. umc1051 was the nearest marker close to qYKPE-4.vmc1248 link with qYKPR-6, bnlg2190 link with qYKPR-10. bnlg1265 link with qYHKW-4, umc1944 link with qYHKW-7. umc2005 was the nearest marker close to qYCD-2b, mmc0481 was the nearest marker close to qYCD-5.SSR marker umc1073 were the nearest marker close to qRFCa-1-2 and qRFCt-1-2. bnlg1007 were the nearest marker close to qRPCa-1-2 and qRPCt-1-2. umc1702 link with qRKPR-4 phi050 was the nearest marker close to qRCD-10.更多还原