中国栽培和野生大豆农艺品质性状与SSR标记的关联分析 I. 群体结构及关联标记

关联作图是一种利用连锁不平衡(linkage disequilibrium, LD)检测自然群体中基因位点及其等位变异的方法。利用60个SSR标记, 对全国大豆地方品种群体(393份代表性材料)和野生大豆群体(196份代表性材料)的基因组变异进行扫描, 分析两类群体的连锁不平衡位点、群体结构, 并采用TASSEL软件的GLM (general linear model)方法对16个农艺、品质性状观测值进行标记与性状的关联分析。结果表明: (1)在公共图谱上不论共线性的或是非共线性的SSR位点组合都有一定程度的LD, 说明历史上发生过连锁群间的重组; 栽培群体的连锁不平衡成对位点数较野生群体多, 但野生群体位点间连锁不平衡程度高, 随距离的衰减慢。(2) 群体SSR数据遗传结构分析发现, 栽培群体和野生群体分别由9和4个亚群体组成, 亚群的划分与群体地理生态类型相关联, 证实地理生态类型划分有其遗传基础。(3) 栽培群体中累计有27个位点与性状相关; 野生大豆种质中累计有34个位点与性状相关。部分标记在两类群体中都表现与同一性状关联, 检出的位点有一致性, 也有互补性; 一些标记同时与2个或多个性状相关联, 可能是性状相关乃至一因多效的遗传基础; 关联位点中累计有24位点(次)与遗传群体连锁分析定位的QTL一致。     

小麦南大2419及其衍生品种(系)主要农艺性状的关联分析

筛选与小麦重要农艺性状相关联的SSR标记,对小麦分子标记辅助育种有重要的实践意义.本研究利用多态性较高的80个SSR标记,对南大2419及其71份衍生后代品种(系)进行基因型分析,采用TASSEL软件的MLM (Mixed linear model)方法对籽粒产量、千粒重、有效穗、穗粒数等8个主要农艺性状进行SSR标记...     

中国野生大豆群体农艺加工性状与SSR关联分析和特异材料的遗传构成

选用204对SSR标记对全国野生大豆群体(174份代表性样本)的基因组扫描,采用TASSEL软件的GLM (general linear model)方法对百粒重、开花期、成熟期、干豆腐得率、干豆乳得率和耐淹性性状值关联分析,解析与性状关联位点的优异等位变异,鉴别出一批与农艺、加工性状关联的优异等位变异及携带优异等位变异的载体材料;进一步分析极值表型材料的遗传构成。结果表明: (1)累计51个位点(次)与性状关联,有些标记同时与2个或多个性状相关联,可能是性状相关的遗传基础;关联位点中累计16位点(次)与连锁分析定位的QTL一致;(2)与地方品种群体和育成品种群体的关联位点比较,发现野生群体关联位点只有少数与之相同,群体间育种性状的遗传结构有明显差异。(3)与多性状关联的位点其等位变异对不同性状的效应方向可相同可不同,如GMES5532a-A332对百粒重和耐淹性的相对死苗率都是增效效应,而GMES5532a-A344对百粒重是减效效应,对相对死苗率是增效效应;(4)极值表型材料间的遗传构成有很大差异。表型值大的材料携带较多增效效应大的位点等位变异,例如N23349的百粒重是9.08 g,含有4个增效效应较大的位点等位变异;表型值小的材料携带较多减效效应大的位点等位变异,如N23387的百粒重是0.75 g,含有4个减效效应较大的位点等位变异。关联作图得到的信息可以弥补连锁定位信息的不足,尤其是全基因组位点上复等位变异的信息为育种提供了亲本选配和后代等位条带辅助选择的依据。     

QTL mapping of agronomically important traits in sorghum (<Emphasis Type="Italic">Sorghum bicolor</Emphasis> L.)

Sorghum is one of the most important cereal crops; it is used to produce feed, sugar, and biofuel. To investigate genetic tradeoffs between grain and stem sugar production, we evaluated plant height, Brix (the percentage of soluble solids in stalk juice), 100-grain weight and flowering time over 3 years in a recombinant inbred line (RIL) population consisting of 189 individuals derived from a cross between the sweet sorghum cultivar ‘Rio’ and grain sorghum ‘BTx623’. We constructed a genetic linkage map (total length, 1418.71 cM; average distance between markers, 11.26 cM), which consisted of 118 simple sequence repeat (SSR) and 8 insertion-deletion (INDEL) markers. A total of 14 QTLs were detected on chromosomes 1, 3, 6, 7, and 9, which included 6 QTLs for plant height; 4 for Brix; and 2 QTLs for each 100-grain weight and flowering time. Eight QTLs were detected at least in 2 years. These results will be useful for future QTL fine mapping and gene mining for these traits, and useful for the improvement of sorghum through molecular marker-assisted selection.     

大豆育成品种农艺性状QTL与SSR标记的关联分析

利用85个SSR标记,对大豆育成品种群体(190份代表性材料)的基因组进行扫描,在检测群体结构基础上搜索连锁不平衡位点,并采用TASSEL软件的GLM方法对11个大豆农艺性状QTL进行关联分析。结果表明：(1) 在公共图谱上共线性或非共线性的SSR位点组合均广泛存在连锁不平衡(LD),但不平衡程度D′>0.5的组合数只占总位点组合的1.71%,共线位点D′值随遗传距离衰减较快;(2) SSR数据遗传结构分析表明,育成品种群体由7个亚群体组成,矫正后全群体共有45个位点累计136个位点(次)与11个大豆农艺性状QTL关联,其中22个位点(次)与家系连锁定位的QTL区间相重,有43个位点(次) 2年重复出现;(3) 一些标记同时与2个或多个性状关联,可能是性状相关或一因多效的遗传基础;(4) 育成品种群体关联位点与地方品种群体和野生群体只有少数相同,群体间育种性状的遗传结构有相当大差异;(5) 发掘出农艺性状优异等位变异及其载体品种,包括增效最大的产量等位变异Satt347-300 (+932 kg hm^-2,中豆26),生物量等位变异Satt365-294(+3 123 kg hm^-2,黄毛豆),蛋白质含量等位变异Be475343-198 (+0.41%,淮豆4号),脂肪含量等位变异Satt150-273 (+2.32%,科丰15)等。在此基础上作了设计育种的探讨。     

Association analysis of physicochemical traits on eating quality in rice (Oryza sativa L.)

Improvement of rice eating quality is an important objective in current breeding programs. In this study, 130 rice accessions of diverse origin were genotyped using 170 SSR markers to identify marker–trait associations with physicochemical traits on eating quality. Analysis of population structure revealed four subgroups in the population. Linkage disequilibrium (LD) patterns and distributions are of fundamental importance for genome-wide mapping associations. The mean r ² value for all intrachromosomal loci pairs was 0.0940. LD between linked markers decreased with distance. Marker–trait associations were investigated using the unified mixed-model approach, considering both population structure (Q) and kinship (K). In total, 101 marker–trait associations (p < 0.05) were identified using 52 different SSR markers covering 12 chromosomes. The results suggest that association mapping in rice is a viable alternative to quantitative trait loci mapping, and detection of new marker–trait associations associated with rice eating quality will also provide important information for marker-assisted breeding and functional analysis of rice grain quality.     

Identification of QTL for stalk sugar-related traits in a population of recombinant inbred lines of maize

Increasing sugar content in silage maize stalk improves its forage quality and palatability. The genetic mapping and characterization of quantitative trait loci (QTLs) is considered a valuable tool for trait enhancement, yet little information on QTL for stalk sugar content in maize has been reported. To this end, we investigated QTLs associated with stalk sugar traits including Brix, plant height (PHT), three ear leaves area (TELA), and days to silking (DTS) in two environments using a population of 202 recombinant inbred lines from a cross between YXD053, which has a high stalk sugar content, and Y6-1, which has a low stalk sugar content. A genetic map with 180 SSR and 10 AFLP markers was constructed, which spanned 1,648.6 cM of the maize genome with an average marker distance of 8.68 cM, and QTLs were detected using composite interval mapping. Seven QTLs controlling Brix were mapped on chromosomes 1, 2, 6 and 9 in the combined environments. These QTLs could explain 2.69–13.08 % of the phenotypic variance. One major QTL for Brix on chromosome 2 located between the markers bnlg1909 and umc1635 explained 13.08 % of the phenotypic variance. Y6-1 also contributed QTL allele for increased Brix on chromosome 6. One major QTLs controlling PHT on chromosome 1 and TELA on chromosome 4 were also identified and accounted for 13.68 and 12.49 % of the phenotypic variance, respectively. QTL alleles for increased DTS were located on chromosomes 1 and 5 of YXD053. Significant epistatic effects were identified in four traits, but no significant QTL × environment interactions were observed. The information presented here may be valuable for stalk sugar content improvement via marker-assisted selection in silage maize breeding programs.     

Genetic mapping and QTL analysis for sugar yield-related traits in sugarcane

Genetic improvement of sugar content in sugarcane would benefit from the availability of sufficient DNA markers and a genetic map. Genetic linkage maps were constructed to identify quantitative trait loci (QTLs) for seedling brix (SB), brix (B), sucrose percent in juice (SUC), stalk number (SN), stalk length (SL), stalk diameter (SD), internodes (INT), number of green leaves (NGL), at three crop cycles across seven environments in a segregating population with 207 individuals derived from a bi-parental cross of sugarcane elite cultivars. Linkage analysis led to the construction of eight linkage groups (LGs) for Co86011 and sixteen LGs for CoH70. The combined length of the two linkage maps was 2606.77 cM distributed over 24 LGs. 31 QTLs were identified: 2 for SB, 7 for B, 6 for SUC, 4 for SN, 1 for SL, 3 for SD, 6 for INT and 2 for NGL at LOD scores ranging from 2.69 to 4.75. 7 QTLs (22 %) had stable effect across crop year and locations. Markers from parents were found to be associated with both positive and negative effect on all of the traits analyzed. The most important QTLs intervals identified in this study using single-dose marker, were qB2, qSUC2, qINT2 and qB2, qSUC2, qSL2, qINT2 located between SSR markers UGSM31₅₄₈ and UGSM31₆₄₉. These QTLs could be put into use in marker assisted breeding.     

Identification of QTLs for phenolic compounds in oilseed rape (<Emphasis Type="Italic">Brassica napus L.</Emphasis>) by association mapping using SSR markers

Association mapping identifies quantitative trait loci (QTLs) by examining the marker-trait associations that can be attributed to the strength of linkage disequilibrium between markers and functional polymorphisms across a set of diverse germplasm. In this study, association mapping was performed to detect QTL-linked and genome wide SSR markers linked to phenolic compounds of extraction meal in a population of 49 genetically diverse oilseed rape cultivars of dark-seeded, winter-type oilseed rape accessions. Correction for population structure was performed using 559 genome wide SSR markers. Results showed that seed colour is an important contributor to seed meal quality. Totally, 52 SSR markers linked to phenolic compounds were detected, five of them being QTL linked markers. Some of these markers were already mapped on Brassica napus chromosomes that contain known QTL controlling oilseed rape meal quality traits. Our results demonstrate that association mapping is a useful approach to complement and enhance previous QTL information for marker-assisted selection.     

Genetic mapping for resistance to gray leaf spot in maize

The molecular marker technology has been used on mapping of quantitative trait loci (QTLs) associated with plant resistance. The objectives of this research were to estimate genetic parameters and to map genomic regions involved in the resistance to gray leaf spot in maize. Ninety F₃ families from the BS03 (susceptible) and BS04 (resistant) cross were used. Field trials were performed using a 10 × 10 square lattice design with three replications. Data from 62 SSR markers were used for linkage analysis. The locations of the QTLs on the linkage groups were determined by composite interval mapping method and the phenotypic variance explained by each marker was determined by regression analysis. Several QTLs associated to disease resistance were identified in the population BS03 × BS04. Some QTLs showed significant effects over the different environments studied. The existence of significant QTLs in common among different environments indicates these genomic regions as possible new tools for marker-assisted selection in maize breeding programs.     

Development of linkage map and mapping of QTLs for oil content and yield attributes in linseed (<Emphasis Type="Italic">Linum usitatissimum</Emphasis> L.)

Linseed (Linum usitatissimum L.) is an important oilseed as well as stem fiber crop and rich source of omega-3 fatty acid. The present study aims to develop linkage map based on Indian genotypes and utilize it for mapping QTLs for important agronomic traits. Two diverse parental genotypes (KL-213 and RKY-14) of linseed showed wide range of variability for oil content and yield attributes. These parental genotypes also showed reasonable level of SSR polymorphism (~ 9.0%). The mapping population showed normal distribution of phenotypic traits. One hundred forty-six SSR markers were mapped on 15 linkage groups with marker density ranging from 3 to 18 markers per linkage group at average distance of 14.2 cM. A total of 11 QTLs were identified for six quantitative traits. Three QTLs for capsules/plant, 2 QTLs each for plant height, seeds/capsule and oil content and 1 QTL each for branches/plant and seed weight/plant were detected. Phenotypic variability explained by these QTLs varied from 1 to 15.23%. This study provides framework linkage map of linseed using Indian genotypes, which needs to be enriched further for future application in marker assisted breeding of linseed.     

Quantitative analysis and QTL mapping for agronomic and fiber traits in an RI population of upland cotton

Genetic mapping is an essential tool for cotton (Gossypium hirsutum L.) molecular breeding and application of DNA markers for cotton improvement. In this present study, we evaluated an RI population including 188 RI lines developed from 94 F₂-derived families and their two parental lines, ‘HS 46’ and ‘MARCABUCAG8US-1-88’, at Mississippi State, MS, for two years. Fourteen agronomic and fiber traits were measured. One hundred forty one (141) polymorphic SSR markers were screened for this population and 125 markers were used to construct a linkage map. Twenty six linkage groups were constructed, covering 125 SSR loci and 965 cM of overall map distance. Twenty four linkage groups (115 SSR loci) were assigned to specific chromosomes. Quantitative genetic analysis showed that the genotypic effects accounted for more than 20% of the phenotypic variation for all traits except fiber perimeter (18%). Fifty six QTLs (LOD > 3.0) associated with 14 agronomic and fiber traits were located on 17 chromosomes. One QTL associated with fiber elongation was located on linkage group LGU01. Nine chromosomes in sub-A genome harbored 27 QTLs with 10 associated with agronomic traits and 17 with fiber traits. Eight chromosomes in D sub-genome harbored 29 QTLs with 13 associated with agronomic traits and 16 with fiber traits. Chromosomes 3, 5, 12, 13, 14, 16, 20, and 26 harbor important QTLs for both yield and fiber quality compared to other chromosomes. Since this RI population was developed from an intraspecific cross within upland cotton, these QTLs should be useful for marker assisted selection for improving breeding efficiency in cotton line development. Paper number J1116 of the Mississippi Agricultural and Forestry Experiment Station, Mississippi State University, Mississippi State, MS 39762. Mention of trademark, proprietary product, or vendor does not constitute a guarantee or warranty of the product by USDA, ARS and does not imply its approval to the exclusion of other products or vendors that may also be suitable.     

Construction of a genetic linkage map and QTL analysis of fiber-related traits in upland cotton (Gossypium hirsutum L.)

A genetic linkage map with 70 loci (55 SSR, 12 AFLP and 3 morphological loci) was constructed using 117 F₂ plants obtained from a cross between two upland cotton cultivars Yumian 1 and T586, which have relatively high levels of DNA marker polymorphism and differ remarkably in fiber-related traits. The linkage map comprised of 20 linkage groups, covering 525 cM with an average distance of 7.5 cM between two markers, or approximately 11.8% of the recombination length of the cotton genome. The present genetic linkage map was used to identify and map the quantitative trait loci (QTLs) affecting lint percentage and fiber quality traits in 117 F_2:3 family lines. Sixteen QTLs for lint percentage and fiber quality traits were identified in six linkage groups by multiple interval mapping: four QTLs for lint percentage, two QTLs for fiber 2.5% span length, three QTLs for fiber length uniformity, three QTLs for fiber strength, two QTLs for fiber elongation and two QTLs for micronaire reading. The QTL controlling fiber-related traits were mainly additive, and meanwhile including dominant and overdominant. Several QTLs affecting different fiber-related traits were detected within the same chromosome region, suggesting that genes controlling fiber traits may be linked or the result of pleiotropy.     

鲁棉研15号纤维品质性状QTL定位研究

 以陆地棉（Gossypium hirsutum L.）杂交种鲁棉研15号的F₂群体为作图群体,利用SSR标记和JoinMap3.0软件构建遗传连锁图谱;利用复合区间作图法分别对随机组成的3个鲁棉研15号的F_2:3家系亚群体进行纤维品质性状QTL定位。构建的遗传连锁图谱包含116个多态位点,25个连锁群,全长892.25 cM,覆盖棉花总基因组的20.05%,平均每个连锁群4.64个标记,标记间平均距离7.76 cM;根据已有图谱的定位结果,19个连锁群与染色体建立了联系。在3个F_2:3家系亚群体中共检测到46个QTL,其中16个为纤维长度（FL）QTL、7个为纤维强度（FS）、12个为麦克隆值（FM）、6个为伸长率（FE）,5个为整齐度指数（FU）。发现在A_h05、A_h08、A_h09、D_h02染色体上QTL有成簇分布的现象,并在3个亚群体中检测到一些受环境影响较小、稳定遗传的QTL。这些QTL可以在今后应用于分子标记辅助选择。     

Mapping of EST-derived CAPS markers in Italian ryegrass (Lolium multiflorum Lam.)

New molecular markers derived from expressed sequence tag (EST) sequences were mapped on linkage maps of Italian ryegrass by a two-way pseudo-testcross strategy. cDNA sequences were obtained from various tissues of Italian ryegrass ( Lolium multiflorum ) and converted into cleaved amplified polymorphic sequence (CAPS) markers. Of 260 EST primer pairs that amplified a single band, 74 generated bands that showed clear polymorphisms among individuals of an F₁ mapping family. Of the 74 polymorphic marker loci, 69 were mapped on an Italian ryegrass linkage map previously constructed using amplified fragment length polymorphism (AFLP), restriction fragment length polymorphism (RFLP), and simple sequence repeat (SSR) markers. The newly-developed EST-CAPS markers would be useful as an efficient tool to identify genetic markers and to identify candidate genes for quantitative trait loci (QTLs) associated with important traits in Italian ryegrass.     

Detection of quantitative trait locus for leaffolder (Cnaphalocrocis medinalis (Guenée)) resistance in rice on linkage group 1 based on damage score and flag leaf width

Rice leaffolder (RLF) (Cnaphalocrocis medinalis (Guenée) is a destructive and widespread insect pest throughout the rice growing regions in Asia. The genetics of resistance to RLF in rice is very complex and not thoroughly explored. The present study was conducted to detect the quantitative trait loci (QTL) associated with RLF resistance involving 176 recombinant inbred lines (RILs) of F₈ generation derived from a cross between IR36, a leaffolder susceptible variety and TNAULFR831311, a moderately resistant indica rice culture. Simple sequence repeat (SSR) markers were used to construct specific linkage groups of rice. All the RILs were screened to assess their level of resistance to RLF by measuring the leaf area damaged. Besides this, the length and width of the flag leaf of each RIL were measured since these two parameters were considered as correlated traits to the RLF resistance in rice. All the above parameters observed across the RILs showed quantitative variation. Correlation analysis revealed that damage score based on greenhouse screening was positively correlated with length and width of the flag leaf. Out of 364 SSR markers analysed, 90 were polymorphic between the parents. Multi-point analysis carried out on segregating 69 SSR marker loci linkage group wise resulted in construction of linkage map with eleven groups of 42 SSR markers. Through single marker analysis, 19 SSR markers were found to have putative association with the three phenotypic traits studied. Of these markers, RM472 was identified as a locus having major effect on RLF resistance trait based on length of the flag leaf. Interval mapping detected two QTLs on linkage group 1. Among these QTLs, the QTL flanked by RM576–RM3412 were found to be associated with width of the flag leaf and RLF resistance. The putative SSR markers associated with leaffolder resistance identified in the present study may be one of the loci contributing resistance to RLF in rice.     

短季棉早熟性的分子标记及QTL定位

以两个陆地棉品种中棉所36×TM-1的207个F2单株为作图群体,筛选出73个多态性引物,25个SSR标记、35个RAPD标记和13个SRAP标记,构建了第一张以研究短季棉为主的包含43个标记,标记间的最小遗传距离为11.8 cM,最大遗传距离为48.9 cM,总长1174.0 cM的遗传连锁图谱,覆盖棉花基因组总长度的23.48%。检测到与短季棉早熟性状相关的12个QTLs,其中有8个QTLs呈簇分布在LG1连锁群上,找到对表型变异的贡献率在30%以上与全生育期、霜前花率和开花期有关的QTL各1个。     

普通菜豆根系相关性状的关联分析

幼苗期根系发育对作物的生长发育具有重要作用。利用生长袋纸培系统对324份普通菜豆种质的主根长、根干重、根体积、根表面积等9个根系相关性状进行表型鉴定,并结合覆盖全基因组、有多态性的116对SSR标记,利用MLM（Q+K）模型进行表型和标记的关联分析。表型分析表明,324份材料的9个根系相关性状表型变异丰富,平均变异系数的变动范围是10.09%~37.03%;基因型分析表明,116个多态性SSR标记共检测到919个等位变异位点,每个标记的平均基因多样性指数为0.59,多态性信息含量（PIC）平均值为0.54,显示这些标记具有较高的基因多样性;群体结构分析表明,供试材料分为两个亚群,与普通菜豆起源于两个基因库对应;关联分析结果显示,以P<0.01作为显著条件,共检测到48个显著标记位点,其中有10个位点同时与2个以上性状相关联,有5个位点与前人研究结果一致。研究结果为进一步理解普通菜豆根系的遗传机理提供了理论参考,也为分子标记辅助选择改良普通菜豆根系奠定了基础。     

崇化大梨×新世纪梨F1代分子遗传图谱的构建及两个果实性状的QTL分析

利用崇化大梨×新世纪梨杂交得到的94株F1代实生苗为作图群体,应用mapmaker/exp 3.0软件构建了一张包括19个SSR标记,315个SRAP标记,合计335个标记分属于18个连锁群的遗传图谱,图谱总长度为1 300 cM,平均图距为3.9 cM。采用区间作图法检测到与果实发育期、果形指数两个果实性状相连锁的QTL位点7个,其中主效的QTL位点2个(LOD≥3.5),分别位于LG2和LG17连锁群。     

利用重组自交系群体对水稻产量相关性状的QTL分析

利用水稻(Oryza sativa L．)珍汕97和SLG组合的重组自交系群体和177个微卫星标记,采用复合区间作图法对产量相关性状进行了数量性状基因(QTL)定位,共得到38个QTLs。单个QTL解释这些性状6．6％～32．9％的性状变异,各性状QTL的累积表型贡献率达21．3％～79．5％。大多数性状之间具有显著的表型相关性,相关性较高的性状之间常具有较多共同或紧密连锁的QTL。