玉米穗轴粗全基因组关联分析

玉米穗轴粗是一个影响玉米产量和穗轴产量的重要性状,其遗传机制的解析可以对高产育种提供指导。本研究以309份玉米自交系为材料,利用测序基因型分型技术对其进行基因型鉴定。采用FarmCPU(fixed and random model circulating probability unification)、MLMM (multiple loci mixed linear model)和CMLM (compressed mixed linear model)方法,对2017年和2019年河南原阳、河南郸城、河南虞城、海南三亚以及最佳线性无偏估计值环境的穗轴粗,进行全基因组关联分析,共鉴定12个与穗轴粗显著关联的SNP (single nucleotide polymorphisms)(P<8.60E-07)。其中,S4₂9277313利用FarmCPU和MLMM方法在2017年原阳均检测到。S1₂9006330、S2₁70889116、S2₂046026464和S4₈3821...     

广西水稻地方品种核心种质稻瘟病抗性位点全基因组关联分析

稻瘟病是水稻重要病害之一,严重影响水稻的产量与品质。培育抗性品种是防治稻瘟病最经济、环保的方式。稻瘟病抗性基因的鉴定与挖掘是开展抗病育种的基础与前提。本课题组前期对419份广西水稻地方品种核心种质进行简化基因组测序,获得208,993个高质量SNP标记。本研究采用苗期喷雾接种方法,研究了该419份核心种质对7个稻瘟病生理小种的抗性,并根据表型和基因型数据,利用一般线性模型(general linear model,GLM)和混合线性模型(mixed linear model,MLM)进行全基因组关联分析。2种模型下共检测到20个位点,其中GLM检测到20个位点,MLM检测到1个位点,Chr12_10803913位点在2种模型下都检测到。17个位点与前人定位的基因/QTLs重叠,其余3个是新位点,分别为Chr3_18302718、Chr3_18302744及Chr5_10379127位点。在20个显著关联位点上下游各150 kb的基因组区域中共筛选出候选基因323个,初步确定8个候选基因与抗病相关,其中LOC_Os12g18360(Pita)、LOC_Os12g18729(Ptr)为已知克隆的基因,LOC_Os03g32100、LOC_Os03g32180和LOC_Os05g18090为新位点附近筛选到的候选基因。本研究结果为稻瘟病抗性位点挖掘与稻瘟病相关基因克隆提供了科学依据。     

大麦籽粒β-葡聚糖含量的全基因组关联分析

葡聚糖是大麦籽粒的一个重要品质性状,其含量高低影响大麦啤用、饲用和食用品质。虽然有关大麦β-葡聚糖合成的相关基因已有报道,但关于大麦籽粒β-葡聚糖积累的遗传调控机制仍不十分清楚。本研究以前期收集的全球119份大麦基因型为材料,种植在土壤与气候条件有一定差异的两试点,利用混合线性模型(MLM)和一般线性模型(GLM)对不同大麦材料籽粒β-葡聚糖含量进行GWAS分析。结果表明,大麦籽粒β-葡聚糖含量的基因型差异显著,其在2个环境下的广义遗传力为73.9%。利用MLM和GLM模型分别检测到8个和40个显著位点,合并2个模型重叠位点后共得到44个显著位点,其中HORVU5Hr1G022710基因在2个模型、2个地点均被鉴定到,故被认为是与β-葡聚糖含量显著相关的候选基因。2个模型中最佳等位基因数与β-葡聚糖含量均呈显著正相关。此外,基于基因注释,共鉴定到10个与糖合成、转运及分解相关的酶类基因,这些基因可能与籽粒中β-葡聚糖的合成、积累和分解紧密相关。本研究结果为阐明β-葡聚糖的遗传调控机制提供了新的视角,亦为大麦籽粒β-葡聚糖的遗传改良奠定了一定的理论基础。     

Characterization of a mini core collection of Japanese wheat varieties using single-nucleotide polymorphisms generated by genotyping-by-sequencing

A core collection of Japanese wheat varieties (JWC) consisting of 96 accessions was established based on their passport data and breeding pedigrees. To clarify the molecular basis of the JWC collection, genome-wide single-nucleotide polymorphism (SNP) genotyping was performed using the genotyping-by-sequencing (GBS) approach. Phylogenetic tree and population structure analyses using these SNP data revealed the genetic diversity and relationships among the JWC accessions, classifying them into four groups; “varieties in the Hokkaido area”, “modern varieties in the northeast part of Japan”, “modern varieties in the southwest part of Japan” and “classical varieties including landraces”. This clustering closely reflected the history of wheat breeding in Japan. Furthermore, to demonstrate the utility of the JWC collection, we performed a genome-wide association study (GWAS) for three traits, namely, “days to heading in autumn sowing”, “days to heading in spring sowing” and “culm length”. We found significantly associated SNP markers with each trait, and some of these were closely linked to known major genes for heading date or culm length on the genetic map. Our study indicates that this JWC collection is a useful set of germplasm for basic and applied research aimed at understanding and utilizing the genetic diversity among Japanese wheat varieties.     

Identification of genomic regions linked to blast (Pyricularia grisea) resistance in pearl millet

Blast disease causes serious economic yield losses in pearl millet. Identification and introgression of genomic regions associated with blast resistance can help to develop resistant cultivars to minimize yield losses incurred from blast outbreaks. In this study, 384 advanced pearl millet genotypes were screened against six blast pathotype-isolates (major pearl millet growing agro-ecologies of India), namely, Pg 45, Pg 118, Pg 138, Pg 186, Pg 204 and Pg 232. Analysis of variance showed significant (P < .001) variation among genotypes for blast reaction (susceptible to resistance). ICMR 08111 and ICMR 10888 genotypes showed resistance to all six blast pathotypes. A genome-wide association study performed with 264,241 single nucleotide polymorphic markers could successfully identify 15 SNPs (P = 1.26 × 10⁻⁷ to 9.22 × 10⁻¹²) underlying the genomic regions governing blast-resistance across five different chromosomes. The SNPs reported had a significant association in at least two of the three models tested (GLM, MLM and Farm CPU). These SNPs can be used in pearl millet-resistant breeding programmes after their function has been validated across different genetic backgrounds.     

砷胁迫下甘蓝型油菜苗期根、下胚轴和鲜重的全基因组关联分析

油菜是修复土壤重金属污染的理想作物,为筛选甘蓝型油菜耐砷性的显著关联单核苷酸多态性位点及相关候选基因,本研究以140份不同来源的甘蓝型油菜自交系为材料,测定和利用油菜60KSNP芯片对正常和砷胁迫条件下的相对根长(RRL)、相对下胚轴长(RHL)和相对鲜重(RFW)进行了全基因组关联分析。结果表明,与RRL、RHL和RFW显著关联的SNP位点分别为15、20和35个,单个SNP位点表型贡献率分别介于13.31%～24.39%、18.04%～33.82%和20.19%～25.06%之间;其中在A02、A07和C02染色体上同时存在与RRL、RHL和RFW显著关联的LD区间。基于油菜基因组信息在LD区间内共筛选到61个可能与砷胁迫相关的候选基因,其中PHT3;3、PHT1;9、GST、OTC5、NRAMP1和ZIP12等与重金属吸收和转运相关。实时荧光定量PCR分析结果表明, PHT3;3和PHT1;9是与甘蓝型油菜砷离子吸收转运相关的重要候选基因。本研究结果对于甘蓝型油菜耐砷胁迫机理的研究、性状的改良具有重要参考价值。     

Genome-wide association study of differences in 14 agronomic traits under low- and high-density planting models based on the 660k SNP array for common wheat

One hundred and ninety-seven wheat accessions from Yellow and Huai Winter Wheat Region (YHW) were evaluated for differences of 14 agronomic traits under low- and high-density plantings. Compared with the high-density plantings, plant height, neck length, uppermost internode length, flag leaf angle and number of sterile spikelets under the low-density plantings reduced, while heading date, flowering date, flag leaf length and width, spike length, number of fertile spikelets, grain number per spike, thousand-kernel weight and grain weight per spike increased. A total of 1,118 markers were detected based on GWAS, and seven QTLs were confirmed. One QTL on chromosomes 5BL and two other QTLs on 5Dl were all tightly associated with flowering date difference. Bioinformatics analysis revealed that two haploblocks in 5Dl were involved, and the Vrn-D1 locus was located in this interval. A region on chromosome 5B at around 531.5 Mb was significantly associated with plant height difference. Two QTLs including AX-94840438 (7BL) and AX-94563647 (7DS) were responsible for neck length or uppermost internode length difference.     

Genomic selection in hybrid breeding

While hybrid breeding is widely applied in outbreeding species, for many self‐pollinating crop plants, it has only recently been established. This may have had its reason in the limitations of methods available for hybrid performance prediction, in particular when established heterotic pools were absent. Genomic selection has been suggested as a promising approach to resolve these limitations. In our review, we briefly introduce the principles of genomic selection as an extension of marker‐assisted selection using genome‐wide high‐density molecular marker data and discuss the advantages and limitations of currently used algorithms. Including the outcome from a recent extended approach to hybrid wheat as a timely example, we summarize current progress in empirical studies on the application of genomic selection for prediction of hybrid performance. Here, we put emphasis on the factors affecting the accuracy of prediction, pointing in particular to the relevance of relatedness, genotype x environment interaction and experimental design. Finally, we discuss future research needs and potential applications.     

小麦茎秆断裂强度相关性状QTL的连锁和关联分析

小麦茎秆断裂强度与倒伏特性关系密切,并对产量有很大影响。本研究旨在解析茎秆断裂强度的遗传机制,开发与该性状紧密连锁/关联的分子标记。利用山农01-35′藁城9411重组自交系(RIL)群体(含173个F8:9株系)和由205个品种(系)构成的自然群体,借助90 k小麦SNP基因芯片、DArT芯片及传统分子标记技术,在2个环境中对两群体的茎秆断裂强度相关性状进行连锁分析和全基因组关联分析。利用已构建的高密度连锁图谱,在4B染色体的TDURUM_CONTIG63670_287–IACX557和EX_C101685–RAC875_C27536等区段上,检测到9个控制小麦茎秆断裂强度、株高、茎秆第2节间充实度、茎秆第2节壁厚相关性状的加性QTL,可解释表型变异9.40%~36.30%。同时,利用包含24 355个SNP位点的复合遗传图谱,在自然群体中检测到37个与茎秆断裂强度相关性状(P0.0001)的标记,分别位于1A、1B、2B、2D、3A、3B、4A、4B、5A、5B、5D、6B、7A、7B和7D染色体,可解释表型变异7.76%~36.36%。在4B染色体上,以连锁分析检测到控制茎秆断裂强度的RAC875_C27536与关联分析检测到的Tdurum_contig4974_355标记,在复合遗传图谱上的距离为6.7 cM,说明该区段存在控制小麦茎秆断裂强度的重要基因。     

亚麻全基因组关联分析的研究进展

全基因组关联分析(GWAS)是应用单核苷酸多态性(Single Nucleotide Polymorphism,SNP)在全基因组水平上发现影响复杂性状的基因变异的一种手段.为了加强GWAS在亚麻育种中的应用,本文归纳了GWAS的优势及分析流程,列举了近年来国内外利用GWAS定位到的亚麻产量及品质相关性状的标记位点和候...     

Selection for verticillium wilt resistance in potato breeding populations derived from four cross types

Verticillium wilt (VW) is one of the important yield-limiting diseases for potato production. To develop resistant clones, the potential for early generation selection was studied using three basic selection methods, individual, family, and within family selection, for two clonal generations. A total of 152 clones were derived from four cross types (2x × 2x, 2x × 4x, 4x × 2x and 4x × 4x). Clones were evaluated for maturity, symptom expression, yield and stem colonization in replicated trials. Heritability and selection response for the traits were estimated for each selection method. Direct selection in the second clonal generation and individual selection showed more gain than that from other methods. Both 2x × 2x and 4x × 2x families were higher yielding and had lower stem colonization scores than 2x × 4x and 4x × 4x crosses. Therefore, 2x × 2x or 4x × 2x crosses between carefully chosen parents with high yield and VW resistance may produce offspring with superior performance.     

The potential of genomic‐assisted breeding to improve Fusarium head blight resistance in winter durum wheat

Durum wheat is the most important tetraploid wheat mainly used for semolina and pasta production, but is notorious for its high susceptibility to Fusarium head blight (FHB). Our objectives were to identify and characterize quantitative trait loci (QTL) in winter durum and to evaluate the potential of genomic approaches for the improvement of FHB resistance. Here, we employed an international panel of 170 winter and 14 spring durum lines, phenotyped for Fusarium culmorum resistance at five environments. Heading date, plant height and mean FHB severity showed significant genotypic variation with high heritabilities and FHB resistance was negatively correlated with both heading date and plant height. The dwarfing gene Rht‐B1 significantly affected FHB resistance and the genome‐wide association scan identified eight additional QTL affecting FHB resistance, explaining between 1% and 14% of the genotypic variation. A genome‐wide prediction approach yielded only a slightly improved predictive ability compared to marker‐assisted selection based on the four strongest QTL. In conclusion, FHB resistance in durum wheat is a highly quantitative trait and in breeding programmes may best be tackled by classical high‐throughput recurrent phenotypic selection that can be assisted by genomic prediction if marker profiles are available.     

How narrowly adapted are the products of decentralised breeding? The spread of rice varieties from a participatory plant breeding programme in Nepal

Acceptable rice varieties for high-altitude areas of Nepal were bred by participatory plant breeding (PPB). One of the most adopted varieties, Machhapuchhre-3 (M-3), performed much better in the formal trials system than the products from centralised breeding and was released in 1996. From 1996 to 1999, the spread of M-3 was monitored in high-altitude villages along with unreleased variety Machhapuchhre-9 (M-9), derived from the same cross. The study was done by interviewing individual households, groups, and field verification. Both M-3 and M-9 spread from farmer-to-farmer and through interventions by Non-Government Organisations (NGOs) and Government Organisations (GOs). Their adoption had steadily increased and their spread commenced five to six years earlier than would have been the case in a conventional system. The PPB programme was decentralised – all selection was in only two villages in the same valley – but this did not result in specific adaptation. The varieties were adopted in distant villages situated at much lower altitudes to the original PPB sites and the greatest yield advantage of the varieties over the local landraces was also at these lower altitudes. This revised version was published online in August 2006 with corrections to the Cover Date.     

Assessment of parental performance for yield in Hevea breeding

Summary A study using yield data from seedlings from controlled pollinations and clones derived from them, revealed that, for clones, promising parents can be selected in the first year of tapping and, for seedlings, in the second year. It should be noted that secondary characters (e.g. vigour on tapping, resistance to wind, diseases and dryness) will assume importance for parental assessment only when information on these become available, after several years of tapping. Correlation studies between GCA estimates for seedling and clonal yields support an earlier finding that the former can be used as a criterion for selection of parents.     

新时期北京农户绿色农业生产意愿及其提升路径研究——基于TAM和SEM的农户感知与政策因素影响分析

为推动北京地区绿色农业高效发展,了解广大农户的绿色农业生产意愿并寻求可靠提升路径意义重大。本研究借鉴技术接受模型的分析框架,将意愿的影响因素设计为农户感知和政策因素两大类,利用北京市10个区350个农户的调查数据,采用结构方程模型系统分析了农户感知与政策因素对农户绿色农业生产意愿的影响效果及其相互关系。感知有用性和政策响应对农户参与绿色农业生产意愿具有显著正向影响;感知易用性通过感知有用性的中介作用对意愿产生影响;政策执行力通过感知易用性、感知有用性和政策响应的中介作用对意愿产生影响。并对各因素的综合影响力进行了比较。基于以上分析,提出提升北京农户绿色农业生产意愿的路径建议：采取有效措施提升农户对发展绿色农业有用性和易用性的认知;科学合理设计有效政策,力求提升政策响应效果;强化政策执行落实,发挥政策应有效力。