大白菜黄心性状相关标记的开发与应用

当前国内针对大白菜黄心性状的筛选研究尚有缺乏,试验论据不足,本试验立足分子标记研究,验证及筛选大白菜的黄心性状,分析准确性分子标记,为大白菜黄心性状的筛选研究奠定基础。试验采用纯合白心早熟早抽自交系‘127-4’（P1）和黄心晚抽自交系‘11-2’（P2）为试验主体材料,以‘127-4’为父本,以‘11-2’为母本,两者杂交获得F₁代后,继续使F₁代自交获得了‘264’（F₂）群体。利用所得到的白心大白菜和黄心大白菜植株通过BSA-seq法对大白菜全基因组进行重测序,以此设计并筛选鉴定引物,最后筛选出标记为“9-13”（F：5''- CCGAAGCCCAGATTAGGAG-3'';R：5''-CCATGCCTACGAATGATAT -3''）。得到的该分子标记可在黄心大白菜育种材料中扩展出200bp的特异条带,经验证,该标记区分白心大白菜与黄心大白菜单株的符合度可达到75%以上。目前利用该标记已经准确筛选出30多份黄心大白菜种质资源,大白菜的菜心性状得到了特定把控,也为准确筛选提供了依据。     

3个美国油梨品种在粤西产区引种表现评价

为了解引入国家热带果树种质资源圃(广东湛江)的3个美国油梨品种Hass,Tonnage和Wilson的生育期、果实品质性状和适应性等情况,对这些品种花形态、开花特性、开花授粉受精生理特征和主要果实性状等指标进行了观测和比较分析。结果表明,3个引进油梨品种在粤西地区均能正常开花结果,果实生理成熟期Hass为11月上旬,Tonnage为8月旬,Wilson为9月初。花期均为2月下旬至4月中旬,花期比原产地短10~20天,Hass和Tonnage为A型花, Wilson为B型花;Hass、Tonnage和Wilson花粉萌发率均较高,分别为87%、75%和82%,开花后3h为最佳授粉期。果实风味、口感、颜色等性状与引种地基本一致,而Wilson平均单果重比引种地提高了2倍左右,而Tonnage单果重只达到引种地的70%, Hass与原产地相近。以上结果可为引进品种在我国的生产和利用提供参考。     

Genomic Prediction of Arsenic Tolerance and Grain Yield in Rice: Contribution of Trait-Specific Markers and Multi-Environment Models

Many rice-growing areas are affected by high concentrations of arsenic(As). Rice varieties that prevent As uptake and/or accumulation can mitigate As threats to human health. Genomic selection is known to facilitate rapid selection of superior genotypes for complex traits. We explored the predictive ability(PA) of genomic prediction with single-environment models, accounting or not for trait-specific markers, multi-environment models, and multi-trait and multi-environment models, using the genotypic(1600 K SNPs) and phenotypic(grain As content, grain yield and days to flowering) data of the Bengal and Assam Aus Panel. Under the base-line single-environment model, PA of up to 0.707 and 0.654 was obtained for grain yield and grain As content, respectively; the three prediction methods(Bayesian Lasso, genomic best linear unbiased prediction and reproducing kernel Hilbert spaces) were considered to perform similarly, and marker selection based on linkage disequilibrium allowed to reduce the number of SNP to 17 K, without negative effect on PA of genomic predictions. Single-environment models giving distinct weight to trait-specific markers in the genomic relationship matrix outperformed the base-line models up to 32%. Multi-environment models, accounting for genotype × environment interactions, and multi-trait and multi-environment models outperformed the base-line models by up to 47% and 61%, respectively. Among the multi-trait and multi-environment models, the Bayesian multi-output regressor stacking function obtained the highest predictive ability(0.831 for grain As) with much higher efficiency for computing time. These findings pave the way for breeding for As-tolerance in the progenies of biparental crosses involving members of the Bengal and Assam Aus Panel. Genomic prediction can also be applied to breeding for other complex traits under multiple environments.     

Signatures of positive selection for local adaptation of African native cattle populations: A review

Cattle are central to the lives and diverse cultures of African people. It has played a crucial role in providing valuable protein for billions of households and sources of income and employment for producers and other actors in the livestock value chains. The long-term natural selection of African cattle typically signals signatures in the genome, contributes to high genetic differentiations across breeds. This has enabled them to develop unique adaptive traits to cope with inadequate feed supp...     

Development and evaluation of pyramiding lines carrying early or late heading QTLs in the indica rice cultivar ‘IR64’

The heading date is an important trait for determining regional and climatic adaptability in rice. To expand the adaptability of the indica rice cultivar ‘IR64’, we pyramided multiple early or late heading quantitative trait locus (QTLs) in the ‘IR64’ genetic background by crossing previously developed near-isogenic lines (NILs) with a single QTL for early or late heading. The effects of pyramiding QTLs were observed in three different climatic zones of the Philippines, Madagascar, and Japan. The early heading pyramiding lines (PYLs) headed 6.2 to 12.8 days earlier than ‘IR64’ while the late heading PYLs headed 18.8 to 27.1 days later than ‘IR64’. The PYLs tended to produce low grain yield compared to ‘IR64’. The low yield was not improved by combining SPIKE, which is a QTL that increases the number of spikelets per panicle. Conversely, ‘IR64-PYL(7+10)’ carrying Hd5 and Hd1 headed earlier, produced more tillers, and more panicles per m² than ‘IR64’, and mitigated the yield decrease in early heading. These results suggest that the effects of pyramided QTLs on heading date were consistent across various environments and PYLs could be used to enhance the adaptation of ‘IR64’ in other rice growing environments.     

桃果皮毛长度性状的评价及其与几个主要农艺性状的关系

选择6份不同类型的桃种质,测定其果实发育期果皮毛长度的变化,评价238份桃种质成熟期果实表皮毛长度,探讨其与其他几个主要农艺性状的关系。结果表明,在花后30 d时,果皮毛长度急剧下降,最后呈缓慢下降趋势直至果实成熟。果实成熟期,供试材料果皮毛长度分布在106.3～343.3μm间,平均值为193.9μm,果皮毛最短的种质为‘霞晖2号’,最长的为‘白芒蟠桃’。此外,不同果形、粘/离核、果实成熟期和地理类群种质的果皮毛长度间有明显差异,其中果形可能与果皮毛发育有一定的内在联系。     

水稻灌浆期穗颈瘟发生对产量及茎节代谢产物的影响

【目的】检测自然条件下稻瘟病感病品种茎节的代谢产物,从代谢物角度解析水稻品种感病和产量降低的原因,为粳稻品种感病机理研究和生态防控提供理论依据。【方法】以稻瘟病感病品种辽星1号和粳型恢复系C418为材料,灌浆期调查穗颈瘟发病率,同时采用气相色谱-质谱（GC-MS）非靶向代谢组学方法检测感病茎节和正常茎节的代谢产物,利用主成分分析（PCA）感病茎节与正常茎节之间代谢物组成,利用偏最小二乘法判别分析（PLS-DA）的变量权重值（VIP>1.0）进行两者之间差异代谢产物种类的筛选,比较两者糖类物质和氨基酸类物质的差异,从代谢物角度解析水稻品种产量降低的原因。成熟期进行结实率、千粒重、粒长、糙米率等产量和品质性状测定。【结果】辽星1号和C418穗颈瘟发病率分别为57.23%和82.94%。穗颈瘟显著降低一次枝梗整精米率、二次枝梗的结实率、千粒重、长宽比和整精米率,其他性状无显著差异。辽星1号和C418的茎节GC-MS检测均定性到358种代谢产物,感病茎节上调了73.46%和67.88%的代谢产物。PCA和PLS-DA分析可以将感病茎节和正常茎节的代谢产物清楚分开,辽星1号和C418的感病茎节和正常茎节之间具有明显不同的代谢产物表型,与正常茎节相比,辽星1号感病茎节诱导61种代谢产物相对含量显著变化,C418感病茎节诱导47种代谢产物相对含量显著变化,两个品种共有显著变化的代谢产物30种。其中,次生代谢产物香草酸、α-生育酚、脱氢抗坏血酸、三十烷醇、大豆苷元和N-乙酰-d-甘露糖胺的相对含量显著下调,辽星1号分别下调了87.03%、96.29%、77.95%、74.56%、86.48%和82.68%,C418分别下调了99.92%、99.68%、97.26%、86.67%、94.96%和76.74%。正常茎节中辽星1号这6种次生代谢产物的相对含量分别是C418的2.64、2.39、2.39、2.27、3.09和2.56倍;感病茎节上调了63.33%的糖类物质和68.42%的氨基酸类物质,糖类物质上调了1.02—17.92倍,氨基酸类物质上调了1.05—13.12倍,其中C418糖类物质上调的幅度更大。【结论】穗颈瘟发生显著改变了感病品种辽星1号和C418的茎节代谢产物组成,感病品种可能通过香草酸、α-生育酚、脱氢抗坏血酸、三十烷醇、大豆苷元和N-乙酰-d-甘露糖胺相对含量的变化调控茎节对稻瘟病的防御反应。感病茎节通过积累大量的糖类物质和氨基酸类物质,降低其向籽粒转运,抑制了产量形成。     

Quantitative trait loci mapping for yield-related traits under low and high planting densities in maize (Zea mays)

Average maize yield per hectare has increased significantly because of the improvement in high-density tolerance, but little attention has been paid to the genetic mechanism of grain yield response to high planting density. Here, we used a population of 301 recombinant inbred lines (RILs) derived from the cross YE478 × 08–641 to detect quantitative trait loci (QTLs) for 16 yield-related traits under two planting densities (57,000 and 114,000 plants per ha) across four environments. These yield-related traits responded differently to high-density stress. A total of 110 QTLs were observed for these traits: 33 QTLs only under low planting density, 50 QTLs under high planting density and 27 QTLs across both densities. Only two major QTLs, qCD6 and qWKEL2-2, were identified across low- and high-density treatments. Seven environmentally stable QTLs were also observed containing qED6, qWKEL3, qRN3-3, qRN7-2, qRN9-2 and qRN10 across both densities, as well as qRN9-1 under low density. In addition, 16 and eight pairs of loci with epistasis interaction (EPI) were detected under low and high planting densities, respectively. Additionally, nine and 17 loci showed QTL × environment interaction (QEI) under low- and high-density conditions, respectively. These interactions are of lesser importance than the main QTL effects. We also observed 26 pleiotropic QTL clusters, and the hotspot region 3.08 concentrated nine QTLs, suggesting its great importance for maize yield. These findings suggested that multiple minor QTLs, loci with EPI and QEI, pleiotropy and the complex network of “crosstalk” among them for yield-related traits were greatly influenced by plant density, which increases our understanding of the genetic mechanism of yield-related traits for high-density tolerance.     

GDFs基因家族候选基因对崇仁麻鸡生长性状的影响

利用崇仁麻鸡差异性状的重测序结果,将生长分化因子(GDFs)基因家族作为候选基因,筛选与崇仁麻鸡生长性状相关的多态位点。结果发现,GDF-2、GDF-8和GDF-10基因的多态位点对崇仁麻鸡的生长性状有着显著或极显著的影响。单倍型分析结果显示,GDF-2和GDF-10基因的单倍型H3H3为劣势单倍型组合可以选择淘汰。研究结果表明,GDFs基因家族候选基因对崇仁麻鸡的生长性状有一定的影响。