利用相同来源F2:3和BC2S1群体定位玉米生育期QTL

以普通玉米自交系丹232和爆裂玉米自交系N04为亲本构建259个F2:3和220个BC2S1家系群体,利用SSR标记构建分子标记遗传图谱,利用复合区间作图方法对4个生育期性状进行QTL定位和效应分析。利用F2:3群体共检测到4个抽雄期QTL、6个吐丝期QTL和3个散粉期QTL。单个QTL可解释的表型变异为6.7%~18.4%,可解释的表型总变异为28.9%~50.3%,11个QTL的增效基因来自生育期较长的亲本丹232,其余2个QTL的增效基因来自生育期较短的亲本N04;BC2S1群体检测到8个与4个生育期性状相关的QTL,单个QTL可解释的表型变异为4.5%~11.6%,可解释的表型总变异为13.2%~18.5%,增效基因来自两个亲本的QTL为3个和5个。两类群体检测出QTL的数目、位置、效应和贡献率均存在较大差异,主要原因在于BC2S1群体抽样选择所引起的群体结构差异,F2:3群体显示出较高的QTL检测能力,但回交育种过程中应慎重依据F2:3群体QTL定位结果进行标记辅助选择(MAS)。     

93份叶用枸杞农艺性状分析及综合评价

为客观评价叶用枸杞种质资源多样性和筛选综合性状优异种质,初步筛选出综合性状优异的叶用枸杞新品种。以93份叶用枸杞种质8个农艺性状,利用变异系数、模糊数学隶属函数和聚类分析方法进行分析。变异系数分析显示变异系数范围为5.25%～73.52%,其中变异系数最大的为单株产量, 最小的为叶鲜干比,Shannon多样性指数范围为1.77～5.73,其中Shannon多样性指数最大的为地径,最小的为茎鲜干比;相关性分析显示单株产量与叶面积、叶鲜干比、株高和地茎显著正相关（P ≤0.05）,与叶形指数、茎鲜干比和叶/茎显著负相关（P ≤0.05）;隶属函数分析显示筛选出综合性状优异的叶用枸杞新品种9份,即Z88、Z76、Z100、Z58、Z32、Z54、Z57、Z85和Z69;聚类分析将种质分为五类,第Ⅰ类材料的特征为单株产量最高,株高、地径和叶面积等较大,包含品系Z88和Z76等,第Ⅱ类材料特征为地径最大,株高、叶形指数和叶面积等较大,包含品系Z58和Z32等,第Ⅲ类材料特征为叶面积最大,株高、叶鲜干比等较大,包含品系Z57和Z85等,第Ⅳ类材料特征为叶鲜干比最大,叶形指数和单株产量等较大,第Ⅴ类材料特征为叶/茎最大,叶形指数、茎鲜干比和株高等较大。93份通过杂交获得的叶用枸杞种质资源较为丰富,单株产量、地径、叶面积、叶鲜干比和叶/茎性状是作为评价叶用枸杞种质的重要农艺性状指标,模糊数学隶属函数和聚类分析方法能够准确、可靠地综合评价叶用枸杞种质资源。     

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。     

细菌表达 dsRNA 介导桔小实蝇 flightin基因的 RNA 干扰

【目的】探索饲喂细菌表达目标基因dsRNA介导桔小实蝇flightin基因RNAi的可行性。【方法】将桔小实蝇flightin基因的相应干扰片段构建至L4440干扰载体,并转化大肠杆菌HT115(DE3)菌株,利用IPTG诱导表达flightin基因对应的dsRNA,命名为flightin-dsRNA。【结果】通过饲喂表达flightin-dsRNA的大肠杆菌10倍浓缩菌液,桔小实蝇flightin基因的表达普遍出现了不同程度的上调,其中,雌虫饲喂后5、10、20 d,雄虫饲喂后5 d与对照差异显著,雄虫饲喂后15 d诱发约43%的下调;该方法对桔小实蝇飞行能力及胸部肌肉发育未产生明显影响。【结论】通过饲喂表达flightin-dsRNA的大肠杆菌对桔小实蝇flightin基因进行RNA干扰不可行或干扰效果不明显。