水稻白条纹叶突变体wsl1的遗传分析及基因精细定位

从粳稻日本晴和籼稻R1128杂交衍生的重组自交系群体中获得一个稳定遗传的白条纹叶突变体wsl1(white stripe leaf 1),世代为F10。与亲本R1128相比,突变体wsl1表现出白条纹叶,同时叶脉呈现白化,该性状在苗期就出现并持续整个生育期;突变体的株高、每穗总粒数、剑叶长、生育期显著增加,而结实率显著下降,其他农艺性状没有显著变化。分蘖期突变体wsl1的叶绿素a、叶绿素b和胡萝卜素含量较杂交亲本R1128显著下降;透射电镜观察表明,与野生型相比,突变体的叶绿体形状异常,不规则。遗传分析表明,该突变性状由1对隐性核基因控制。精细定位后发现,目标基因WSL1位于第1染色体短臂上标记M1-54与标记M1-70之间,两者相距89.7 kb。生物信息学分析表明候选区间内共有8个开放阅读框,暂未发现已报道的叶色相关基因;其中LOC_Os01g02080编码肽基脯氨酰顺反异构酶, GO (Gene Ontology)分类显示其可能与类囊体形成有关,后续将通过比较测序、qRT-PCR等分子实验来确定候选基因。     

A social learning video method: Identifying and sharing successful transformation knowledge for sustainable soil management in Switzerland

To enhance sustainable land use, a From Farmer to Farmer project was conducted in Switzerland (2001–2010). A multi‐stakeholder discussion group co‐produced nine videos with experienced farmers and wine producers showing sustainable soil management practices. We analysed the video audio‐visual content and drew on reflections of the co‐production process, referring to concepts of system, target and transformation knowledge, as well as on social learning. The analysis showed a broad range of means (or actions) for sustainable soil management in arable land management, fodder production and wine growing that are aligned to transformation knowledge. The research showed that farmers refer to three phases of social learning, light‐bulb moments, coping with challenges and gaining successful expertise. These are not just linear processes of individuals. Four types of social learning were found in the video analysis: (a) learning from observing actions of others, (b) sharing experiences with storytelling, (c) informal social interactions and (d) being a role model with a large social network. Videos enable transformation knowledge to be shared with peers using storytelling; this powerful narrative communication style provides credibility and respects the ‘thought style’ of the target audience group. We conclude that for successful implementation of sustainable actions, it is important to address a specific target group and share their transformation knowledge built upon system and target knowledge. The social learning video method is a viable way to enable social learning between science, administration and practice and has potential for fostering change in sustainable soil management.     

Using webinars to extend the reach of soil learning in New South Wales: A first look

Increasingly knowledge is shared using new web‐based channels. The use of these channels is relatively new in the realm of soil science. However, they may prove to be very useful for connecting time‐poor, geographically dispersed audiences in an efficient and cost‐effective way. There has been limited study of this form of knowledge sharing for natural science (let alone soil science). In New South Wales (NSW), Australia, the NSW Department of Primary Industries (NSW DPI) has coordinated the Soil Network of Knowledge (SNoK) monthly webinar over 3 years, with over 40 webinars targeting an audience of next users of soil information. Aggregated data collected from these webinars indicated that the majority of information is used for professional development by participants. Whether this will eventually lead to on‐ground practice change because of the improved professional and technical knowledge of participants is still a moot point and will require further investigation over time. The information collected on attendance and participation showed that webinars are a good way to connect with some target audiences such as other government bodies that have a historical relationship with NSW DPI. However, other target audiences that NSW DPI has always found difficulty in engaging, such as private advisers, require more active overtures to drive participation. The growing subscriber base is encouraging.     

Enhancing pedotransfer functions with environmental data for estimating bulk density and effective cation exchange capacity in a data‐sparse situation

Soil bulk density (BD) and effective cation exchange capacity (ECEC) are among the most important soil properties required for crop growth and environmental management. This study aimed to explore the combination of soil and environmental data in developing pedotransfer functions (PTFs) for BD and ECEC. Multiple linear regression (MLR) and random forest model (RFM) were employed in developing PTFs using three different data sets: soil data (PTF‐1), environmental data (PTF‐2) and the combination of soil and environmental data (PTF‐3). In developing the PTFs, three depth increments were also considered: all depth, topsoil (<0.40 m) and subsoil (>0.40 m). Results showed that PTF‐3 (R²; 0.29–0.69) outperformed both PTF‐1 (R²; 0.11–0.18) and PTF‐2 (R²; 0.22–0.59) in BD estimation. However, for ECEC estimation, PTF‐3 (R²; 0.61–0.86) performed comparably as PTF‐1 (R²; 0.58–0.76) with both PTFs out‐performing PTF‐2 (R²; 0.30–0.71). Also, grouping of data into different soil depth increments improves the estimation of BD with PTFs (especially PTF‐2 and PTF‐3) performing better at subsoils than topsoils. Generally, the most important predictors of BD are sand, silt, elevation, rainfall, temperature for estimation at topsoil while EVI, elevation, temperature and clay are the most important BD predictors in the subsoil. Also, clay, sand, pH, rainfall and SOC are the most important predictors of ECEC in the topsoil while pH, sand, clay, temperature and rainfall are the most important predictors of ECEC in the subsoil. Findings are important for overcoming the challenges of building national soil databases for large‐scale modelling in most data‐sparse countries, especially in the sub‐Saharan Africa (SSA).     

水稻紫鞘染色体片段代换系Z519的鉴定及PSH1候选基因分析

花青素是广受人们喜爱的植物色素,在食品加工、杂种纯度鉴定中具有重要的作用。本研究鉴定了一个以日本晴为受体、优良紫鞘恢复系R225为供体亲本的紫鞘水稻染色体片段代换系Z519。Z519共含有16个代换片段,分布于除第10染色体外的其他11条染色体,平均长度为6.85 Mb。Z519在芽鞘3 mm时鞘尖呈现紫色,其后在叶鞘、叶缘、茎维管束和柱头等部位出现紫色线条,而日本晴各部位均为绿色。Z519叶鞘中花青素含量极显著高于日本晴,剑叶中没有显著差异。与受体日本晴相比,Z519的株高显著降低,千粒重、主穗总粒数和实粒数显著增加,有效穗数、主穗长和结实率无显著差异。进一步以日本晴与Z519杂交产生的F1和F2群体对紫鞘基因进行了遗传分析和分子定位。该紫鞘表型受显性单基因控制,位于第1染色体In Del标记L03和SSR标记L01之间37.8 kb的区域,被命名为PSH1。对该区间进行候选基因预测和测序,Z519在一个编码质体ATP/ADP转运蛋白的LOC_Os01g45910基因第一外显子的第238~252碱基的GTG重复区又多插入了GTG 3个碱基,导致增加了一个甘氨酸。q RT-PCR结果进一步表明其表达量在Z519中明显降低,初步确定LOC_Os01g45910是PSH1的候选基因。该研究为PSH1调控花青素的分子机制奠定了良好基础。     

Genomewide association study reveals novel quantitative trait loci associated with resistance towards Septoria tritici blotch in North European winter wheat

Fungal diseases are a major constraint for wheat production. Effective disease resistance is essential for ensuring a high production quality and yield. One of the most severe fungal diseases of wheat is Septoria tritici blotch (STB), which influences wheat production across the world. In this study, genomewide association mapping was used to identify new chromosomal regions on the wheat genome conferring effective resistance towards STB. A winter wheat population of 164 North European varieties and breeding lines was genotyped with 15K single nucleotide polymorphism (SNP) wheat array. The varieties were evaluated for STB in field trials at three locations in Denmark and across 3 years. The association analysis revealed four quantitative trait loci, on chromosomes 1B, 2A, 5D and 7A, highly associated with STB resistance. By comparing varieties containing several quantitative trait loci (QTL) with varieties containing none of the found QTL, a significant difference was found in the mean disease score. This indicates that an effective resistance can be obtained by pyramiding several QTL.     

Investigation and genetic mapping of a Glomerella leaf spot resistance locus in apple

Apple Glomerella leaf spot (GLS) is a severe fungal disease that damages apple leaves during the summer in China. Breeding new apple varieties that are resistant to the disease is considered the best way of controlling GLS. Fine mapping and tightly linked marker are critically essential for the preselection of resistant seedlings. In this study, a population of 207 F₁ individuals derived from a cross between ‘Golden Delicious’ and ‘Fuji’ was used to construct a fine simple sequence repeat (SSR)‐based genetic linkage map. The position of R_gls, a locus responsible for resistance to GLS, was identified on apple linkage group (LG) 15 using SSR markers CH05g05 and CH01d08, which was adapted from a published set of 300 SSR markers that were developed using the bulked segregant analysis (BSA) method. These two SSR markers flanked the gene, and its recombination rate was 8.7% and 23.2%, respectively. A total of 276 newly developed SSR markers around the target region and designed from the genome apple assembly contig of LG15 were screened. Only nine of these were determined to be linked to the R_gls locus. Thus, a total of 11 SSR markers were in linkage with R_gls, and mapped at distances ranging from 0.5 to 33.8 cM. The closest marker to the R_gls locus was S0405127, which showed a genetic distance of approximately 0.5 cM. The first mapping of the gene R_gls was constructed, and the locations of the 11 effective primers in the ‘Golden Delicious’ apple genome sequence were anchored. This result facilitates better understanding of the molecular mechanisms underlying the trait of resistance to GLS and could be used in improving the breeding efficiency of GLS‐resistant apple varieties.     

Mapping and validation of the quantitative trait loci for leaf stay‐green‐associated parameters in maize

Functional stay‐green is generally regarded as a desirable trait of varieties in major crops including maize. In this study, we used an F_3:4 recombinant inbred line population with 165 lines from a cross between a stay‐green inbred line (Zheng58) and a model inbred line (B73) using 211 polymorphic simple sequence repeat markers to map quantitative trait loci for three stay‐green‐associated parameters, chlorophyll content, photosystem II photochemical efficiency and stay‐green area, at maturity stage, detected a total of 23 quantitative trait loci (QTL) on nine chromosomes. Single QTL explained 3.7–13.5% of the phenotypic variance. Additionally, we validated some important stay‐green QTL using a heterogeneous inbred family approach and found that the stay‐green‐associated parameters were significantly correlated with the plant yield. This study may contribute to a better insight into the regulatory mechanism behind leaf stay‐green in maize and a novel development of elite maize varieties with delayed leaf senescence through molecular marker‐assisted selection.     

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。     

Soybean plant height QTL mapping and meta‐analysis for mining candidate genes

Plant height is closely related to seed yield of soybean. The goal of this study was to identify important loci affecting soybean plant height using meta‐analysis based on a reference physical map. Plant height related to QTLs was mapped across eight years with a RIL population by WinQTLCart v2.5. 182 QTLs related to plant height of soybean from database and our research were collected, and each QTL was projected onto the soybean physical map by software BioMercator v2.1. The confidence interval of meta‐QTL ranged from 0.09 to 5.07 Mb, and the mean phenotypic variance ranged from 4.9% to 73.0%. Furthermore, 4,259 candidate genes were located in these consensus QTLs, and 40 of them were involved in the plant growth and stem elongation and annotated as plant hormone signal transduction (pathway ID ko04075) in KEGG pathway. These results would lay a foundation for fine mapping of QTLs/genes related to plant height and marker‐assisted selection for breeding in soybean.