McClean Phillip E, Burridge Jimmy, Beebe Stephen, Rao Idupulapati M, Porch Timothy G
Genomics and Bioinformatics Program, North Dakota State University, Fargo, ND 58102, USA.
Department of Horticulture, Pennsylvania State University, University Park, PA 16802, USA.
Funct Plant Biol. 2011 Dec;38(12):927-933. doi: 10.1071/FP11102.
Climate change and global population increase are two converging forces that will jointly challenge researchers to design programs that ensure crop production systems meet the world's food demand. Climate change will potentially reduce productivity while a global population increase will require more food. If productivity is not improved for future climatic conditions, food insecurity may foster major economic and political uncertainty. Given the importance of grain legumes in general - common bean (Phaseolus vulgaris L.) in particular - a workshop entitled 'Improving Tolerance of Common Bean to Abiotic Stresses' was held with the goal of developing an interdisciplinary research agenda designed to take advantage of modern genotyping and breeding approaches that are coupled with large scale phenotyping efforts to improve common bean. Features of the program included a multinational phenotyping effort to evaluate the major common bean core germplasm collections and appropriate genetic populations. The phenotyping effort will emphasise the response of root and shoot traits to individual and combined stress conditions. These populations would also be genotyped using newly emerging high density single nucleotide polymorphism (SNP) marker arrays or next generation sequencing technology. Association analysis of the core collections aims to identify key loci associated with the response to the stress conditions. Companion bi-parental quantitative trait loci (QTL) experiments will act as confirmation experiments for the association analysis. The upcoming release of the genome sequence of common bean will be leveraged by utilising population genomic approaches to discover genomic regions that differentiate stress-responsive and non-responsive genotypes. The genome sequence will also enable global gene expression studies that will highlight specific molecular-based stress responses. This collective knowledge will inform the selection of parental lines to improve the efficiency of common bean improvement programs.
气候变化和全球人口增长是两种相互交织的力量，它们将共同挑战研究人员设计出确保作物生产系统满足全球粮食需求的方案。气候变化可能会降低生产力，而全球人口增长则需要更多的粮食。如果未来气候条件下生产力得不到提高，粮食不安全可能会引发重大的经济和政治不确定性。鉴于豆类作物总体上的重要性，尤其是普通菜豆（Phaseolus vulgaris L.），举办了一场题为“提高普通菜豆对非生物胁迫的耐受性”的研讨会，其目标是制定一项跨学科研究议程，旨在利用现代基因分型和育种方法，并结合大规模表型分析工作来改良普通菜豆。该计划的特点包括一项多国表型分析工作，以评估主要的普通菜豆核心种质资源库和合适的遗传群体。表型分析工作将重点关注根和地上部性状对单一和复合胁迫条件的反应。这些群体还将使用新出现的高密度单核苷酸多态性（SNP）标记阵列或下一代测序技术进行基因分型。对核心种质资源库的关联分析旨在识别与胁迫条件反应相关的关键基因座。配套的双亲数量性状位点（QTL）实验将作为关联分析的验证实验。通过利用群体基因组方法来发现区分胁迫响应型和非响应型基因型的基因组区域，将借助即将发布的普通菜豆基因组序列。基因组序列还将使全球基因表达研究成为可能，并突出基于特定分子的胁迫反应研究。这些综合知识将为亲本系的选择提供参考，以提高普通菜豆改良计划的效率
