Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Stuttgart, Germany.
Plant Cell Environ. 2020 Jun;43(6):1421-1436. doi: 10.1111/pce.13761. Epub 2020 Apr 7.
Environmental adaptation of crops is essential for reliable agricultural production and an important breeding objective. Genebanks provide genetic variation for the improvement of modern varieties, but the selection of suitable germplasm is frequently impeded by incomplete phenotypic data. We address this bottleneck by combining a Focused Identification of Germplasm Strategy (FIGS) with core collection methodology to select soybean (Glycine max) germplasm for Central European breeding from a collection of >17,000 accessions. By focussing on adaptation to high-latitude cold regions, we selected an "environmental precore" of 3,663 accessions using environmental data and compared the Donor opulation of Environments (DPE) in Asia and the Target Population of Environments (TPE) in Central Europe in the present and 2070. Using single nucleotide polymorphisms, we reduced the precore into two diverse core collections of 183 and 366 accessions to serve as diversity panels for evaluation in the TPE. Genetic differentiation between precore and non-precore accessions revealed genomic regions that control maturity, and novel candidate loci for environmental adaptation, demonstrating the potential of diversity panels for studying adaptation. Objective-driven core collections have the potential to increase germplasm utilization for abiotic adaptation by breeding for a rapidly changing climate, or de novo adaptation of crops to expand cultivation ranges.
作物的环境适应性对于可靠的农业生产至关重要,也是一个重要的育种目标。基因库为现代品种的改良提供了遗传变异,但由于不完全的表型数据,合适种质的选择经常受到阻碍。我们通过将焦点种质鉴定策略(FIGS)与核心收集方法相结合,从超过 17000 个品系中选择适合中欧育种的大豆(Glycine max)种质,从而解决了这一瓶颈。通过聚焦于对高纬度寒冷地区的适应性,我们使用环境数据选择了一个“环境核心前体”,包含 3663 个品系,并比较了亚洲的供体群体(DPE)和中欧的目标群体(TPE)在现在和 2070 年的情况。使用单核苷酸多态性,我们将前体缩小为两个多样化的核心收集,包含 183 和 366 个品系,作为在 TPE 中进行评估的多样性面板。前体和非前体品系之间的遗传分化揭示了控制成熟的基因组区域,以及新的环境适应候选基因座,这证明了多样性面板在研究适应性方面的潜力。目标驱动的核心收集有可能通过培育适应快速变化的气候或通过作物的从头适应来扩大种植范围,从而增加对非生物适应性的种质利用。