Sansaloni Carolina, Franco Jorge, Santos Bruno, Percival-Alwyn Lawrence, Singh Sukhwinder, Petroli Cesar, Campos Jaime, Dreher Kate, Payne Thomas, Marshall David, Kilian Benjamin, Milne Iain, Raubach Sebastian, Shaw Paul, Stephen Gordon, Carling Jason, Pierre Carolina Saint, Burgueño Juan, Crosa José, Li HuiHui, Guzman Carlos, Kehel Zakaria, Amri Ahmed, Kilian Andrzej, Wenzl Peter, Uauy Cristobal, Banziger Marianne, Caccamo Mario, Pixley Kevin
Genetic Resources Program, International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45 El Batán, Texcoco, C.P., 56237, Mexico.
Departamento de Biometria y Estadística, Facultad de agronomía, Universidad de la República, Ruta 3, km 363, Paysandú, C.P., 60000, Uruguay.
Nat Commun. 2020 Sep 11;11(1):4572. doi: 10.1038/s41467-020-18404-w.
Undomesticated wild species, crop wild relatives, and landraces represent sources of variation for wheat improvement to address challenges from climate change and the growing human population. Here, we study 56,342 domesticated hexaploid, 18,946 domesticated tetraploid and 3,903 crop wild relatives in a massive-scale genotyping and diversity analysis. Using DArTseq technology, we identify more than 300,000 high-quality SNPs and SilicoDArT markers and align them to three reference maps: the IWGSC RefSeq v1.0 genome assembly, the durum wheat genome assembly (cv. Svevo), and the DArT genetic map. On average, 72% of the markers are uniquely placed on these maps and 50% are linked to genes. The analysis reveals landraces with unexplored diversity and genetic footprints defined by regions under selection. This provides fertile ground to develop wheat varieties of the future by exploring specific gene or chromosome regions and identifying germplasm conserving allelic diversity missing in current breeding programs.
未驯化的野生种、作物野生近缘种和地方品种代表了小麦改良的变异来源,以应对气候变化和不断增长的人口带来的挑战。在此,我们对56342份驯化六倍体、18946份驯化四倍体和3903份作物野生近缘种进行了大规模基因分型和多样性分析。利用DArTseq技术,我们鉴定出超过30万个高质量的单核苷酸多态性(SNP)和硅DArT标记,并将它们与三个参考图谱进行比对:国际小麦基因组测序联盟(IWGSC)参考序列v1.0基因组组装、硬粒小麦基因组组装(品种Svevo)和DArT遗传图谱。平均而言,72%的标记在这些图谱上被唯一定位,50%的标记与基因连锁。分析揭示了具有未开发多样性的地方品种以及由选择区域定义的遗传足迹。这为通过探索特定基因或染色体区域以及鉴定当前育种计划中缺失的保存等位基因多样性的种质来培育未来的小麦品种提供了肥沃的土壤。