Centre for Agricultural Bioinformatics, ICAR-IASRI, New Delhi, India.
ICAR-National Research Centre on Plant Biotechnology, New Delhi, India.
Sci Rep. 2017 Nov 2;7(1):14968. doi: 10.1038/s41598-017-14998-2.
Mango is one of the most important fruits of tropical ecological region of the world, well known for its nutritive value, aroma and taste. Its world production is >45MT worth >200 billion US dollars. Genomic resources are required for improvement in productivity and management of mango germplasm. There is no web-based genomic resources available for mango. Hence rapid and cost-effective high throughput putative marker discovery is required to develop such resources. RAD-based marker discovery can cater this urgent need till whole genome sequence of mango becomes available. Using a panel of 84 mango varieties, a total of 28.6 Gb data was generated by ddRAD-Seq approach on Illumina HiSeq 2000 platform. A total of 1.25 million SNPs were discovered. Phylogenetic tree using 749 common SNPs across these varieties revealed three major lineages which was compared with geographical locations. A web genomic resources MiSNPDb, available at http://webtom.cabgrid.res.in/mangosnps/ is based on 3-tier architecture, developed using PHP, MySQL and Javascript. This web genomic resources can be of immense use in the development of high density linkage map, QTL discovery, varietal differentiation, traceability, genome finishing and SNP chip development for future GWAS in genomic selection program. We report here world's first web-based genomic resources for genetic improvement and germplasm management of mango.
芒果是世界热带生态区最重要的水果之一,以其营养价值、香气和口感而闻名。全球芒果产量超过 4500 万吨,价值超过 2000 亿美元。为了提高芒果的生产力和管理其种质资源,需要基因组资源。目前还没有基于网络的芒果基因组资源。因此,需要快速、经济高效的高通量候选标记发现方法来开发这些资源。RAD 标记发现可以满足这一迫切需求,直到芒果的全基因组序列可用。利用 84 个芒果品种的小组,通过 Illumina HiSeq 2000 平台上的 ddRAD-Seq 方法共生成了 28.6 Gb 的数据。共发现了 125 万个 SNP。使用这些品种共有的 749 个常见 SNP 构建的系统发育树揭示了三个主要谱系,与地理位置进行了比较。MiSNPDb 是一个基于 3 层架构的网络基因组资源,使用 PHP、MySQL 和 JavaScript 开发,可在 http://webtom.cabgrid.res.in/mangosnps/ 上访问。该网络基因组资源可用于开发高密度连锁图谱、QTL 发现、品种分化、可追溯性、基因组完成和 SNP 芯片,以支持未来的基因组选择计划中的 GWAS。我们在这里报告了世界上第一个用于芒果遗传改良和种质资源管理的基于网络的基因组资源。