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In silico mining of putative microsatellite markers from whole genome sequence of water buffalo (Bubalus bubalis) and development of first BuffSatDB

机译:在计算机上从水牛(Bubalus bubalis)的全基因组序列中推定微卫星标记并开发第一个BuffSatDB

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摘要

BackgroundThough India has sequenced water buffalo genome but its draft assembly is based on cattle genome BTau 4.0, thus de novo chromosome wise assembly is a major pending issue for global community. The existing radiation hybrid of buffalo and these reported STR can be used further in final gap plugging and “finishing” expected in de novo genome assembly. QTL and gene mapping needs mining of putative STR from buffalo genome at equal interval on each and every chromosome. Such markers have potential role in improvement of desirable characteristics, such as high milk yields, resistance to diseases, high growth rate. The STR mining from whole genome and development of user friendly database is yet to be done to reap the benefit of whole genome sequence.
机译:背景尽管印度已经对水牛的基因组进行了测序,但是其草案集基于牛基因组BTau 4.0,因此从头进行染色体明智的组装是全球社会面临的主要问题。现有的水牛辐射杂种和这些报道的STR可以进一步用于从头基因组组装中预期的最终缺口插入和“修饰”。 QTL和基因定位需要在每个染色体上以相等的间隔从水牛基因组中挖掘推定的STR。此类标记物在改善所需特性(如高产奶量,抗病性,高生长率)方面具有潜在作用。从全基因组中进行STR挖掘和开发用户友好数据库尚待获得全基因组序列的好处。

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