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A study on relative abundance, composition and length variation of microsatellites in 18 underutilized crop species

机译:18种未充分利用作物中微卫星的相对丰度,组成和长度变化的研究

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In the present work, genomic DNA libraries for 18 underutilized crop species (including 11 dicot and 7 monocot species) were enriched for several di- and tri- nucleotide microsatellites by using an optimized procedure. About 500-960 clones from each library were sequenced and all the sequences were characterized to have a comparative look on relative abundance, composition and length variations of perfect microsatellites among different crops. Sequence analysis revealed contrasting differences in the abundance of di- and tri-nucleotide microsatellites with the predominance of tri-nucleotide microsatellites in 11 crops and that of di-nucleotides in other 8 crops. Among di-nucleotide microsatellites, AG/GA class was the most abundant in all the crops except for four crops in which AC/CA class was predominant. Among tri-nucleotide repeats, AGC/GCA/CAG class was the most abundant in eight crops followed by AGG/GGA/GAG class in four crops, whereas in the remaining six crops, the most abundant class was highly variable. The longest di- and tri-nucleotide repeats were observed in Chinese cabbage and mungbean with the average lengths of 70 and 57 base pairs, respectively. These observations revealed species-specific in the distributions of microsatellite repeat motifs. The present study provides highly valuable information that can be useful in targeted development of specific microsatellites markers for genetic analysis of these underutilized crops.
机译:在目前的工作中,通过使用优化的程序,丰富了18种未充分利用的农作物物种(包括11个双子叶植物和7个单子叶植物物种)的基因组DNA文库,以包含几个二核苷酸和三核苷酸微卫星。对每个文库的约500-960个克隆进行测序,并对所有序列进行表征,以比较不同作物之间完美微卫星的相对丰度,组成和长度变化。序列分析表明,在11种作物中,二核苷酸和三核苷酸微卫星的丰度与三核苷酸微卫星的优势形成对比,而在其他八种作物中,二核苷酸的优势则不同。在二核苷酸微卫星中,AG / GA类在所有农作物中含量最高,只有四种以AC / CA类为主的作物。在三核苷酸重复序列中,AGC / GCA / CAG类在八种作物中最丰富,其次是AGG / GGA / GAG类在四种作物中,而在其余六种作物中,最丰富的类变化很大。在大白菜和绿豆中观察到最长的二核苷酸和三核苷酸重复序列,平均长度分别为70和57个碱基对。这些观察结果揭示了微卫星重复基序分布中的物种特异性。本研究提供了极有价值的信息,可用于有针对性的开发特定微卫星标记,以对这些未充分利用的作物进行遗传分析。

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