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基于变异块的作物基因组学方法。

Variation block-based genomics method for crop plants.

作者信息

Kim Yul Ho, Park Hyang Mi, Hwang Tae-Young, Lee Seuk Ki, Choi Man Soo, Jho Sungwoong, Hwang Seungwoo, Kim Hak-Min, Lee Dongwoo, Kim Byoung-Chul, Hong Chang Pyo, Cho Yun Sung, Kim Hyunmin, Jeong Kwang Ho, Seo Min Jung, Yun Hong Tai, Kim Sun Lim, Kwon Young-Up, Kim Wook Han, Chun Hye Kyung, Lim Sang Jong, Shin Young-Ah, Choi Ik-Young, Kim Young Sun, Yoon Ho-Sung, Lee Suk-Ha, Lee Sunghoon

机构信息

National Institute of Crop Science, Rural Development Administration, Suwon 441-857, Republic of Korea.

出版信息

BMC Genomics. 2014 Jun 15;15:477. doi: 10.1186/1471-2164-15-477.

Abstract

BACKGROUND

In contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for the screening of target loci for agricultural traits.

RESULTS

We propose the variation block method, which is a three-step process for recombination block detection and comparison. The first step is to detect variations by comparing the short-read DNA sequences of the cultivar to the reference genome of the target crop. Next, sequence blocks with variation patterns are examined and defined. The boundaries between the variation-containing sequence blocks are regarded as recombination sites. All the assumed recombination sites in the cultivar set are used to split the genomes, and the resulting sequence regions are termed variation blocks. Finally, the genomes are compared using the variation blocks. The variation block method identified recurring recombination blocks accurately and successfully represented block-level diversities in the publicly available genomes of 31 soybean and 23 rice accessions. The practicality of this approach was demonstrated by the identification of a putative locus determining soybean hilum color.

CONCLUSIONS

We suggest that the variation block method is an efficient genomics method for the recombination block-level comparison of crop genomes. We expect that this method will facilitate the development of crop genomics by bringing genomics technologies to the field of crop breeding.

摘要

背景

与野生种相比,栽培作物基因组由通过杂交和选择过程产生的重新排列的重组块组成。因此,基于重组块的基因组学分析可能是筛选农业性状目标基因座的有效方法。

结果

我们提出了变异块法,这是一种用于重组块检测和比较的三步过程。第一步是通过将栽培品种的短读长DNA序列与目标作物的参考基因组进行比较来检测变异。接下来,检查并定义具有变异模式的序列块。包含变异的序列块之间的边界被视为重组位点。品种集中所有假定的重组位点用于分割基因组,所得的序列区域称为变异块。最后,使用变异块对基因组进行比较。变异块法准确地识别了反复出现的重组块,并成功地在31个大豆和23个水稻品种的公开可用基因组中呈现了块级多样性。通过鉴定一个决定大豆种脐颜色的假定基因座证明了该方法的实用性。

结论

我们认为变异块法是一种用于作物基因组重组块水平比较的有效基因组学方法。我们期望这种方法将通过将基因组学技术引入作物育种领域来促进作物基因组学的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/060d/4229737/d06bf9da276e/1471-2164-15-477-1.jpg

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