4.8 Article

Comparative BAC-based physical mapping of Oryza sativa ssp. indica var. 93-11 and evaluation of the two rice reference sequence assemblies

期刊

PLANT JOURNAL
卷 77, 期 5, 页码 795-805

出版社

WILEY
DOI: 10.1111/tpj.12412

关键词

BAC; technical advance; Nipponbare; 93-11; rice; physical map; reference sequence

资金

  1. National Natural Science Foundation of China [30971748]
  2. Chinese 111 Project [B07041]

向作者/读者索取更多资源

Reference sequences are sequences that are used for public consultation, and therefore must be of high quality. Using the whole-genome shotgun/next-generation sequencing approach, many genome sequences of complex higher plants have been generated in recent years, and are generally considered reference sequences. However, none of these sequences has been experimentally evaluated at the whole-genome sequence assembly level. Rice has a relatively simple plant genome, and the genome sequences for its two sub-species obtained using different sequencing approaches were published approximately 10years ago. This provides a unique system for a case study to evaluate the qualities and utilities of published plant genome sequences. We constructed a robust BAC physical map embedding a large number of BAC end sequences forrice variety 93-11. Through BAC end sequence alignments and tri-assembly comparisons of the 93-11 physical map and the two reference sequences, we found that the Nipponbare reference sequence generated using the clone-by-clone approach has a high quality but still contains small artifact inversions and missing sequences. In contrast, the 93-11 reference sequence generated using the whole-genome shotgun approach contains many large and varied assembly errors, such as inversions, duplications and translocations, as well as missing sequences. The 93-11 physical map provides an invaluable resource for evaluation and improvements toward completion of both Nipponbare and 93-11 reference sequences.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据