Dataset Information

De novo genome assembly of Oryza granulata reveals rapid genome expansion and adaptive evolution.

ABSTRACT: The wild relatives of rice have adapted to different ecological environments and constitute a useful reservoir of agronomic traits for genetic improvement. Here we present the ~777?Mb de novo assembled genome sequence of Oryza granulata. Recent bursts of long-terminal repeat retrotransposons, especially RIRE2, led to a rapid twofold increase in genome size after O. granulata speciation. Universal centromeric tandem repeats are absent within its centromeres, while gypsy-type LTRs constitute the main centromere-specific repetitive elements. A total of 40,116 protein-coding genes were predicted in O. granulata, which is close to that of Oryza sativa. Both the copy number and function of genes involved in photosynthesis and energy production have undergone positive selection during the evolution of O. granulata, which might have facilitated its adaptation to the low light habitats. Together, our findings reveal the rapid genome expansion, distinctive centromere organization, and adaptive evolution of O. granulata.

SUBMITTER: Wu Z

PROVIDER: S-EPMC6123737 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

De novo genome assembly of Oryza granulata reveals rapid genome expansion and adaptive evolution.

Wu Zhigang Z Fang Dongming D Yang Rui R Gao Fei F An Xingyu X Zhuo Xiaoxuan X Li Yafei Y Yi Chuandeng C Zhang Tao T Liang Chengzhi C Cui Peng P Cheng Zhukuan Z Luo Qiong Q

Communications biology 20180629

The wild relatives of rice have adapted to different ecological environments and constitute a useful reservoir of agronomic traits for genetic improvement. Here we present the ~777 Mb de novo assembled genome sequence of Oryza granulata. Recent bursts of long-terminal repeat retrotransposons, especially RIRE2, led to a rapid twofold increase in genome size after O. granulata speciation. Universal centromeric tandem repeats are absent within its centromeres, while gypsy</i ...[more]

PMID: 30271965

Similar Datasets

Project description:MotivationThere are very few methods for de novo genome assembly based on the overlap graph approach. It is considered as giving more exact results than the so-called de Bruijn graph approach but in much greater time and of much higher memory usage. It is not uncommon that assembly methods involving the overlap graph model are not able to successfully compute greater data sets, mainly due to memory limitation of a computer. This was the reason for developing in last decades mainly de Bruijn-based assembly methods, fast and fairly accurate. However, the latter methods can fail for longer or more repetitive genomes, as they decompose reads to shorter fragments and lose a part of information. An efficient assembler for processing big data sets and using the overlap graph model is still looked out.ResultsWe propose a new genome-scale de novo assembler based on the overlap graph approach, designed for short-read sequencing data. The method, ALGA, incorporates several new ideas resulting in more exact contigs produced in short time. Among these ideas we have creation of a sparse but quite informative graph, reduction of the graph including a procedure referring to the problem of minimum spanning tree of a local subgraph, and graph traversal connected with simultaneous analysis of contigs stored so far. What is rare in genome assembly, the algorithm is almost parameter-free, with only one optional parameter to be set by a user. ALGA was compared with nine state-of-the-art assemblers in tests on genome-scale sequencing data obtained from real experiments on six organisms, differing in size, coverage, GC content, and repetition rate. ALGA produced best results in the sense of overall quality of genome reconstruction, understood as a good balance between genome coverage, accuracy, and length of resulting sequences. The algorithm is one of tools involved in processing data in currently realized national project Genomic Map of Poland.AvailabilityALGA is available at http://alga.put.poznan.pl.Supplementary informationSupplementary material is available at Bioinformatics online.

Project description:BackgroundDe novo genome sequencing of previously uncharacterized microorganisms has the potential to open up new frontiers in microbial genomics by providing insight into both functional capabilities and biodiversity. Until recently, Roche 454 pyrosequencing was the NGS method of choice for de novo assembly because it generates hundreds of thousands of long reads (<450 bps), which are presumed to aid in the analysis of uncharacterized genomes. The array of tools for processing NGS data are increasingly free and open source and are often adopted for both their high quality and role in promoting academic freedom.ResultsThe error rate of pyrosequencing the Alcanivorax borkumensis genome was such that thousands of insertions and deletions were artificially introduced into the finished genome. Despite a high coverage (~30 fold), it did not allow the reference genome to be fully mapped. Reads from regions with errors had low quality, low coverage, or were missing. The main defect of the reference mapping was the introduction of artificial indels into contigs through lower than 100% consensus and distracting gene calling due to artificial stop codons. No assembler was able to perform de novo assembly comparable to reference mapping. Automated annotation tools performed similarly on reference mapped and de novo draft genomes, and annotated most CDSs in the de novo assembled draft genomes.ConclusionsFree and open source software (FOSS) tools for assembly and annotation of NGS data are being developed rapidly to provide accurate results with less computational effort. Usability is not high priority and these tools currently do not allow the data to be processed without manual intervention. Despite this, genome assemblers now readily assemble medium short reads into long contigs (>97-98% genome coverage). A notable gap in pyrosequencing technology is the quality of base pair calling and conflicting base pairs between single reads at the same nucleotide position. Regardless, using draft whole genomes that are not finished and remain fragmented into tens of contigs allows one to characterize unknown bacteria with modest effort.

Dataset Information

De novo genome assembly of Oryza granulata reveals rapid genome expansion and adaptive evolution.

Publications

De novo genome assembly of <i>Oryza granulata</i> reveals rapid genome expansion and adaptive evolution.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets