Dataset Information

Improvement of the banana "Musa acuminata" reference sequence using NGS data and semi-automated bioinformatics methods.

ABSTRACT: Recent advances in genomics indicate functional significance of a majority of genome sequences and their long range interactions. As a detailed examination of genome organization and function requires very high quality genome sequence, the objective of this study was to improve reference genome assembly of banana (Musa acuminata).We have developed a modular bioinformatics pipeline to improve genome sequence assemblies, which can handle various types of data. The pipeline comprises several semi-automated tools. However, unlike classical automated tools that are based on global parameters, the semi-automated tools proposed an expert mode for a user who can decide on suggested improvements through local compromises. The pipeline was used to improve the draft genome sequence of Musa acuminata. Genotyping by sequencing (GBS) of a segregating population and paired-end sequencing were used to detect and correct scaffold misassemblies. Long insert size paired-end reads identified scaffold junctions and fusions missed by automated assembly methods. GBS markers were used to anchor scaffolds to pseudo-molecules with a new bioinformatics approach that avoids the tedious step of marker ordering during genetic map construction. Furthermore, a genome map was constructed and used to assemble scaffolds into super scaffolds. Finally, a consensus gene annotation was projected on the new assembly from two pre-existing annotations. This approach reduced the total Musa scaffold number from 7513 to 1532 (i.e. by 80%), with an N50 that increased from 1.3 Mb (65 scaffolds) to 3.0 Mb (26 scaffolds). 89.5% of the assembly was anchored to the 11 Musa chromosomes compared to the previous 70%. Unknown sites (N) were reduced from 17.3 to 10.0%.The release of the Musa acuminata reference genome version 2 provides a platform for detailed analysis of banana genome variation, function and evolution. Bioinformatics tools developed in this work can be used to improve genome sequence assemblies in other species.

SUBMITTER: Martin G

PROVIDER: S-EPMC4793746 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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Improvement of the banana "Musa acuminata" reference sequence using NGS data and semi-automated bioinformatics methods.

Martin Guillaume G Baurens Franc-Christophe FC Droc Gaëtan G Rouard Mathieu M Cenci Alberto A Kilian Andrzej A Hastie Alex A Doležel Jaroslav J Aury Jean-Marc JM Alberti Adriana A Carreel Françoise F D'Hont Angélique A

BMC genomics 20160316

<h4>Background</h4>Recent advances in genomics indicate functional significance of a majority of genome sequences and their long range interactions. As a detailed examination of genome organization and function requires very high quality genome sequence, the objective of this study was to improve reference genome assembly of banana (Musa acuminata).<h4>Results</h4>We have developed a modular bioinformatics pipeline to improve genome sequence assemblies, which can handle various types of data. Th ...[more]

PMID: 26984673

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Project description:BACKGROUND: Bananas and plantains (Musa spp.) are grown in more than a hundred tropical and subtropical countries and provide staple food for hundreds of millions of people. They are seed-sterile crops propagated clonally and this makes them vulnerable to a rapid spread of devastating diseases and at the same time hampers breeding improved cultivars. Although the socio-economic importance of bananas and plantains cannot be overestimated, they remain outside the focus of major research programs. This slows down the study of nuclear genome and the development of molecular tools to facilitate banana improvement. RESULTS: In this work, we report on the first thorough characterization of the repeat component of the banana (M. acuminata cv. 'Calcutta 4') genome. Analysis of almost 100 Mb of sequence data (0.15× genome coverage) permitted partial sequence reconstruction and characterization of repetitive DNA, making up about 30% of the genome. The results showed that the banana repeats are predominantly made of various types of Ty1/copia and Ty3/gypsy retroelements representing 16 and 7% of the genome respectively. On the other hand, DNA transposons were found to be rare. In addition to new families of transposable elements, two new satellite repeats were discovered and found useful as cytogenetic markers. To help in banana sequence annotation, a specific Musa repeat database was created, and its utility was demonstrated by analyzing the repeat composition of 62 genomic BAC clones. CONCLUSION: A low-depth 454 sequencing of banana nuclear genome provided the largest amount of DNA sequence data available until now for Musa and permitted reconstruction of most of the major types of DNA repeats. The information obtained in this study improves the knowledge of the long-range organization of banana chromosomes, and provides sequence resources needed for repeat masking and annotation during the Musa genome sequencing project. It also provides sequence data for isolation of DNA markers to be used in genetic diversity studies and in marker-assisted selection.

Dataset Information

Improvement of the banana "Musa acuminata" reference sequence using NGS data and semi-automated bioinformatics methods.

Publications

Improvement of the banana "Musa acuminata" reference sequence using NGS data and semi-automated bioinformatics methods.

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