Literature DB >> 19207216

Single nucleotide polymorphism (SNP) discovery in the polyploid Brassica napus using Solexa transcriptome sequencing.

Martin Trick1, Yan Long, Jinling Meng, Ian Bancroft.   

Abstract

Oilseed rape (Brassica napus) was selected as an example of a polyploid crop, and the Solexa sequencing system was used to generate approximately 20 million expressed sequence tags (ESTs) from each of two cultivars: Tapidor and Ningyou 7. A methodology and computational tools were developed to exploit, as a reference sequence, a publicly available set of approximately 94,000 Brassica species unigenes. Sequences transcribed in the leaves of juvenile plants were aligned to approximately 26 Mb of the reference sequences. The aligned sequences enabled the detection of 23,330-41,593 putative single nucleotide polymorphisms (SNPs) between the cultivars, depending on the read depth stringency applied. The majority of the detected polymorphisms (87.5-91.2%) were of a type indicative of transcription from homoeologous genes from the two parental genomes within oilseed rape, and are termed here 'hemi-SNPs'. The overall estimated polymorphism rate (approximately 0.047%-0.084%) is consistent with that previously observed between the cultivars analysed. To demonstrate the heritability of SNPs and to assess their suitability for applications such as linkage map construction and association genetics, approximately nine million ESTs were generated, using the Solexa system, from each of four lines of a doubled haploid mapping population derived from a cross between Tapidor and Ningyou 7. Computational tools were developed to score the alleles present in these lines for each of the potential SNPs identified between their parents. For a specimen region of the genome analysed in detail, segregation of alleles largely, although not entirely, followed the pattern expected for genomic markers.

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Year:  2009        PMID: 19207216     DOI: 10.1111/j.1467-7652.2008.00396.x

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  154 in total

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2.  Genomic diversity in switchgrass (Panicum virgatum): from the continental scale to a dune landscape.

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Review 3.  Applications and challenges of next-generation sequencing in Brassica species.

Authors:  Lijuan Wei; Meili Xiao; Alice Hayward; Donghui Fu
Journal:  Planta       Date:  2013-09-24       Impact factor: 4.116

4.  A genome-wide association study reveals novel elite allelic variations in seed oil content of Brassica napus.

Authors:  Sheng Liu; Chuchuan Fan; Jiana Li; Guangqin Cai; Qingyong Yang; Jian Wu; Xinqi Yi; Chunyu Zhang; Yongming Zhou
Journal:  Theor Appl Genet       Date:  2016-02-25       Impact factor: 5.699

Review 5.  Gametic embryogenesis and haploid technology as valuable support to plant breeding.

Authors:  Maria Antonietta Germanà
Journal:  Plant Cell Rep       Date:  2011-03-24       Impact factor: 4.570

6.  Functional genomics by integrated analysis of transcriptome of sweet potato (Ipomoea batatas (L.) Lam.) during root formation.

Authors:  Sujung Kim; Hualin Nie; Byungki Jun; Jiseong Kim; Jeongeun Lee; Seungill Kim; Ekyune Kim; Sunhyung Kim
Journal:  Genes Genomics       Date:  2020-04-02       Impact factor: 1.839

7.  A Brassica rapa linkage map of EST-based SNP markers for identification of candidate genes controlling flowering time and leaf morphological traits.

Authors:  Feng Li; Hiroyasu Kitashiba; Kiyofumi Inaba; Takeshi Nishio
Journal:  DNA Res       Date:  2009-11-02       Impact factor: 4.458

8.  A Brassica exon array for whole-transcript gene expression profiling.

Authors:  Christopher G Love; Neil S Graham; Seosamh O Lochlainn; Helen C Bowen; Sean T May; Philip J White; Martin R Broadley; John P Hammond; Graham J King
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9.  Complexity of genome evolution by segmental rearrangement in Brassica rapa revealed by sequence-level analysis.

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Journal:  BMC Genomics       Date:  2009-11-18       Impact factor: 3.969

Review 10.  RNA-seq: from technology to biology.

Authors:  Samuel Marguerat; Jürg Bähler
Journal:  Cell Mol Life Sci       Date:  2009-10-27       Impact factor: 9.261

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