Comparative transcriptome analyses and genome assembly of Fusarium oxysporum f. sp. Cubense

Fusarium oxysporum f. sp. cubense (Foc), the causal agent of Fusarium wilt of banana, is a highly destructive and genetically diverse pathogen. Despite its economic importance, genomic information about Foc is limited and no transcriptomic analyses have been reported so far. By using 454 sequencing...

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Published inActa horticulturae no. 986; pp. 165 - 168
Main Authors Dita, M.A, Herai, R, Waalwijk, C, Yamagishi, M, Giachetto, P, Ferreira, G, Souz, M, Kema, G.H.J
Format Journal Article
LanguageEnglish
Published International Society for Horticultural Science 01.01.2013
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Summary:Fusarium oxysporum f. sp. cubense (Foc), the causal agent of Fusarium wilt of banana, is a highly destructive and genetically diverse pathogen. Despite its economic importance, genomic information about Foc is limited and no transcriptomic analyses have been reported so far. By using 454 sequencing technology, we generated >2.5 million expressed sequenced tags (ESTs) from four Foc isolates representing different vegetative compatibility groups (VCGs) and races that infect banana: race 1 (R1, VCG unknown but different from the others here described), race 2 (R2, VCG 0124), subtropical race 4 (SR4, VCG 0120) and tropical race 4 (TR4, VCG 01213). The ESTs were obtained from libraries prepared from mRNA extracted from three physiological states (mycelium, conidia and germinated conidia), which were pooled in a 2:2:1 ratio. Most genes are represented in all libraries, but in silico comparative analyses identified a set of unique ESTs for each isolate (689 for R1, 974 for R2, 296 for SR4 and 555 for TR4), which are excellent candidates for diagnostics development, future plant-pathogen interaction studies and functional analyses. In subsequent analyses, a 40× sequencing-coverage (Illumina single reads) of TR4 genomic DNA was assembled in a de novo based methodology, resulting in a 45.5 Mb genome. Preliminary analyses show a high colinearity of EST and genomic data that significantly contributes to the quality of the assembly.
Bibliography:http://www.actahort.org/books/986/986_17.htm
ISSN:0567-7572
DOI:10.17660/actahortic.2013.986.17