02531naa a2200289 a 450000100080000000500110000800800410001902200140006002400360007410000130011024502080012326000090033150006240034052009790096465300240194365300140196765300120198165300260199365300110201965300140203065300120204470000200205670000160207670000180209270000230211077301080213310628332022-10-05       2022    bl uuuu     u00u1 u    #d  a1471-21647 a10.1186/s12864-022-08413-y2DOI1 aMENA, E.  aComparative genomics of plant pathogenic Diaporthe species and transcriptomics of Diaporthe caulivora during host infection reveal insights into pathogenic strategies of the genus.h[electronic resource]  c2022  aArticle history: Received 21 October 2021; Accepted 23 February 2022; Published 03 March 2022. This work was funded by "Agencia Nacional de Investigación e Innovación (ANII) (grant RTS-1-2014, and graduate fellowship)" Uruguay, "Programa de Desarrollo de las Ciencias Básicas (PEDECIBA)" Uruguay, and "Programa para Grupo de I + D Comisión Sectorial de Investigación Científica, Universidad de la República", Uruguay. Author information: Eilyn Mena and Silvia Garaycochea contributed equally to this work. Supplementary Information: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-022-08413-y#Sec14  aABSTRACT. - Background: Diaporthe caulivora is a fungal pathogen causing stem canker in soybean worldwide. The generation of genomic and transcriptomic information of this ascomycete, together with a comparative genomic approach with other pathogens of this genus, will contribute to get insights into the molecular basis of pathogenicity strategies used by D. caulivora and other Diaporthe species. Results: In the present work, the nuclear genome of D. caulivora isolate (D57) was resolved, and a comprehensive annotation based on gene expression and genomic analysis is provided. Diaporthe caulivora D57 has an estimated size of 57,86?Mb and contains 18,385 predicted protein-coding genes, from which 1501 encode predicted secreted proteins. A large array of D. caulivora genes encoding secreted pathogenicity-related proteins was identified, including carbohydrate-active enzymes (CAZymes), necrosis-inducing proteins, oxidoreductases, proteases and effector candidates.  aDiaporthe pathogens  aEffectors  aGenomes  aPathogenicity factors  aRNAseq  aSecretome  aSoybean1 aGARAYCOCHEA, S.1 aSTEWART, S.1 aMONTESANO, M.1 aPONCE DE LEÓN, I.  tBMC Genomics, 2022, volume 23, no. 1, 175. OPEN ACCESS. doi: https://doi.org/10.1186/s12864-022-08413-y