The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix

Detalhes bibliográficos
Autor(a) principal: Guerra-Guimarães, Leonor
Data de Publicação: 2023
Outros Autores: Pinheiro, Carla, Oliveira, Ana Sofia F., Mira-Jover, Andrea, Valverde, Javier, Guedes, Fernanda A. de F., Azevedo, Herlander, Várzea, Vitor, Muñoz Pajares, Antonio Jesús
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/159277
Resumo: This work was funded by Portuguese national funds through FCT—Fundação para a Ciência e Tecnologia, I.P., under the Projects: UID/AGR/04129/2020 of LEAF; A.O. was supported at the University of Bristol by Oracle for Research and the Biological and Biotechnological Sciences Research Council ([BB/X009831/1] and [BBW003449/1]). All molecular modelling work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol (http://www.bris.ac.uk/acrc). Publisher Copyright: © 2023, Springer Nature Limited.
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spelling The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrixGeneralThis work was funded by Portuguese national funds through FCT—Fundação para a Ciência e Tecnologia, I.P., under the Projects: UID/AGR/04129/2020 of LEAF; A.O. was supported at the University of Bristol by Oracle for Research and the Biological and Biotechnological Sciences Research Council ([BB/X009831/1] and [BBW003449/1]). All molecular modelling work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol (http://www.bris.ac.uk/acrc). Publisher Copyright: © 2023, Springer Nature Limited.To explore the connection between chloroplast and coffee resistance factors, designated as SH1 to SH9, whole genomic DNA of 42 coffee genotypes was sequenced, and entire chloroplast genomes were de novo assembled. The chloroplast phylogenetic haplotype network clustered individuals per species instead of SH factors. However, for the first time, it allowed the molecular validation of Coffea arabica as the maternal parent of the spontaneous hybrid “Híbrido de Timor”. Individual reads were also aligned on the C. arabica reference genome to relate SH factors with chloroplast metabolism, and an in-silico analysis of selected nuclear-encoded chloroplast proteins (132 proteins) was performed. The nuclear-encoded thioredoxin-like membrane protein HCF164 enabled the discrimination of individuals with and without the SH9 factor, due to specific DNA variants linked to chromosome 7c (from C. canephora-derived sub-genome). The absence of both the thioredoxin domain and redox-active disulphide center in the HCF164 protein, observed in SH9 individuals, raises the possibility of potential implications on redox regulation. For the first time, the identification of specific DNA variants of chloroplast proteins allows discriminating individuals according to the SH profile. This study introduces an unexplored strategy for identifying protein/genes associated with SH factors and candidate targets of H. vastatrix effectors, thereby creating new perspectives for coffee breeding programs.DCV - Departamento de Ciências da VidaUCIBIO - Applied Molecular Biosciences UnitRUNGuerra-Guimarães, LeonorPinheiro, CarlaOliveira, Ana Sofia F.Mira-Jover, AndreaValverde, JavierGuedes, Fernanda A. de F.Azevedo, HerlanderVárzea, VitorMuñoz Pajares, Antonio Jesús2023-10-25T22:20:25Z2023-122023-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://hdl.handle.net/10362/159277eng2045-2322PURE: 73461010https://doi.org/10.1038/s41598-023-41950-4info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:41:43Zoai:run.unl.pt:10362/159277Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:28.197513Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix
title The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix
spellingShingle The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix
Guerra-Guimarães, Leonor
General
title_short The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix
title_full The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix
title_fullStr The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix
title_full_unstemmed The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix
title_sort The chloroplast protein HCF164 is predicted to be associated with Coffea SH9 resistance factor against Hemileia vastatrix
author Guerra-Guimarães, Leonor
author_facet Guerra-Guimarães, Leonor
Pinheiro, Carla
Oliveira, Ana Sofia F.
Mira-Jover, Andrea
Valverde, Javier
Guedes, Fernanda A. de F.
Azevedo, Herlander
Várzea, Vitor
Muñoz Pajares, Antonio Jesús
author_role author
author2 Pinheiro, Carla
Oliveira, Ana Sofia F.
Mira-Jover, Andrea
Valverde, Javier
Guedes, Fernanda A. de F.
Azevedo, Herlander
Várzea, Vitor
Muñoz Pajares, Antonio Jesús
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv DCV - Departamento de Ciências da Vida
UCIBIO - Applied Molecular Biosciences Unit
RUN
dc.contributor.author.fl_str_mv Guerra-Guimarães, Leonor
Pinheiro, Carla
Oliveira, Ana Sofia F.
Mira-Jover, Andrea
Valverde, Javier
Guedes, Fernanda A. de F.
Azevedo, Herlander
Várzea, Vitor
Muñoz Pajares, Antonio Jesús
dc.subject.por.fl_str_mv General
topic General
description This work was funded by Portuguese national funds through FCT—Fundação para a Ciência e Tecnologia, I.P., under the Projects: UID/AGR/04129/2020 of LEAF; A.O. was supported at the University of Bristol by Oracle for Research and the Biological and Biotechnological Sciences Research Council ([BB/X009831/1] and [BBW003449/1]). All molecular modelling work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol (http://www.bris.ac.uk/acrc). Publisher Copyright: © 2023, Springer Nature Limited.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-25T22:20:25Z
2023-12
2023-12-01T00:00:00Z
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PURE: 73461010
https://doi.org/10.1038/s41598-023-41950-4
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