Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis

Leaf rust, caused by the fungus Puccinia triticina Erikss (Pt), is a destructive disease affecting wheat (Triticum aestivum L.) and a threat to food security. Developing resistant cultivars represents a useful method of disease control, and thus, understanding the genetic basis for leaf rust resista...

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Detalles Bibliográficos
Autores: Amo, Aduragbemi, Soriano, José Miguel
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:20.500.12327/1483
Acceso en línea:http://hdl.handle.net/20.500.12327/1483
https://doi.org/10.1002/tpg2.20185
Access Level:acceso abierto
Palabra clave:633
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spelling Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysisAmo, AduragbemiSoriano, José Miguel633Leaf rust, caused by the fungus Puccinia triticina Erikss (Pt), is a destructive disease affecting wheat (Triticum aestivum L.) and a threat to food security. Developing resistant cultivars represents a useful method of disease control, and thus, understanding the genetic basis for leaf rust resistance is required. To this end, a comprehensive bibliographic search for leaf rust resistance quantitative trait loci (QTL) was performed, and 393 QTL were collected from 50 QTL mapping studies. Afterward, a consensus map with a total length of 4,567 cM consisting of different types of markers (simple sequence repeat [SSR], diversity arrays technology [DArT], chip-based single-nucleotide polymorphism [SNP] markers, and SNP markers from genotyping-by-sequencing) was used for QTL projection, and meta-QTL (MQTL) analysis was performed on 320 QTL. A total of 75 MQTL were discovered and refined to 15 high-confidence MQTL (hcmQTL). The candidate genes discovered within the hcmQTL interval were then checked for differential expression using data from three transcriptome studies, resulting in 92 differentially expressed genes (DEGs). The expression of these genes in various leaf tissues during wheat development was explored. This study provides insight into leaf rust resistance in wheat and thereby provides an avenue for developing resistant cultivars by incorporating the most important hcmQTL.info:eu-repo/semantics/publishedVersionWiley Open AccessProducció VegetalCultius Extensius Sostenibles2021info:eu-repo/semantics/article21http://hdl.handle.net/20.500.12327/1483https://doi.org/10.1002/tpg2.20185reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésThe Plant GenomeMICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/PID2019-109089RB-C31/ES/MEJORA DE LA PRECISION Y EFICIENCIA EN LA SELECCION DE CARACTERES COMPLEJOS EN LA MEJORA DEL TRIGO EN AMBIENTES MEDITERRANEOS MEDIANTE SELECCION ASISTIDA Y SELECCION GENOMICA/Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:20.500.12327/14832026-05-29T05:05:01Z
dc.title.none.fl_str_mv Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis
title Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis
spellingShingle Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis
Amo, Aduragbemi
633
title_short Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis
title_full Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis
title_fullStr Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis
title_full_unstemmed Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis
title_sort Unravelling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis
dc.creator.none.fl_str_mv Amo, Aduragbemi
Soriano, José Miguel
author Amo, Aduragbemi
author_facet Amo, Aduragbemi
Soriano, José Miguel
author_role author
author2 Soriano, José Miguel
author2_role author
dc.contributor.none.fl_str_mv Producció Vegetal
Cultius Extensius Sostenibles
dc.subject.none.fl_str_mv 633
topic 633
description Leaf rust, caused by the fungus Puccinia triticina Erikss (Pt), is a destructive disease affecting wheat (Triticum aestivum L.) and a threat to food security. Developing resistant cultivars represents a useful method of disease control, and thus, understanding the genetic basis for leaf rust resistance is required. To this end, a comprehensive bibliographic search for leaf rust resistance quantitative trait loci (QTL) was performed, and 393 QTL were collected from 50 QTL mapping studies. Afterward, a consensus map with a total length of 4,567 cM consisting of different types of markers (simple sequence repeat [SSR], diversity arrays technology [DArT], chip-based single-nucleotide polymorphism [SNP] markers, and SNP markers from genotyping-by-sequencing) was used for QTL projection, and meta-QTL (MQTL) analysis was performed on 320 QTL. A total of 75 MQTL were discovered and refined to 15 high-confidence MQTL (hcmQTL). The candidate genes discovered within the hcmQTL interval were then checked for differential expression using data from three transcriptome studies, resulting in 92 differentially expressed genes (DEGs). The expression of these genes in various leaf tissues during wheat development was explored. This study provides insight into leaf rust resistance in wheat and thereby provides an avenue for developing resistant cultivars by incorporating the most important hcmQTL.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12327/1483
https://doi.org/10.1002/tpg2.20185
url http://hdl.handle.net/20.500.12327/1483
https://doi.org/10.1002/tpg2.20185
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv The Plant Genome
MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/PID2019-109089RB-C31/ES/MEJORA DE LA PRECISION Y EFICIENCIA EN LA SELECCION DE CARACTERES COMPLEJOS EN LA MEJORA DEL TRIGO EN AMBIENTES MEDITERRANEOS MEDIANTE SELECCION ASISTIDA Y SELECCION GENOMICA/
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 21
dc.publisher.none.fl_str_mv Wiley Open Access
publisher.none.fl_str_mv Wiley Open Access
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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