Cargando…

Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation

Striga is an important biotic factor limiting maize production in sub-Saharan Africa and can cause yield losses as high as 100%. Marker-assisted selection (MAS) approaches hold a great potential for improving Striga resistance but requires identification and use of markers associated with Striga res...

Descripción completa

Detalles Bibliográficos
Autores principales: Badu-Apraku, Baffour, Adewale, Samuel, Paterne, Agre Angelot, Gedil, Melaku, Toyinbo, Johnson, Asiedu, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7489516/
https://www.ncbi.nlm.nih.gov/pubmed/32925954
http://dx.doi.org/10.1371/journal.pone.0239205
_version_ 1783581868664291328
author Badu-Apraku, Baffour
Adewale, Samuel
Paterne, Agre Angelot
Gedil, Melaku
Toyinbo, Johnson
Asiedu, Robert
author_facet Badu-Apraku, Baffour
Adewale, Samuel
Paterne, Agre Angelot
Gedil, Melaku
Toyinbo, Johnson
Asiedu, Robert
author_sort Badu-Apraku, Baffour
collection PubMed
description Striga is an important biotic factor limiting maize production in sub-Saharan Africa and can cause yield losses as high as 100%. Marker-assisted selection (MAS) approaches hold a great potential for improving Striga resistance but requires identification and use of markers associated with Striga resistance for adequate genetic gains from selection. However, there is no report on the discovery of quantitative trait loci (QTL) for resistance to Striga in maize under artificial field infestation. In the present study, 198 BC(1)S(1) families obtained from a cross involving TZEEI 29 (Striga resistant inbred line) and TZEEI 23 (Striga susceptible inbred line) plus the two parental lines were screened under artificial Striga-infested conditions at two Striga-endemic locations in Nigeria in 2018, to identify QTL associated with Striga resistance indicator traits, including grain yield, ears per plant, Striga damage and number of emerged Striga plants. Genetic map was constructed using 1,386 DArTseq markers distributed across the 10 maize chromosomes, covering 2076 cM of the total genome with a mean spacing of 0.11 cM between the markers. Using composite interval mapping (CIM), fourteen QTL were identified for key Striga resistance/tolerance indicator traits: 3 QTL for grain yield, 4 for ears per plant and 7 for Striga damage at 10 weeks after planting (WAP), across environments. Putative candidate genes which encode major transcription factor families WRKY, bHLH, AP2-EREBPs, MYB, and bZIP involved in plant defense signaling were detected for Striga resistance/tolerance indicator traits. The QTL detected in the present study would be useful for rapid transfer of Striga resistance/tolerance genes into Striga susceptible but high yielding maize genotypes using MAS approaches after validation. Further studies on validation of the QTL in different genetic backgrounds and in different environments would help verify their reproducibility and effective use in breeding for Striga resistance/tolerance.
format Online
Article
Text
id pubmed-7489516
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-74895162020-09-22 Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation Badu-Apraku, Baffour Adewale, Samuel Paterne, Agre Angelot Gedil, Melaku Toyinbo, Johnson Asiedu, Robert PLoS One Research Article Striga is an important biotic factor limiting maize production in sub-Saharan Africa and can cause yield losses as high as 100%. Marker-assisted selection (MAS) approaches hold a great potential for improving Striga resistance but requires identification and use of markers associated with Striga resistance for adequate genetic gains from selection. However, there is no report on the discovery of quantitative trait loci (QTL) for resistance to Striga in maize under artificial field infestation. In the present study, 198 BC(1)S(1) families obtained from a cross involving TZEEI 29 (Striga resistant inbred line) and TZEEI 23 (Striga susceptible inbred line) plus the two parental lines were screened under artificial Striga-infested conditions at two Striga-endemic locations in Nigeria in 2018, to identify QTL associated with Striga resistance indicator traits, including grain yield, ears per plant, Striga damage and number of emerged Striga plants. Genetic map was constructed using 1,386 DArTseq markers distributed across the 10 maize chromosomes, covering 2076 cM of the total genome with a mean spacing of 0.11 cM between the markers. Using composite interval mapping (CIM), fourteen QTL were identified for key Striga resistance/tolerance indicator traits: 3 QTL for grain yield, 4 for ears per plant and 7 for Striga damage at 10 weeks after planting (WAP), across environments. Putative candidate genes which encode major transcription factor families WRKY, bHLH, AP2-EREBPs, MYB, and bZIP involved in plant defense signaling were detected for Striga resistance/tolerance indicator traits. The QTL detected in the present study would be useful for rapid transfer of Striga resistance/tolerance genes into Striga susceptible but high yielding maize genotypes using MAS approaches after validation. Further studies on validation of the QTL in different genetic backgrounds and in different environments would help verify their reproducibility and effective use in breeding for Striga resistance/tolerance. Public Library of Science 2020-09-14 /pmc/articles/PMC7489516/ /pubmed/32925954 http://dx.doi.org/10.1371/journal.pone.0239205 Text en © 2020 Badu-Apraku et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Badu-Apraku, Baffour
Adewale, Samuel
Paterne, Agre Angelot
Gedil, Melaku
Toyinbo, Johnson
Asiedu, Robert
Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation
title Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation
title_full Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation
title_fullStr Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation
title_full_unstemmed Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation
title_short Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation
title_sort identification of qtls for grain yield and other traits in tropical maize under striga infestation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7489516/
https://www.ncbi.nlm.nih.gov/pubmed/32925954
http://dx.doi.org/10.1371/journal.pone.0239205
work_keys_str_mv AT baduaprakubaffour identificationofqtlsforgrainyieldandothertraitsintropicalmaizeunderstrigainfestation
AT adewalesamuel identificationofqtlsforgrainyieldandothertraitsintropicalmaizeunderstrigainfestation
AT paterneagreangelot identificationofqtlsforgrainyieldandothertraitsintropicalmaizeunderstrigainfestation
AT gedilmelaku identificationofqtlsforgrainyieldandothertraitsintropicalmaizeunderstrigainfestation
AT toyinbojohnson identificationofqtlsforgrainyieldandothertraitsintropicalmaizeunderstrigainfestation
AT asiedurobert identificationofqtlsforgrainyieldandothertraitsintropicalmaizeunderstrigainfestation