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Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools

KEY MESSAGE: High genetic variation in two European maize landraces can be harnessed to improve Gibberella ear rot resistance by integrated genomic tools. ABSTRACT: Fusarium graminearum (Fg) causes Gibberella ear rot (GER) in maize leading to yield reduction and contamination of grains with several...

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Autores principales: Gaikpa, David Sewordor, Kessel, Bettina, Presterl, Thomas, Ouzunova, Milena, Galiano-Carneiro, Ana L., Mayer, Manfred, Melchinger, Albrecht E., Schön, Chris-Carolin, Miedaner, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925457/
https://www.ncbi.nlm.nih.gov/pubmed/33274402
http://dx.doi.org/10.1007/s00122-020-03731-9
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author Gaikpa, David Sewordor
Kessel, Bettina
Presterl, Thomas
Ouzunova, Milena
Galiano-Carneiro, Ana L.
Mayer, Manfred
Melchinger, Albrecht E.
Schön, Chris-Carolin
Miedaner, Thomas
author_facet Gaikpa, David Sewordor
Kessel, Bettina
Presterl, Thomas
Ouzunova, Milena
Galiano-Carneiro, Ana L.
Mayer, Manfred
Melchinger, Albrecht E.
Schön, Chris-Carolin
Miedaner, Thomas
author_sort Gaikpa, David Sewordor
collection PubMed
description KEY MESSAGE: High genetic variation in two European maize landraces can be harnessed to improve Gibberella ear rot resistance by integrated genomic tools. ABSTRACT: Fusarium graminearum (Fg) causes Gibberella ear rot (GER) in maize leading to yield reduction and contamination of grains with several mycotoxins. This study aimed to elucidate the molecular basis of GER resistance among 500 doubled haploid lines derived from two European maize landraces, “Kemater Landmais Gelb” (KE) and “Petkuser Ferdinand Rot” (PE). The two landraces were analyzed individually using genome-wide association studies and genomic selection (GS). The lines were genotyped with a 600-k maize array and phenotyped for GER severity, days to silking, plant height, and seed-set in four environments using artificial infection with a highly aggressive Fg isolate. High genotypic variances and broad-sense heritabilities were found for all traits. Genotype-environment interaction was important throughout. The phenotypic (r) and genotypic ([Formula: see text] ) correlations between GER severity and three agronomic traits were low (r =  − 0.27 to 0.20; [Formula: see text] =  − 0.32 to 0.22). For GER severity, eight QTLs were detected in KE jointly explaining 34% of the genetic variance. In PE, no significant QTLs for GER severity were detected. No common QTLs were found between GER severity and the three agronomic traits. The mean prediction accuracies ([Formula: see text] ) of weighted GS (wRR-BLUP) were higher than [Formula: see text] of marker-assisted selection (MAS) and unweighted GS (RR-BLUP) for GER severity. Using KE as the training set and PE as the validation set resulted in very low [Formula: see text] that could be improved by using fixed marker effects in the GS model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00122-020-03731-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-79254572021-03-19 Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools Gaikpa, David Sewordor Kessel, Bettina Presterl, Thomas Ouzunova, Milena Galiano-Carneiro, Ana L. Mayer, Manfred Melchinger, Albrecht E. Schön, Chris-Carolin Miedaner, Thomas Theor Appl Genet Original Article KEY MESSAGE: High genetic variation in two European maize landraces can be harnessed to improve Gibberella ear rot resistance by integrated genomic tools. ABSTRACT: Fusarium graminearum (Fg) causes Gibberella ear rot (GER) in maize leading to yield reduction and contamination of grains with several mycotoxins. This study aimed to elucidate the molecular basis of GER resistance among 500 doubled haploid lines derived from two European maize landraces, “Kemater Landmais Gelb” (KE) and “Petkuser Ferdinand Rot” (PE). The two landraces were analyzed individually using genome-wide association studies and genomic selection (GS). The lines were genotyped with a 600-k maize array and phenotyped for GER severity, days to silking, plant height, and seed-set in four environments using artificial infection with a highly aggressive Fg isolate. High genotypic variances and broad-sense heritabilities were found for all traits. Genotype-environment interaction was important throughout. The phenotypic (r) and genotypic ([Formula: see text] ) correlations between GER severity and three agronomic traits were low (r =  − 0.27 to 0.20; [Formula: see text] =  − 0.32 to 0.22). For GER severity, eight QTLs were detected in KE jointly explaining 34% of the genetic variance. In PE, no significant QTLs for GER severity were detected. No common QTLs were found between GER severity and the three agronomic traits. The mean prediction accuracies ([Formula: see text] ) of weighted GS (wRR-BLUP) were higher than [Formula: see text] of marker-assisted selection (MAS) and unweighted GS (RR-BLUP) for GER severity. Using KE as the training set and PE as the validation set resulted in very low [Formula: see text] that could be improved by using fixed marker effects in the GS model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00122-020-03731-9) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-12-03 2021 /pmc/articles/PMC7925457/ /pubmed/33274402 http://dx.doi.org/10.1007/s00122-020-03731-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Gaikpa, David Sewordor
Kessel, Bettina
Presterl, Thomas
Ouzunova, Milena
Galiano-Carneiro, Ana L.
Mayer, Manfred
Melchinger, Albrecht E.
Schön, Chris-Carolin
Miedaner, Thomas
Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools
title Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools
title_full Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools
title_fullStr Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools
title_full_unstemmed Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools
title_short Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools
title_sort exploiting genetic diversity in two european maize landraces for improving gibberella ear rot resistance using genomic tools
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925457/
https://www.ncbi.nlm.nih.gov/pubmed/33274402
http://dx.doi.org/10.1007/s00122-020-03731-9
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