Cargando…

Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains

The domestication and subsequent genetic improvement of wheat led to the development of large-seeded cultivated wheat species relative to their smaller-seeded wild progenitors. While increased grain weight (GW) continues to be an important goal of many wheat breeding programs, few genes underlying t...

Descripción completa

Detalles Bibliográficos
Autores principales: Avni, Raz, Oren, Leah, Shabtay, Gai, Assili, Siwar, Pozniak, Curtis, Hale, Iago, Ben-David, Roi, Peleg, Zvi, Distelfeld, Assaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315823/
https://www.ncbi.nlm.nih.gov/pubmed/30562998
http://dx.doi.org/10.3390/genes9120636
_version_ 1783384385893957632
author Avni, Raz
Oren, Leah
Shabtay, Gai
Assili, Siwar
Pozniak, Curtis
Hale, Iago
Ben-David, Roi
Peleg, Zvi
Distelfeld, Assaf
author_facet Avni, Raz
Oren, Leah
Shabtay, Gai
Assili, Siwar
Pozniak, Curtis
Hale, Iago
Ben-David, Roi
Peleg, Zvi
Distelfeld, Assaf
author_sort Avni, Raz
collection PubMed
description The domestication and subsequent genetic improvement of wheat led to the development of large-seeded cultivated wheat species relative to their smaller-seeded wild progenitors. While increased grain weight (GW) continues to be an important goal of many wheat breeding programs, few genes underlying this trait have been identified despite an abundance of studies reporting quantitative trait loci (QTL) for GW. Here we perform a QTL analysis for GW using a population of recombinant inbred lines (RILs) derived from the cross between wild emmer wheat accession ‘Zavitan’ and durum wheat variety ‘Svevo’. Identified QTLs in this population were anchored to the recent Zavitan reference genome, along with previously published QTLs for GW in tetraploid wheat. This genome-based, meta-QTL analysis enabled the identification of a locus on chromosome 6A whose introgression from wild wheat positively affects GW. The locus was validated using an introgression line carrying the 6A GW QTL region from Zavitan in a Svevo background, resulting in >8% increase in GW compared to Svevo. Using the reference sequence for the 6A QTL region, we identified a wheat ortholog to OsGRF4, a rice gene previously associated with GW. The coding sequence of this gene (TtGRF4-A) contains four single nucleotide polymorphisms (SNPs) between Zavitan and Svevo, one of which reveals the Zavitan allele to be rare in a core collection of wild emmer and completely absent from the domesticated emmer genepool. Similarly, another wild emmer accession (G18-16) was found to carry a rare allele of TtGRF4-A that also positively affects GW and is characterized by a unique SNP absent from the entire core collection. These results exemplify the rich genetic diversity of wild wheat, posit TtGRF4-A as a candidate gene underlying the 6A GW QTL, and suggest that the natural Zavitan and G18-16 alleles of TtGRF4-A have potential to increase wheat yields in breeding programs.
format Online
Article
Text
id pubmed-6315823
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-63158232019-01-09 Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains Avni, Raz Oren, Leah Shabtay, Gai Assili, Siwar Pozniak, Curtis Hale, Iago Ben-David, Roi Peleg, Zvi Distelfeld, Assaf Genes (Basel) Article The domestication and subsequent genetic improvement of wheat led to the development of large-seeded cultivated wheat species relative to their smaller-seeded wild progenitors. While increased grain weight (GW) continues to be an important goal of many wheat breeding programs, few genes underlying this trait have been identified despite an abundance of studies reporting quantitative trait loci (QTL) for GW. Here we perform a QTL analysis for GW using a population of recombinant inbred lines (RILs) derived from the cross between wild emmer wheat accession ‘Zavitan’ and durum wheat variety ‘Svevo’. Identified QTLs in this population were anchored to the recent Zavitan reference genome, along with previously published QTLs for GW in tetraploid wheat. This genome-based, meta-QTL analysis enabled the identification of a locus on chromosome 6A whose introgression from wild wheat positively affects GW. The locus was validated using an introgression line carrying the 6A GW QTL region from Zavitan in a Svevo background, resulting in >8% increase in GW compared to Svevo. Using the reference sequence for the 6A QTL region, we identified a wheat ortholog to OsGRF4, a rice gene previously associated with GW. The coding sequence of this gene (TtGRF4-A) contains four single nucleotide polymorphisms (SNPs) between Zavitan and Svevo, one of which reveals the Zavitan allele to be rare in a core collection of wild emmer and completely absent from the domesticated emmer genepool. Similarly, another wild emmer accession (G18-16) was found to carry a rare allele of TtGRF4-A that also positively affects GW and is characterized by a unique SNP absent from the entire core collection. These results exemplify the rich genetic diversity of wild wheat, posit TtGRF4-A as a candidate gene underlying the 6A GW QTL, and suggest that the natural Zavitan and G18-16 alleles of TtGRF4-A have potential to increase wheat yields in breeding programs. MDPI 2018-12-17 /pmc/articles/PMC6315823/ /pubmed/30562998 http://dx.doi.org/10.3390/genes9120636 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Avni, Raz
Oren, Leah
Shabtay, Gai
Assili, Siwar
Pozniak, Curtis
Hale, Iago
Ben-David, Roi
Peleg, Zvi
Distelfeld, Assaf
Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains
title Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains
title_full Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains
title_fullStr Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains
title_full_unstemmed Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains
title_short Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of GRF4 Associated with Larger Grains
title_sort genome based meta-qtl analysis of grain weight in tetraploid wheat identifies rare alleles of grf4 associated with larger grains
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315823/
https://www.ncbi.nlm.nih.gov/pubmed/30562998
http://dx.doi.org/10.3390/genes9120636
work_keys_str_mv AT avniraz genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains
AT orenleah genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains
AT shabtaygai genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains
AT assilisiwar genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains
AT pozniakcurtis genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains
AT haleiago genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains
AT bendavidroi genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains
AT pelegzvi genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains
AT distelfeldassaf genomebasedmetaqtlanalysisofgrainweightintetraploidwheatidentifiesrareallelesofgrf4associatedwithlargergrains