Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Dec 17;9(12):636.
doi: 10.3390/genes9120636.

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

Affiliations

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

Raz Avni et al. Genes (Basel). .

Abstract

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.

Keywords: GRF4; Quantitative trait loci; Single nucleotide polymorphism; grain weight; meta-QTL; thousand kernel weight; wild emmer wheat.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest

Figures

Figure 1
Figure 1
Meta-analysis of TKW quantitative trait loci (QTLs) from nine independent studies, using the wild emmer wheat (WEW) genome assembly as an anchor. The outer circle represents the WEW genome and the colored shapes in the inner circle represent QTLs for TKW from each of the nine studies. The different shapes (square, circle, and diamond) represent the origin (WEW, domesticated emmer wheat (DEW), or durum) of the high-TKW allele.
Figure 2
Figure 2
Comparison of TKW between durum parent Sv and IL-21.1 carrying the mQTL-GW-6A region. (A) Samples of 500 grains from the 2017R environment. (B) Boxplot showing quantile statistics for TKW from the 2017R two environments (e.g., dry and wet).
Figure 3
Figure 3
Schematic representation of the Zavitan GRF4-A gene (GRF4-Az). The black arrows indicate single nucleotide polymorphisms (SNPs) between Zavitan and Svevo while the gray arrow marks the unique SNP of WEW accession G18-16 (GRF4-Ag).

References

    1. Campbell K.G., Bergman C.J., Gualberto D.G., Anderson J.A., Giroux M.J., Hareland G., Fulcher R.G., Sorrells M.E., Finney P.L. Quantitative trait loci associated with kernel traits in a soft x hard wheat cross. Crop Sci. 1999;39:1184–1195. doi: 10.2135/cropsci1999.0011183X003900040039x. - DOI
    1. Gegas V.C., Nazari A., Griffiths S., Simmonds J., Fish L., Orford S., Sayers L., Doonan J.H., Snape J.W. A genetic framework for grain size and shape variation in wheat. Plant Cell. 2010;22:1046–1056. doi: 10.1105/tpc.110.074153. - DOI - PMC - PubMed
    1. Abbo S., Pinhasi van-Oss R., Gopher A., Saranga Y., Ofner I., Peleg Z. Plant domestication versus crop evolution: A conceptual framework for cereals and grain legumes. Trends Plant Sci. 2014;19:351–360. doi: 10.1016/j.tplants.2013.12.002. - DOI - PubMed
    1. Golan G., Oksenberg A., Peleg Z. Genetic evidence for differential selection of grain and embryo weight during wheat evolution under domestication. J. Exp. Bot. 2015;66:5703–5711. doi: 10.1093/jxb/erv249. - DOI - PMC - PubMed
    1. Ozkan H., Brandolini A., Pozzi C., Effgen S., Wunder J., Salamini F. A reconsideration of the domestication geography of tetraploid wheats. Theor. Appl. Genet. 2005;110:1052–1060. doi: 10.1007/s00122-005-1925-8. - DOI - PubMed