Abstract
As the diploid progenitor of the D genome of common wheat, Aegilops tauschii contains abundant genetic resources for potential economic traits, including yield, biotic and abiotic stress tolerance. In this study, phenotypic variation for 4 grain shapes in 221 Ae. tauschii accessions was evaluated in 5 environments for 2 consecutive crop seasons, and best linear unbiased estimates (BLUEs) for grain shapes were calculated across the seasons. To decrease false discovery rate, a total of 139 loci were only identified based on the BLUEs and each environment by genome-wide association study utilizing 4282 single nucleotide polymorphism (SNP) markers from D genome of wheat 55 K genotyping assay. These loci could explain 5.86–17.71% of the phenotypic variation of grain length (GL), 6.83–8.42% of grain width, 5.99–17.71% of grain perimeter, and 5.80–19.61% of grain length–width ratio (GLWR), respectively. Further, 26 significant loci were validated in the wheat mini-core collections population by two-tailed t test. Moreover, the physical positions of some loci for GL and GLWR were found to correspond with previously mapped loci that affect these traits. Based on the obtained SNP loci, 6 putative candidate genes related to grain shapes were identified. This study could provide valuable information for cloning genes related to grain shapes in Ae. tauschii.
Similar content being viewed by others
References
Allen AM, Winfield MO, Burridge AJ et al (2017) Characterization of a wheat breeders’ array suitable for high-throughput SNP genotyping of global accessions of hexaploid bread wheat (Triticum aestivum). Plant Biotechnol J 15:390–401. https://doi.org/10.1111/pbi.12635
Aoki N, Hirose T, Scofield GN et al (2003) The sucrose transporter gene family in rice. Plant Cell Physiol 44:223–232. https://doi.org/10.1093/pcp/pcg030
Arora S, Singh N, Kaur S et al (2017) Genome-wide association study of grain architecture in wild wheat aegilops tauschii. Front Plant Sci 8:886. https://doi.org/10.3389/fpls.2017.00886
Basu D, Tian L, Wang W et al (2015) A small multigene hydroxyproline-O-galactosyltransferase family functions in arabinogalactan-protein glycosylation, growth and development in Arabidopsis. BMC Plant Biol 15:295. https://doi.org/10.1186/s12870-015-0670-7
Breseghello F, Sorrells ME (2006) Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars. Genetics 172:1165–1177. https://doi.org/10.1534/genetics.105.044586
Cui F, Zhang N, Fan XL et al (2017) Utilization of a Wheat660K SNP array-derived high-density genetic map for high-resolution mapping of a major QTL for kernel number. Sci Rep 7:3788. https://doi.org/10.1038/s41598-017-04028-6
Cuthbert JL, Somers DJ, Brûlé-Babel AL et al (2008) Molecular mapping of quantitative trait loci for yield and yield components in spring wheat (Triticum aestivum L.). Theor Appl Genet 117:595–608. https://doi.org/10.1007/s00122-008-0804-5
Dholakia BB, Ammiraju JSS, Singh H et al (2003) Molecular marker analysis of kernel size and shape in bread wheat. Plant Breed 122:392–395. https://doi.org/10.1046/j.1439-0523.2003.00896.x
Dvorak J, Luo MC, Yang ZL, Zhang HB (1998) The structure of the Aegilops tauschii genepool and the evolution of hexaploid wheat. Theor Appl Genet 97:657–670. https://doi.org/10.1007/s001220050942
Dvorak J, Deal KR, Luo MC et al (2012) The origin of spelt and free-threshing hexaploid wheat. J Hered 103:426–441. https://doi.org/10.1093/jhered/esr152
Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software structure: a simulation study. Mol Ecol 14:2611–2620. https://doi.org/10.1111/j.1365-294X.2005.02553.x
Galeng-Lawilao J, Kumar A, De Waele D (2018) QTL mapping for resistance to and tolerance for the rice root-knot nematode Meloidogyne Graminicola. BMC Genet 19:17. https://doi.org/10.1186/s12863-018-0656-1
Gill BS, Appels R, Botha-Oberholster AM et al (2004) A workshop report on wheat genome sequencing: International genome research on wheat consortium. Genetics 168:1087–1096. https://doi.org/10.1534/genetics.104.034769
Griffiths S, Wingen L, Pietragalla J et al (2015) Genetic dissection of grain size and grain number trade-offs in CIMMYT wheat germplasm. PLoS ONE 10:e0118847. https://doi.org/10.1371/journal.pone.0118847
Han Y, Chen W, Yang F et al (2015) cDNA-AFLP analysis on 2 Osmanthus fragrans cultivars with different flower color and molecular characteristics of OfMYB1 gene. Trees Struct Funct 29:931–940. https://doi.org/10.1007/s00468-015-1175-6
Hayashi H, Chino M (1990) Chemical composition of phloem sap from the uppermost internode of the rice plant. Plant Cell Physiol 31:247–251. https://doi.org/10.1093/oxfordjournals.pcp.a077899
Hong Z, Ueguchi-Tanaka M, Fujioka S et al (2005) The rice brassinosteroid-deficient dwarf2 mutant, defective in the rice homolog of Arabidopsis DIMINUTO/DWARF1, is rescued by the endogenously accumulated alternative bioactive brassinosteroid, dolichosterone. Plant Cell 17:2243–2254. https://doi.org/10.1105/tpc.105.030973
Ishimaru K, Hirotsu N, Madoka Y et al (2013) Loss of function of the IAA-glucose hydrolase gene TGW6 enhances rice grain weight and increases yield. Nat Genet 45:707–711. https://doi.org/10.1038/ng.2612
Jiang WB, Lin WH (2013) Brassinosteroid functions in arabidopsis seed development. Plant Signal Behav 8:e25928
Kilian B, Mammen K, Millet E, Sharma R, Graner A et al (2011) Wild crop relatives: genomic and breeding resources cereals. Springer, Berlin Heidelberg, Berlin, pp 1–76
Li Y, Jones L, McQueen-Mason S (2003) Expansins and cell growth. Curr Opin Plant Biol 6:603–610
Li Q, Li L, Yang X et al (2010) Relationship, evolutionary fate and function of two maize co-orthologs of rice GW2 associated with kernel size and weight. BMC Plant Biol 10:143. https://doi.org/10.1186/1471-2229-10-143
Li Y, Fan C, Xing Y et al (2011) Natural variation in GS5 plays an important role in regulating grain size and yield in rice. Nat Genet 43:1266–1269. https://doi.org/10.1038/ng.977
Li F, Wen W, He Z et al (2018) Genome-wide linkage mapping of yield-related traits in three Chinese bread wheat populations using high-density SNP markers. Theor Appl Genet 131:1903–1924. https://doi.org/10.1007/s00122-018-3122-6
Liu Y, Subhash C, Yan J et al (2011) Maize leaf temperature responses to drought: Thermal imaging and quantitative trait loci (QTL) mapping. Environ Exp Bot 71:158–165. https://doi.org/10.1016/j.envexpbot.2010.11.010
Liu Y, Wang L, Deng M et al (2015a) Genome-wide association study of phosphorus-deficiency-tolerance traits in Aegilops tauschii. Theor Appl Genet 128:2203–2212. https://doi.org/10.1007/s00122-015-2578-x
Liu Y, Wang L, Mao S et al (2015b) Genome-wide association study of 29 morphological traits in Aegilops tauschii. Sci Rep 5:15562. https://doi.org/10.1038/srep15562
Liu J, Luo W, Qin N et al (2018) A 55 K SNP array-based genetic map and its utilization in QTL mapping for productive tiller number in common wheat. Theor Appl Genet 131:2439–2450. https://doi.org/10.1007/s00122-018-3164-9
Luo MC, Gu YQ, Puiu D et al (2017) Genome sequence of the progenitor of the wheat D genome Aegilops tauschii. Nature 551:498–502. https://doi.org/10.1038/nature24486
Ma F, Xu Y, Ma Z et al (2018) Genome-wide association and validation of key loci for yield-related traits in wheat founder parent Xiaoyan6. Mol Breed 38:91–106. https://doi.org/10.1007/s11032-018-0837-7
Mackay I, Powell W (2007) Methods for linkage disequilibrium mapping in crops. Trends Plant Sci 12:57–63
Mao H, Sun S, Yao J et al (2010) Linking differential domain functions of the GS3 protein to natural variation of grain size in rice. Proc Natl Acad Sci U S A 107:19579–19584. https://doi.org/10.1073/pnas.1014419107
Mizuno N, Yamasaki M, Matsuoka Y et al (2010) Population structure of wild wheat D-genome progenitor Aegilops tauschii Coss.: Implications for intraspecific lineage diversification and evolution of common wheat. Mol Ecol 19:999–1013. https://doi.org/10.1111/j.1365-294X.2010.04537.x
Myles S, Peiffer J, Brown PJ et al (2009) Association mapping: critical considerations shift from genotyping to experimental design. Plant Cell 21:2194–2202
Nishijima R, Okamoto Y, Hatano H, Takumi S (2017) Quantitative trait locus analysis for spikelet shape-related traits in wild wheat progenitor Aegilops tauschii: Implications for intraspecific diversification and subspecies differentiation. PLoS ONE 12:e0173210. https://doi.org/10.1371/journal.pone.0173210
Pasam RK, Sharma R, Malosetti M et al (2012) Genome-wide association studies for agronomical traits in a world wide spring barley collection. BMC Plant Biol 12:16–16. https://doi.org/10.1186/1471-2229-12-16
Paux E, Sourdille P, Mackay I, Feuillet C (2012) Sequence-based marker development in wheat: advances and applications to breeding. Biotechnol Adv 30:1071–1088
Pritchard JK, Stephens M, Rosenberg NA, Donnelly P (2000) Association mapping in structured populations. Am J Hum Genet 67:170–181. https://doi.org/10.1086/302959
Qin P, Wang L, Liu K et al (2015) Genomewide association study of Aegilops tauschii traits under seedling-stage cadmium stress. Crop J 3:405–415. https://doi.org/10.1016/j.cj.2015.04.005
Qin P, Lin Y, Hu Y et al (2016) Genome-wide association study of drought-related resistance traits in Aegilops tauschii. Genet Mol Biol 39:398–407. https://doi.org/10.1590/1678-4685-GMB-2015-0232
Rasheed A, Xia X, Ogbonnaya F et al (2014) Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis. BMC Plant Biol 14:128. https://doi.org/10.1186/1471-2229-14-128
Ren T, Hu Y, Tang Y et al (2018) Utilization of a Wheat55K SNP array for mapping of major QTL for temporal expression of the tiller number. Front Plant Sci 9:333. https://doi.org/10.3389/fpls.2018.00333
Segami S, Takehara K, Yamamoto T et al (2017) Overexpression of SRS5 improves grain size of brassinosteroid-related dwarf mutants in rice (Oryza sativa L.). Breed Sci 67:393–397. https://doi.org/10.1270/jsbbs.16198
Simmonds J, Scott P, Leverington-Waite M et al (2014) Identification and independent validation of a stable yield and thousand grain weight QTL on chromosome 6A of hexaploid wheat (Triticum aestivum L.). BMC Plant Biol 14:191. https://doi.org/10.1186/s12870-014-0191-9
Sun XY, Wu K, Zhao Y et al (2009) QTL analysis of kernel shape and weight using recombinant inbred lines in wheat. Euphytica 165:615–624. https://doi.org/10.1007/s10681-008-9794-2
Sun Y, Reinders A, Lafleur KR et al (2010) Transport activity of rice sucrose transporters OsSUT1 and OsSUT5. Plant Cell Physiol 51:114–122. https://doi.org/10.1093/pcp/pcp172
Sun C, Zhang F, Yan X et al (2017) Genome-wide association study for 13 agronomic traits reveals distribution of superior alleles in bread wheat from the Yellow and Huai Valley of China. Plant Biotechnol J 15:953–969. https://doi.org/10.1111/pbi.12690
Tan R, Serven B, Collins PJ et al (2018) QTL mapping and epistatic interaction analysis of field resistance to sudden death syndrome (Fusarium virguliforme) in soybean. Theor Appl Genet 131:1729–1740. https://doi.org/10.1007/s00122-018-3110-x
Turner MK, Kolmer JA, Pumphrey MO et al (2017) Association mapping of leaf rust resistance loci in a spring wheat core collection. Theor Appl Genet 130:345–361. https://doi.org/10.1007/s00122-016-2815-y
Wang J, Luo MC, Chen Z et al (2013) Aegilops tauschii single nucleotide polymorphisms shed light on the origins of wheat D-genome genetic diversity and pinpoint the geographic origin of hexaploid wheat. New Phytol 198:925–937. https://doi.org/10.1111/nph.12164
Wang S, Wong D, Forrest K et al (2014) Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array. Plant Biotechnol J 12:787–796. https://doi.org/10.1111/pbi.12183
Williams K, Sorrells ME (2014) Three-dimensional seed size and shape QTL in hexaploid wheat (Triticum aestivum L.) populations. Crop Sci 54:98–110. https://doi.org/10.2135/cropsci2012.10.0609
Winfield MO, Allen AM, Burridge AJ et al (2016) High-density SNP genotyping array for hexaploid wheat and its secondary and tertiary gene pool. Plant Biotechnol J 14:1195–1206. https://doi.org/10.1111/pbi.12485
Wu QH, Chen YX, Zhou SH et al (2015) High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda 1817 x Beinong6. PLoS ONE 10:e0118144. https://doi.org/10.1371/journal.pone.0118144
Wu J, Huang S, Zeng Q et al (2018) Comparative genome-wide mapping versus extreme pool-genotyping and development of diagnostic SNP markers linked to QTL for adult plant resistance to stripe rust in common wheat. Theor Appl Genet 131:1777–1792. https://doi.org/10.1007/s00122-018-3113-7
Xiao YG, Qian ZG, Wu K et al (2012) Genetic gains in grain yield and physiological traits of winter wheat in Shandong province, China, from 1969 to 2006. Crop Sci 52:44–56. https://doi.org/10.2135/cropsci2011.05.0246
Zhang D, He J, Huang L et al (2017) An advanced backcross population through synthetic octaploid wheat as a “Bridge”: Development and QTL detection for seed dormancy. Front Plant Sci 8:2123. https://doi.org/10.3389/fpls.2017.02123
Zhang D, Zhou Y, Zhao X et al (2018) Development and utilization of introgression lines using synthetic octaploid wheat (Aegilops tauschii × hexaploid wheat) as donor. Front Plant Sci 9:1113. https://doi.org/10.3389/fpls.2018.01113
Zhao G, Zou C, Li K et al (2017) The Aegilops tauschii genome reveals multiple impacts of transposons. Nat Plants 3:946–955. https://doi.org/10.1038/s41477-017-0067-8
Zuo J, Li J (2014) Molecular genetic dissection of quantitative trait loci regulating rice grain size. Annu Rev Genet 48:99–118. https://doi.org/10.1146/annurev-genet-120213-092138
Acknowledgements
We are grateful to J. Jia (Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS)) for providing wheat mini-core collection and information. This work was supported by Project of Science and Technology Department of Henan Province (Grant No. 202102110031, 212102110269) and Key Scientific Research Projects of Higher Education Institutions in Henan Province (Grant No. 20A210007).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Zhao, X., Lv, L., Li, J. et al. Genome-wide association study of grain shapes in Aegilops tauschii. Euphytica 217, 144 (2021). https://doi.org/10.1007/s10681-021-02877-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10681-021-02877-x