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Dissection of quantitative trait loci for root characters and day length sensitivity in SynOpDH wheat (Triticum aestivum L.) bi-parental mapping population

Published online by Cambridge University Press:  03 August 2020

Harun Bektas*
Affiliation:
Department of Botany and Plant Sciences, The University of California at Riverside, Riverside, CA92521, USA
Christopher Earl Hohn*
Affiliation:
Department of Botany and Plant Sciences, The University of California at Riverside, Riverside, CA92521, USA
John Giles Waines
Affiliation:
Department of Botany and Plant Sciences, The University of California at Riverside, Riverside, CA92521, USA
*
*Corresponding author. E-mail: bektasharun@gmail.com
*Corresponding author. E-mail: bektasharun@gmail.com

Abstract

The genetics of the root system is still not dissected for wheat and lack of knowledge prohibits the use of marker-assisted selection in breeding. To understand the genetic mechanism of root development, Synthetic W7984 × Opata M85 doubled-haploid (SynOpDH) mapping population was evaluated for root and shoot characteristics in PVC tubes until maturity. Two major quantitative trait loci (QTLs) for total root biomass were detected on homoeologous chromosomes 2A and 2D with logarithm of the odds scores between 6.25–10.9 and 11.8–20.86, and total phenotypic effects between 12.7–17.7 and 26.6–40.04% in 2013 and 2014, respectively. There was a strong correlation between days to anthesis and root and shoot biomass accumulation (0.50–0.81). The QTL for biomass traits on chromosome 2D co-locates with QTL for days to anthesis. The effect of extended vegetative growth, caused by photoperiod sensitivity (Ppd) genes, on biomass accumulation was always hypothesized, this is the first study to genetically support this theory.

Type
Research Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press on behalf of NIAB

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Footnotes

Present Address: Department of Agricultural Biotechnology, Siirt University, Siirt 56100, Turkey.

Present Address: KAYAgene LLC, Salinas, CA, USA.

References

Asseng, S, Ritchie, JT, Smucker, AJM and Robertson, MJ (1998) Root growth and water uptake during water deficit and recovering in wheat. Plant and Soil 201: 265273.CrossRefGoogle Scholar
Bai, C, Liang, Y and Hawkesford, MJ (2013) Identification of QTLs associated with seedling root traits and their correlation with plant height in wheat. Journal of Experimental Botany 64: 17451753.CrossRefGoogle ScholarPubMed
Beavis, WD (1994) The power and deceit of QTL experiments: lessons from comparative QTL studies. In Proceedings of the 49th Annual Corn & Sorghum Industry Research Conference. American Seed Trade Association, Washington, DC, pp. 250–266.Google Scholar
Bengough, AG, Gordon, DC, Al-Menaie, H, Ellis, RP, Allan, D, Keith, R, Thomas, WT and Forster, BP (2004) Gel observation chamber for rapid screening of root traits in cereal seedlings. Plant and Soil 262: 6370.CrossRefGoogle Scholar
Bengough, AG, McKenzie, BM, Hallett, PD and Valentine, TA (2011) Root elongation, water stress, and mechanical impedance: a review of limiting stresses and beneficial root tip traits. Journal of Experimental Botany 62: 5968.CrossRefGoogle ScholarPubMed
Cavanagh, CR, Chao, S, Wang, S, Huang, BE, Stephen, S, Kiani, S, Forrest, K, Saintenac, C, Brown-Guedira, GL, Akhunova, A and See, D (2013) Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars. Proceedings of the National Academy of Sciences 110: 80578062.CrossRefGoogle ScholarPubMed
Ehdaie, B and Waines, JG (2006) Determination of a chromosome segment influencing rooting ability in wheat-rye 1BS-1RS recombinant lines. Journal of Genetics & Breeding 60: 7176.Google Scholar
Ehdaie, B, Whitkus, RW and Waines, JG (2003) Root biomass, water-use efficiency, and performance of wheat–rye translocations of chromosomes 1 and 2 in spring bread wheat ‘Pavon’. Crop Science 43: 710717.CrossRefGoogle Scholar
Ehdaie, B, Merhaut, DJ, Ahmadian, S, Hoops, AC, Khuong, T, Layne, AP and Waines, JG (2010) Root system size influences water-nutrient uptake and nitrate leaching potential in wheat. Journal of Agronomy and Crop Science 196: 455466.CrossRefGoogle Scholar
Ehdaie, B, Mohammadi, S, Nouraein, M, Bektas, H and Waines, J (2016) Erratum to: QTLs for root traits at mid-tillering and for root and shoot traits at maturity in a RIL population of spring bread wheat grown under well-watered conditions. Euphytica 211: 1739.CrossRefGoogle Scholar
Elshire, RJ, Glaubitz, JC, Sun, Q, Poland, JA, Kawamoto, K, Buckler, ES and Mitchell, SE (2011) A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS ONE 6: e19379.CrossRefGoogle ScholarPubMed
Gonzalez-Paleo, L and Ravetta, DA (2012) Allocation patterns and phenology in wild and selected accessions of annual and perennial Physaria (Lesquerella. Brassicaceae). Euphytica 186: 289302.CrossRefGoogle Scholar
Herder, GD, Van Isterdael, G, Beeckman, T and De Smet, I (2010) The roots of a new green revolution. Trends in Plant Science 15: 600607.CrossRefGoogle Scholar
Hoagland, DR and Arnon, DI (1950) The water-culture method for growing plants without soil. Circular. California Agricultural Experiment Station, 347(2nd edit).Google Scholar
Hu, T, Sørensen, P, Wahlström, EM, Chirinda, N, Sharif, B, Li, X and Olesen, JE (2018) Root biomass in cereals, catch crops and weeds can be reliably estimated without considering aboveground biomass. Agriculture Ecosystems & Environment 251: 141148.CrossRefGoogle Scholar
Jung, JKH and McCouch, S (2013) Getting to the roots of it: genetic and hormonal control of root architecture. Frontiers in Plant Science 4: 186.CrossRefGoogle ScholarPubMed
Kuijken, RCP, van Eeuwijk, FA, Marcelis, LFM and Bouwmeester, HJ (2015) Root phenotyping: from component trait in the lab to breeding. Journal of Experimental Botany 66: 53895401.CrossRefGoogle ScholarPubMed
Landjeva, S, Neumann, K, Lohwasser, U and Börner, A (2008) Molecular mapping of genomic regions associated with wheat seedling growth under osmotic stress. Biologia Plantarum 52: 259266.CrossRefGoogle Scholar
Li, H, Ribaut, JM, Li, Z and Wang, J (2008) Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations. Theoretical and Applied Genetics 116: 243260.CrossRefGoogle ScholarPubMed
Li, Z, Peng, T, Xie, Q, Han, S and Tian, J (2010) Mapping of QTL for tiller number at different stages of growth in wheat using double haploid and immortalized F2 populations. Journal of Genetics 89: 409.CrossRefGoogle ScholarPubMed
Li, P, Chen, J, Wu, P, Zhang, J, Chu, C, See, D, Brown-Guedira, G, Zemetra, R and Souza, E (2011) Quantitative trait loci analysis for the effect of Rht-B1 dwarfing gene on coleoptile length and seedling root length and number of bread wheat. Crop Science 51: 25612568.CrossRefGoogle Scholar
Liu, X, Li, R, Chang, X and Jing, R (2013) Mapping QTLs for seedling root traits in a doubled haploid wheat population under different water regimes. Euphytica 189: 5166.CrossRefGoogle Scholar
Lynch, JP (2007) Roots of the second green revolution. Australian Journal of Botany 55: 493512. http://dx.doi:10.1071/bt06118.CrossRefGoogle Scholar
Lynch, JP (2013) Steep, cheap and deep: an ideotype to optimize water and N acquisition by maize root systems. Annals of Botany 112: 347357.CrossRefGoogle Scholar
Lynch, JP and Brown, KM (2012) New roots for agriculture: exploiting the root phenome. Philosophical Transactions of the Royal Society B-Biological Sciences 367: 15981604, doi: 10.1098/rstb.2011.0243.CrossRefGoogle ScholarPubMed
Manschadi, AM, Christopher, J, de Voil, P and Hammer, GL (2006) The role of root architectural traits in adaptation of wheat to water-limited environments. Functional Plant Biology 33: 823837.CrossRefGoogle ScholarPubMed
Morgounov, A, Keser, M, Kan, M, Küçükçongar, M, Özdemir, F, Gummadov, N, Muminjanov, H, Zuev, E and Qualset, CO (2016) Wheat landraces currently grown in Turkey: distribution, diversity, and use. Crop Science 56: 31123124.CrossRefGoogle Scholar
Mujeeb-Kazi, A, Rosas, V and Roldan, S (1996) Conservation of the genetic variation of Triticum tauschii (Coss.) Schmalh.(Aegilops squarrosa auct. non L.) in synthetic hexaploid wheats (T. turgidum L. s. lat. × T. tauschii; 2n = 6 × = 42, AABBDD) and its potential utilization for wheat improvement. Genetic Resources and Crop Evolution 43: 129134.CrossRefGoogle Scholar
Nelson, JC, Deynze, AE, Sorrells, ME, Autrique, E, Lu, YH, Negre, S, Bernard, M and Leroy, P (1995) Molecular mapping of wheat. homoeologous group 3. Genome 38: 525533.CrossRefGoogle ScholarPubMed
Oyanagi, A (1994) Gravitropic response growth angle and vertical distribution of roots of wheat (Triticum aestivum L.). Plant and Soil 165: 323326.CrossRefGoogle Scholar
Passioura, JB (1983) Roots and drought resistance. In Developments in Agricultural and Managed Forest Ecology, vol. 12, Elsevier, pp. 265280. https://doi.org/10.1016/B978-0-444-42214-9.50025-9.Google Scholar
Petrarulo, M, Marone, D, Ferragonio, P, Cattivelli, L, Rubiales, D, De Vita, P and Mastrangelo, AM (2015) Genetic analysis of root morphological traits in wheat. Molecular Genetics and Genomics 290: 785806.CrossRefGoogle ScholarPubMed
Poland, JA, Brown, PJ, Sorrells, ME and Jannink, JL (2012) Development of high-density genetic maps for barley and wheat using a novel two-enzyme genotyping-by-sequencing approach. PLoS ONE 7: e32253.CrossRefGoogle ScholarPubMed
Radville, L, McCormack, ML, Post, E and Eissenstat, DM (2016) Root phenology in a changing climate. Journal of Experimental Botany 67: 36173628.CrossRefGoogle Scholar
Richard, CA, Hickey, LT, Fletcher, S, Jennings, R, Chenu, K and Christopher, JT (2015) High-throughput phenotyping of seminal root traits in wheat. Plant Methods 11: 13.CrossRefGoogle ScholarPubMed
Richards, RA and Passioura, JB (1981) Seminal root morphology and water use of wheat II. genetic variation 1. Crop Science 21: 253255.CrossRefGoogle Scholar
Richards, RA and Passioura, JB (1989) A breeding program to reduce the diameter of the major xylem vessel in the seminal roots of wheat and its effect on grain yield in rain-fed environments. Australian Journal of Agricultural Research 40: 943950.CrossRefGoogle Scholar
Saintenac, C, Jiang, D, Wang, S and Akhunov, E (2013) Sequence-based mapping of the polyploid wheat genome. G3: Genes, Genomes, Genetics 3: 11051114.CrossRefGoogle ScholarPubMed
Sanguineti, MC, Li, S, Maccaferri, M, Corneti, S, Rotondo, F, Chiari, T and Tuberosa, R (2007) Genetic dissection of seminal root architecture in elite durum wheat germplasm. Annals of Applied Biology 151: 291305.CrossRefGoogle Scholar
Sharma, S, Bhat, PR, Ehdaie, B, Close, J, Lukaszewski, AJ and Waines, JG (2009) Integrated genetic map and genetic analysis of a region associated with root traits on the short arm of rye chromosome 1 in bread wheat. Theoretical and Applied Genetics 119: 783793.CrossRefGoogle ScholarPubMed
Sharma, S, Xu, S, Ehdaie, B, Hoops, A, Close, TJ, Lukaszewski, AJ and Waines, JG (2011) Dissection of QTL effects for root traits using a chromosome arm-specific mapping population in bread wheat. Theoretical and Applied Genetics 122: 759769.CrossRefGoogle ScholarPubMed
Sorrells, ME, Gustafson, JP, Somers, D, Chao, S, Benscher, D, Guedira-Brown, G, Huttner, E, Kilian, A, McGuire, PE, Ross, K and Tanaka, J (2011) Reconstruction of the Synthetic W7984 × Opata M85 wheat reference population. Genome 54: 875882.CrossRefGoogle ScholarPubMed
Steel, RGD, Torrie, JH and Dickey, DA (1997) Principles and Procedures of Statistics: A Biometrical Approach. New York: McGraw-Hill.Google Scholar
Topp, CN, Iyer-Pascuzzi, AS, Anderson, JT, Lee, CR, Zurek, PR, Symonova, O, Zheng, Y, Bucksch, A, Mileyko, Y, Galkovskyi, T and Moore, BT (2013) 3D Phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture. Proceedings of the National Academy of Sciences 110: E1695E1704.CrossRefGoogle ScholarPubMed
Trachsel, S, Kaeppler, SM, Brown, KM and Lynch, JP (2011) Shovelomics: high throughput phenotyping of maize (Zea mays L.) root architecture in the field. Plant and Soil 341: 7587.CrossRefGoogle Scholar
Van Ooijen, JW (1999) LOD Significance thresholds for QTL analysis in experimental populations of diploid species. Heredity 83: 613624.CrossRefGoogle ScholarPubMed
Van Ooijen, JW (2006) JoinMap® 4, Software for the calculation of genetic linkage maps in experimental populations. Kyazma BV, Wageningen, 33(10.1371).Google Scholar
Wasaya, A, Zhang, X, Fang, Q and Yan, Z (2018) Root phenotyping for drought tolerance: a review. Agronomy 8: 241.CrossRefGoogle Scholar
Watt, M, Wasson, A, Chochois, V, Eshel, A and Beeckman, T (2013) Root-based solutions to increasing crop productivity. In: Eshel, A and Beeckman, T (eds) Plant Roots: The Hidden Half. New York, NY: CRC Press, pp. 2121.Google Scholar
Weaver, JE and Bruner, WE (1926). Root Development of Field Crops. New York: McGraw-Hill.Google Scholar
Worland, AJ (1996) The influence of flowering time genes on environmental adaptability in European wheats. Euphytica 89: 4957.CrossRefGoogle Scholar
York, LM, Nord, EA and Lynch, JP (2013) Integration of root phenes for soil resource acquisition. Frontiers in Plant Science 4: 355. doi: 10.3389/fpls.2013.00355.CrossRefGoogle ScholarPubMed
Zadoks, JC, Chang, TT and Konzak, CF (1974) A decimal code for the growth stages of cereals. Weed Research 14: 415421.CrossRefGoogle Scholar
Zhang, H, Cui, F and Wang, H (2014) Detection of quantitative trait loci (QTLs) for seedling traits and drought tolerance in wheat using three related recombinant inbred line (RIL) populations. Euphytica 196: 313330.CrossRefGoogle Scholar
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