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Population structure, marker-trait association and identification of candidate genes for terminal heat stress relevant traits in bread wheat (Triticum aestivum L. em Thell)

Published online by Cambridge University Press:  22 June 2020

Devender Sharma Open the ORCID record for Devender Sharma [Opens in a new window] ,
Jai Prakash Jaiswal Open the ORCID record for Jai Prakash Jaiswal [Opens in a new window] ,
Navin Chander Gahtyari ,
Anjana Chauhan ,
Rashmi Chhabra ,
Gautam Saripalli  and
Narendra Kumar Singh
Devender Sharma*
Affiliation:
Department of Genetics & Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar 263145, India
Jai Prakash Jaiswal
Affiliation:
Department of Genetics & Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar 263145, India
Navin Chander Gahtyari
Affiliation:
Department of Genetics & Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar 263145, India
Anjana Chauhan
Affiliation:
Department of Genetics & Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar 263145, India
Rashmi Chhabra
Affiliation:
Division of Genetics, ICAR - Indian Agricultural Research Institute, New Delhi110012, India
Gautam Saripalli
Affiliation:
Department of Genetics, Ch. Charan Singh University, Meerut-250004, India
Narendra Kumar Singh
Affiliation:
Department of Genetics & Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar 263145, India
*
*Corresponding author. E-mail: [email protected]
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Abstract

Genetic improvement along with widened crop base necessitates for the detailed understanding of the genetic diversity and population structure in wheat. The present investigation reports the discovery of a total of 182 alleles by assaying 52 simple sequence repeats (SSRs) on 40 genotypes of bread wheat. Unweighted neighbour-joining method grouped these genotypes into two main clusters. Highly heat tolerant and intermediate tolerant cultivars were grouped in the same cluster, whereas remaining genotypes, particularly sensitive ones, were assigned different cluster. Similarly, the entire population was structured into two sub-populations (K = 2), closely corresponding with the other distance-based clustering patterns. The marker-trait association was discovered for four important physiological parameters, viz. canopy temperature depression, membrane thermostability index (MSI), normalized difference vegetation index and heat susceptibility index, indicating for heat stress (HS) tolerance in wheat. Both general and mixed linear models of association studies during 2017 and 2018, revealed the association of SSR markers, wmc222 (17.60%, PV) and gwm34 (20.70%, PV) with the mean phenotypic value of MSI. Likewise, SSR markers barc183, gwm75, gwm11 and cfd7 revealed a unique relationship with four selected physiological traits. Candidate genes discovered using in silico tools had nine SSR markers within the genic regions reported to play a role in heat and drought stress responses in plants. The information generated about these genic regions may be explored further in expression studies in-vivo to impart HS tolerance in bread wheat.

Keywords

bread wheatcandidate genesheat stress tolerancemarker-trait association
Type
Research Article
Information
Plant Genetic Resources , Volume 18 , Issue 3 , June 2020 , pp. 168 - 178
Copyright
Copyright © NIAB 2020

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Footnotes

*

ICAR- Vivekananda Parvatiya Krishi Anusandhan Sansthan (VPKAS), Almora 263601, India

References

Anantha, MS, Patel, D, Quintana, M, Swain, P, Dwivedi, JL, Torres, RO, Verulkar, SB, Variar, M, Mandal, NP, Kumar, A and Henry, A (2016) Trait combinations that improve rice yield under drought: Sahbhagi Dhan and new drought-tolerant varieties in South Asia. Crop Science 56: 408–421.CrossRefGoogle Scholar
Asseng, S, Ewert, F, Martre, P, Rotter, RP, Lobell, DB, Cammarano, D, Kimball, BA, Ottman, MJ, Wall, GW, White, JW, Reynolds, MP, Alderman, PD, Prasad, PVV, Aggarwal, PK, Anothai, J, Basso, B, Biernath, C, Challinor, AJ, Sanctis, GDe, Doltra, J, Fereres, E, Garcia-Vila, M, Gayler, S, Hoogenboom, G, Hunt, LA, Izaurralde, RC, Jabloun, M, Jones, CD, Kersebaum, KC, Koehler, AK, Müller, C, Kumar, SN, Nendel, C, O'Leary, G, Olesen, JE, Palosuo, T, Priesack, E, Rezaei, EE, Ruane, AC, Semenov, MA, Shcherbak, I, Stöckle, C, Stratonovitch, P, Streck, T, Supit, I, Tao, F, Thorburn, PJ, Waha, K, Wang, E, Wallach, D, Wolf, J, Zhao, Z, and Zhu, Y (2014) Rising temperatures reduce global wheat production. Nature Climate Change 5: 143–147.CrossRefGoogle Scholar
Chander, S, Bhat, KV, Kumari, R, Sen, S, Gaikwad, AB, Gowda, MVC and Dikshit, N (2017) Analysis of spatial distribution of genetic diversity and validation of Indian foxtail millet core collection. Physiology and Molecular Biology of Plants 23: 663–673.CrossRefGoogle ScholarPubMed
Chiang, CM, Chien, HL, Chen, LF, Hsiung, TC, Chiang, MC, Chen, SP and Lin, KH (2015) Overexpression of the genes coding ascorbate peroxidase from Brassica campestris enhances heat tolerance in transgenic Arabidopsis thaliana. Biologia Plantarum 59: 305–315.CrossRefGoogle Scholar
Elshafei, AA, Saleh, M, Al-Doss, AA, Moustafa, KA, Al-Qurainy, FH and Barakat, MN (2013) Identification of new SRAP markers linked to leaf chlorophyll content, flag leaf senescence and cell membrane stability traits in wheat under water-stressed condition. Australian Journal of Crop Science 7: 887.Google Scholar
Evanno, G, Regnaut, S and Goudet, J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology 14: 2611–2620.CrossRefGoogle ScholarPubMed
FAOSTAT (2019) Available at http://faostat.fao.org.Google Scholar
Fischer, RA and Maurer, R (1978) Drought resistance in spring wheat cultivars. I. Grain yield responses. Australian Journal of Agricultural Research 29: 897–912.CrossRefGoogle Scholar
Garg, D, Sareen, S, Dalal, S, Tiwari, R and Singh, R (2012) Heat shock protein based SNP marker for terminal heat stress in wheat (‘Triticum Aestivum'l.). Australian Journal of Crop Science 6: 1516.Google Scholar
Gupta, PK and Varshney, RK (2000) The development and use of microsatellite markers for genetic analysis and plant breeding with emphasis on bread wheat. Euphytica 113: 163–185.CrossRefGoogle Scholar
Hofmann, NR (2009) The plasma membrane as first responder to heat stress. Plant Cell 21: 2544.CrossRefGoogle ScholarPubMed
Johnson, HW, Robinson, HF and Comstock, RE (1955) Estimates of genetic and environmental variability in soyabean. Agronomy Journal 47: 314–318.CrossRefGoogle Scholar
Kamil, M, AL-Jobori, L and AL-Tamemy, HN (2018) Selection for drought tolerance genotypes in bread wheat (Triticum aestivum L.) under in vitro conditions based on molecular approaches. Biochemical and Cellular Archives 2: 383–394.Google Scholar
Kuchel, H, Fox, R, Reinheimer, J, Mosionek, L, Willey, N, Bariana, H and Jefferies, S (2007) The successful application of a marker-assisted wheat breeding strategy. Molecular Breeding 20: 295–308.CrossRefGoogle Scholar
Kumar, B, Talukdar, A, Bala, I, Verma, K, Lal, SK, Sapra, RL, Namita, B, Chander, S and Tiwar, R (2014) Population structure and association mapping studies for important agronomic traits in soybean. Journal of Genetics 93: 775–784.CrossRefGoogle Scholar
Lowe, I, Jankuloski, L, Chao, S., Chen, X, See, D and Dubcovsk, J (2011) Mapping and validation of QTL which confer partial resistance to broadly virulent post-2000 North American races of stripe rust in hexaploid wheat. Theoretical and Applied Genetics 123: 143–157.CrossRefGoogle ScholarPubMed
Maqsood, RH, Amjid, MW, Saleem, MA, Shabbir, G and Khaliq, I (2017) Identification of genomic regions conferring drought tolerance in bread wheat using ISSR markers. Pakistan Journal of Botany 49: 1821–1827.Google Scholar
Mason, RE, Hays, DB, Mondal, S, Ibrahim, AM and Basnet, BR (2013) QTL for yield, yield components and canopy temperature depression in wheat under late sown field conditions. Euphytica 194: 243–259.CrossRefGoogle Scholar
Nagar, S, Singh, VP, Arora, A, Dhakar, R and Ramakrishnan, S (2015) Assessment of terminal heat tolerance ability of wheat genotypes based on physiological traits using multivariate analysis. Acta Physiologiae Plantarum 37: 257.CrossRefGoogle Scholar
Nagarajan, S (2005) Can India produce enough wheat even by 2020? Current Science 89: 1467–1471.Google Scholar
Paillard, S, Schnurbusch, T, Winzeler, M, Messmer, M, Sourdille, P, Abderhalden, O, Keller, B and Schachermayr, G (2003) An integrative genetic linkage map of winter wheat (Triticum aestivum L.). Theoretical and Applied Genetics 107: 1235–1242.CrossRefGoogle Scholar
Paliwal, R, Röder, MS, Kumar, U, Srivastava, JP and Joshi, AK (2012) QTL Mapping of terminal heat tolerance in hexaploid wheat (T. aestivum L.). Theoretical and Applied Genetics 125: 561–575.CrossRefGoogle Scholar
Qaseem, MF, Qureshi, R, Muqaddasi, QH, Shaheen, H, Kousar, R and Röder, M (2018) Genome-wide association mapping in bread wheat subjected to independent and combined high temperature and drought stress. PloS One 13: e0199121.CrossRefGoogle ScholarPubMed
Raj, RS, Vyas, YS, Baranda, VK, Joshi, MN, Tyagi, SN and Bagatharia, SB (2017) Research Note Ascertaining narrow genetic base in commercial accessions of wheat commonly grown in Gujarat via molecular markers. Electronic Journal of Plant Breeding 8: 558–565.CrossRefGoogle Scholar
Ramya, P, Jain, N, Singh, PK, Singh, GP and Prabhu, KV (2015) Population structure, molecular and physiological characterization of elite wheat varieties used as parents in drought and heat stress breeding in India. Indian Journal of Genetics and Plant Breeding 75: 250–252.CrossRefGoogle Scholar
Reynolds, MP (2001) Heat tolerance. In: Reynolds, MP, Ortiz Monasterio, JI and McNab, A (eds) Application of Physiology in Wheat Breeding. Mexico: CIMMYT, pp. 124–135.Google Scholar
Röder, MS, Korzun, V, Wendehake, K, Plaschke, J, Tixier, MH, Leroy, P and Ganal, MW (1998) A microsatellite map of wheat. Genetics 149: 2007–2023.CrossRefGoogle ScholarPubMed
Sharma, D, Jaiswal, JP, Singh, NK, Chauhan, A and Gahtyari, NC (2018) Developing a selection criterion for terminal heat tolerance in bread wheat based on various morpho-physiological traits. International Journal of Current Microbiology and Applied Sciences 7: 2716–2726.CrossRefGoogle Scholar
Shiferaw, B, Smale, M, Braun, HJ, Duveiller, E, Reynolds, M and Muricho, G (2013) Crops that feed the world 10. Past successes and future challenges to the role played by wheat in global food security. Food Security 5: 291–317.CrossRefGoogle Scholar
Shirdelmoghanloo, H, Taylor, JD, Lohraseb, I, Rabie, H, Brien, C, Timmins, A, Martin, P, Mather, DE, Emebiri, L and Collins, NC (2016) A QTL on the short arm of wheat (Triticum aestivum L.) chromosome 3B affects the stability of grain weight in plants exposed to a brief heat shock early in grain filling. BMC Plant Biology 16: 100, https://doi.org/10.1186/s12870-016-0784-6.CrossRefGoogle ScholarPubMed
Somers, DJ, Isaac, P and Edwards, K (2004) A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theoretical and Applied Genetics 109: 1105–1114.CrossRefGoogle Scholar
Sullivan, CY (1972) Mechanisms of Heat and Drought Resistance in Grain sorghum and Methods of Measurement. Sorghum in Seventies. New Delhi, India: Oxford & IBH Pub. Co.Google Scholar
Tadesse, W, Rajaram, S, Ogbonnaya, FC, Sanchez-Garcia, M, Sohail, Q and Baum, M (2016) Wheat. In: Singh, M and Kumar, S (eds) Broadening the Genetic Base of Grain Cereals. New Delhi: Springer.Google Scholar
Talukder, SK, Babar, MA, Vijayalakshmi, K, Poland, J, Prasad, PV, Bowden, R and Fritz, A (2014) Mapping QTL for the traits associated with heat tolerance in wheat (Triticum aestivum L.). BMC Genetics 15: 97.CrossRefGoogle Scholar
Wang, YF, Munemasa, S, Nishimura, N, Ren, HM, Robert, N, Han, M, Puzõrjova, I, Kollist, H, Lee, S, Mori, I and Schroeder, JI (2013) Identification of cyclic GMP-activated nonselective Ca2+-permeable cation channels and associated CNGC5 and CNGC6 genes in Arabidopsis guard cells. Plant Physiology 163: 578–590.CrossRefGoogle ScholarPubMed
Xia, Y, Yin, S, Zhang, K, Shi, X, Lian, C, Zhang, H, Hu, Z and Shen, Z (2018) OsWAK11, a rice wall-associated kinase, regulates Cu detoxification by alteration the immobilization of Cu in cell walls. Environmental and Experimental Botany 150: 99–105.CrossRefGoogle Scholar
Yamamoto, YY, Matsui, M, Ang, LH and Deng, XW (1998) Role of a COP1 interactive protein in mediating light-regulated gene expression in Arabidopsis. Plant Cell 10: 1083–1094.CrossRefGoogle ScholarPubMed
Zhu, Y, Zhu, G, Guo, Q, Zhu, Z, Wang, C and Liu, Z (2013) A comparative proteomic analysis of Pinellia ternata leaves exposed to heat stress. International Journal of Molecular Science 14: 20614–20634.CrossRefGoogle ScholarPubMed
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