Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-22T02:21:09.441Z Has data issue: false hasContentIssue false
  • English
  • Français

Association of microsatellite markers with root architecture and agromorphologic traits in diverse germplasm of bread wheat

Published online by Cambridge University Press:  02 December 2020

Sara Safari  and
Ali-Ashraf Mehrabi Open the ORCID record for Ali-Ashraf Mehrabi [Opens in a new window]
Sara Safari
Affiliation:
Department of Agronomy and Plant Breeding, Ilam University, Ilam, Iran
Ali-Ashraf Mehrabi*
Affiliation:
Faculty of Agriculture, Department of Agronomy and Plant Breeding, Ilam University, Ilam, Iran
*
*Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Bread wheat (Triticum aestivum) is one of the most important food crops in the world. Its physiological and morphological traits are closely related to yield. Therefore, it is generally important to discover the genomic region associated with these traits. In this research, associations between 21 simple sequence repeat (SSR) markers and 10 inter-simple sequence repeat (ISSR) markers with some traits related to root structure at the embryonic and seedling stages and also some agromorphological traits at the whole plant stage were evaluated on a set of 102 wheat genotypes. A highly significant coefficient of variation among different genotypes was observed in all measured traits. A high level of polymorphism with SSR and ISSR markers was obtained. Genetic structure analysis revealed two distinct subpopulations. Significant correlations were found between genomic markers and evaluated traits. A total of nine markers, including four SSR markers in 1A, 3A, 5A and 2B chromosomal regions and five different ISSR markers were related to the studied traits. Several molecular markers were significantly associated with more than one phenotypic trait, suggesting the possible presence of pleiotropic or indirect effects. The phenotypic variation justified by these alleles ranged from 4 to 15%. Obtained genetic information can be targeted for further validation and genetic analysis in the relevant populations or other breeding sets.

Keywords

agromorphologic traitsassociation mappinggermplasmISSRroot architectureSSRwheat
Type
Research Article
Information
Plant Genetic Resources , Volume 18 , Issue 6 , December 2020 , pp. 437 - 444
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press on behalf of NIAB

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Akbarabadi, A, Kahrizi, D, Rezaizad, A, Ahmadi, GH, Ghobadi, M and Molsaghi, M (2015) Study of variability of bread wheat lines based on drought resistance indices. Biharean Biologist 9: 88–92, https://www.researchgate.net/publication/292463101.Google Scholar
Brbaklic, L, Trkulja, D, Kondic-spika, A, Treskic, S and Kobiljski, B (2013) Detection of QTLs for important agronomical traits in hexaploid wheat using association analysis. Plant Breeding 49: 1–8.Google Scholar
Brbaklic, L, Trkulja, D, Kondic-spika, A, Hristov, N, Dencic, S, Micic, S, Tomicic, M and Kobiljski, B (2015) Genetic associations in the detection of QTLs for wheat spike-related traits. Brasília 50: 149–159.Google Scholar
Cattivelli, L, Rizza, F, Badeck, FW, Mazzucotelli, E, Mastrangelo, AM, Francia, E, Mare, C, Tondelli, A and Santaca, AM (2008) Drought tolerance improvement in crop plants: an integrated view from breeding to genomics. Field Crops Research 105: 1–14.CrossRefGoogle Scholar
Chen, Y, Palta, J, Vara Prasad, PV and Siddique, KHM (2020) Phenotypic variability in bread wheat root systems at the early vegetative stage. BioMed Central Plant Biology 20: 185–201.CrossRefGoogle ScholarPubMed
Comas, LH, Becker, SR, Cruz, VMV, Byrne, PF and Dierig, DA (2013) Root traits contributing to plant productivity under drought. Plant Science 20: 442–458, doi:10.3389/fpls.2013.00442.Google Scholar
Doyle, JJ and Doyle, JL (1987) A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin 19: 11–15.Google Scholar
Fensham, RJ and Fairfax, RJ (2007) Drought-related tree death of savanna eucalypts species susceptibility, soil conditions and root architecture. Journal of Vegetation Science 18: 71–80.CrossRefGoogle Scholar
Genc, Y, Huang, CY and Langridge, P (2007) A study of the role of root morphological traits in growth of barley in zinc-deficient soil. Journal of Experimental Botany 5: 2775–2784.CrossRefGoogle Scholar
Herder, GD, Isterdael, GV, Beakman, T and Smet, ID (2010) The roots of a new green revolution interactions for grain yield. Trend Plants Science 15: 600–607.CrossRefGoogle Scholar
Iannucci, A, Marone, D, Anna Russo, M, De Vita, P, Miullo, V, Ferragonio, P, Blanco, A, Gadaleta, A and Mastrangelo, AM (2017) Mapping QTL for root and shoot morphological traits in a Durum wheat× T. dicoccum segregating population at seedling stage. International Journal of Genomics 23: 63–80, doi:10.1155/2017/6876393.Google Scholar
Isras, A, Ali, N, Ahmad, H and Inamullah, H (2017) Association mapping of root traits for drought tolerance in bread wheat. InTech 11: 39–55, https://www.researchgate.net/publication/317154370.Google Scholar
Khaled, GA, Motawea, MH and Said, AA (2015) Identification of ISSR and RAPD markers linked to yield traits in bread wheat under normal and drought conditions. Journal of Genetic Engineering and Biotechnology 13: 243–252.CrossRefGoogle ScholarPubMed
Liakat-Ali, M, Luetchens, J, Singh, A, Shaver, TM, Kruger, GR and Lorenz, AJ (2016) Greenhouse screening of maize genotypes for deep root mass and related root traits and their association with grain yield under water-deficit conditions in the field. Euphytica 207: 79–94, doi:10.1007/s10681-015-1533-x.Google Scholar
Mandal, KG, Hati, KM, Misra, AK, Ghosh, PK and Bandyopadhyay, KK (2003) Root density and water use efficiency of wheat as affected by irrigation and nutrient management. Journal of Agricultural Physics 3: 49–55, https://www.researchgate.net/publication/267823995.Google Scholar
Manschadi, AM, Christopher, J, Devoil, P and Hammer, GL (2006) The role of root architectural traits in adaptation of wheat to water-limited environments. Functional Plant Biology 33: 823–837.CrossRefGoogle ScholarPubMed
Mirdarikvand, R, Najafian, G, Bihamta, MR and Ebrahimi, A (2018) Mapping some seed quality traits in bread wheat (Triticum aestivum L.) by association mapping using SSR markers. Journal of Applied Biotechnology Reports 5: 92–99, https://www.researchgate.net/publication/330080156.CrossRefGoogle Scholar
Narayanan, S, Mohan, A, Gill, KS and Prasad, PVV (2014) Variability of root traits in spring wheat germplasm. PLoS One 9: 1–15.CrossRefGoogle ScholarPubMed
Neumann, K, Kobiljski, B, Dencic, S, Varsheny, RK and Borner, A (2011) Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.). Molecular Breeding 27: 37–58.CrossRefGoogle Scholar
Ni, Z, Li, H, Zhao, Y, Peng, H, Hu, Z, Xin, M and Sun, Q (2018) Genetic improvement of heat tolerance in wheat: recent progress in understanding the underlying molecular mechanisms. The Crop Journal 6: 32–41.CrossRefGoogle Scholar
Padilla, FI and Pugnaire, FI (2007) Rooting depth and soil moisture control Mediterranean woody seedling survival during drought. Functional Ecology 21: 489–495.CrossRefGoogle Scholar
Paula, P and Pausas, JG (2011) Root traits explain different foraging strategies between reporting life histories. Oecologia 165: 321–331, https://www.researchgate.net/publication/47500547.CrossRefGoogle Scholar
Rostami-Ahmadvandi, H, Cheghamirza, K, Kahrizi, D and Bahraminejad, S (2013) Comparison of morpho-agronomic traits versus RAPD and ISSR markers in order to evaluate genetic diversity among Cuminum cyminum L. Accessions. Australian Journal of Crop Science 7: 361–367, https://www.researchgate.net/publication/235769523.Google Scholar
Sharma, S, Xo, 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 Applied Genetics 122: 759–769.CrossRefGoogle ScholarPubMed
Shen, L, Courtois, B, McNally, KL, Robin, S and Li, Z (2001) Evaluation of near-isogenic lines of rice introgressed with QTLs for root depth through marker-aided selection. Theoretical and Applied Genetics 103: 75–83.CrossRefGoogle Scholar
Tshikunde, NM, Mashilo, J, Shimeli, H and Odindo, A (2019) Agronomic and physiological traits, and associated quantitative trait loci (QTL) affecting yield response in wheat (Triticum aestivum L.): a review. Frontiers in Plant Science 10: 1428–1446.CrossRefGoogle ScholarPubMed
Verma, H, Borah, JL and Sarma, RN (2019) Variability assessment for root and drought tolerance traits and genetic diversity analysis of rice germplasm using SSR markers. Science Reports 9: 16513–16531, doi:10.1038/s41598-019-52884-1.CrossRefGoogle ScholarPubMed
Xu, YF, Li, SSH, Li, LH, Ma, FF, Shi, ZL, Xu, HX, Ma, PT and An, DG (2017) QTL mapping for yield and photosynthetic related traits under different water regimes in wheat. Molecular Breeding 37: 34–50.CrossRefGoogle Scholar
Ye, H, Roorkiwal, M, Valliyodan, B, Zhou, L, Chen, P, Varshney, RK and Nguyen, HT (2018) Genetic diversity of root system architecture in response to drought stress in grain legumes. Journal of Experimental Botany 69: 3267–3277.CrossRefGoogle ScholarPubMed
Zhu, C, Gore, ME, Buckler, S and Yu, J (2008) Status and prospects of association mapping in plants. The plant genome 1: 5–20, https://www.researchgate.net/publication/242690604.CrossRefGoogle Scholar
Supplementary material: File

Safari and Mehrabi supplementary material

Tables S1-S3

Download Safari and Mehrabi supplementary material(File)
File 22.6 KB