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Variation in tolerance to drought among Tunisian populations of Medicago truncatula

Published online by Cambridge University Press:  17 March 2015

Mounawer Badri ,
Imen Bouhaouel ,
Soumaya Arraouadi ,
Wael Taamalli ,
Thierry Huguet  and
Mohamed Elarbi Aouani
Mounawer Badri*
Affiliation:
Laboratory of Extremophile Plants, Centre of Biotechnology of Borj Cedria, B.P. 901, Hammam-Lif2050, Tunisia
Imen Bouhaouel
Affiliation:
National Institute of Agronomy of Tunis, 43, Avenue Charles Nicolle 1082, Tunis-Mahrajen, Tunisia
Soumaya Arraouadi
Affiliation:
Regional Centre for Agriculture Research, B.P. 357, Sidi Bouzid9100, Tunisia
Wael Taamalli
Affiliation:
Laboratory of Extremophile Plants, Centre of Biotechnology of Borj Cedria, B.P. 901, Hammam-Lif2050, Tunisia
Thierry Huguet
Affiliation:
Laboratoire de Symbiose et Pathologie des Plantes, INP-ENSAT, B.P. 107, 31326Castanet Tolosan Cedex, France
Mohamed Elarbi Aouani
Affiliation:
Centre of Biotechnology of Borj Cedria, B.P. 901, Hammam-Lif2050, Tunisia
*
*Corresponding author. E-mail: [email protected]; [email protected]
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Abstract

We analysed the natural variation of drought response in 11 Tunisian populations of Medicago truncatula sampled from environments that varied in soil composition, salinity and water availability. Plants were cultivated in a greenhouse under well-irrigated and water-deficit treatments (50% of field capacity), and a number of traits associated with drought response were measured. Variance analysis indicated that the variation of phenotypic traits was explained by the effects of population, line, treatment, and population × treatment and line × treatment interactions, with treatment being the one with the greatest effect. A large degree of phenotypic variation for most traits in the two water treatments was found within populations. Most of the measured characters showed higher broad-sense heritabilities (H2) in well-irrigated treatment than in water-deficit treatment. Furthermore, the largest population differentiation (QST) for most of the measured traits was observed under drought stress. Most of the correlations between measured traits under both treatments were positive. Four groups of lines differing in drought tolerance were identified, with 45 susceptible, 14 moderately susceptible, 31 tolerant and 23 most tolerant lines. The tolerant group experienced lowest reductions in the length of plagiotropic axes, length of stems, number of internodes and number of leaves. The large phenotypic variation of M. truncatula in response to drought stress can be used to identify genes and alleles important for the complex trait of drought tolerance.

Keywords

genetic diversitylocal adaptationpopulation differentiationwater deficit
Type
Research Article
Information
Plant Genetic Resources , Volume 14 , Issue 1 , March 2016 , pp. 41 - 49
Copyright
Copyright © NIAB 2015 

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References

Arraouadi, S, Badri, M, Jaleel, CA, Djébali, N, Ilahi, H, Huguet, T and Aouani, ME (2009) Analysis of genetic variation in natural populations of Medicago truncatula of southern Tunisian ecological areas, using morphological traits and SSR markers. Tropical Plant Biology 2: 122–132.Google Scholar
Arraouadi, S, Badri, M, Taamalli, W, Huguet, T and Aouani, ME (2011) Variability salt stress response analysis of Tunisian natural populations of Medicago truncatula (Fabaceae) using salt response index (SRI) ratio. African Journal of Biotechnology 10: 10636–10647.Google Scholar
Atwell, S, Huang, Y, Vilhjalmsson, BJ, Willems, G, Horton, M, Li, Y, Meng, D, Platt, A, Tarone, AM, Hu, TT, Jiang, R, Muliyati, NW, Zhang, X, Amer, MA, Baxter, I, Brachi, B, Chory, J, Dean, C, Debieu, M, de Meaux, J, Ecker, JR, Faure, N, Kniskern, JM, Jones, JD, Michael, T, Nemri, A, Roux, F, Salt, DE, Tang, C, Todesco, M, Traw, MB, Weigel, D, Marjoram, P, Borevitz, JO, Bergelson, J and Nordborg, M (2010) Genome-wide association study of 107 phenotypes in a common set of Arabidopsis thaliana inbred lines. Nature 465: 627–631.Google Scholar
Badri, M, Ilahi, H, Huguet, T and Aouani, ME (2007) Quantitative and molecular genetic variation in sympatric populations of Medicago laciniata and M. truncatula (Fabaceae): relationships with eco-geographical geographical factors. Genetics Research 89: 107–122.Google Scholar
Badri, M, Arraouadi, S, Huguet, T and Aouani, ME (2010) Comparative effects of water deficit on Medicago laciniata and M. truncatula lines sampled from sympatric populations. Journal of Plant Breeding and Crop Science 2: 192–204.Google Scholar
Badri, M, Chardon, F, Huguet, T and Aouani, ME (2011) Quantitative Trait Loci associated with drought tolerance in the model legume Medicago truncatula . Euphytica 181: 415–428.CrossRefGoogle Scholar
Badyaev, AV, Foresman, KR and Young, RL (2005) Evolution of morphological integration: II. Developmental accommodation of stress-induced variation. The American Naturalist 166: 382–395.CrossRefGoogle Scholar
Cook, DR (1999) Medicago truncatula – a model in the making! Current Opinion in Plant Biology 2: 301–304.CrossRefGoogle Scholar
Dita, MA, Rispail, N, Prats, E, Rubiales, D and Singh, KB (2006) Biotechnology approaches to overcome biotic and abiotic stress constraints in legumes. Euphytica 147: 1–24.CrossRefGoogle Scholar
Eckhart, VM, Geber, MA and McGuire, C (2004) Experimental studies of selection and adaptation in Clarkia xantiana Onagraceae. I. Sources of phenotypic variation across a subspecies border. Evolution 58: 59–70.Google Scholar
Gomez-Mestre, I and Tejedo, M (2004) Contrasting patterns of quantitative and neutral genetic variation in locally adapted populations of the natterjack toad, Bufo calamita . Evolution 58: 2343–2352.Google ScholarPubMed
Graham, PH and Vance, CP (2003) Legumes: importance and constraints to greater use. Plant Physiology 131: 872–877.CrossRefGoogle ScholarPubMed
Jaleel, CA, Gopi, R, Sankar, B, Gomathinayagam, M and Panneerselvam, R (2008) Differential responses in water use efficiency in two varieties of Catharanthus roseus under drought stress. Comptes Rendus Biologies 331: 42–47.CrossRefGoogle ScholarPubMed
Jaleel, CA, Manivannan, P, Wahid, A, Farooq, M, Al-Juburi, HJ, Somasundaram, R and Panneerselvam, R (2009) Drought stress in plants: a review on morphological characteristics and pigments composition. International Journal of Agriculture and Biology: 1814–9596.Google Scholar
Johansen, C, Baldev, B, Brouwer, JB, Erskine, W, Jermyn, WA, Li-Juan, L, Malik, BA, Ahad Miah, A and Silim, SN (1992) Biotic and abiotic stresses constraining productivity of cool season food legumes in Asia, Africa and Oceania. In: Muehlbauer, FJ and Kaiser, WJ (eds) Expanding the Production and Use of Cool Season Food Legumes. Dordrecht: Kluwer, pp. 175–194.Google Scholar
Jump, AS, Marchant, R and Peñuelas, J (2009) Environmental change and the option value of genetic diversity. Trends in Plant Science 14: 51–58.Google Scholar
Korte, A and Farlow, A (2013) The advantages and limitations of trait analysis with GWAS: a review. Plant Methods 9: 29.Google Scholar
Lazrek, F, Roussel, V, Ronfort, J, Cardinet, G, Chardon, F, Aouani, ME and Huguet, T (2009) The use of neutral and non-neutral SSRs to analyse the genetic structure of a Tunisian collection of Medicago truncatula lines and to reveal associations with eco-environmental variables. Genetica 135: 391–402.Google Scholar
Lesins, KA and Lesins, I (1979) Genus Medicago Leguminosae. In: Junk, W (ed.) A Taxogenetic Study. The Netherlands: The Hague, pp. 1–228.Google Scholar
Leung, H (2008) Stressed genomics-bringing relief to rice fields. Current Opinion in Plant Biology 11: 201–208.Google Scholar
Neji, M, Geuna, F, Taamalli, W, Ibrahim, Y, Smida, M, Badri, M, Abdelly, C and Gandour, M (2014) Morpho-phenological diversity among Tunisian natural populations of Brachypodium hybridum . The Journal of Agricultural Science: 1–11. doi:10.1017/S0021859614000689.Google Scholar
Nienhuis, J, Sills, GR, Martin, B and King, G (1994) Variance for water-use efficiency among ecotypes and recombinant inbred lines of Arabidopsis thaliana Brassicaceae. American Journal of Botany 81: 943–947.Google Scholar
Sacks, MM, Silk, WK and Burman, P (1997) Effect of water stress on cortical cell division rates within the apical meristem of primary roots of maize. Plant Physiology 114: 519–527.Google Scholar
Sambatti, JBM and Rice, KJ (2007) Functional ecology of ecotypic differentiation in the Californian serpentine sunflower Helianthus exilis . New Phytologist 175: 107–119.Google Scholar
Slama, I, Messedi, D, Ghnaya, T, Savouré, A and Abdelly, C (2006) Effects of water deficit on growth and proline metabolism in Sesuvium portulacastrum . Environmental and Experimental Botany 56: 231–238.Google Scholar
Tahir, MHN, Imran, M and Hussain, MK (2002) Evaluation of sunflower (Helianthus annuus L.) inbred lines for drought tolerance. International Journal of Agriculture and Biology 3: 398–400.Google Scholar
Teulat, B, Monneveux, P, Wery, J, Borries, C, Souyris, I, Charrier, A and This, D (1997) Relationships between relative water content and growth parameters under water stress in barely: a QTL study. New Phytologist 137: 99–107.Google Scholar
Teulat, B, Merah, O, Souyris, I and This, D (2001) QTLs for agronomic traits from a Mediterranean barely progeny grown under several environments. Theoretical and Applied Genetics 103: 774–787.CrossRefGoogle Scholar
Tuberosa, R and Salvi, S (2006) Genomics-based approaches to improve drought tolerance of crops. Trends in Plant Science 118: 405–412.CrossRefGoogle Scholar
Vadez, V, Rodier, F, Payre, H and Drevon, JJ (1996) Nodule permeability and nitrogenase-linked respiration in bean genotypes varying in the tolerance to P deficiency. Plant Physiology and Biochemistry 35: 671–678.Google Scholar
Verslues, PE, Agarwal, M, Katiyar-Agarwal, S, Zhu, J and Zhu, JK (2006) Methods and concepts in quantifying resistance to drought, salt and freezing, abiotic stresses that affect plant water status. The Plant Journal 45: 523–539.CrossRefGoogle ScholarPubMed
Wu, CA, Lowry, DB, Nutter, LI and Willis, JH (2010) Natural variation for drought-response traits in the Mimulus guttatus species complex. Oecologia 162: 23–33.Google Scholar
Wullschleger, S, Yin, TM, DiFazio, SP, Tschaplinski, TJ, Gunter, LE, Davis, MF and Tuskan, GA (2005) Phenotypic variation in growth and biomass distribution for two advanced-generation pedigrees of hybrid poplar. Canadian Journal of Forest Research 35: 1779–1789.CrossRefGoogle Scholar
Yamaguchi-Shinozaki, K, Kasuga, M, Liu, Q, Nakashima, K, Sakuma, Y, Abe, H, Shinwari, ZK, Seki, M and Shinozaki, K (2002) Biological mechanisms of drought stress response. JIRCAS Working Report 23: 1–8.Google Scholar
Young, ND and Udvardi, M (2009) Translating Medicago truncatula genomics to crop legumes. Current Opinion in Plant Biology 12: 193–201.CrossRefGoogle ScholarPubMed
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