Abstract
Water deficit stress (WDS) is a serious constraint to wheat productivity in rain-fed and limited irrigation environments. Identifying genomic regions responsible for grain yield (GY) under WDS will aid in understanding the genetics of drought tolerance (DT) and development of DT cultivars. A population of 206 recombinant inbred lines derived from WL711/C306 was phenotyped for GY and related traits under water deficit and irrigated conditions in seven different environments to identify genomic regions associated with eleven yield related traits. Both the parents contributed positive alleles for the traits studied. A novel genomic region for GY under WDS, qGYWD.3B.1 was detected on chromosome 3BS of wheat. The yield enhancing allele under drought stress at this locus was contributed by DT parent C306. This genomic region explained 18.7 % of phenotypic variation for GY under WDS and co-located with genomic regions for GY components. Another novel, consistent genomic region for GY under WDS, qGYWD.3B.2 explained 19.6 % of phenotypic variation with positive allele coming from drought susceptible parent WL711. A novel genomic region for drought susceptibility index for GY, qDSIGY.4A.1 was consistently detected in six of seven environments explaining 15.6 % of phenotypic variation. Other important genomic regions for GY and biomass under WDS were mapped on chromosomes 7BL and 6AS, respectively. Fine mapping of the major QTLs on chromosome 3BS will enable identification of robust markers and candidate genes for marker-assisted breeding for DT in wheat.
Similar content being viewed by others
References
Aggarwal PK, Sinha SK (1984) Effect of water stress on grain growth and assimilate partitioning in two cultivars of wheat contrasting in their yield stability in a drought environment. Ann Bot 53(3):329–340
Alexander LM, Kirigwi FM, Fritz AK, Fellers JP (2012) Mapping and quantitative trait loci analysis of drought tolerance in a spring wheat population using amplified fragment length polymorphism and diversity array technology markers. Crop Sci 52:254–261
Araus JL, Slafer GA, Royo C, Dolores SM (2008) Breeding for yield potential and stress adaptation in cereals. Crit Rev Plant Sci 27:377–412
Ashikari M, Sakakibara H, Lin S, Yamamoto T, Takashi T, Nishimura A, Enrique R, Qian AQ, Kitano H, Matsuoka M (2005) Cytokinin oxidase regulates rice grain production. Science 309:741–745
Babu RC (2010) Breeding for drought resistance in rice: an integrated view from physiology to genomics. Electron J Plant Breed 1:1133–1141
Barrs HD, Weatherley PE (1962) A re-examination of the relatively turgidity technique for estimating water deficits in leaves. Aus J Biol Sci 24:413–428
Bennett D, Izanloo A, Reynolds M, Kuchel H, Langridge P, Schnurbusch T (2012a) Genetic dissection of grain yield and physical grain quality in bread wheat (Triticum aestivum L.) under water-limited environments. Theor Appl Genet 125:255–271
Bennett D, Reynolds M, Mullen D, Izanloo A, Kuchel H, Langridge P, Schnurbusch T (2012b) Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments. Theor Appl Genet 125:1473–1485. doi:10.1007/s00122-012-1927-2
Bernier J, Kumar A, Venuprasad R, Spaner D, Atlin GN (2007) A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. Crop Sci 47:507–516
Blum A (2011) Drought resistance and its improvement. In: Plant breeding for water-limited environments. Springer, New York, pp 53–187
Bogard M, Jourdan M, Allard V, Martre P, Perretant MR, Ravel C, Heumez E, Orford S, Snape J, Griffiths S, Gaju O, Foulkes J, Le Gouis J (2011) Anthesis date mainly explained correlations between post-anthesis leaf senescence, grain yield, and grain protein concentration in a winter wheat population segregating for flowering time QTL. J Exp Bot 62:3621–3636. doi:10.1093/jxb/err061
Borner A, Schumann E, Furste A, Coster H, Leithold B et al (2002) Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet 105:921–936
Campbell BT, Baenziger PS, Gill KS, Eskridge KM, Budak H, Erayman M, Dweikat I, Yen Y (2003) Identification of QTLs and environmental interactions associated with agronomic traits on chromosome 3A of wheat. Crop Sci 43:1493–1505
Cattivelli L, Rizza F, Badeck FW, Mazzucotelli E, Mastrangelo AM, Francia E, Mare C, Tindelli A, Stanca AM (2008) Drought tolerance improvement in crop plants, An integrated view from breeding to genomics. Field Crops Res 105:1–14
Chen TH, Murata N (2008) Glycinebetaine: an effective protectant against abiotic stress in plants. Trends Plant Sci 13:499–505
Cho JI, Lee SK, Ko S, Kim H, Jun S, Lee Y, Bhoo SH, Lee K, An G, Hahn T, Jeon JS (2005) Molecular cloning and expression analysis of the cell wall invertase gene family in rice (Oryza sativa L.). Plant Cell Rep 24:225–236
Collins NC, Tardieu F, Tuberosa R (2008) Quantitative trait loci and crop performance under abiotic stress: where do we stand? Plant Physiol 147:469–486
Darvasi A, Weinreb A, Minke V, Weller JI, Soller M (1993) Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map. Genetics 134:943–951
Diab AA, Béatrice TM, Dominique T, Neslihan ZO, David B, Mark ES (2004) Identification of drought-inducible genes and differentially expressed sequence tags in Barley. Theor Appl Genet 109:1417–1425
Diab AA, Kantety R, La Rota CM, Sorrells ME (2007) Comparative genetics of stress-related genes and chromosomal regions associated with drought tolerance in wheat, barley and rice. Genes Genomes Genomics 1:47–55
Fischer RA, Maurer R (1978) Drought resistance in spring wheat cultivars. I. Grain yield responses in spring wheat. Aust J Agric Sci 29:892–912
Fleury D, Stephen JS, Kuchel H, Langridge P (2010) Genetic and genomic tools to improve drought tolerance in wheat. J Exp Bot 61:3211–3222
Graziani M, Maccaferri M, Salvi S, Sanguineti MC, Paux E, Feuillet C, Simkova H, Dolezel J, Massi A, Tuberosa R (2013) Characterization and fine mapping of QYld.idw-3B, a major QTL for grain yield in durum wheat. Plant animal genome conference XXI, January 12–16, San Diego. http://pag.confex.com/pag/xxi/webprogram/paper7528.html
Hanocq E, Niarquin M, Heumez E, Rousset M, Gouis JL (2004) Detection and mapping of QTL for earliness components in a bread wheat recombinant inbred lines population. Theor Appl Genet 110:106–115
Hirose T, Takano M, Terao T (2002) Cell wall invertase in developing rice caryopsis: molecular cloning of OsCIN1 and analysis of its expression in relation to its role in grain filling. Plant Cell Physiol 43:452–459
Jiang C, Zeng ZB (1995) Multiple trait analysis of genetic mapping for quantitative trait loci. Genetics 140:1111–1127
Joshi AK, Mishra B, Chatrath R, Ortiz FG, Singh RP (2007) Wheat improvement in India: present status, emerging challenges and future prospects. Euphytica 157:431–446
Kadam S, Singh K, Shukla S, Goel S, Vikram P, Pawar V, Gaikwad K, Khanna-Chopra R, Singh NK (2012) Genomic association for drought tolerance on the short arm of wheat chromosome 4B. Funct Integr Genomics 12:447–464
Kamoshita A, Zhang JX, Siopongco J, Sarkarung S, Nguyen HT, Wade LJ (2002) Effects of phenotyping environment on identification of quantitative trait loci for rice root morphology under anaerobic conditions. Crop Sci 42:255–265
Khanna-Chopra R, Selote DS (2007) Acclimation to drought stress generates oxidative stress tolerance in drought-resistant than -susceptible wheat cultivar under field conditions. Environ Exp Bot 60:276–283
Khanna-Chopra R, Shukla S, Singh K, Kadam SB, Singh NK (2013) Characterization of the high yielding and drought tolerant rils identified from the wheat cross WL711/C306 RIL mapping population using drought susceptibility index (DSI) as selection criteria. Indian J Plant Genet Resour 26:25–31
Kirigwi FM, Van Ginkel M, Brown-Guedira G, Gill BS, Poulsen GM, Fritz AK (2007) Markers associated with a QTL for grain yield in wheat under drought. Mol Breed 20:401–413
Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugen 12:172–175
Kumar S, Sehgal SK, Kumar U, Prasad PVV, Joshi AK, Gill BS (2012) Genomic characterization of drought tolerance related traits in spring wheat. Euphytica 186:265–276
Lian X, Xing Y, Yan H, Xu C, Li X, Zhang Q (2005) QTL for low nitrogen tolerance at seedling stage identified using a recombinant inbred line population derived from an elite rice hybrid. Theor Appl Genet 112:85–96
Liang Y, Zhang K, Zhao L (2010) Identification of chromosome regions conferring dry matter accumulation and photosynthesis in wheat (Triticum aestivum L.). Euphytica 171:145–156
Lincoln P, Mitchell J, Scedrov A, Shankar N (1992) Decision problems for propositional linear logic. Ann Pure Appl Logic 56:239–311
Lopes MS, Reynolds MP, McIntyre CL, Mathews KyL, Kamali MRJ, Mossad M, Feltaous Y, Tahir ISA, Chatrath R, Ogbonnaya F, Baum M (2013) QTL for yield and associated traits in the Seri/Babax population grown across several environments in Mexico, in the West Asia, North Africa, and South Asia regions. Theor Appl Genet 126:971–984
Maccaferri M, Sanguineti MC, Corneti S, Ortega JL, Salem MB, Bort J, DeAmbrogio E, del Moral LF, Demontis A, El-Ahmed A, Maalouf F, Machlab H, Martos V, Moragues M, Motawaj J, Nachit M, Nserallah N, Ouabbou H, Royo C, Slama A, Tuberosa R (2008) Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability. Genetics 178:489–511
Mayer KF, Martis M, Hedley PE, Simková H, Liu H, Morris JA, Steuernagel B, Taudien S, Roessner S, Gundlach H, Kubaláková M, Suchánková P, Murat F, Felder M, Nussbaumer T, Graner A, Salse J, Endo T, Sakai H, Tanaka T, Itoh T, Sato K, Platzer M, Matsumoto T, Scholz U, Dolezel J, Waugh R, Stein N (2011) Unlocking the barley genome by chromosomal and comparative genomics. Plant Cell 23:1249–1263
McIntyre CL, Mathews KL, Rattey A, Drenth J, Ghaderi M, Reynolds M, Chapman SC, Shorter R (2010) Molecular detection of genomic regions associated with grain yield, yield components in an elite bread wheat cross evaluated under irrigated, rainfed conditions. Theor Appl Genet 120:527–541
Mir RR, Mainassara ZA, Sreenivasulu N, Trethowan R, Varshney RK (2012) Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops. Theor Appl Genet 125:625–645. doi:10.1007/s00122-012-1904-9
Miralles DJ, Slafer GA (2007) Sink limitations to yield in wheat, how could it be reduced? J Agric Sci 145:139–149
Mohapatra PK, Patro L, Raval MK, Ramaswamy NK, Biswal UC, Biswal B (2010) Senescence-induced loss in photosynthesis enhances cell wall β-glucosidase activity. Physiol Plant 138:346–355
Murray MG, Thompson WF (1980) Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res 8:4321–4326
Nguyen TTT, Klueva N, Chamareck V, Aarti A, Magpantay G, Millena ACM, Pathan MS, Nguyen HT (2004) Saturation mapping of QTL regions and identification of putative candidate genes for drought tolerance in rice. Mol Genet Genomics 272:35–46
Noctor G, Foyer CH (1998) Simultaneous measurement of foliar glutathione, γ-glutamylcysteine, and amino acids by high-performance liquid chromatography: comparison with two other assay methods for glutathione. Anal Biochem 264:98–110
Olivares-Villegas JJ, Reynolds MP, McDonald GK (2007) Drought adaptive attributes in the Seri x Babax hexaploid wheat population. Funct Plant Biol 34:189–203
Patil RV, Khanna-Chopra R (2006) Breeding for drought resistance in crops: physiological approaches. J Plant Biol 33:1–21
Peleg Z, Fahima T, Krugman T, Abbo S, Yakir D, Korol AB, Saranga Y (2009) Genomic dissection of drought resistance in durum wheat × wild emmer wheat recombinant inbred line population. Plant, Cell Environ 32:758–779
Pinto RS, Reynolds MP, Mathews KL, McIntyre CL, Olivares-Villegas JJ, Chapman SC (2010) Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects. Theor Appl Genet 121:1001–1021
Quarrie SA, Steed A, Calestani C (2005) A high density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring x SQ1 and its use to compare QTL for grain yield across a range of environments. Theor Appl Genet 110:865–880
Quarrie SA, Quarrie SP, Radosevic R, Rancic D, Kaminska A, Barnes JD, Leverington M, Ceoloni C, Dodig D (2006) Dissecting a wheat QTL for yield present in a range of environments: from the QTL to candidate genes. J Exp Bot 57:2627–2637
Rattey A, Shorter R, Chapman S, Dreccer F, van Herwaarden A (2009) Variation for and relationship among biomass and grain yield components traits conferring improved yield and grain weight in elite wheat population grown in variable yield environment. Crop Pasture Sci 60:717–729
Rebetzke GJ, van Herwaarden AF, Jenkins C, Weiss M, Lewis D, Ruuska S, Tabe L, Fettell NA, Richards RA (2008) Quantitative trait loci for water-soluble carbohydrates, associations with agronomic traits in wheat. Aust J Agric Res 59:891–905
Reynolds MP, Ortiz R (2010) Adapting crops to climate change: a summary. In: Reynolds M P (eds) Climate change and crop production, CABI series in climate change. CPI, V1 Chippenham, pp 1–8
Reynolds M, Manes Y, Izanloo A, Langridge P (2009) Phenotyping approaches for physiological breeding and gene discovery in wheat. Ann Appl Biol 155:309–320
Robin S, Pathan MS, Courtois B, Lafitte R, Carandang S, Lanceras S, Amante M, Nguyen HT, Li Z (2003) Mapping osmotic adjustment in an advanced backcross inbred population of rice. Theor Appl Genet 107:1288–1296
Rustgi S, Shafqat MN, Kumar N, Baenziger PS, Ali ML, Dweikat I, Cambell BT, Gill KS (2013) Genetic dissection of yield and its component traits using high density composite map of wheat chromosome 3A: bridging gaps between QTLs and underlying genes. PLoS ONE 8:e70526. doi:10.1371/journal.pone.0070526
Singh NK, Dalal V, Batra K, Singh BK, Chitra G, Singh A, Ghazi IA, Yadav MJ, Pandit A, Dixit R, Singh PK, Singh H, Koundal KR, Gaikwad K, Mohapatra T, Sharma TR (2007) Single-copy genes define a conserved order between rice and wheat for understanding differences caused by duplication, deletion and transposition of genes. Funct Integr Genomics 7:17–35
Sinha SK, Aggrawal PK, Chaturvedi GS, Singh AK, Kailasnathan K (1986) Performance of wheat and Triticale cultivar in a variable soil-water environment I. Grain yield stability. Field Crops Res 13:289–299
Slafer GA, Satorre EH, Andrade H (1994) Increases in grain yield in bread wheat from breeding and associated physiological changes. In: Slafer GA (ed) Genetic improvement of field crops. Marcel Dekker Inc, New York, pp 1–67
Snape JW, Foulkes J, Simmonds J, Leverington M, Fish LJ, Wang Y, Ciavarrella M (2007) Dissecting gene × environmental effects on wheat yields via QTL and physiological analysis. Euphytica 154:401–408
Somers DJ, Isaac P, Edwards K (2004) A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor Appl Genet 109:1105–1114
Sorrells ME, Rota ML, Bermudez-Kandianis CE et al (2003) Comparative DNA analysis of wheat and rice genomes. Genome Res 13:1818–1827
The International Barley Genome Sequencing Consortium (2012) A physical, genetic and functional sequence assembly of the barley genome. Nature 491:711–717
The International wheat genome sequencing consortium (2012) Analysis of the bread wheat genome using whole-genome shotgun sequencing. Nature 491:705–710
Tondelli A, Francia E, Barabaschi D, Aprile A, Skinner JS, Stockinger EJ, Stanca AM, Pecchioni N (2006) Mapping regulatory genes as candidates for cold and drought stress tolerance in barley. Theor Appl Genet 112:445–454
Vikram P, Swamy BPM, Dixit S, Ahmed HU, Sta Cruz MT, Singh AK, Kumar A (2011) qDTY1.1, a major QTL for rice grain yield under reproductive-stage drought stress with a consistent effect in multiple elite genetic backgrounds. BMC Genet 12:89. doi:10.1186/1471-2156-12-89
Wasson AP, Richards RA, Chatrath R, Misra SC, Prasad SVS, Rebetzke GJ, Kirkegaard JA, Christopher J, Watt M (2012) Traits and selection strategies to improve root systems and water uptake in water-limited wheat crops. J Exp Bot 63:3485–3498
Webster H, Keeble G, Dell B, Fosu-Nyarko J, Mukai Y, Moolhuijzen P, Bellgard M, Jia J, Kong X, Feuillet C, Choulet F, International Wheat Genome Sequencing Consortium (2012) Genome-level identification of cell wall invertase genes in wheat for the study of drought tolerance. Funct Plant Biol 39:569–579
Wu X, Chang X, Jing R (2012) Genetic insight into yield associated traits of wheat grown in multiple rain fed environments. PLoS ONE 7:e31249
Xu CG, Li XQ, Xue Y, Huang YW, Gao J, Xing YZ (2004) Comparison of quantitative trait loci controlling seedling characteristics at two seedling stages using rice recombinant inbred lines. Theor Appl Genet 109:640–647
Yang DL, Jing RL, Chang XP, Li W (2007) Identification of quantitative trait loci, environmental interactions for accumulation, remobilization of water-soluble carbohydrates in wheat (Triticum aestivum L.) stems. Genetics 176(571):584
Zalewski W, Galuszka P, Gasparis S, Orczyk W, Nadolska-Orczyk A (2010) Silencing of the HvCKX1 gene decreases the cytokinin oxidase/dehydrogenase level in barley and leads to higher plant productivity. J Exp Bot 61:1839–1851
Zeng H, Zhong Y, Luo L (2006) Drought tolerance genes in rice. Funct Integr Genomics 6:338–341
Zhao Y (2010) Auxin biosynthesis and its role in plant development. Ann Rev Plant Biol 61:49–64
Acknowledgments
We are thankful to Dr. Jag Shoran and Dr. Sai Prasad for their help in conducting experiments at Karnal and Indore respectively. We are thankful to the Indian Council of Agricultural Research for financial support under the NPTC project.
Author information
Authors and Affiliations
Corresponding author
Additional information
Sanyukta Shukla and Kalpana Singh have contributed equally to this work.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Shukla, S., Singh, K., Patil, R.V. et al. Genomic regions associated with grain yield under drought stress in wheat (Triticum aestivum L.). Euphytica 203, 449–467 (2015). https://doi.org/10.1007/s10681-014-1314-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10681-014-1314-y