PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2010 | 32 | 2 |

Tytuł artykułu

Molecular mapping and location of QTLs for drought-resistance traits in indica rice (Oryza sativa L.) lines adapted to target environments

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Drought is a major limitation for rice production in rainfed ecosystems. Identifying quantitative trait loci (QTLs) linked to drought resistance provides opportunity to breed high yielding rice varieties suitable for drought-prone areas. Although considerable efforts were made in mapping QTLs associated with drought-resistance traits in rice, most of the studies involved indica × japonica crosses and hence, the drought-resistance alleles were contributed mostly by japonica ecotypes. It is desirable to look for genetic variation within indica ecotypes adapted to target environment (TE) as the alleles from japonica ecotype may not be expressed under lowland conditions. A subset of 250 recombinant inbred lines (RILs) of F₈ generation derived from two indica rice lines (IR20 and Nootripathu) with contrasting drought-resistance traits were used to map the QTLs for morpho-physiological and plant production traits under drought stress in the field in TE. A genetic linkage map was constructed using 101 polymorphic PCR-based markers distributed over the 12 chromosomes covering a total length of 1,529 cM in 17 linkage groups with an average distance of 15.1 cM. Composite interval mapping analysis identified 22 QTLs, which individually explained 4.8–32.2% of the phenotypic variation. Consistent QTLs for drought-resistance traits were detected using locally adapted indica ecotypes, which may be useful for rainfed rice improvement.

Wydawca

-

Rocznik

Tom

32

Numer

2

Opis fizyczny

p.355-364,fig.,ref.

Twórcy

autor
  • Texas Agri Life Research, Texas A&M University System, Lubbock, TX 79403, USA
  • Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore 641003, India
autor
  • Department of Agronomy, Throckmorton Plant Sciences Centre, Kansas State University, Manhattan, KS 66506, USA
  • Central Research Institute for Jute and Allied Fibres (ICAR), Barrackpore, Kolkata, India
autor
  • Department of Agronomy, Throckmorton Plant Sciences Centre, Kansas State University, Manhattan, KS 66506, USA
  • Agricultural Research Station, Tamil Nadu Agricultural University, Paramakudi, India
autor
  • Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore 641003, India
autor
  • Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore 641003, India

Bibliografia

  • Ali ML, Pathan MS, Zhang J, Bai G, Sarkarung S, Nguyen HT (2000) Mapping QTLs for root traits in a recombinant inbred population from two indica ecotypes in rice. Theor Appl Genet 101:756–766
  • Amaravathi Y, Singh R, Singh AK, Singh VP, Mohapatra T, Sharma TR, Singh NK (2008) Mapping of quantitative trait loci for basmati quality traits in rice (Oryza sativa L.). Mol Breed 21:49–65
  • Babu RC, Shashidhar HE, Lilley JM, Thanh ND, Ray JD, Sadasivam S, Sarkarang S, O’Toole JC, Nguyen HT (2001) Variation in root penetration ability, osmotic adjustment and dehydration tolerance among accessions of rice adapted to rainfed lowland and upland ecosystems. Plant Breed 120(3):233–238
  • Babu RC, Nguyen BD, Chamarerk V, Shanmugasundaram P, Chezhian P, Jeyaprakash P, Ganesh SK, Palchamy A, Sadasivam S, Sarkarung S, Wade LJ, Nguyen HT (2003) Genetic analysis of drought resistance in rice by molecular markers: association between secondary traits and field performance. Crop Sci 43:1457–1469
  • Barrs HD, Weatherley PE (1962) A re-examination of the relative turgidity technique for estimating water deficits in leaves. Aust Biol Sci 15:413–428
  • Basten CJ, Weir BS, Zeng ZB (2005) QTL Cartographer version 2.5. Department of Statistics, North Carolina State University, USA
  • Bernier J, Kumar A, Ramaiah V, Spaner D, Atlin G (2007) A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. Crop Sci 47:507–518
  • Bernier J, Atlin GN, Serraj R, Kumar A, Spaner D (2008) Review: breeding upland rice for drought resistance. J Sci Food Agric 88(6):927–939
  • Biji KR, Jeyaprakash P, Ganesh SK, Senthil A, Babu RC (2008) Quantitative trait loci linked to plant production traits in rice under drought stress in a target environment. Sci Asia 34:265–272
  • Blum A, Mayer J, Golan G, Sinmena B (1999) Drought tolerance of a doubled-haploid line population of rice in the field. In: Ito O (ed) Genetic improvement of rice for water limited environments. International Rice Research Institute, Los Banos
  • Courtois B, Huang N, Guiderdoni E (1995) RFLP mapping of genes controlling yield components and plant height in an indica × japonica doubled haploid population. In: Proceedings of the International Rice Research Conference, Los Banos, 13–15 February 1995, pp 963–976
  • Courtois B, McLaren G, Sinha PK, Prasad K, Yadav R, Shen L (2000) Mapping QTL associated with drought avoidance in upland rice. Mol Breed 6:55–66
  • Evenson RE, Gollin G (2003) Assessing the impact of the green revolution, 1960–2000. Science 300:758–762
  • Garrity DP, O’Toole JC (1995) Selection for reproductive stage drought avoidance in rice using infrared thermometry. Agron J 87:773–779
  • Huang N, Courtois B, Khush GS, Lin H, Wang G, Wu P, Zheng K (1996) Association of quantitative trait loci for plant height with major dwarfing genes in rice. Heredity 77:130–137
  • Ingram K, Bueno TFD, Namuca OS, Yambao EB, Beyrouty CA (1994) Rice root traits for drought resistance and their genetic variation. In: Kirk GD (ed) Rice roots: nutrient and water use. IRRI, Los Banos, pp 67–77
  • IRRI (1995) Challenges and opportunities in a less favourable ecosystem: rainfed low land rice. IRRI information series No. 1. IRRI, Los Banos
  • IRRI (International Rice Research Institute) (1996) International network for genetic evaluation of rice: Standard evaluation system for rice. IRRI, Los Banos
  • IRRI (International Rice Research Institute) (2002) Rice almanac. IRRI-WARDA-CIAT-FAO, Los Banos
  • Kamoshita A, Zhang J, Siopongo J, Sarkarung S, Nguyen HT, Wade LJ (2002a) Effects of phenotyping environment on identification of quantitative trait loci for rice root morphology under anaerobic conditions. Crop Sci 42(1):255–265
  • Kamoshita A, Wade LJ, Ali ML, Pathan MS, Zhang J, Sarkarung S, Nguyen HT (2002b) Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions. Theor Appl Genet 104:880–893
  • Kamoshita A, Babu RC, Manikanda Boopathi N, Fukai S (2008) Phenotypic and genotypic analysis of drought-resistance traits for development of rice cultivars adapted to rainfed environments. Field Crops Res 109:1–23
  • Kanbar A, Shashidhar HE, Hittalmani S (2003) Mapping QTL associated with root and related traits in DH population of rice. Indian J Genet 62:287–290
  • Khush GS (2001) Green revolution: the way forward. Nature Rev 2:815–822
  • Lander ES, Green P, Abrahamson J, Barlow A, Daly M, Lincoln SE, Newburg L (1987) Mapmaker: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181
  • Lang NT, Buu BC, Ismail A (2008) Molecular mapping and marker assisted selection for salt tolerance in rice. Omorice 16:50–56
  • Li ZK, Xu JL (2007) Breeding for drought and salt tolerant rice (oryza sativa L.): progress and perspectives. In: Jenks MA et al (eds) Advances in molecular breeding toward drought and salt tolerant crops. Springer, USA, pp 531–564
  • Lincoln S, Daly M, Lander E (1992) Mapping genes controlling quantitative traits with MAPMAKER/EXP 3.0. Whitehead Institute Technical Report, 3rd edn. Whitehead Institute, Cambridge
  • Lou Q, Chen L, Sun Z, Xing Y, Li J, Xu J, Mei J, Luo L (2007) A major QTL associated with cold tolerance at seedling stage in rice. Euphytica 158:87–94
  • Manickavelu A, Nadarajan N, Ganesh SK, Gnanamalar RP, Chandra Babu R (2006) Drought tolerance in rice: morphological and molecular genetic consideration. Plant Growth Regul 50:121–138
  • McCouch SR, Kochert G, Yu ZH, Wang ZY, Khush GS, Coffman WR, Tanksley SD (1988) Molecular mapping of rice chromosomes. Theor Appl Genet 76:815–829
  • McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q, Kono I, Yano M, Fjellstrom R, Declerck G, Schneider D, Cartinhour S, Ware D, Stein L (2002) Development and mapping of 2240 new D SSR markers for rice. DNA Res 9(6):199–207
  • Michael Gomez S, Satheesh Kumar S, Jeyaprakash P, Suresh R, Biji KR, Manikanda Boopathi N, Price AH, Chandra Babu R (2006) Mapping QTLs linked to physio-morphological and plant production traits under drought stress in rice (Oryza sativa L.) in the target environment. Am J Biochem Biotechnol 2(4):161–169
  • Nguyen HT, Babu RC, Blum A (1997) Breeding for drought resistance in rice: physiology and molecular genetics considerations. Crop Sci 37:1426–1434
  • 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
  • Price AH, Tomos AD (1997) Genetic dissection of root growth in rice (Oryza sativa L.). II: mapping quantitative trait loci using molecular markers. Theor Appl Genet 95:143–152
  • Price AH, Steele KA, Moore BJ, Jones RGW (2002) Upland rice grown in soil-filled chambers and exposed to contrasting water-deficit regimes II. Mapping quantitative trait loci for root morphology and distribution. Field Crops Res 76(1):25–43
  • Reddy AR, Ramakrishna W, Sekhar AS, Ithal N, Babu PR, Bonaldo MF, Soares MB, Bennetzen JL (2002) Novel genes are enriched in normalized cDNA libraries from drought stressed seedlings of rice (Oryza sativa L. subsp. indica cv. Nagina 22). Genome 45:204–211
  • Redona ED, Mackil DJ (1996) Mapping quantitative trait loci for seedling vigor in rice using RFLPs. Theor Appl Genet 92:395–492
  • 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
  • SAS Institute Inc (1990) SAS/STAT user’s guide, Version 6, vols 1 and 2, 4th edn. SAS Institute Inc., Cary
  • Srinivasan S, Michael Gomez S, Satheesh Kumar S, Ganesh SK, Biji KR, Senthil A, Chandra Babu R (2008) QTLs linked to leaf epicuticular wax, physio-morphological and plant production traits under drought stress in rice (Oryza sativa L.). Plant Growth Regul 56:245–256
  • Temnykh S, DeClerk G, Lukashova A, Lipovich L, Cartinhour S, McCouch SR (2001) Computational and experimental analysis of microsatellites in rice (Oryza sativa): frequency, length variation, transposon associations and genetic marker potential. Genome Res 11:1441–1452
  • Wang GL, Mackill DJ, Bonman JM, McCouch SR, Champoux MC, Nelson RJ (1994) RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar. Genetics 136:1421–1434
  • Xia BS, Hanada K, Kizhuchi F (1991) Character expression of the semi-dwarfism gene sd-1 in rice. Effect of nitrogen levels on the expression of some agronomic characteristics. Japan J Crop Sci 60:36–41
  • Yadav R, Courtois B, Huang N, Mclaren G (1997) Mapping genes controlling root morphology and root distribution in a doubled-haploid population of rice. Theor Appl Genet 94:619–632
  • Yano M, Sasaki T (1997) Genetic and molecular dissection of quantitative traits in rice. Plant Mol Biol 35:145–153
  • Zhang J, Zheng HG, Aarti A, Pantuwan G, Nguyen TT, Tripathy JN, Sarial AK, Robin S, Babu RC, Nguyen BD, Sarkarung S, Blum A, Nguyen HT (2001) Locating genomic regions associated with components of drought resistance in rice: Comparative mapping within and across species. Theor Appl Genet 103:19–29
  • Zhao XQ, Xu JL, Zhao M, Lafitte R, Zhu LH, Fu BY, Gao YM, Li ZK (2008) QTLs affecting morpho-physiological traits related to drought tolerance detected in overlapping introgression lines of rice (Oryza sativa L.). Plant Sci (in press)
  • Zou GH, Mei HW, Liu HY, Liu GL, Hu SP, Yu XQ, Li MS, Wu JH, Luo LJ (2005) Grain yield responses to moisture regimes in a rice population: association among traits and genetic markers. Theor Appl Genet 112:106–113

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-46bc6247-d8b5-451f-994a-d6730cab9deb
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.