مکان‌یابی QTL های افزایشی و اپیستاتیک و اثر متقابل آن‌ها با محیط برای صفات مرتبط با خصوصیات سنبله در لاین های اینبرد نوترکیب گندم نان بهاره

نوع مقاله: علمی پژوهشی

نویسندگان

1 بخش تحقیقات چغندرقند، مرکز تحقیقات کشاورزی و منابع طبیعی همدان، سازمان تحقیقات آموزش و ترویج کشاورزی، همدان، ایران

2 دانشیار، گروه زراعت و اصلاح نباتات، دانشگاه محقق اردبیلی، اردبیل، ایران

3 استاد، گروه به‌نژادی و بیوتکنولوژی گیاهی، دانشکده کشاورزی، دانشگاه تبریز، تبریز، ایران

4 بخش تحقیقات اصلاح و تهیه نهال و بذر، مرکز تحقیقات کشاورزی و منابع طبیعی استان آذربایجان غربی، ایران

5 استادیار گروه مهندسی تولید و ژنتیک گیاهی، دانشکده کشاورزی، دانشگاه مراغه، مراغه، ایران

6 دانشیار گروه اصلاح نباتات، دانشگاه پیام نور، تهران، ایران

چکیده

به‌منظور مکان‌یابی QTL‌های افزایشی و اپیستاتیک و اثر متقابل آنها با محیط برای صفات مرتبط با خصوصیات سنبله، 148لاین اینبرد نوترکیب گندم همراه با والدین YecoraRojo و No. 49 در دو ایستگاه تحقیقات کشاورزی میاندوآب و مهاباد در شرایط نرمال و تنش کم‌آبی انتهای فصل طی دو سال زراعی 1394 و 1393 مورد ارزیابی قرار گرفتند. نقشه پیوستگی مورد استفاده شامل 177 نشانگر ریز ماهواره و 51 نشانگر رتروترانسپوزون بود. برای تجزیه QTL‌ از نرم‌افزار QTL Network. 2 استفاده شد. در بررسی حاضر بیشترین مقدار وراثت‌پذیری عمومی (31/58 درصد) و خصوصی (15/29 درصد) برای تعداد سنبلچه در سنبله و کمترین مقدار وراثت‌پذیری عمومی (28/51 درصد) و خصوصی (64/25 درصد) برای طول سنبله در شرایط نرمال مشاهده شد. نتایج تجزیه QTL نشان داد در شرایط نرمال رطوبتی یک QTL (54/1 درصد=R2A)، یک اثر متقابل QTL در محیط (40/4 درصد=R2AE)، دو اثر اپیستازی QTL× QTL (4/0-44/0 درصد=R2AA) و 6 اثر متقابل QTL× QTL در محیط (24/8-7/9 درصد=R2AAE) مشاهده شد. در شرایط تنش کم-آبی، یک اپیستازی QTL× QTL (4 درصد=R2AA) و سه اثر QTL× QTL در محیط (98/6=R2AAE) مکان‌یابی شد، در مجموع دو شرایط نیز یکQTL (78/0 درصد =R2A)، یک اثر متقابل QTL با محیط (15/5 درصد=R2AE)، 10 اپیستازی QTL× QTL (02/0-9/7 درصد=R2AA) و 14 اثر QTL×QTL در محیط (86/0-92/8 درصد=R2AAE) معنی‌دار بودند. در این تحقیق تعداد QTL های شناسایی شده برای خصوصیات مرتبط با سنبله گندم بسیار کم بودند که می تواند به دلیل تعداد بالای QTL با اثرهای کم و همچنین اثرات محیطی باشد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Mapping main and epistatic QTL and their interaction with environment for traits related to spike characteristics in recombinant inbred lines of spring wheat

نویسندگان [English]

  • Hamze Hamze 1
  • Ali Asghari 2
  • Seyed Abulghasem Mohammadi 3
  • Omid Sofalian 2
  • Soleyiman Mohammadi 4
  • Mojtaba Nouraein 5
  • Marouf Khalili 6
1 Agricultural and Natural Resources Research Center of Hamedan, Agricultural Research, Education and Extension Organization (AREEO), Iran
2 Associate Professor, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Mohaghegh Ardabili, Ardabil, Iran.
3 Professor, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Univeristy of Tabriz, Tabriz, Iran.
4 Iran Seed and plant Improvement Research Department, West Azarbaijan Agricultural and Natural Resources Research Center, AREEO, Urmia, Iran.
5 Assistant Professor, Department of Plant Production and Genetics, Faculty of Agriculture, University of Maragheh, Maragheh, Iran.
6 Associate Professor, Department of Plant Breeding, Payame Noor University, Tehran, Iran
چکیده [English]

In order to mapping additive and epistatic QTL and their interaction with environment for traits related to spike characteristics using a RILs population of wheat, comprising 148 recombinant inbred lines derived from a cross between two winter wheat cultivars, ‘YecoraRojo’ and ‘No. 49’, was evaluated in two locations in Iran (Miandoab and Mahabad) during 2014-2016. A linkage map including 177 microsatellite and 51 retrotransposon markers was used in this study. Quantitative trait loci (QTL) were determined using QTL Network 2.0 software based on the CIM and mixed-linear method. In the present study, the highest broad (58.31%) and narrow-sense (29.15%) heritability was measured for spikelet number per spike and the lowest broad (51.28%) and narrow-sense (25.64%) heritability was detected for spike length. Results of QTL analysis showed that in normal condition, one QTL (R2A= 1.54%), one QTL×E (R2AE= 4.40%), 2 additive × additive epistatic effects (R2AA= 0.44- 0.4%) and 6 QTL × QTL×E interactions (R2AAE= 8.24-9.7%) were significant. In water deficit condition, 1 additive × additive interactions (R2AA= 4%) and 3 QTL × QTL × E interactions (R2AAE= 6.98%) were identified. In average of two conditions, two QTL (R2A= 0.78%), 1 QTL×E (R2AE= 5.15%), 10 additive × additive epistatic effects (R2AA= 0.02-7.9%) and 14 QTL × QTL × E interactions (R2AAE= 0.86-8.92%), were significant which can be due to the high number of QTLs with low effects and also environmental effects.

کلیدواژه‌ها [English]

  • Epistatic
  • Marker
  • Retrotransposon
  • Spike
  • Wheat
Abdel-Ghany HM, Nawar AA, Ibrahim ME, El-Shamarka A, Selim MM, Fahmi AI (2004) Using tissue culture to select for drought tolerance in bread wheat. Proceedings of the 4th International Crop Science Congress Brisbane, Australia, 26 Sep -1 Oct.

Chu CG, Xu SS, Friesen TL, Faris JD (2008) Whole genome mapping in a wheat doubled haploid population using SSRs and TRAPs and the identification of QTL for agronomic traits. Mol. Breed. 22: 251-266.

Cuthbert JL, Somers DJ, Brule-Babel AL, Brown PD, Crow GH (2008) Molecular mapping of quantitative trait loci for yield and yield components in spring wheat (Triticum aestivum L.). Theor. Appl. Genet. 117: 595-608.

Ehdaie B, Alloush GA, Waines JG (2008) Genotypic variation in linear rate of grain growth and contribution of stem reserves to grain yield in wheat. Field Crops Res. 106: 34-43.  

El-Feki W (2010) Mapping quantitative trait loci for bread making quality and agronomic traits in winter wheat under different soil moisture levels. Ph.D. dissertation, Colorado State University, U.S.A

FAO. (2017). FAOSAT agricultur data. Agricultural production 2009. FAO. Rome. Fao. Org. Accessed 22 Apr 2012.

Gaju O, Reynolds MP, Sparkes DL, Foulkes MJ (2009) Relationships between large-spike phenotype, grain number, and yield potential in spring wheat. Crop Sci. 49: 961-973.

Gol-Abadi M, Arzani A, Mirmohammady Maibody SAM (2008) Genetic analysis of some morphological traits in durum wheat by generation mean analysis under normal and drought stress conditions. Seed Plant Improve J. 24(1): 99-116. (In Farsi)

Ehdaie B, Mohammadi SA, Nouraein M (2016) QTLs for root traits at mid-tillering and for root and shoot traits at maturity in a RIL population of spring bread wheat grown under well-watered conditions. Euphytica, 211: 17-38.

Li X, Xia X, Xiao Y, He Z, Wang D, Trethowan R, Wang H, Chen X (2014). QTL mapping for plant height and yield components in common wheat under water-limited and full irrigation environments. Crop Pasture. 66: 660-670.

Subhashchandra B, Lohithaswa HC, Desai AS, Hanchinal RR (2009) Assessment of genetic variability and relationship between genetic diversity and transgressive segregation in tetraploid wheat. Karnat.  J. Agric. Sci. 22: 36-38.

Gupta PK, Balyan HS, Kulwal PL, Kumar N, Kumar A, Mir RR, Muhan A, Kumar J (2007) QTL analysis for some quantitative traits in bread wheat.: J Zhejiang Univ. Sci. B, 8: 807-814.

Houshmand S (2003) The genetical analysis of quantitative traits. ShahreKord Univ. Pub. 462Pp.

Huang XQ, Coster H, Ganal MW, Roder MS (2003) Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.).  Theor. Appl. Genet. 106: 1379-1389.

Ma ZQ, Zhao DM, Zhang CQ, Zhang ZZ, Xue SL, Lin F, Kong ZX, Tian DG, Luo QY (2007) Molecular genetic analysis of five spike-related traits in wheat using RIL and immortalized F2 populations. Mol. Genet Genomics. 277: 31-42.

Marza, F, Bai GH, Carver BF, Zhou WC (2006) Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark. Theor. Appl. Genet. 112: 688-698.

McIntyre CL, Mathews KL, Rattey A, Chapman SC, Drenth J, Ghaderi M, Reynolds M, Shorter R (2010) Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions. Theor. Appl. Gene. 120: 527-541.

Mergoum M, Harilal VE, Simsek S, Alamri MS, Schatz BG, Kianian SF, Elias E, Kumar A, Bassi FM (2013) Agronomic and quality QTL mapping in spring   wheat. Czech. J. Genet. Plant. 1: 19-33.

Mohammadi SH, Khadambashi-Emami M (2007) Graphical analysis for grain yield of wheat and its components using diallelcrosse. Seed and Plant Journal. 24(3): 475-486. (In Farsi).

Mohammadi V, Ghanadha MR, Zali AA, Yazdi-Samadi B, Byrne P (2005) Mapping QTLs for morphological traits in wheat. J. Agr. Sci. 36: 145-157.

Neumann K, Kobiljski B, Dencic S, Varshney RK, Borner A (2011) Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.). Mol. Breed. 27: 37-58.

Roder MS, Plaschke J, Konig SU, Borner A, Sorrels ME, Tanksley SD, Ganal MW (1995) Abundance, variability and chromosomal location of microsatellites in wheat. Bol. Genet. Genomics. 246:327-333.

Wang RX, Hai L, Zhang XY, You GX, Yan CS, Xiao SH (2009) QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai X Yu8679. Theor. Appl. Genet. 118: 313-325.

Young ND (2000) Construction of plant genetic linkage map with DNA markers, In: R.L. Phyllips and J.K. Vasil, (eds), DNA-Based Markers in Plants. Kluwer Academic Publications. pp. 31- 47.  

Yu LX, Liu SX, Anderson JA, Singh RP, Jin Y, Dubcovsky J, Brown-Guidera G, Bhavani S, Morgounov A, He ZH, Huerta-Espino J, Sorrells ME (2012) Haplotype diversity of stem rust resistance loci in uncharacterized wheat lines. Mol. Breed. 30: 613-614.