مکان‌یابی ژن‌های کمی کنترل کننده محتوای کلروفیل در شرایط نرمال و تنش شوری در گیاهچه‌های برنج و مقایسه روش‌های مختلف مکان‌یابی QTL

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد رشته بیوتکنولوژی کشاورزی، مجتمع آموزش عالی شیروان

2 دانشیار گروه تولیدات گیاهی، مجتمع آموزش عالی شیروان

3 دانشیار تولیدات گیاهی، دانشکده کشاورزی و منابع طبیعی، دانشگاه گنبد کاووس

چکیده

شوری یک محدودیت عمده در توسعه کشت برنج می‌باشد. بهبود بخشیدن به تحمل به شوری در برنج ازنظر ژنتیکی یک مسئله بسیار مهم در برنامه‌های اصلاحی است. به‌منظور مکان یابی ژن های کنترل کننده محتوای کلروفیل، 96 لاین خالص نوترکیب برنج ایرانی حاصل تلاقی ارقام ندا × اهلمی-طارم تحت تنش شوری در مرحله گیاهچه‌ای آزمایشی به‌صورت مرکب در قالب طرح کاملاً تصادفی با سه تکرار و دو شرایط کشت نرمال و تنش شوری در دانشگاه گنبد‌کاووس در سال 1395 در شرایط گیاهچه کشت شدند. مکان‌یابی ژن‌های کنترل‌کننده محتوای کلروفیل با استفاده از روش‌های مختلف مکان‌یابی شامل SIM-MEL، SIM، CIM، MIM، PMLE، ICIM و STSIM انجام گرفت و با استفاده از هر کدام از این روش‌ها QTL‌های مشابه و متفاوتی ردیابی شد. 40 نشانگر SSR و 16 نشانگر ISSR (76 آلل تکثیر‌شده چند شکل)، 2 نشانگر IRAP (7 آلل تکثیر‌شده چند شکل) و یک نشانگر iPBS (3 آلل تکثیر‌شده چند شکل) بر روی 12 کروموزوم برنج توزیع شدند. روش ICIM، CIM و SIM در شرایط نرمال و تنش شوری بیشترین تشابه مکان‌های ژنی ردیابی شده را دارا بودند. qCHL-6 در شش روش مکان‌یابی در موقعیت 52 سانتی‌مورگان از کروموزوم 6 شناسایی شد. بنابراین با استفاده از QTL‌های شناسایی شده می‌توان پس از تعیین اعتبار QTLها، ژنوتیپ‌های برتر از نظر محتوای کلروفیل برای برنامه‌های انتخاب به کمک نشانگر را شناسایی کرد.

کلیدواژه‌ها


Alam, M.Z., Stuchbury, T., Naylor, R.E.L., Rashid, M.A., 2004. Effect of salinity on growth of some modern rice cultivars. Journal of Agronomy. 3, 1-10.

An, Z.W., Xie, L.L., Cheng, H., Zhou, Y., Zhang, Q., He, X.G., 2009. A silver staining procedure for nucleic acids in polyacrylamide gels without fixation and pretreatment. Analytical Biochemistry. 391, 77-9.

Arvin, P., 2015. Effect of gibberellin on some vegetative traits, chlorophyll paints content and proline in medicinal plants savory (Satureja hortensis L.) under salt stress conditions. Journal of Crop Production Research. 7, 89-104. [In Persian with English summary].

Ebadi, A.A., Allahgholipour, M., Sharafi, N., 2018. Analysis of quantitative trait loci for ratooning ability in rils population of rice. Journal of Crop Breeding. 9(24), 158-165.

Fukuda, A., Terao, T., 2015. QTLs for shoot and chlorophyll content of rice seedling grown under low-temperature conditions, using a cross between Indica and Japonica cultivars. Plant Production Science. 18, 128-136.

Gregorio, G.B., 1997. Tagging salinity tolerance genes in rice using Amplified Fragment Length Polymorphism (AFLP). PhD thesis. University of Philippines in Los Banos. Philippines.

Haley, C.S., Knott, S.A., 1992. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity. 69, 315-324.

Haq, T. U., Akhtar, J., Gorham, J., Khalid, M., 2008. Genetic mapping of QTLs, controlling shoot fresh and dry weight under salt stress in rice cross between CO39×Moroberekan. Pakistan Journal of Botanical. 40, 2369-2381.

Hu, S.P., Zhou, Y., Zhang, L., Zhu, X.D., Li, L., Luo, L.J., Liu, G.L., Zhou, Q.M., 2009. Correlation and quantitative trait loci analyses of total chlorophyll content and photosynthetic rate of rice (Oryza sativa L.) under water stress and well-watered conditions. Journal of Integrative Plant Biology. 51, 879–888.

Jiang, S., Zhang, X., Zhang, F., Xu, Z., Chen, W., Li, Y., 2012. Identification and Fine Mapping of qCTH4, a Quantitative Trait Loci controlling the chlorophyll content from tillering to heading in rice (Oryza sativa L.). Journal of Heredity, 103,720–726.

Kao, C.H., Zeng, Z. B., 1999. Multiple interval mapping for quantitative trait loci. Genetics. 152, 1203-1216.

Kosambi, D. D., 1944. The estimation of map distances from recombination values. Annuals of Eugene. 12, 172-175.

Lander, E. S., Botestein, R., 1989. Mapping Mendelian factors underlying quantitative trait using RFLP linkage maps. Genetics. 121, 185-199.

Li, H. G., Wang, J., 2007. A modified algorithm for the improvement of composite interval mapping. Genetics. 175, 361-374.

Majidimehr, A., Amiri-Fahliani, R., 2016. Analysis of salinity effect on chlorophyll rate, florescence indices and grain yield of some rice cultivars. Journal of Crop Breeding. 8, 183-190. [In Persian with English summary].

Manly, K.F., Olson, J.M., 1999. Overview of QTL mapping software and introduction to Map Manager QT. Mammalian Genome. 10, 327-334.

Mc Couch, S. R., Cho, Y. G., Yano, M., Paul, E., Blinstrub, M., 1997. Report on QTL nomenclature. Rice Genetic Newsletter. 14, 11-13.

Mohammdi, S. A., 2008. New method of genetic structure analysis of quantitative traits in plants. P. 183-201. In: Proceedings of the 10th Iranian Congress of Agronomy and Plant Breeding, 18-20 Aug. 2008. Seed and Plant Improvement Research Institute, Karaj- Iran. [In Persian].

Moradi, F., Abdelbagi, M. I., 2007. Response of photosynthesis, cholorophyll fluorescence and ROS- scavenging systems to salt stress during seedling and reproductive stages in rice. Annals of Botany. 99, 1161-1173.

Munns, R., Tester, M., 2008. Mechanisms of Salinity Tolerance. Plant Biology. 59, 651-81.

Nelson, J.C., 1997. QGENE: software for marker-based genomic analysis and breeding. Molecular Breeding. 3, 239-245.

Pazira, A., 1985. Short opinion on soil salinity and alkaloid problem: Investigation and improvement methods. Water and Soil Institute of Iran, Tehran, Iran. [In Persian with English summary].

Ping, F., Xiaomin, Y., Riqing, Z., Ping, W., 2004. QTLs for rice leaf chlorophyll content under low N stress. Pedosphere. 14, 145-150

Rabiei, B., Mardani, KH, Sabouri, H., Sabouri, A., 2014. The effect of rice chromosome 1 on traits associated with drought and salinity tolerance at germination and seedling stages. Seed and Plant Improve Journal. 30, 1-16. [In Persian with English summary].

Rajabi, A., Borchard, D., 2015. QTL mapping for root yield and leaf traits in sugar beet (Betavulgaris L.) under drought stress condition. Iranian Journal of Crop Sciences. 17, 46-62. [In Persian with English summary].

Rodriguez, I. R., and Miller, J. L., 2000. Using a chlorophyll meter to determine the chlorophyll concentration, nitrogen concentration, and visual quality of St. Augustine grass. Hortiscience. 35(4), 751–754. 2000

Sabouri, H., Rezai, A.M., Moumeni. A., 2008. Evaluation of salt tolerance in Iranian landrace and improved rice cultivars. Journal of Science and Technology of Agriculture and Natural Resources 45, 47-63. [In Persian with English summary].

Sabouri. H., Rezai. A., Moumeni. A., Kavousi. M., Shokri, H., Allagholipour, M., 2010. Evaluation of relationship between traits of Iranian rice (Oryza sativa. L.) cultivars under saline condition. Electronic Journal of Plant Production. 2(4), 1-22. [In Persian with English summary].

Sabouri, H., Rezai, A., Moumeni, A., Kavousi, M., 2007a. Investigation of genetic diversity of Iranian rice genotypes under salinity condition: compare means, sensitive and tolerance index. - In: Bocchi, S., Ferrero, A., Porro, A. (eds.), Proceedings of the 4th International Temperate Rice Conference. Pp. 50-51. Tipografia Fiordo, Novara

Sabouri, H., Rezai, A., Moumeni, A., Kavousi, M., 2007b. Investigation of genetic diversity of Iranian rice genotypes under salinity condition: multivariate analysis. In: Bocchi, S., Ferrero, A., Porro, A. (eds.), Proceedings of the 4th International Temperate Rice Conference. Pp. 52-53. Tipografia Fiordo, Novara

Sabouri, H., Rezai, A., Moumeni, A., Kavousi, M., 2007c. Study the variation of physiological and agronomical characters Iranian rice (Oryza sativa L.) cultivars in seedling and vegetative stages under salinity condition. In: Bocchi, S., Ferrero, A., Porro, A. (eds.), Proceedings of the 4th International Temperate Rice Conference. Pp. 284-285.Tipografia Fiordo, Novara

Sabouri, H., Biabani, A., Nakhzari, A., Mollashahi, M., Sabouri, A., Katouzi, M., 2008. Genetic analysis of agronomical traits using Diallel methods. Research project. Department of plant production, College of Agriculture Sceince and Natural Resource, Gonbad Kavous University. [In Persian with English summary].

Sabouri, H., Sabouri, A., 2008. New evidence of QTLs attributed to salinity tolerance in rice. African Journal of Biotechnology. 7, 4376–4383.

Sabouri, H., Sabouri, A., Dadras, A. R., 2016. Advanced Quantitative Genetics. University of Gonbad Kavos. [In Persian with English summary].

Sabouri, H., Sabouri, A., Nahvi, M., Dadres, A. R., Katozi, M., 2008. Location of QTL leaf chlorophyll content in seedling and reproductive stages under salt stress in rice. Modern Genetics Journal. 3, 21-30. [In Persian with English summary].

Sabouri, H., 2008. Evaluation of genetic variety of iranain rice germplasma plants for tolerance to salinity and location of related QTL. PhD. thesis. Isfahan University of Technology. [In Persian with English summary].

Saghi Maroof, M.A., Biyaoshev, R.M., Yang, G.P., Zhang, Q., Allard, R.W., 1994. Extra ordinarily polymorphic microsatellites DNA in barley species diversity, chromosomal location, and population dynamics. Processing of the academy of sciences, USA. 91, 4566-5570.

Sato, T., Ueda, T., Fukuta, Y., Kumagai, T., Yano, M., 2003. Mapping of quantitative trait loci associated with ultraviolet-B resistance in rice (Oryza sativa L.). Theoretical Appllical Genetics. 170, 1003-1008.

Shen, B., Zhuang, J., Zhang, K., Dai, W., Lu, Q., Ding, J., Zheng, K., 2007. QTL mapping of chlorophyll contents in rice. Agricultureral Sicences in China. 6(1), 17-24.

Takai, T., Kondo, M., Yano, M., Yamamoto, T., 2010. A Quantitative trait locus for chlorophyll content and its association with leaf photosynthesis in rice. Rice. 3, 172–180.

Takehisa, H., Shimodate, T., Fukuta, Y., Ueda, T., Yano, M., Yamaya, T., Kameya, T. Sato, T., 2004. Identification of quantitative trait loci for plant growth of rice in paddy field flooded with salt water. Field Crops Research. 89, 85-95.

This, D., Borries, C., Souyris, I., Teulat, B., 2000. QTL study of chlorophyll content as a genetic parameter of drought tolerance in barley. Barley Genetics Newsletter. 30, 20-23.

Wang, B., Lan, T., Wu, W.R., Li, W.M., 2003. Mapping of QTLs controlling chlorophyll content in rice. Acta Genetica Sinica. 30, 1127–1132.

Wang, F., Wang, G., Li, X., Huang, J., Zheng, J., 2008. Heredity, physiology and mapping of a chlorophyll content gene of rice (Oryza sativa L.). Journal of Plant Physiology. 165(3), 324-330.

Weidong, C., Jizeng, J., Jiyun, J., 2004. Identification and interaction analysis of QTL for chlorophyII content in wheat seedlings. Plant Nutrition and Fertitizer Science. 10, 473-478.

Xu, S., 2003. Estimating polygenic effect using markers of the entire genome. Genetics. 163, 789-801.

Zeng, Z. B., 1994. Precision mapping of quantitative trait loci. Genetics. 136, 1457-1468.

Zhangh, D., Xing, M., God, H., 2003. Nuclear DNA analyses in genetic studies of populations: practice, problems and prospects. Molecular Ecology.12, 563-584.