شناسایی مکان‌های ریزماهواره‌ای مرتبط با برخی صفات مهم آگرومورفولوژیکی در لاین‌های مختلف آفتابگردان روغنی (Helianthus annuus L.) با استفاده از نقشه‌یابی ارتباطی

نوع مقاله: علمی پژوهشی

نویسندگان

1 دانش آموخته کارشناسی ارشد اصلاح نباتات، گروه اصلاح و بیوتکنولوژی گیاهی دانشکده کشاورزی دانشگاه ارومیه، ارومیه.

2 دانشیار گروه اصلاح و بیوتکنولوژی گیاهی دانشکده کشاورزی دانشگاه ارومیه، ارومیه.

3 دانشجوی دکتری اصلاح‌نباتات، دانشکده علوم کشاورزی دانشگاه گیلان، رشت..

4 دانش آموخته کارشناسی ارشد اصلاح نباتات، گروه زراعت و اصلاح نباتات دانشگاه آزاد اسلامی واحد تبریز، تبریز

چکیده

با توجه به اینکه ارزش اقتصادی یک رقم به صفات مختلف آن بستگی دارد، از این رو اطلاع دقیق از رفتار ژنتیکی و شناسایی مکان‌های ژنومی پیوسته با این صفات به اصلاح ارقام کمک خواهد نمود. در این مطالعه، ارتباط و پیوستگی بین 30 نشانگر ریزماهواره با برخی صفات مهم آگرومورفولوژیک در 106 لاین مختلف آفتابگردان روغنی از طریق مدل‎های ارتباط‌یابی GLM و MLM با استفاده از نرم‌افزارهای Structure و TASSEL مورد بررسی قرار گرفت. بر اساس 30 نشانگر ریزماهواره مورد استفاده در این مطالعه، ساختار ژنتیکی جمعیت به پنج زیر جمعیت فرعی (5=K) تقسیم گردید که نتایج حاصل از رسم بارپلات نیز مؤید آن بود. در تجزیه ارتباط به روش GLM و MLM، به ترتیب 9 و 16 مکان ارتباط معنی‌داری با صفات مورد مطالعه نشان دادند و تغییرات قابل توجهی از این صفات را توجیه نمودند. در این مطالعه چندین مکان مشترک برای صفات مورد مطالعه شناسایی شد. وجود نشانگرهای مشترک در میان برخی صفات بررسی شده می‌تواند ناشی از اثرات پلیوتروپی و یا پیوستگی نواحی ژنومی دخیل در کنترل این صفات باشد. نتایج بدست آمده از این مطالعه اطلاعات ارزشمندی در زمینه مبنای ژنتیکی صفات مورد مطالعه ارائه می دهد که از این اطلاعات می‌توان در برنامه‌های مختلف اصلاحی و از جمله انتخاب به کمک نشانگر در آفتابگردان استفاده نمود. در مطالعات بعدی می‌توان با توالی‌یابی مکان‌هایی که تغییرات قابل توجی از صفات را توجیه می نمایند (ORS1209، ORS822 و ORS649)، ژن‌های کدکننده صفات مهم زراعی را شناسایی کرد. از نشانگرهایی که دارای ارتباط قوی‌تر با صفات خاص هستند، می‌توان در اشباع نقشه‌های لینکاژی استفاده نمود.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Identification of SSR loci related to some important agromorphological traits in different sunflower (Helianthus annus L.) lines using association mapping

نویسندگان [English]

  • Fatemeh Sahranavard Azartamar 1
  • Reza Darvishzadeh 2
  • Mortaza Ghadimzadeh 2
  • Heydar Azizi 3
  • Zahra Aboulghasemi 4
1 M.Sc. in Plant Breeding, Department of Plant Breeding and Biotechnology, Urmia University, Urmia, Iran.
2 Associate Professor, Department of Plant Breeding and Biotechnology, Urmia University, Urmia, Iran.
3 Ph.D. student in Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran.
4 M.Sc. in Plant Breeding, Department of Agronomy and Plant Breeding, Islamic Azad University, Tabriz Branch
چکیده [English]

Since the economic value of cultivar depends on different characteristics, thus detailed knowledge on genetic behavior and identification of genomic loci linked to these traits will help to improve plant cultivars. In this investigation, relation and linkage between of 30 microsatellite markers with some of important agromorphological traits in 106 different sunflower lines was evaluated through GLM and MLM association models in Structure and TASSEL software. Based on the 30 microsatellite markers used in this study, population genetic structure subdivided into five subpopulations (K=5) that barplat results also confirmed it. In association analysis based on GLM and MLM models, 9 and 16 loci showed significant relation with assessed traits, respectively, and explained considerable variations of this studied traits. In this study, some co-localized QTLs were identified for studied traits. Common markers between of traits can be due to pleiotropic effects or linkage between of genomic regions involved in these traits. Results of the current study presented useful information about the genetic basis of the studied traits and can be used in different sunflower breeding programs including marker aided selection. In future studies, coding genes of important agronomical traits could be identified by sequencing of loci with highest R2 (ORS1209, ORS822 and ORS649). Markers with highest association to traits can be used for saturating linkage maps.

کلیدواژه‌ها [English]

  • sunflower
  • Linkage disequilibrium
  • Molecular markers
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