Genetic and morphological diversity in Iranian Medicago polymorpha populations by using morphological and ITS analysis

Document Type : Research Paper

Authors

1 PhD Student, Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Research Prof., Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), P.O. Box 13185-116, Tehran, Iran

3 Principal Scientist, Ottawa Research and Development Centre, Science and Technology Branch, Ottawa, Canada

4 Associate Prof., Department of Biology, Boroujerd Branch, Islamic Azad University, Boroujerd, Iran

5 Associate Prof., Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran (iraj@daad-alumni.de)

Abstract

Concerning the increasing importance of feeding livestock with valuable fodder, the recent study was focused on characterizing the genetic and morphological diversity in bur clover (Medicago polymorpha) samples collected from different regions of Iran by using morphological traits and internal transcribed spacer (ITS) analysis. A total of 14 populations were collected and evaluated morphologically from three regions of Iran in June 2017. ITS-based phylogenetic analysis was carried out through maximum parsimony and Bayesian. The bur clover samples were morphologically categorized into some taxa related to the areas studied. From our results, a high level of diversity for most morphological characteristics was found among populations. Clustering analysis based on morphological information showed correlation with geographical distribution. Phylogenetic analysis based on the ITS data showed that, all accessions of M. polymorpha formed a monophyletic clade. The findings suggest the presence of high variation within bur clover samples accessible in different Iranian regions. The utilization of morphological traits coupled with ITS analysis found useful to track the evolution and origin of M. polymorpha in Iran.
 
 

Keywords


Article Title [فارسی]

تنوع ژنتیکی و ریخت‌شناختی در جمعیت‌های ایرانی Medicago polymorpha با استفاده از آنالیز ریخت‌شناسی و نواحی ITS

Authors [فارسی]

  • سمانه سادات امامی طباطبائی 1
  • مصطفی اسدی 2
  • ارنست اسمال 3
  • محمدمهدی دهشیری 4
  • ایرج مهرگان 5
1 دانشجوی دکتری گروه زیستشناسی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
2 استاد پژوهش مؤسسه تحقیقات جنگل‌ها و مراتع کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، صندوق پستی 116-13185، تهران، ایران
3 استاد پژوهش گروه علوم و تکنولوژی، مؤسسه کشاورزی و کشاورزی-غذایی کانادا، اتاوا، کانادا
4 دانشیار گروه زیستشناسی، واحد بروجرد، دانشگاه آزاد اسلامی، بروجرد، ایران
5 دانشیار گروه زیستشناسی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
Abstract [فارسی]

با توجه به اهمیت روزافزون تغذیه دام با علوفه با ارزش، مطالعه اخیر در مناطق مختلف ایران، با هدف توصیف تنوع ژنتیکی و ریخت‌شناختی جمعیت‌های یونجه (Medicago polymorpha L.) با استفاده از صفات ریخت‌شناسی و تجزیه و تحلیل نواحی فاصله‌انداز داخلیITS) ) انجام گردید. بررسی ریخت‌شناسی 14 جمعیت جمع‌آوری شده از سه منطقه کشور در خرداد 1396 و تجزیه و تحلیل فیلوژنتیک ماکسیمم پارسیمونی و بایسین ناحیه ITS آن‌ها انجام شد. نمونه‌های این گونه از جنبه ریخت‌شناسی به گروه‌های مختلفی دسته‌بندی شدند. طبق نتایج به دست آمده در مطالعه حاضر، میزان بالایی از تنوع در بسیاری از ویژگی‌های ریخت‌شناسی بین جمعیت‌ها مشاهده شد. تجزیه و تحلیل خوشه‌بندی براساس اطلاعات ریخت‌شناسی ارتباط نسبی بین توزیع جغرافیایی را نشان داد. تجزیه و تحلیل فیلوژنتیک براساس داده‌های آی.تی.اس. نشان داد که تمام نمونه‌های M. polymorpha در یک شاخه تک‌نیا تجمیع شدند. مجموع نتایج یافته‌های این مطالعه، حاکی از وجود تنوع زیاد در نمونه‌های M. polymorpha در مناطق مختلف ایران است. به  علاوه، استفاده از صفات ریخت‌شناختی همراه با تجزیه و تحلیل آی.تی.اس. برای ردیابی منشا و تکامل گونه مذکور در ایران مفید است.
 
 

Keywords [فارسی]

  • آنالیز فیلوژنتیک
  • تنوع
  • جمعیت
  • صفات ریخت‌شناسی
  • یونجه‌های یک‌ساله
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Volume 22, Issue 2 - Serial Number 62
December 2021
Pages 194-208
  • Receive Date: 22 July 2021
  • Revise Date: 12 September 2021
  • Accept Date: 07 November 2021
  • First Publish Date: 07 November 2021