Taxonomic study of cyanoprokaryotes from medicinal plants bed with emphasis on phylogeny of complex taxa using 16S rRNA marker

Document Type : Research Paper

Authors

1 PhD Student, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran

2 Prof., Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran

3 Assistant Prof., Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran

4 MSc Graduate, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran

Abstract

Cyanoprokaryotes are simple photosynthetic microorganisms which have an important role in the soil carbon and nitrogen cycle. The current study aimed to investigate the flora of cyanoprokaryotes from medicinal plants bed. Also phylogenetic analysis based on 16S rRNA marker was performed to investigate the phylogenetic relationships between different cyanoprokaryotic taxa and evaluate the efficiency of this marker in separation of taxonomic boundaries between taxa especially in the case of complex taxa, which their relations are not well-defined. For this purpose, after collection of soil, isolation and purification of strains were performed. The cyanoprokaryotic taxa were identified morphologically and 16S rRNA marker was used to approve the identifications. Phylogenetic analysis performed using Maximum Likelihood, Maximum Parsimony and Bayesian Inference. Totally, 42 cyanoprokaryotic taxa were identified and Nostoc was an abundant genus in the soil of medicinal plants bed. The phylogenetic tree revealed Nostocales as a monophyletic group. Also, Wollea together with Anabaena, and Nostoc together with Desmonostoc created monophyletic groups. Results revealed that, 16S rRNA is an effective phylogenetic marker in high classification rankings such as order, family and genus. However, 16S rRNA could not be an effective marker in separation of close genera such as Nostoc and Desmonostoc.
 
 

Keywords

Article Title [Persian]

مطالعه تاکسونومیک سیانوپروکاریوت‌های بستر رویشی گیاهان دارویی با تاکید بر فیلوژنی آرایه‌های پیچیده با استفاده از مارکر 16S rRNA

Authors [Persian]

  • سمیه زارع زاده 1
  • حسین ریاحی 2
  • زینب شریعتمداری 3
  • معصومه سادات حسینی 4
1 دانشجوی دکتری دانشکده علوم و فناوری زیستی، دانشگاه شهید بهشتی، تهران، ایران
2 استاد دانشکده علوم و فناوری زیستی، دانشگاه شهید بهشتی، تهران، ایران
3 استادیار دانشکده علوم و فناوری زیستی، دانشگاه شهید بهشتی، تهران، ایران
4 فارغ‌التحصیل کارشناسی ارشد، دانشکده علوم و فناوری زیستی، دانشگاه شهید بهشتی، تهران، ایران
Abstract [Persian]

سیانوپروکاریوت‌ها موجودات ریز و ساده فتوسنتز‌کننده‌ای هستند که نقش مهمی در چرخه‌های نیتروژن و کربن خاک ایفا می‌نمایند. هدف مطالعه حاضر، بررسی فلور سیانوپروکاریوت‌های موجود در بستر رویشی گیاهان دارویی است. همچنین، بررسی فیلوژنتیک به منظور ارزیابی روابط فیلوژنی میان آرایه‌های مختلف سیانوپروکاریوتی با استفاده از مارکر 16S rRNA و ارزیابی کارآمدی این مارکر در جداسازی مرزهای تاکسونومیک میان آرایه‌ها، به ویژه در موارد پیچیده که روابط میان آن‌ها به خوبی شناخته شده نیست، انجام گرفته است. به این منظور، پس از جمع‌آوری خاک، جداسازی و خالص‌سازی سویه‌ها انجام گرفت. آرایه‌های سیانوپروکاریوتی براساس خصوصیات ریخت‌شناختی شناسایی شدند و تایید شناسایی‌ها با کمک مارکر مولکولی 16S rRNA انجام گرفت. روابط فیلوژنی با استفاده از Maximum Likelihood، Maximum Parsimony و Bayesian Inference مورد ارزیابی قرار گرفت. در مجموع، 42 آرایه سیانوپروکاریوتی شناسایی شد و نتایج نشان‌دهنده‌ غالب بودن جنس گونه Nostocدر فلور بستر رویشی گیاهان دارویی بود. درخت حاصل از نتایج فیلوژنی نشان‌دهنده تک‌نیایی بودن Nostocales است. همچنین، جنس‌های Wollea و Anabaena با یکدیگر و نیز جنس‌هایNostoc  و Desmonostoc با هم، گروه‌های تک‌نیا را تشکیل دادند. نتایج نشان‌دهنده‌ کارآمدی مارکر16S rRNA در سطوح بالای سیستم رده‌بندی، اعم از راسته، تیره و جنس می‌باشد. با این وجود، این مارکر در جداسازی آرایه‌های نزدیک به یکدیگر نظیر Desmonostoc و Nostoc از کارآمدی لازم برخوردار نیست.
 
 

Keywords [Persian]

  • سیانوپروکاریوت
  • 16S rRNA
  • فیلوژنی
  • Wollea
  • Desmonostoc

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Rostaniha
Volume 20, Issue 2 - Serial Number 58
December 2019
Pages 98-109

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History

  • Receive Date: 12 June 2019
  • Revise Date: 24 July 2019
  • Accept Date: 11 September 2019

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