UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 1
January-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1801101


Registration ID:
180103

Page Number

526-536

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Title

Molecular detection and characterization of leaf curl and phyllody associated with sunflower in Andhra Pradesh.

Abstract

Total 163 sunflower plants samples showing leaf curling, phyllody and mixed infections of both were collected from different regions of Kurnool district of Andhra Pradesh state in India. The total DNA extracted from these sunflower samples was subjected to nested PCR using 16SrRNA primers and PCR with generic begomovirus specific primers. 11/163 sunflower samples showed positive amplification begomovirus and phytoplasma by PCR. No PCR products were observed for asymptomatic plants. The phytoplasma identified as a member of Peanut witches-broom phytoplasma16SrII (nt identity of 97.1%) and the virus is a member of previously described monopartite begomovirus which is closely related to Tomato leaf curl virus (ToLCV, nt identity of 99%) infecting sunflower in India respectively. Further the co-infection of virus and phytoplasma in eleven sunflower samples was successfully detected by multiplex PCR, which is more rapid and sensitive and specific detection of the phytoplasma and virus.

Key Words

Sunflower, mixed infection, phytoplasma, begomovirus, Duplex PCR, ToLCKV

Cite This Article

"Molecular detection and characterization of leaf curl and phyllody associated with sunflower in Andhra Pradesh.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.526-536, January-2018, Available :http://www.jetir.org/papers/JETIR1801101.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Molecular detection and characterization of leaf curl and phyllody associated with sunflower in Andhra Pradesh.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp526-536, January-2018, Available at : http://www.jetir.org/papers/JETIR1801101.pdf

Publication Details

Published Paper ID: JETIR1801101
Registration ID: 180103
Published In: Volume 5 | Issue 1 | Year January-2018
DOI (Digital Object Identifier):
Page No: 526-536
Country: Bangalore, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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