Literature DB >> 26574783

Metabarcoding Analysis of Phytophthora Diversity Using Genus-Specific Primers and 454 Pyrosequencing.

Maria I Prigigallo1, Ahmed Abdelfattah1, Santa O Cacciola1, Roberto Faedda1, Simona M Sanzani1, David E L Cooke1, L Schena1.   

Abstract

A metabarcoding method based on genus-specific primers and 454 pyrosequencing was utilized to investigate the genetic diversity of Phytophthora spp. in soil and root samples of potted plants, from eight nurseries. Pyrosequencing enabled the detection of 25 Phytophthora phylotypes distributed in seven different clades and provided a much higher resolution than a corresponding cloning/Sanger sequencing approach. Eleven of these phylotypes, including P. cactorum, P. citricola s.str., P. palmivora, P. palmivora-like, P. megasperma or P. gonapodyides, P. ramorum, and five putative new Phytophthora species phylogenetically related to clades 1, 2, 4, 6, and 7 were detected only with the 454 pyrosequencing approach. We also found an additional 18 novel records of a phylotype in a particular nursery that were not detected with cloning/Sanger sequencing. Several aspects confirmed the reliability of the method: (i) many identical sequence types were identified independently in different nurseries, (ii) most sequence types identified with 454 pyrosequencing were identical to those from the cloning/Sanger sequencing approach and/or perfectly matched GenBank deposited sequences, and (iii) the divergence noted between sequence types of putative new Phytophthora species and all other detected sequences was sufficient to rule out sequencing errors. The proposed method represents a powerful tool to study Phytophthora diversity providing that particular attention is paid to the analysis of 454 pyrosequencing raw read sequences and to the identification of sequence types.

Entities:  

Keywords:  metagenomic analyses; ornamental nurseries

Mesh:

Substances:

Year:  2016        PMID: 26574783     DOI: 10.1094/PHYTO-07-15-0167-R

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  17 in total

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3.  Assessment of Passive Traps Combined with High-Throughput Sequencing To Study Airborne Fungal Communities.

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4.  Analysis of the Fungal Diversity in Citrus Leaves with Greasy Spot Disease Symptoms.

Authors:  Ahmed Abdelfattah; Santa O Cacciola; Saveria Mosca; Rocco Zappia; Leonardo Schena
Journal:  Microb Ecol       Date:  2016-10-18       Impact factor: 4.552

5.  A Metabarcoding Survey on the Fungal Microbiota Associated to the Olive Fruit Fly.

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6.  DNA Metabarcoding and Isolation by Baiting Complement Each Other in Revealing Phytophthora Diversity in Anthropized and Natural Ecosystems.

Authors:  Federico La Spada; Peter J A Cock; Eva Randall; Antonella Pane; David E L Cooke; Santa Olga Cacciola
Journal:  J Fungi (Basel)       Date:  2022-03-22

7.  Spatial and compositional variation in the fungal communities of organic and conventionally grown apple fruit at the consumer point-of-purchase.

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9.  Two previously unknown Phytophthora species associated with brown rot of Pomelo (Citrus grandis) fruits in Vietnam.

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Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

10.  MALDI-TOF MS as a method for rapid identification of Phytophthora de Bary, 1876.

Authors:  Matěj Božik; Marcela Mrázková; Karolína Novotná; Markéta Hrabětová; Petr Maršik; Pavel Klouček; Karel Černý
Journal:  PeerJ       Date:  2021-07-19       Impact factor: 2.984

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