Your browser doesn't support javascript.
loading
DNA Metabarcoding and Isolation by Baiting Complement Each Other in Revealing Phytophthora Diversity in Anthropized and Natural Ecosystems.
La Spada, Federico; Cock, Peter J A; Randall, Eva; Pane, Antonella; Cooke, David E L; Cacciola, Santa Olga.
Affiliation
  • La Spada F; Department of Agriculture, Food and Environment, University of Catania, 95123 Catania, Italy.
  • Cock PJA; The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK.
  • Randall E; The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK.
  • Pane A; Department of Agriculture, Food and Environment, University of Catania, 95123 Catania, Italy.
  • Cooke DEL; The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK.
  • Cacciola SO; Department of Agriculture, Food and Environment, University of Catania, 95123 Catania, Italy.
J Fungi (Basel) ; 8(4)2022 Mar 22.
Article in En | MEDLINE | ID: mdl-35448560
ABSTRACT
Isolation techniques supplemented by sequencing of DNA from axenic cultures have provided a robust methodology for the study of Phytophthora communities in agricultural and natural ecosystems. Recently, metabarcoding approaches have emerged as new paradigms for the detection of Phytophthora species in environmental samples. In this study, Illumina DNA metabarcoding and a conventional leaf baiting isolation technique were compared to unravel the variability of Phytophthora communities in different environments. Overall, 39 rhizosphere soil samples from a natural, a semi-natural and a horticultural small-scale ecosystem, respectively, were processed by both baiting and metabarcoding. Using both detection techniques, 28 out of 39 samples tested positive for Phytophthora. Overall, 1,406,613 Phytophthora internal transcribed spacer 1 (ITS1) sequences and 155 Phytophthora isolates were obtained, which grouped into 21 taxa, five retrieved exclusively by baiting (P. bilorbang; P. cryptogea; P. gonapodyides; P. parvispora and P. pseudocryptogea), 12 exclusively by metabarcoding (P. asparagi; P. occultans; P. psycrophila; P. syringae; P. aleatoria/P. cactorum; P. castanetorum/P. quercina; P. iranica-like; P. unknown sp. 1; P. unknown sp. 2; P. unknown sp. 3; P. unknown sp. 4; P. unknown sp. 5) and four with both techniques (P. citrophthora, P. multivora, P. nicotianae and P. plurivora). Both techniques complemented each other in describing the variability of Phytophthora communities from natural and managed ecosystems and revealing the presence of rare or undescribed Phytophthora taxa.
Key words

Full text: 1 Database: MEDLINE Type of study: Clinical_trials Language: En Year: 2022 Type: Article

Full text: 1 Database: MEDLINE Type of study: Clinical_trials Language: En Year: 2022 Type: Article