Literature DB >> 18943168

Composition and distribution of pythium communities in wheat fields in eastern washington state.

T C Paulitz, K Adams.   

Abstract

ABSTRACT Pythium spp. were isolated from a mixture of soil and roots collected from 80 wheat fields in eastern Washington in the summer of 2000 from an area encompassing approximately 27,000 km(2). These sites covered a range of soil textures (coarse to fine, silty loess), average annual precipitation (200 to 600 mm), and average annual temperatures (7 to 11 degrees C). Soil type and annual precipitation run in an east-west gradient, while temperature has a north-south gradient. Species were identified using classical methods and by sequencing the internal transcribed spacer (ITS)-1 region of the rDNA and comparing these sequences to a database from a worldwide collection of Pythium spp. The species with the highest frequency of occurrence among all the sites were P. abappressorium sp. nov. (A) (50%), P. rostratum (R) (40%), P. debaryanum (D) (37.5%), P. heterothallicum (H) (33.7%), P.oligandrum (O) (31.2%), an unidentified P. sp. (aff. echinulatum) (E) (25%), and P. ultimum (U) (18%). P. intermedium, P. irregulare, P. paroecandrum, P. sylvaticum, P. dissimile, and P. dissoticum were isolated at a low frequency. From one to six species were isolated at each site, and there were 46 different species combinations detected. The species presence/absence data from all sites were analyzed with Jaccard's similarity coefficient hierarchical cluster analysis. Six communities were identified (species within each community designation in order of frequency among the sites within the community)-AD, AOU, AR, DEH, HE, and RU. In general, P. abappressorium was evenly distributed over all zones. AOU was more prevalent in zones with lower precipitation and coarser soil, while DEH and HE were associated with zones with higher precipitation and finer-textured soils on the basis of comparison of frequency distributions with the expected distribution over all the sites. The RU community was more prevalent in higher temperature zones. Canonical correspondence analysis was performed to examine the relationship between species and environmental variables. Soil type and precipitation were highly correlated with each other and with axis 1, which separated P. ultimum and P. abappressorium (lower variable values) from P. heterothallicum (higher variable values). Axis 2 and 3 were most correlated with temperature, and these axes separated P. oligandrum (higher value) from P. debaryanum (lower value) and P. ultimum-P. rostratum from the other species. The results suggest that Pythium species composition, distributions, and associations on a given crop may be influenced by environmental factors at a mesoscale level (100 to 1,000,000 ha).

Entities:  

Year:  2003        PMID: 18943168     DOI: 10.1094/PHYTO.2003.93.7.867

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


  7 in total

1.  Oligonucleotide array for identification and detection of pythium species.

Authors:  J T Tambong; A W A M de Cock; N A Tinker; C A Lévesque
Journal:  Appl Environ Microbiol       Date:  2006-04       Impact factor: 4.792

2.  Probability Models Based on Soil Properties for Predicting Presence-Absence of Pythium in Soybean Roots.

Authors:  Kimberly K Zitnick-Anderson; Jack E Norland; Luis E Del Río Mendoza; Ann-Marie Fortuna; Berlin D Nelson
Journal:  Microb Ecol       Date:  2017-04-06       Impact factor: 4.552

3.  Rhizosphere plant-microbe interactions under water stress.

Authors:  Ankita Bhattacharyya; Clint H D Pablo; Olga V Mavrodi; David M Weller; Linda S Thomashow; Dmitri V Mavrodi
Journal:  Adv Appl Microbiol       Date:  2021-04-16       Impact factor: 5.086

4.  Comparative genomics reveals insight into virulence strategies of plant pathogenic oomycetes.

Authors:  Bishwo N Adhikari; John P Hamilton; Marcelo M Zerillo; Ned Tisserat; C André Lévesque; C Robin Buell
Journal:  PLoS One       Date:  2013-10-04       Impact factor: 3.240

5.  DNA-Metabarcoding of Belowground Fungal Communities in Bare-Root Forest Nurseries: Focus on Different Tree Species.

Authors:  Diana Marčiulynienė; Adas Marčiulynas; Jūratė Lynikienė; Miglė Vaičiukynė; Artūras Gedminas; Audrius Menkis
Journal:  Microorganisms       Date:  2021-01-11

6.  The influence of rhizosphere soil fungal diversity and complex community structure on wheat root rot disease.

Authors:  Xuejiang Zhang; Heyun Wang; Yawei Que; Dazhao Yu; Hua Wang
Journal:  PeerJ       Date:  2021-12-13       Impact factor: 2.984

Review 7.  Diversity and Function of Appressoria.

Authors:  K W Thilini Chethana; Ruvishika S Jayawardena; Yi-Jyun Chen; Sirinapa Konta; Saowaluck Tibpromma; Pranami D Abeywickrama; Deecksha Gomdola; Abhaya Balasuriya; Jianping Xu; Saisamorn Lumyong; Kevin D Hyde
Journal:  Pathogens       Date:  2021-06-12
  7 in total

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