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1.
Plant Dis ; 2023 Nov 12.
Article in English | MEDLINE | ID: mdl-37953229

ABSTRACT

To better understand how the pathogenicity of the oat crown rust pathogen, Puccinia coronata f. sp. avenae (Pca), has changed in the United States, 30 years of USDA survey isolates (n=5,456) tested on 30-40 differential lines were analyzed for overall and Pc resistance gene specific virulence trends and correlations. Pca is incredibly pathologically diverse with 88% of races represented by a single isolate. There are a slightly higher proportion of unique races from the Northern region of the United States and for one fourth of the years, Northern region isolates were significantly more virulent than Southern isolates which supports the idea that sexual recombination in this region is mediated by the alternate host as a major factor in creating new races. However, there is also support for regular isolate movement between North and South regions as isolates in the United States are steadily accumulating virulences at a rate of 0.35 virulences per year. Virulence significantly increased for 23 and decreased for 4 of the 40 differential lines. In the past few years, virulence has reached 90% or greater for 16 differential lines. There were also strong correlations in virulence for certain Pc genes that are likely identical, allelic, or target the same or closely linked pathogen effectors (e.g. Pc39, Pc55, and Pc71), and the results were largely in concordance with recent GWAS effector studies using USDA isolate subsets. Understanding changes in Pca pathogenicity is essential for the responsible deployment and management of Pc resistance genes for sustainable and profitable oat production.

2.
Microb Ecol ; 70(1): 61-76, 2015 Jul.
Article in English | MEDLINE | ID: mdl-25645243

ABSTRACT

In hot deserts, plants cope with aridity, high temperatures, and nutrient-poor soils with morphological and biochemical adaptations that encompass intimate microbial symbioses. Whereas the root microbiomes of arid-land plants have received increasing attention, factors influencing assemblages of symbionts in aboveground tissues have not been evaluated for many woody plants that flourish in desert environments. We evaluated the diversity, host affiliations, and distributions of endophytic fungi associated with photosynthetic tissues of desert trees and shrubs, focusing on nonsucculent woody plants in the species-rich Sonoran Desert. To inform our strength of inference, we evaluated the effects of two different nutrient media, incubation temperatures, and collection seasons on the apparent structure of endophyte assemblages. Analysis of >22,000 tissue segments revealed that endophytes were isolated four times more frequently from photosynthetic stems than leaves. Isolation frequency was lower than expected given the latitude of the study region and varied among species a function of sampling site and abiotic factors. However, endophytes were very species-rich and phylogenetically diverse, consistent with less arid sites of a similar latitudinal position. Community composition differed among host species, but not as a function of tissue type, sampling site, sampling month, or exposure. Estimates of abundance, diversity, and composition were not influenced by isolation medium or incubation temperature. Phylogenetic analyses of the most commonly isolated genus (Preussia) revealed multiple evolutionary origins of desert-plant endophytism and little phylogenetic structure with regard to seasonality, tissue preference, or optimal temperatures and nutrients for growth in vitro. Together, these results provide insight into endophytic symbioses in desert-plant communities and can be used to optimize strategies for capturing endophyte biodiversity at regional scales.


Subject(s)
Ascomycota/genetics , Biodiversity , Biological Evolution , Endophytes/genetics , Plants/microbiology , Symbiosis , Arizona , Bayes Theorem , Computational Biology , Desert Climate , Food , Geography , Likelihood Functions , Models, Genetic , Phylogeny , Polymerase Chain Reaction , Statistics, Nonparametric , Temperature
3.
Mol Ecol Resour ; 14(5): 1032-48, 2014 Sep.
Article in English | MEDLINE | ID: mdl-24628864

ABSTRACT

Next-generation sequencing technologies have provided unprecedented insights into fungal diversity and ecology. However, intrinsic biases and insufficient quality control in next-generation methods can lead to difficult-to-detect errors in estimating fungal community richness, distributions and composition. The aim of this study was to examine how tissue storage prior to DNA extraction, primer design and various quality-control approaches commonly used in 454 amplicon pyrosequencing might influence ecological inferences in studies of endophytic and endolichenic fungi. We first contrast 454 data sets generated contemporaneously from subsets of the same plant and lichen tissues that were stored in CTAB buffer, dried in silica gel or freshly frozen prior to DNA extraction. We show that storage in silica gel markedly limits the recovery of sequence data and yields a small fraction of the diversity observed by the other two methods. Using lichen mycobiont sequences as internal positive controls, we next show that despite careful filtering of raw reads and utilization of current best-practice OTU clustering methods, homopolymer errors in sequences representing rare taxa artificially increased estimates of richness c. 15-fold in a model data set. Third, we show that inferences regarding endolichenic diversity can be improved using a novel primer that reduces amplification of the mycobiont. Together, our results provide a rationale for selecting tissue treatment regimes prior to DNA extraction, demonstrate the efficacy of reducing mycobiont amplification in studies of the fungal microbiomes of lichen thalli and highlight the difficulties in differentiating true information about fungal biodiversity from methodological artefacts.


Subject(s)
Biota , DNA Primers/genetics , Diagnostic Errors , Endophytes/classification , Fungi/classification , Preservation, Biological/methods , Specimen Handling/methods , Endophytes/genetics , Endophytes/isolation & purification , Fungi/genetics , Fungi/isolation & purification , Molecular Sequence Data , Plants/microbiology , Sequence Analysis, DNA/methods
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