The infection process of Armillaria mellea and Armillaria solidipes

Devkota, Pratima; Hammerschmidt, Raymond

doi:10.1016/j.pmpp.2020.101543

Cited by 30 publications

(20 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Comparative genomic studies of 4 Armillaria species revealed a full complement of plant cell-wall-degrading enzymes and pathogenicity-related genes, including also genes involved in chitin-binding and others in pectinolytic activities. Current research interests are focused on setting up well-controlled inoculation tests to identify which mechanisms and molecular factors drive rhizomorph contact, penetration, and hyphal-host communication during the progress of infection [ 150 ]. Defining genomic and transcriptomic differences between pathogenic and saprotrophic activities, and also between virulent and non-virulent isolates of pathogenic species, and their interactions with the host-associated microbial communities may further help us to understand the complex interactive networks between invasive fungal mycelia and the host.…”

Section: Biology and Infection Strategies Of Armillarioid Speciesmentioning

confidence: 99%

Epidemiology, Biotic Interactions and Biological Control of Armillarioids in the Northern Hemisphere

et al. 2021

View full text Add to dashboard Cite

Armillarioids, including the genera Armillaria, Desarmillaria and Guyanagaster, represent white-rot specific fungal saprotrophs with soilborne pathogenic potentials on woody hosts. They propagate in the soil by root-like rhizomorphs, connecting between susceptible root sections of their hosts, and often forming extended colonies in native forests. Pathogenic abilities of Armillaria and Desarmillaria genets can readily manifest in compromised hosts, or hosts with full vigour can be invaded by virulent mycelia when exposed to a larger number of newly formed genets. Armillaria root rot-related symptoms are indicators of ecological imbalances in native forests and plantations at the rhizosphere levels, often related to abiotic environmental threats, and most likely unfavourable changes in the microbiome compositions in the interactive zone of the roots. The less-studied biotic impacts that contribute to armillarioid host infection include fungi and insects, as well as forest conditions. On the other hand, negative biotic impactors, like bacterial communities, antagonistic fungi, nematodes and plant-derived substances may find applications in the environment-friendly, biological control of armillarioid root diseases, which can be used instead of, or in combination with the classical, but frequently problematic silvicultural and chemical control measures.

show abstract

Section: Biology and Infection Strategies Of Armillarioid Speciesmentioning

confidence: 99%

Epidemiology, Biotic Interactions and Biological Control of Armillarioids in the Northern Hemisphere

et al. 2021

View full text Add to dashboard Cite

show abstract

“…These factors are better depicted in Figure 1. A common disease that usually plagues the cherries trees is Armillaria [22], which is one of the most severe root rot pathogens. Armillaria sp.…”

Section: Introductionmentioning

confidence: 99%

Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning

Chaschatzis

Karaiskou

Mouratidis

et al. 2021

Drones

View full text Add to dashboard Cite

Recent technological developments in the primary sector and machine learning algorithms allow the combined application of many promising solutions in precision agriculture. For example, the YOLOv5 (You Only Look Once) and ResNet Deep Learning architecture provide high-precision real-time identifications of objects. The advent of datasets from different perspectives provides multiple benefits, such as spheric view of objects, increased information, and inference results from multiple objects detection per image. However, it also raises crucial obstacles such as total identifications (ground truths) and processing concerns that can lead to devastating consequences, including false-positive detections with other erroneous conclusions or even the inability to extract results. This paper introduces experimental results from the machine learning algorithm (Yolov5) on a novel dataset based on perennial fruit crops, such as sweet cherries, aiming to enhance precision agriculture resiliency. Detection is oriented on two points of interest: (a) Infected leaves and (b) Infected branches. It is noteworthy that infected leaves or branches indicate stress, which may be due to either a stress/disease (e.g., Armillaria for sweet cherries trees, etc.) or other factors (e.g., water shortage, etc). Correspondingly, the foliage of a tree shows symptoms, while this indicates the stages of the disease.

show abstract

“…The results demonstrated that A. altimontana was not harmful to western white pine within the northern Idaho planting site, and further suggest that A. altimontana behaves as a long-term, in situ biological control agent against A. solidipes [20]. Recognizing the genetic or underlying soil factors that drive host-fungal interactions may provide approaches for enhancing the management of Armillaria root disease.The distribution, life cycle, pathogenicity, and evolutionary relationships have been studied for several Armillaria species [10, 12,14, 16,[21][22][23][24][25]. Collins et al [26] studied the genome and proteome of A. mellea, identifying carbohydrate degrading enzymes, laccases, and lignin peroxidases among other geneencoded proteins.…”

mentioning

confidence: 99%

Genomic Comparisons of Two Armillaria Species with Different Ecological Behaviors and Their Associated Soil Microbial Communities

et al. 2022

View full text Add to dashboard Cite

Armillaria species show considerable variation in ecological roles and virulence, from mycorrhizae and saprophytes to important root pathogens of trees and horticultural crops. We studied two Armillaria species that can be found in coniferous forests of northwestern USA and southwestern Canada. Armillaria altimontana is considered as a weak, opportunistic pathogen of coniferous trees, but it also appears to exhibit in situ biological control against A. solidipes, formerly North American A. ostoyae, which is considered a virulent pathogen of coniferous trees. Here, we describe their genome assemblies and present a functional annotation of the predicted genes and proteins for the two Armillaria species that exhibit contrasting ecological roles. In addition, the soil microbial communities were examined in association with the two Armillaria species within a 45-year-old plantation of western white pine (Pinus monticola) in northern Idaho, USA, where A. altimontana was associated with improved tree growth and survival, while A. solidipes was associated with reduced growth and survival.ostoyae) is considered one of the more virulent pathogens [13], although virulence varies depending on isolate, host age and other factors [14]. Armillaria mellea and A. borealis are also considered virulent pathogens, while A. gallica, A. cepistipes, A. gemina, A. calvescens, A. sinapina, and A. nabsnona are considered less virulent or secondary pathogens [10, 12,15, 16]. A recently described species, Armillaria altimontana, formerly North American biological species (NABS) X, is also usually considered as a weak pathogen [17], but evidence for pathogenicity is not well documented [18]. Armillaria solidipes (as A. ostoyae) and A. altimontana have been documented to co-occur within forest stands in the inland northwestern USA [18][19][20]. A previous study in northern Idaho, USA provided evidence that A. altimontana can provide natural biological control of Armillaria root disease of western white pine (Pinus monticola) caused by A. solidipes. In this study, A. solidipes was uncommon in areas dominated by A. altimontana, and trees colonized by A. solidipes were associated with a lower growth and survival than trees colonized only by A. altimontana. The results demonstrated that A. altimontana was not harmful to western white pine within the northern Idaho planting site, and further suggest that A. altimontana behaves as a long-term, in situ biological control agent against A. solidipes [20]. Recognizing the genetic or underlying soil factors that drive host-fungal interactions may provide approaches for enhancing the management of Armillaria root disease.The distribution, life cycle, pathogenicity, and evolutionary relationships have been studied for several Armillaria species [10, 12,14, 16,[21][22][23][24][25]. Collins et al. [26] studied the genome and proteome of A. mellea, identifying carbohydrate degrading enzymes, laccases, and lignin peroxidases among other geneencoded proteins. characterized the transcriptome of an A. solidipe...

show abstract

The infection process of Armillaria mellea and Armillaria solidipes

Cited by 30 publications

References 72 publications

Epidemiology, Biotic Interactions and Biological Control of Armillarioids in the Northern Hemisphere

Epidemiology, Biotic Interactions and Biological Control of Armillarioids in the Northern Hemisphere

Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning

Genomic Comparisons of Two Armillaria Species with Different Ecological Behaviors and Their Associated Soil Microbial Communities

Contact Info

Product

Resources

About