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Open AccessJournal ArticleDOI

Fungal Endophytes of Populus trichocarpa Alter Host Phenotype, Gene Expression, and Rhizobiome Composition.

TLDR
Metatranscriptomic studies revealed that these fungi impacted rhizophytic and endophytic activities in P. trichocarpa and induced shifts in soil and root microbial communities.
Abstract
Mortierella and Ilyonectria genera include common species of soil fungi that are frequently detected as root endophytes in many plants, including Populus spp. However, the ecological roles of these and other endophytic fungi with respect to plant growth and function are still not well understood. The functional ecology of two key taxa from the P. trichocarpa rhizobiome, M. elongata PMI93 and I. europaea PMI82, was studied by coupling forest soil bioassays with environmental metatranscriptomics. Using soil bioassay experiments amended with fungal inoculants, M. elongata was observed to promote the growth of P. trichocarpa. This response was cultivar independent. In contrast, I. europaea had no visible effect on P. trichocarpa growth. Metatranscriptomic studies revealed that these fungi impacted rhizophytic and endophytic activities in P. trichocarpa and induced shifts in soil and root microbial communities. Differential expression of core genes in P. trichocarpa roots was observed in response to both fungal species. Expression of P. trichocarpa genes for lipid signaling and nutrient uptake were upregulated, and expression of genes associated with gibberellin signaling were altered in plants inoculated with M. elongata, but not I. europaea. Upregulation of genes for growth promotion, downregulation of genes for several leucine-rich repeat receptor kinases, and alteration of expression of genes associated with plant defense responses (e.g., jasmonic acid, salicylic acid, and ethylene signal pathways) also suggest that M. elongata manipulates plant defenses while promoting plant growth.

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Journal ArticleDOI

Mortierella Species as the Plant Growth-Promoting Fungi Present in the Agricultural Soils

Ewa Ozimek, +1 more
- 24 Dec 2020 - 
TL;DR: The growing interest in the application of Mortierella spp.
Journal ArticleDOI

Plant Symbionts Are Engineers of the Plant-Associated Microbiome.

TL;DR: The impact of the symbiont on the plant microbiome is proposed to be defined as the 'symbiosis cascade effect', in whichThe symbionts and their plant host jointly shape the plant microbiota.
Journal ArticleDOI

Mucoromycota: going to the roots of plant-interacting fungi

TL;DR: The aim of the review is to focus on the early diverging fungi (Mucoromycota) whose members establish a wide range of beneficial or pathogenic interactions with their green hosts, depending on their phylogenetic position.
Journal ArticleDOI

Resolving the Mortierellaceae phylogeny through synthesis of multi-gene phylogenetics and phylogenomics

TL;DR: This work applies two parallel approaches to resolve the Mortierellaceae phylogeny: low coverage genome sequencing and high-throughput, multiplexed targeted amplicon sequencing to generate sequence data for multi-gene phylogenetics, leading to a well-supported genome-based phylogeny having broad sampling depth from the amplicon dataset.
Journal ArticleDOI

Crop Management Impacts the Soybean (Glycine max) Microbiome.

TL;DR: Overall, this research demonstrates how specific long-term cropping management systems alter microbial communities and how those communities change throughout the growth of soybean.
References
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Journal ArticleDOI

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

TL;DR: The results suggest that Cufflinks can illuminate the substantial regulatory flexibility and complexity in even this well-studied model of muscle development and that it can improve transcriptome-based genome annotation.
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TopHat: discovering splice junctions with RNA-Seq

TL;DR: The TopHat pipeline is much faster than previous systems, mapping nearly 2.2 million reads per CPU hour, which is sufficient to process an entire RNA-Seq experiment in less than a day on a standard desktop computer.
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Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes

TL;DR: A new membrane protein topology prediction method, TMHMM, based on a hidden Markov model is described and validated, and it is discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C-in topologies.
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I-TASSER: a unified platform for automated protein structure and function prediction

TL;DR: The iterative threading assembly refinement (I-TASSER) server is an integrated platform for automated protein structure and function prediction based on the sequence- to-structure-to-function paradigm.
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The COG database: an updated version includes eukaryotes

TL;DR: A major update of the previously developed system for delineation of Clusters of Orthologous Groups of proteins (COGs) from the sequenced genomes of prokaryotes and unicellular eukaryotes is described and is expected to be a useful platform for functional annotation of newlysequenced genomes, including those of complex eukARYotes, and genome-wide evolutionary studies.
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