The influence of tree genus, phylogeny, and richness on the specificity, rarity, and diversity of ectomycorrhizal fungi.

Partner specificity is a well-documented phenomenon in biotic interactions, yet the factors that determine specificity in plant-fungal associations remain largely unknown. By utilizing composite soil samples, we identified the predictors that drive partner specificity in both plants and fungi, with a particular focus on ectomycorrhizal associations. Fungal guilds exhibited significant differences in overall partner preference and avoidance, richness, and specificity to specific tree genera. The highest level of specificity was observed in root endophytic and ectomycorrhizal associations, while the lowest was found in arbuscular mycorrhizal associations. The majority of ectomycorrhizal fungal species showed a preference for one of their partner trees, primarily at the plant genus level. Specialist ectomycorrhizal fungi were dominant in belowground communities in terms of species richness and relative abundance. Moreover, all tree genera (and occasionally species) demonstrated a preference for certain fungal groups. Partner specificity was not related to the rarity of fungi or plants or environmental conditions, except for soil pH. Depending on the partner tree genus, specific fungi became more prevalent and relatively more abundant with increasing stand age, tree dominance, and soil pH conditions optimal for the partner tree genus. The richness of partner tree species and increased evenness of ectomycorrhizal fungi in multi-host communities enhanced the species richness of ectomycorrhizal fungi. However, it was primarily the partner-generalist fungi that contributed to the high diversity of ectomycorrhizal fungi in mixed forests.

Bioinformatics study and experimental evaluation of miR-182, and miR-34 expression profiles in Tuberculosis and lung cancer.

Background: Lung cancer is one of the most dangerous diseases among cancers and tuberculosis is one of the deadliest infectious diseases in the world. Many studies have mentioned the connection between lung cancer and tuberculosis, and also the microRNAs that play a significant role in the development of these two diseases. This study aims to use different databases to find effective miRNAs and their role on different genes on lung and tuberculosis diseases. Also determining the role of miR-34a and miR-182 in lung cancer and tuberculosis. Methods: Using the GEO database, the influential microRNA databases were studied in two diseases. Finally, regarding bioinformatics results and literature studies, two miR-34a and miR-182 were selected. The role of these microRNAs and their target genes was carefully evaluated using bioinformatics. The expression of microRNAs in the blood plasma of patients with lung cancer and tuberculosis and healthy people were investigated. Results: According to the GEO database, miR-34a and miR-182 are microRNAs that affect tuberculosis and lung cancer. By checking the miRBase, miRcode, Diana, miRDB, galaxy, KEGG databases, the role of these microRNAs on genes and different molecular pathways and their effect on these microRNAs were mentioned. The results of the present study showed that the expression of miR-34a and miR-182 was lower than that of healthy people. The P value amount for miR-182 was <0.0001 and for miR-34a was 0.3380. Conclusion: Reducing the expression pattern of these microRNAs indicates their role in lung cancer and tuberculosis occurrence. Therefore, these microRNAs can be used as a biomarker for prognosis, diagnosis, and treatment methods.

Adipose Derived Stem Cells Affect miR-145 and p53 Expressions of Co-Cultured Hematopoietic Stem Cells.

In this article published in Cell J, Vol 19, No 4, Jan-Mar (Winter) 2018, on pages 654-659, the authors found that Figures 2 and 3 had some errors that accidentally happened during organizing figures. Because of mislabeling of some images and saving them in an incorrect folder, the following figures' legends are corrected. The authors would like to apologies for any inconvenience.

Body size mediates the functional potential of soil organisms by diversity and community assembly across soil aggregates.

Body size is an important life-history trait that affects organism niche occupancy and ecological interactions. However, it is still unclear to what extent the assembly process of organisms with different body sizes affects soil biogeochemical cycling processes at the aggregate level. Here, we examined the diversity and community assembly of soil microorganisms (bacteria, fungi, and protists) and microfauna (nematodes) with varying body sizes. The microbial functional potential associated with carbon, nitrogen, phosphorus, and sulfur metabolism within three soil aggregate sizes (large macroaggregates, > 2 mm; small macroaggregates, 0.25-2 mm; and microaggregates, < 0.25 mm) were determined by metagenomics. We found that the smallest microbes (bacteria) had higher α-diversity and lower ß-diversity and were mostly structured by stochastic processes, while all larger organisms (fungi, protists, and nematodes) had lower α-diversity and were relatively more influenced by deterministic processes. Structural equation modeling indicated that the microbial functional potential associated with carbon, nitrogen, phosphorus, and sulfur metabolism was mainly influenced by the bacterial and protist diversity in microaggregates. In contrast, the microbial functional potential was primarily mediated by the assembly processes of four organism groups, especially the nematode community in macroaggregates. This study reveals the important roles of soil organisms with different body sizes in the functional potential related to nutrient cycling, and provides new insights into the ecological processes structuring the diversity and community assembly of organisms of different body sizes at the soil aggregate level, with implications for soil nutrient cycling dynamics.

Precision enzyme discovery through targeted mining of metagenomic data.

Metagenomics has opened new avenues for exploring the genetic potential of uncultured microorganisms, which may serve as promising sources of enzymes and natural products for industrial applications. Identifying enzymes with improved catalytic properties from the vast amount of available metagenomic data poses a significant challenge that demands the development of novel computational and functional screening tools. The catalytic properties of all enzymes are primarily dictated by their structures, which are predominantly determined by their amino acid sequences. However, this aspect has not been fully considered in the enzyme bioprospecting processes. With the accumulating number of available enzyme sequences and the increasing demand for discovering novel biocatalysts, structural and functional modeling can be employed to identify potential enzymes with novel catalytic properties. Recent efforts to discover new polysaccharide-degrading enzymes from rumen metagenome data using homology-based searches and machine learning-based models have shown significant promise. Here, we will explore various computational approaches that can be employed to screen and shortlist metagenome-derived enzymes as potential biocatalyst candidates, in conjunction with the wet lab analytical methods traditionally used for enzyme characterization.

Pervasive associations between dark septate endophytic fungi with tree root and soil microbiomes across Europe.

Trees interact with a multitude of microbes through their roots and root symbionts such as mycorrhizal fungi and root endophytes. Here, we explore the role of fungal root symbionts as predictors of the soil and root-associated microbiomes of widespread broad-leaved trees across a European latitudinal gradient. Our results suggest that, alongside factors such as climate, soil, and vegetation properties, root colonization by ectomycorrhizal, arbuscular mycorrhizal, and dark septate endophytic fungi also shapes tree-associated microbiomes. Notably, the structure of root and soil microbiomes across our sites is more strongly and consistently associated with dark septate endophyte colonization than with mycorrhizal colonization and many abiotic factors. Root colonization by dark septate endophytes also has a consistent negative association with the relative abundance and diversity of nutrient cycling genes. Our study not only indicates that root-symbiotic interactions are an important factor structuring soil communities and functions in forest ecosystems, but also that the hitherto less studied dark septate endophytes are likely to be central players in these interactions.

Core taxa underpin soil microbial community turnover during secondary succession.

Understanding the processes that underpin the community assembly of bacteria is a key challenge in microbial ecology. We studied soil bacterial communities across a large-scale successional gradient of managed and abandoned grasslands paired with mature forest sites to disentangle drivers of community turnover and assembly. Diversity partitioning and phylogenetic null-modelling showed that bacterial communities in grasslands remain compositionally stable following abandonment and secondary succession but they differ markedly from fully afforested sites. Zeta diversity analyses revealed the persistence of core microbial taxa that both reflected and differed from whole-scale community turnover patterns. Differences in soil pH and C:N were the main drivers of community turnover between paired grassland and forest sites and the variability of pH within successional stages was a key factor related to the relative dominance of deterministic assembly processes. Our results indicate that grassland microbiomes could be compositionally resilient to abandonment and secondary succession and that the major changes in microbial communities between grasslands and forests occur fairly late in the succession when trees have established as the dominant vegetation. We also show that core taxa may show contrasting responses to management and abandonment in grasslands.

Connecting the multiple dimensions of global soil fungal diversity.

How the multiple facets of soil fungal diversity vary worldwide remains virtually unknown, hindering the management of this essential species-rich group. By sequencing high-resolution DNA markers in over 4000 topsoil samples from natural and human-altered ecosystems across all continents, we illustrate the distributions and drivers of different levels of taxonomic and phylogenetic diversity of fungi and their ecological groups. We show the impact of precipitation and temperature interactions on local fungal species richness (alpha diversity) across different climates. Our findings reveal how temperature drives fungal compositional turnover (beta diversity) and phylogenetic diversity, linking them with regional species richness (gamma diversity). We integrate fungi into the principles of global biodiversity distribution and present detailed maps for biodiversity conservation and modeling of global ecological processes.

Fossil-fuel-dependent scenarios could lead to a significant decline of global plant-beneficial bacteria abundance in soils by 2100.

Exploiting the potential benefits of plant-associated microbes represents a sustainable approach to enhancing crop productivity. Plant-beneficial bacteria (PBB) provide multiple benefits to plants. However, the biogeography and community structure remain largely unknown. Here we constructed a PBB database to couple microbial taxonomy with their plant-beneficial traits and analysed the global atlas of potential PBB from 4,245 soil samples. We show that the diversity of PBB peaks in low-latitude regions, following a strong latitudinal diversity gradient. The distribution of potential PBB was primarily governed by environmental filtering, which was mainly determined by local climate. Our projections showed that fossil-fuel-dependent future scenarios would lead to a significant decline of potential PBB by 2100, especially biocontrol agents (-1.03%) and stress resistance bacteria (-0.61%), which may potentially threaten global food production and (agro)ecosystem services.

A new species of Inosperma, and first record of I. afromelliolens (Inocybaceae, Fungi) from West Africa.

Here, we present the newly identified Inosperma macrocarpa and the first record of I. afromelliolens from West Africa. Inosperma macrocarpa is nested in an Old World Tropical clade, based on a molecular phylogeny inferred from the sequences of ITS, LSU, RPB2, and TEF1. Complete descriptions and illustrations, including photographs and line drawings, of the new species are presented. Morphological and molecular analyses based on collections from Benin confirmed the presence of I. afromelliolens in West Africa. Toxicity analysis showed that neither species contained muscarine, which further supports the hypothesis that the ability to produce muscarine is a derived trait of Inosperma.

Life history strategies of soil bacterial communities across global terrestrial biomes.

The life history strategies of soil microbes determine their metabolic potential and their response to environmental changes. Yet these strategies remain poorly understood. Here we use shotgun metagenomes from terrestrial biomes to characterize overarching covariations of the genomic traits that capture dominant life history strategies in bacterial communities. The emerging patterns show a triangle of life history strategies shaped by two trait dimensions, supporting previous theoretical and isolate-based studies. The first dimension ranges from streamlined genomes with simple metabolisms to larger genomes and expanded metabolic capacities. As metabolic capacities expand, bacterial communities increasingly differentiate along a second dimension that reflects a trade-off between increasing capacities for environmental responsiveness or for nutrient recycling. Random forest analyses show that soil pH, C:N ratio and precipitation patterns together drive the dominant life history strategy of soil bacterial communities and their biogeographic distribution. Our findings provide a trait-based framework to compare life history strategies of soil bacteria.

A negative correlation between hsa-miR29a-3p level and HIV-1 viral load in human serum; potentiate criteria for patients screening.

Human Immunodeficiency Virus type-1 (HIV-1) causes persistent and life-threatening infection, leading to progressive disease. MicroRNAs (miRNAs) are regulators of gene expression which can be found in circulating human blood samples. hsa-miR-29a-3p has been identified as a potential regulator of the Negative Regulatory Factor (Nef) gene from the HIV-1 viral genome. In this study, we aimed to compare the serum levels of hsa-miR-29a-3p with HIV-1 viral load in a substantial number of infected individuals. We collected serum samples from a total of 48 participants, including 36 untreated HIV-positive patients, and 12 HIV-negative individuals as a control group, matched for age and sex. The HIV-1 viral load in both the case and control groups was confirmed using qRT-PCR. Subsequent qRT-PCR analysis of circulating hsa-miR-29a-3p levels revealed lower miRNA expression in the groups with higher viral loads. A negative correlation (r = -0.58) was calculated between hsa-miR-29a-3p levels and HIV-1 viral load. These findings suggest that the expression level of hsa-miR-29a-3p may serve as an indicator of HIV-1 viral load in human serum samples. Additionally, this miR may hold promise as a potential tool for enhancing HIV-1 treatment strategies.

RND pump inhibition: in-silico and in-vitro study by Eugenol on clinical strain of E. coli and P. aeruginosa.

Multidrug-resistant (MDR) gram-negative bacteria pose significant challenges to the public health. Various factors are involved in the development and spread of MDR strains, including the overuse and misuse of antibiotics, the lack of new antibiotics being developed, and etc. Efflux pump is one of the most important factors in the emergence of antibiotic resistance in bacteria. Aiming at the introduction of novel plant antibiotic, we investigated the effect of eugenol on the MexA and AcrA efflux pumps in Pseudomonas aeruginosa (P. aeruginosa) and Escherichia coli (E. coli). Molecular docking was performed using PachDock Server 1.3. The effect of eugenol on bacteria was determined by disk diffusion, minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). A cartwheel test was also performed to evaluate efflux pump inhibition. Finally, the expression of the MexA and AcrA genes was examined by real-time PCR. The results of molecular docking showed that eugenol interacted with MexA and AcrA pumps at - 29.28 and - 28.59 Kcal.mol-1, respectively. The results of the antibiogram test indicated that the antibiotic resistance of the treated bacteria decreased significantly (p < 0.05). The results of the cartwheel test suggested the inhibition of efflux pump activity in P. aeruginosa and E. coli. Analysis of the genes by real-time PCR demonstrated that the expression of MexA and AcrA genes was significantly reduced, compared to untreated bacteria (p < 0.001). The findings suggest, among other things, that eugenol may make P. aeruginosa and E. coli more sensitive to antibiotics and that it could be used as an inhibitor to prevent bacteria from becoming resistant to antibiotics.

The oncogene Musashi1 encodes novel miRNAs in breast cancer.

RNA-binding protein Musashi1 (MSI1) shows an increased expression level in several cancers and has been introduced as a prognostic marker in some malignancies. It is expected that if any miRNA is encoded by this gene, it might have a role in cancer development or could be considered as a prognostic biomarker. Accordingly, in this study, we aimed to find novel miRNA(s) inside the intronic regions of the MSI1 gene. Here, we report two novel miRNAs within intron 4 of MSI1 gene, named MSM2 and MSM3, which were selected among several miRNA precursors predicted by bioinformatic studies. For experimental analysis, corresponding precursor miRNAs were transfected into HEK293T cells and exogenous expression of the mature miRNAs were detected. Two mature miRNAs, MSM3-3p and MSM3-5p were generated by MSM3 precursor and one, MSM2-5p was derived from MSM2. Besides, endogenous expression of MSM2-5p and MSM3-3p was detected in MCF-7 and SH-SY5Y cell lines. Expression of both mature miRNAs was also detected in clinical samples of breast cancer. Additionally, the interaction between the MSM3-3p and 3'UTR region of PDE11A was confirmed by dual luciferase assay. Overall, our data demonstrated that MSI1 gene encodes two novel miRNAs in breast cancer cells.

Patterns in soil microbial diversity across Europe.

Factors driving microbial community composition and diversity are well established but the relationship with microbial functioning is poorly understood, especially at large scales. We analysed microbial biodiversity metrics and distribution of potential functional groups along a gradient of increasing land-use perturbation, detecting over 79,000 bacterial and 25,000 fungal OTUs in 715 sites across 24 European countries. We found the lowest bacterial and fungal diversity in less-disturbed environments (woodlands) compared to grasslands and highly-disturbed environments (croplands). Highly-disturbed environments contain significantly more bacterial chemoheterotrophs, harbour a higher proportion of fungal plant pathogens and saprotrophs, and have less beneficial fungal plant symbionts compared to woodlands and extensively-managed grasslands. Spatial patterns of microbial communities and predicted functions are best explained when interactions among the major determinants (vegetation cover, climate, soil properties) are considered. We propose guidelines for environmental policy actions and argue that taxonomical and functional diversity should be considered simultaneously for monitoring purposes.

Metabarcoding of soil environmental DNA to estimate plant diversity globally.

Introduction: Traditional approaches to collecting large-scale biodiversity data pose huge logistical and technical challenges. We aimed to assess how a comparatively simple method based on sequencing environmental DNA (eDNA) characterises global variation in plant diversity and community composition compared with data derived from traditional plant inventory methods. Methods: We sequenced a short fragment (P6 loop) of the chloroplast trnL intron from from 325 globally distributed soil samples and compared estimates of diversity and composition with those derived from traditional sources based on empirical (GBIF) or extrapolated plant distribution and diversity data. Results: Large-scale plant diversity and community composition patterns revealed by sequencing eDNA were broadly in accordance with those derived from traditional sources. The success of the eDNA taxonomy assignment, and the overlap of taxon lists between eDNA and GBIF, was greatest at moderate to high latitudes of the northern hemisphere. On average, around half (mean: 51.5% SD 17.6) of local GBIF records were represented in eDNA databases at the species level, depending on the geographic region. Discussion: eDNA trnL gene sequencing data accurately represent global patterns in plant diversity and composition and thus can provide a basis for large-scale vegetation studies. Important experimental considerations for plant eDNA studies include using a sampling volume and design to maximise the number of taxa detected and optimising the sequencing depth. However, increasing the coverage of reference sequence databases would yield the most significant improvements in the accuracy of taxonomic assignments made using the P6 loop of the trnL region.

Effects of nitrogen deposition on carbon and nutrient cycling along a natural soil acidity gradient as revealed by metagenomics.

Nitrogen (N) deposition and soil acidification are environmental challenges affecting ecosystem functioning, health, and biodiversity, but their effects on functional genes are poorly understood. Here, we utilized metabarcoding and metagenomics to investigate the responses of soil functional genes to N deposition along a natural soil pH gradient. Soil N content was uncorrelated with pH, enabling us to investigate their effects separately. Soil acidity strongly and negatively affected the relative abundances of most cluster of orthologous gene categories of the metabolism supercategory. Similarly, soil acidity negatively affected the diversity of functional genes related to carbon and N but not phosphorus cycling. Multivariate analyses showed that soil pH was the most important factor affecting microbial and functional gene composition, while the effects of N deposition were less important. Relative abundance of KEGG functional modules related to different parts of the studied cycles showed variable responses to soil acidity and N deposition. Furthermore, our results suggested that the diversity-function relationship reported for other organisms also applies to soil microbiomes. Since N deposition and soil pH affected microbial taxonomic and functional composition to a different extent, we conclude that N deposition effects might be primarily mediated through soil acidification in forest ecosystems.

Novel splice variants of LINC00963 suppress colorectal cancer cell proliferation via miR-10a/miR-143/miR-217/miR-512-mediated regulation of PI3K/AKT and Wnt/ß-catenin signaling pathways.

Emerging evidence has shown lncRNAs play important roles in signaling pathways involved in colorectal cancer (CRC) carcinogenesis. However, only a few functional lncRNAs have been extensively researched, especially in CRC-related signaling pathways. Looking for novel candidate regulators of CRC incidence and progression, using available RNA-seq and microarray datasets, LINC00963 was introduced as a bona fide oncogenic-lncRNA. Consistently, RT-qPCR results showed that LINC00963 was up-regulated in CRC tissues. However, our attempt to amplify the full-length lncRNA from cDNA resulted in the discovery of two novel variants (LINC00963-v2 & LINC00963-v3) that surprisingly, were downregulated in CRC tissues, detected by RT-qPCR. Overexpression of LINC00963-v2/-v3 in HCT116 and SW480 cells resulted in downregulation of the major oncogenes and upregulation of the main tumor suppressor genes involved in PI3K and Wnt signaling, verified through RT-qPCR, western blotting, and TOPFlash assays. Mechanistic studies revealed that LINC00963-v2/-v3 exert their effect on PI3K and Wnt signaling through sponging miR-10a-5p, miR-143-3p, miR-217, and miR-512-3p, which in turn these miRNAs are fine-regulators of PTEN, APC1, and Axin1 tumor suppressor genes verified by dual-luciferase assay and RT-qPCR. At cellular levels, LINC00963-v2/-v3 overexpression suppressed cell proliferation, viability, and migration while increasing the apoptosis of CRC cell lines, detected by PI flow cytometry, colony formation, MTT, RT-qPCR, wound-healing, Transwell, AnnexinV-PE/7AAD, caspase3/7 activity assays, and Hoechst/PI-AO/EB staining. Overall, our results indicate that LINC00963-v2 & -v3 are novel tumor suppressor ceRNAs that attenuate the PI3K and Wnt pathways during CRC incidence and these lncRNAs may serve as potential targets for CRC therapy.

Global diversity and distribution of nitrogen-fixing bacteria in the soil.

Our knowledge of microbial biogeography has advanced in recent years, yet we lack knowledge of the global diversity of some important functional groups. Here, we used environmental DNA from 327 globally collected soil samples to investigate the biodiversity patterns of nitrogen-fixing bacteria by focusing on the nifH gene but also amplifying the general prokaryotic 16S SSU region. Globally, N-fixing prokaryotic communities are driven mainly by climatic conditions, with most groups being positively correlated with stable hot or seasonally humid climates. Among soil parameters, pH, but also soil N content were most often shown to correlate with the diversity of N-fixer groups. However, specific groups of N-fixing prokaryotes show contrasting responses to the same variables, notably in Cyanobacteria that were negatively correlated with stable hot climates, and showed a U-shaped correlation with soil pH, contrary to other N-fixers. Also, the non-N-fixing prokaryotic community composition was differentially correlated with the diversity and abundance of N-fixer groups, showing the often-neglected impact of biotic interactions among bacteria.