Microbial Communities Associated With Stunted Growth Syndrome In Penaeus Vannamei Farming

Abstract Purpose: Stunted/slow growth syndrome is one of the yield-limiting diseases in Penaeus vannamei farming. Limited information is available on the aetiology of this condition, which needs to be studied to devise prophylactic measures to minimise the production losses. Amongst the factors that influence this condition, microbial communities in the growing environment play an important role. This study aimed at understanding major microbial associations of affected and healthy pond waters through shotgun metagenomics.Method: The water samples were filtered through vacuum filtration to extract suspended microbes. Subsequently, DNA was isolated from the filtrate using PowerSoil® DNA Isolation Kit. Libraries prepared from isolated DNA were sequenced using the shotgun metagenomic method on the Illumina HiSeq platform. The microbial profiling and their functional prediction of the shotgun metagenome sequences were carried out using stand-alone versions of Kaiju, OmicsBox respectively. Results: The taxonomic classification results revealed that species of Oceanospirillum, and vibrio were high in the disease sample, while Rhodobacteraceae bacterium and Neptunomonas were high in the healthy sample. The alpha diversity analysis showed slightly higher diversity in the healthy sample compared to the disease infected. The taxonomic biomarkers for healthy and infected states reported in previous studies were also observed in this study. The major functional associations of both the healthy and infected groups include amino acid transport and metabolism, cell wall/membrane/envelope biogenesis, and energy production and conversion. Conclusion: The study identified major taxonomical and functional associations of ponds affected and unaffected with stunted growth syndrome. These associations significantly varied between the samples, indicating dysbiosis of the microbial profiles in the pond waters. This dysbiosis could be a potential cause for the manifestation of stunted growth syndrome. Microbial associations along with other pond environmental factors need to be further explored for an in-depth understanding of stunted growth syndrome.

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Metagenomic Sequences of Three Drinking Water and Two Shower Hose Biofilm Samples Treated with or without Copper-Silver Ionization

Microbiology Resource Announcements ◽

10.1128/mra.01220-19 ◽

2020 ◽

Vol 9 (3) ◽

Author(s):

Anke Stüken ◽

Thomas H. A. Haverkamp

Keyword(s):

Drinking Water ◽

Microbial Communities ◽

Tap Water ◽

Data Sets ◽

Sequence Analyses ◽

Illumina Hiseq ◽

Shotgun Metagenomics ◽

Premise Plumbing ◽

Plumbing Systems ◽

Metagenomics Data

We announce five shotgun metagenomics data sets from two Norwegian premise plumbing systems. The samples were shotgun sequenced on two lanes of an Illumina HiSeq 3000 instrument (THRUplex chemistry, 151 bp, paired-end reads), providing an extensive resource for sequence analyses of tap water and biofilm microbial communities.

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Incorporating genome-based phylogeny and trait similarity into diversity assessments helps to resolve a global collection of human gut metagenomes

10.1101/2020.07.16.207845 ◽

2020 ◽

Author(s):

Nicholas D. Youngblut ◽

Jacobo de la Cuesta-Zuluaga ◽

Ruth E. Ley

Keyword(s):

Microbial Communities ◽

Large Scale ◽

Alpha Diversity ◽

Reference Database ◽

Rrna Gene ◽

Human Gut ◽

Shotgun Metagenomics ◽

Diversity Measures ◽

Microbiome Diversity ◽

A Genome

AbstractTree-based diversity measures incorporate phylogenetic or phenotypic relatedness into comparisons of microbial communities. This improves the identification of explanatory factors compared to tree-agnostic diversity measures. However, applying tree-based diversity measures to metagenome data is more challenging than for single-locus sequencing (e.g., 16S rRNA gene). The Genome Taxonomy Database (GTDB) provides a genome-based reference database that can be used for species-level metagenome profiling, and a multi-locus phylogeny of all genomes that can be employed for diversity calculations. Moreover, traits can be inferred from the genomic content of each representative, allowing for trait-based diversity measures. Still, it is unclear how metagenome-based assessments of microbiome diversity benefit from incorporating phylogeny or phenotype into measures of diversity. We assessed this by measuring phylogeny-based, trait-based, and tree-agnostic diversity measures from a large, global collection of human gut metagenomes composed of 33 studies and 3348 samples. We found phylogeny- and trait-based alpha diversity to better differentiate samples by westernization, age, and gender. PCoA ordinations of phylogeny- or trait-based weighted UniFrac explained more variance than tree-agnostic measures, which was largely a result of these measures emphasizing inter-phylum differences between Bacteroidaceae (Bacteroidota) and Enterobacteriaceae (Proteobacteria) versus just differences within Bacteroidaceae (Bacteroidota). The disease state of samples was better explained by tree-based weighted UniFrac, especially the presence of Shiga toxin-producing E. coli (STEC) and hypertension. Our findings show that metagenome diversity estimation benefits from incorporating a genome-derived phylogeny or traits.ImportanceEstimations of microbiome diversity are fundamental to understanding spatiotemporal changes of microbial communities and identifying which factors mediate such changes. Tree-based measures of diversity are widespread for amplicon-based microbiome studies due to their utility relative to tree-agnostic measures; however, tree-based measures are seldomly applied to shotgun metagenomics data. We evaluated the utility of phylogeny-, trait-, and tree-agnostic diversity measures on a large scale human gut metagenome dataset to help guide researchers with the complex task of evaluating microbiome diversity via metagenomics.

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Binary Metabolic Phenotypes and Phenotype Diversity Metrics for the Functional Characterization of Microbial Communities

Frontiers in Microbiology ◽

10.3389/fmicb.2021.653314 ◽

2021 ◽

Vol 12 ◽

Author(s):

Stanislav N. Iablokov ◽

Pavel S. Novichkov ◽

Andrei L. Osterman ◽

Dmitry A. Rodionov

Keyword(s):

Microbial Communities ◽

Functional Characterization ◽

Alpha Diversity ◽

Accurate Method ◽

Metabolic Reconstruction ◽

Shotgun Metagenomics ◽

Metabolic Phenotypes ◽

Metabolic Traits ◽

Complete Genomes ◽

Reference Collection

The profiling of 16S rRNA revolutionized the exploration of microbiomes, allowing to describe community composition by enumerating relevant taxa and their abundances. However, taxonomic profiles alone lack interpretability in terms of bacterial metabolism, and their translation into functional characteristics of microbiomes is a challenging task. This bottom-up approach minimally requires a reference collection of major metabolic traits deduced from the complete genomes of individual organisms, an accurate method of projecting these traits from a reference collection to the analyzed amplicon sequence variants (ASVs), and, ultimately, an approach to a microbiome-wide aggregation of predicted individual traits into physiologically relevant cumulative metrics to characterize and compare multiple microbiome samples. In this study, we extended a previously introduced computational approach for the functional profiling of complex microbial communities, which is based on the concept of binary metabolic phenotypes encoding the presence (“1”) or absence (“0”) of various measurable physiological properties in individual organisms that are termed phenotype carriers or non-carriers, respectively. Derived from complete genomes via metabolic reconstruction, binary phenotypes provide a foundation for the prediction of functional traits for each ASV identified in a microbiome sample. Here, we introduced three distinct mapping schemes for a microbiome-wide phenotype prediction and assessed their accuracy on the 16S datasets of mock bacterial communities representing human gut microbiome (HGM) as well as on two large HGM datasets, the American Gut Project and the UK twins study. The 16S sequence-based scheme yielded a more accurate phenotype predictions, while the taxonomy-based schemes demonstrated a reasonable performance to warrant their application for other types of input data (e.g., from shotgun metagenomics or qPCR). In addition to the abundance-weighted Community Phenotype Indices (CPIs) reflecting the fractional representation of various phenotype carriers in microbiome samples, we employ metrics capturing the diversity of phenotype carriers, Phenotype Alpha Diversity (PAD) and Phenotype Beta Diversity (PBD). In combination with CPI, PAD allows to classify the robustness of metabolic phenotypes by their anticipated stability in the face of potential environmental perturbations. PBD provides a promising approach for detecting the metabolic features potentially contributing to disease-associated metabolic traits as illustrated by a comparative analysis of HGM samples from healthy and Crohn’s disease cohorts.

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Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan

Scientific Reports ◽

10.1038/s41598-021-91615-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Kazutoshi Yoshitake ◽

Gaku Kimura ◽

Tomoko Sakami ◽

Tsuyoshi Watanabe ◽

Yukiko Taniuchi ◽

...

Keyword(s):

Time Series ◽

Microbial Communities ◽

Pacific Coast ◽

Three Dimensional ◽

Amplicon Sequencing ◽

Metagenomic Data ◽

Shotgun Metagenomics ◽

Functional Features ◽

Pacific Coast Of Japan ◽

Marine Microbial Communities

AbstractAlthough numerous metagenome, amplicon sequencing-based studies have been conducted to date to characterize marine microbial communities, relatively few have employed full metagenome shotgun sequencing to obtain a broader picture of the functional features of these marine microbial communities. Moreover, most of these studies only performed sporadic sampling, which is insufficient to understand an ecosystem comprehensively. In this study, we regularly conducted seawater sampling along the northeastern Pacific coast of Japan between March 2012 and May 2016. We collected 213 seawater samples and prepared size-based fractions to generate 454 subsets of samples for shotgun metagenome sequencing and analysis. We also determined the sequences of 16S rRNA (n = 111) and 18S rRNA (n = 47) gene amplicons from smaller sample subsets. We thereafter developed the Ocean Monitoring Database for time-series metagenomic data (http://marine-meta.healthscience.sci.waseda.ac.jp/omd/), which provides a three-dimensional bird’s-eye view of the data. This database includes results of digital DNA chip analysis, a novel method for estimating ocean characteristics such as water temperature from metagenomic data. Furthermore, we developed a novel classification method that includes more information about viruses than that acquired using BLAST. We further report the discovery of a large number of previously overlooked (TAG)n repeat sequences in the genomes of marine microbes. We predict that the availability of this time-series database will lead to major discoveries in marine microbiome research.

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Effect of hay type on cecal and fecal microbiome and fermentation parameters in horses

Journal of Animal Science ◽

10.1093/jas/skaa407 ◽

2020 ◽

Author(s):

Rachel J Sorensen ◽

James S Drouillard ◽

Teresa L Douthit ◽

Qinghong Ran ◽

Douglas G Marthaler ◽

...

Keyword(s):

Fixed Effects ◽

Volatile Fatty Acids ◽

Random Effect ◽

Alpha Diversity ◽

Sampling Location ◽

Rrna Gene ◽

Illumina Hiseq ◽

Fecal Microbiome ◽

Β Diversity ◽

Fermentation Parameters

Abstract The effect of hay type on the microbiome of the equine gastrointestinal tract is relatively unexplored. Our objective was to characterize the cecal and fecal microbiome of mature horses consuming alfalfa or Smooth Bromegrass (brome) hay. Six cecally cannulated horses were used in a split plot design run as a crossover in 2 periods. Whole plot treatment was ad libitum access to brome or alfalfa hay fed over two 21-d acclimation periods with subplots of sampling location (cecum and rectum) and sampling hour. Each acclimation period was followed by a 24-h collection period where cecal and fecal samples were collected every 3 h for analysis of pH and volatile fatty acids (VFA). Fecal and cecal samples were pooled and sent to a commercial lab (MR DNA, Shallowater, TX) for amplification of the V4 region of the 16S rRNA gene and sequenced using Illumina HiSeq. Main effects of hay on VFA, pH, and taxonomic abundances were analyzed using the MIXED procedure of SAS 9.4 with fixed effects of hay, hour, location, period, all possible interactions and random effect of horse. Alpha and β diversity were analyzed using the R Dame package. Horses fed alfalfa had greater fecal than cecal pH (P ≤ 0.05) whereas horses fed brome had greater cecal than fecal pH (P ≤ 0.05). Regardless of hay type, total volatile fatty acid (VFA) concentrations were greater (P ≤ 0.05) in the cecum than in feces, and alfalfa resulted in greater (P ≤ 0.05) VFA concentrations than brome in both sampling locations. Alpha diversity was greater (P ≤ 0.05) in fecal compared to cecal samples. Microbial community structure within each sampling location and hay type differed from one another (P ≤ 0.05). Bacteroidetes were greater (P ≤ 0.05) in the cecum compared to the rectum, regardless of hay type. Firmicutes and Firmicutes:Bacteroidetes were greater (P ≤ 0.05) in the feces compared to cecal samples of alfalfa-fed horses. In all, fermentation parameters and bacterial abundances were impacted by hay type and sampling location in the hindgut.

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Diversity Indices of Plant Communities and Their Rhizosphere Microbiomes: An Attempt to Find the Connection

Microorganisms ◽

10.3390/microorganisms9112339 ◽

2021 ◽

Vol 9 (11) ◽

pp. 2339

Author(s):

Aleksei O. Zverev ◽

Arina A. Kichko ◽

Aleksandr G. Pinaev ◽

Nikolay A. Provorov ◽

Evgeny E. Andronov

Keyword(s):

Microbial Communities ◽

Plant Communities ◽

Plant Diversity ◽

Beta Diversity ◽

Mutual Influence ◽

Plant Root ◽

Alpha Diversity ◽

Diversity Indices ◽

Alpha And Beta Diversity ◽

Highly Correlated

The rhizosphere community represents an “ecological interface” between plant and soil, providing the plant with a number of advantages. Despite close connection and mutual influence in this system, the knowledge about the connection of plant and rhizosphere diversity is still controversial. One of the most valuable factors of this uncertainty is a rough estimation of plant diversity. NGS sequencing can make the estimations of the plant community more precise than classical geobotanical methods. We investigate fallow and crop sites, which are similar in terms of environmental conditions and soil legacy, yet at the same time are significantly different in terms of plant diversity. We explored amplicons of both the plant root mass (ITS1 DNA) and the microbial communities (16S rDNA); determined alpha- and beta-diversity indices and their correlation, and performed differential abundance analysis. In the analysis, there is no correlation between the alpha-diversity indices of plants and the rhizosphere microbial communities. The beta-diversity between rhizosphere microbial communities and plant communities is highly correlated (R = 0.866, p = 0.01). ITS1 sequencing is effective for the description of plant root communities. There is a connection between rhizosphere communities and the composition of plants, but on the alpha-diversity level we found no correlation. In the future, the connection of alpha-diversities should be explored using ITS1 sequencing, even in more similar plant communities—for example, in different synusia.

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Immune Gene Expression Covaries with Gut Microbiome Composition in Stickleback

mBio ◽

10.1128/mbio.00145-21 ◽

2021 ◽

Vol 12 (3) ◽

Author(s):

Lauren E. Fuess ◽

Stijn den Haan ◽

Fei Ling ◽

Jesse N. Weber ◽

Natalie C. Steinel ◽

...

Keyword(s):

Gene Expression ◽

Microbial Communities ◽

Gut Microbiome ◽

Alpha Diversity ◽

Host Immunity ◽

Host Gene ◽

Microbiota Composition ◽

Host Gene Expression ◽

Microbiome Composition ◽

Immune Genes

ABSTRACT Commensal microbial communities have immense effects on their vertebrate hosts, contributing to a number of physiological functions, as well as host fitness. In particular, host immunity is strongly linked to microbiota composition through poorly understood bi-directional links. Gene expression may be a potential mediator of these links between microbial communities and host function. However, few studies have investigated connections between microbiota composition and expression of host immune genes in complex systems. Here, we leverage a large study of laboratory-raised fish from the species Gasterosteus aculeatus (three-spined stickleback) to document correlations between gene expression and microbiome composition. First, we examined correlations between microbiome alpha diversity and gene expression. Our results demonstrate robust positive associations between microbial alpha diversity and expression of host immune genes. Next, we examined correlations between host gene expression and abundance of microbial taxa. We identified 15 microbial families that were highly correlated with host gene expression. These families were all tightly correlated with host expression of immune genes and processes, falling into one of three categories—those positively correlated, negatively correlated, and neutrally related to immune processes. Furthermore, we highlight several important immune processes that are commonly associated with the abundance of these taxa, including both macrophage and B cell functions. Further functional characterization of microbial taxa will help disentangle the mechanisms of the correlations described here. In sum, our study supports prevailing hypotheses of intimate links between host immunity and gut microbiome composition. IMPORTANCE Here, we document associations between host gene expression and gut microbiome composition in a nonmammalian vertebrate species. We highlight associations between expression of immune genes and both microbiome diversity and abundance of specific microbial taxa. These findings support other findings from model systems which have suggested that gut microbiome composition and host immunity are intimately linked. Furthermore, we demonstrate that these correlations are truly systemic; the gene expression detailed here was collected from an important fish immune organ (the head kidney) that is anatomically distant from the gut. This emphasizes the systemic impact of connections between gut microbiota and host immune function. Our work is a significant advancement in the understanding of immune-microbiome links in nonmodel, natural systems.

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Ecological networks reveal contrasting patterns of bacterial and fungal communities in glacier-fed streams in Central Asia

10.7287/peerj.preprints.27887 ◽

2019 ◽

Cited By ~ 1

Author(s):

Ze Ren ◽

Hongkai Gao

Keyword(s):

Bacterial Community ◽

Microbial Communities ◽

Central Asia ◽

Fungal Community ◽

Bacterial Communities ◽

Beta Diversity ◽

Hydrological Modeling ◽

Alpha Diversity ◽

Environmental Variation ◽

Fungal Communities

Bacterial and fungal communities in biofilms are important components in driving biogeochemical processes in stream ecosystems. Previous studies have well documented the patterns of bacterial alpha diversity in stream biofilms in glacier-fed streams, where, however, beta diversity of the microbial communities has received much less attention especially considering both bacterial and fungal communities. A focus on beta diversity can provide insights into the mechanisms driving community changes associated to large environmental fluctuations and disturbances, such as in glacier-fed streams. Moreover, modularity of co-occurrence networks can reveal more ecological and evolutionary properties of microbial communities beyond taxonomic groups. Here, integrating beta diversity and co-occurrence approach, we explored the network topology and modularity of the bacterial and fungal communities with consideration of environmental variation in glacier-fed streams in Central Asia. Combining results from hydrological modeling and normalized difference of vegetation index, this study highlighted that hydrological variables and vegetation status are major variables determining the environmental heterogeneity of glacier-fed streams. Bacterial communities formed a more complex and connected network, while the fungal communities formed a more clustered network. Moreover, the strong interrelations among the taxonomic dissimilarities of bacterial community and modules suggest they had common processes in driving diversity and taxonomic compositions across the heterogeneous environment. In contrast, fungal community and modules generally showed distinct driving processes to each other. Moreover, bacterial and fungal communities also had different driving processes. Furthermore, the variation of bacterial community and modules were strongly correlated with hydrological properties and vegetation status but not with nutrients, while fungal community and modules (except one module) were not associated with environmental variation. Our results suggest that bacterial and fungal communities had distinct mechanisms in structuring microbial networks, and environmental variation had strong influences on bacterial communities but not on fungal communities. The fungal communities have unique assembly mechanisms and physiological properties which might lead to their insensitive responses to environmental variations compared to bacterial communities. Overall, beyond alpha diversity in previous studies, these results add our knowledge that bacterial and fungal communities have contrasting assembly mechanisms and respond differently to environmental variation in glacier-fed streams.

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Ecological networks reveal contrasting patterns of bacterial and fungal communities in glacier-fed streams in Central Asia

10.7287/peerj.preprints.27887v1 ◽

2019 ◽

Author(s):

Ze Ren ◽

Hongkai Gao

Keyword(s):

Bacterial Community ◽

Microbial Communities ◽

Central Asia ◽

Fungal Community ◽

Bacterial Communities ◽

Beta Diversity ◽

Hydrological Modeling ◽

Alpha Diversity ◽

Environmental Variation ◽

Fungal Communities

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Microbial communities across a hillslope-riparian transect shaped by proximity to the stream, groundwater table, and weathered bedrock

10.1101/423368 ◽

2018 ◽

Cited By ~ 1

Author(s):

Adi Lavy ◽

David Geller McGrath ◽

Paula B. Matheus Carnevali ◽

Jiamin Wan ◽

Wenming Dong ◽

...

Keyword(s):

Microbial Communities ◽

Riparian Zone ◽

Limited Information ◽

Metabolic Potential ◽

Carbon And Nitrogen ◽

East River ◽

Mountainous Watersheds ◽

Geochemical Analyses ◽

Selenium Reduction ◽

And Function

AbstractWatersheds are important suppliers of freshwater for human societies. Within mountainous watersheds, microbial communities impact water chemistry and element fluxes as water from precipitation events discharges through soils and underlying weathered rock, yet there is limited information regarding the structure and function of these communities. Within the East River, CO watershed, we conducted a depth-resolved, hillslope to riparian zone transect study to identify factors that control how microorganisms are distributed and their functions. Metagenomic and geochemical analyses indicate that distance from the East River and proximity to groundwater and underlying weathered shale strongly impact microbial community structure and metabolic potential. Riparian zone microbial communities are compositionally distinct from all hillslope communities. Bacteria from phyla lacking isolated representatives consistently increase in abundance with increasing depth, but only in the riparian zone saturated sediments did we find Candidate Phyla Radiation bacteria. Riparian zone microbial communities are functionally differentiated from hillslope communities based on their capacities for carbon and nitrogen fixation and sulfate reduction. Selenium reduction is prominent at depth in weathered shale and saturated riparian zone sediments. We anticipate that the drivers of community composition and metabolic potential identified throughout the studied transect will predict patterns across the larger watershed hillslope system.

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