scholarly journals Response of Root-Associated Bacterial Communities to Different Degrees of Soft Rot Damage in Amorphophallus konjac Under a Robinia pseudoacacia Plantation

2021 ◽  
Vol 12 ◽  
Author(s):  
Fei He
Keyword(s):  
Community Composition ◽  
Bacterial Communities ◽  
Disease Incidence ◽  
Robinia Pseudoacacia ◽  
Alpha Diversity ◽  
Soft Rot ◽  
Rrna Gene ◽  
Illumina Hiseq ◽  
Amorphophallus Konjac ◽  
Damage Degree

Bacterial soft rot is a destructive disease that restricts the development of the konjac (Amorphophallus konjac K. Koch ex N.E.Br) industry. The objective of this study was to investigate how soft rot disease affects bacterial communities associated with the roots of konjac plants growing under a pure Robinia pseudoacacia plantation. Three sampling sites affected by different degrees of soft rot damage were selected based on the disease incidence [0%, non-diseased (ND); 4.2%, moderately diseased (MD); and 18.6%, highly diseased (HD)]. The variation in soil and root bacterial diversity and community composition among the sampling sites was determined by Illumina HiSeq sequencing of the V3–V4 hypervariable regions of the bacterial 16S rRNA gene. The results showed that the contents of soil organic matter and available nutrients (N, P, and K) increased with increasing damage degree, whereas higher damage degree resulted in lower soil pH and enzymatic activity (sucrase, urease, catalase, and polyphenol oxidase). The composition of root-associated bacterial communities differed among the three sampling sites. Proteobacteria was the most dominant bacterial phylum in all soil and root samples. Pseudomonas, Bacillus, Rhizobium, and Streptomyces were the most abundant in all samples from the ND sites, whereas Pectobacterium carotovorum and Serratia were predominant in the samples from the MD and HD sites. The abundance and alpha diversity of root-associated bacteria were significantly higher (p < 0.05) in the ND sites than in the diseased sites. The results suggested pronounced differences in the abundance, alpha diversity, and community composition of bacteria associated with the roots of konjac plants affected by different degrees of soft rot damage. Such differences in bacterial community structure were related to dynamic changes in soil variables, especially soil available potassium content, sucrase activity, and urease activity. Analysis of the dominant root-associated bacterial taxa offers an approach to predict the damage degree due to soft rot in konjac and provides evidence for the prevention of this soil-borne disease via microecological regulation.

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

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.

scholarly journals Gut microbiota composition is associated with narcolepsy type 1

2020 ◽  
Vol 7 (6) ◽  
pp. e896
Author(s):  
Alexandre Lecomte ◽  
Lucie Barateau ◽  
Pedro Pereira ◽  
Lars Paulin ◽  
Petri Auvinen ◽  
...  
Keyword(s):  
Community Structure ◽  
Gut Microbiota ◽  
Bacterial Communities ◽  
Beta Diversity ◽  
Alpha Diversity ◽  
Amplicon Sequencing ◽  
Rrna Gene ◽  
Differential Abundance ◽  
Alpha And Beta Diversity

ObjectiveTo test the hypothesis that narcolepsy type 1 (NT1) is related to the gut microbiota, we compared the microbiota bacterial communities of patients with NT1 and control subjects.MethodsThirty-five patients with NT1 (51.43% women, mean age 38.29 ± 19.98 years) and 41 controls (57.14% women, mean age 36.14 ± 12.68 years) were included. Stool samples were collected, and the fecal microbiota bacterial communities were compared between patients and controls using the well-standardized 16S rRNA gene amplicon sequencing approach. We studied alpha and beta diversity and differential abundance analysis between patients and controls, and between subgroups of patients with NT1.ResultsWe found no between-group differences for alpha diversity, but we discovered in NT1 a link with NT1 disease duration. We highlighted differences in the global bacterial community structure as assessed by beta diversity metrics even after adjustments for potential confounders as body mass index (BMI), often increased in NT1. Our results revealed differential abundance of several operational taxonomic units within Bacteroidetes, Bacteroides, and Flavonifractor between patients and controls, but not after adjusting for BMI.ConclusionWe provide evidence of gut microbial community structure alterations in NT1. However, further larger and longitudinal multiomics studies are required to replicate and elucidate the relationship between the gut microbiota, immunity dysregulation and NT1.

scholarly journals Regime Transition Shapes the Composition, Assembly Processes and Co-Occurrence Pattern of Bacterioplankton Community in a Large Eutrophic Freshwater Lake

2021 ◽  
Author(s):  
Xinyi Cao ◽  
Dayong Zhao ◽  
Lisa Röttjers ◽  
Karoline Faust ◽  
Hongjie Zhang
Keyword(s):  
Community Composition ◽  
Regime Shift ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Nutrient Concentrations ◽  
Rrna Gene ◽  
Network Clustering ◽  
Regime Transition ◽  
Bacterioplankton Community ◽  
Occurrence Pattern

Abstract At certain nutrient concentrations, shallow freshwater lakes are generally characterized by two contrasting ecological regimes with disparate patterns of biodiversity and biogeochemical cycles: a macrophyte-dominated regime (MDR) and a phytoplankton-dominated regime (PDR).To reveal ecological mechanisms that affect bacterioplankton along the regime shift, Illumina MiSeq sequencing of the 16S rRNA gene combined with a novel network clustering tool (Manta) were used to identify patterns of bacterioplankton community composition across the regime shift in Taihu Lake, China. Marked divergence in the composition and ecological assembly processes of bacterioplankton community were observed under the regime shift. The alpha diversity of bacterioplankton community was observed to consistently and continuously decrease with the regime shift from MDR to PDR, while the beta diversity presents the opposite. Moreover, as the regime shifted from MDR to PDR, the contribution of deterministic processes first decreased and then increased again closer to the PDR, most likely as a consequence of differences in nutrient concentration. The topological properties of bacterioplankton co-occurrence networks along the regime shift differed, and the co-occurrences among species changed in structure and were significantly shaped by the environmental variables along the regime transition from MDR to PDR. The divergent environmental state of the regimes with diverse nutritional status may be the most important factor that contributes to the dissimilarity of bacterioplankton community composition along the regime shift and could be represented by phosphorus concentrations as well as several indicator species.

scholarly journals Soil pH is the primary factor driving the distribution and function of microorganisms in farmland soils in northeastern China

2019 ◽  
Vol 69 (13) ◽  
pp. 1461-1473 ◽  
Author(s):  
Cheng-yu Wang ◽  
Xue Zhou ◽  
Dan Guo ◽  
Jiang-hua Zhao ◽  
Li Yan ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Soil Ph ◽  
Bacterial Communities ◽  
Nitrifying Bacteria ◽  
Rrna Gene ◽  
Ecological Functions ◽  
Illumina Hiseq ◽  
Α Diversity ◽  
Farmland Soils ◽  
Soil Bacterial

Abstract Purpose To understand which environmental factors influence the distribution and ecological functions of bacteria in agricultural soil. Method A broad range of farmland soils was sampled from 206 locations in Jilin province, China. We used 16S rRNA gene-based Illumina HiSeq sequencing to estimated soil bacterial community structure and functions. Result The dominant taxa in terms of abundance were found to be, Actinobacteria, Acidobacteria, Gemmatimonadetes, Chloroflexi, and Proteobacteria. Bacterial communities were dominantly affected by soil pH, whereas soil organic carbon did not have a significant influence on bacterial communities. Soil pH was significantly positively correlated with bacterial operational taxonomic unit abundance and soil bacterial α-diversity (P<0.05) spatially rather than with soil nutrients. Bacterial functions were estimated using FAPROTAX, and the relative abundance of anaerobic and aerobic chemoheterotrophs, and nitrifying bacteria was 27.66%, 26.14%, and 6.87%, respectively, of the total bacterial community. Generally, the results indicate that soil pH is more important than nutrients in shaping bacterial communities in agricultural soils, including their ecological functions and biogeographic distribution.

Fecal microbiota in untreated children with Juvenile Idiopathic Arthritis – a comparison with healthy children and healthy siblings

2020 ◽  
pp. jrheum.200551
Author(s):  
Anders Öman ◽  
Johan Dicksved ◽  
Lars Engstrand ◽  
Lillemor Berntson
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Community Composition ◽  
Alpha Diversity ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Healthy Children ◽  
Healthy Controls ◽  
Α Diversity ◽  
Healthy Siblings ◽  
Relative Abundances

Objective Changes in the composition of gut microbiota has been suggested to be associated with Juvenile idiopathic arthritis (JIA). The objective in this study was to investigate if the diversity and composition of the fecal microbiota differed between children with JIA and healthy controls, and if the microbiota differed between children with JIA and their healthy siblings. Methods In this multicenter, case-control study, fecal samples were collected from 75 children with JIA and 32 healthy controls. Eight of the healthy controls were siblings to eight children with JIA and they were compared only pairwise with their siblings. The microbiota was determined using sequencing amplicons from the V3 and V4 regions of the 16S rRNA gene. Alpha diversity, community composition of microbiota and relative abundances of taxa were compared between children with JIA and healthy unrelated controls as well as between children with JIA and healthy siblings. Results Our data revealed no significant differences in α-diversity or community composition of microbiota between children with JIA, healthy unrelated controls or healthy siblings. Analyses of relative abundances of phyla, families and genera identified trends of differing abundances of some taxa in children with JIA, in comparison with both healthy controls and healthy siblings, but none of these findings were significant after adjustment for multiple comparisons. Conclusion There were no significant differences in the composition of fecal microbiota in children with JIA compared with healthy controls. The composition of microbiota in children with JIA did not differ significantly from that in their healthy siblings.

scholarly journals Vaginal bacterial community composition and concentrations of estradiol at the time of artificial insemination in Brangus heifers

2020 ◽  
Vol 98 (6) ◽  
Author(s):  
Riley D Messman ◽  
Zully E Contreras-Correa ◽  
Henry A Paz ◽  
George Perry ◽  
Caleb O Lemley
Keyword(s):  
Bacterial Community ◽  
Community Composition ◽  
Artificial Insemination ◽  
Beta Diversity ◽  
Bacterial Community Composition ◽  
Alpha Diversity ◽  
Species Level ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Vaginal Tract

Abstract The knowledge surrounding the bovine vaginal microbiota and its implications on fertility and reproductive traits remains incomplete. The objective of the current study was to characterize the bovine vaginal bacterial community and estradiol concentrations at the time of artificial insemination (AI). Brangus heifers (n = 78) underwent a 7-d Co-Synch + controlled internal drug release estrus synchronization protocol. At AI, a double-guarded uterine culture swab was used to sample the anterior vaginal tract. Immediately after swabbing the vaginal tract, blood samples were collected by coccygeal venipuncture to determine concentrations of estradiol. Heifers were retrospectively classified as pregnant (n = 29) vs. nonpregnant (n = 49) between 41 and 57 d post-AI. Additionally, heifers were classified into low (1.1 to 2.5 pg/mL; n = 21), medium (2.6 to 6.7 pg/mL; n = 30), and high (7.2 to 17.6 pg/mL; n = 27) concentration of estradiol. The vaginal bacterial community composition was determined through sequencing of the V4 region from the 16S rRNA gene using the Illumina Miseq platform. Alpha diversity was compared via ANOVA and beta diversity was compared via PERMANOVA. There were no differences in the Shannon diversity index (alpha diversity; P = 0.336) or Bray–Curtis dissimilarity (beta diversity; P = 0.744) of pregnant vs. nonpregnant heifers. Overall, bacterial community composition in heifers with high, medium, or low concentrations of estradiol did not differ (P = 0.512). While no overall compositional differences were observed, species-level differences were present within pregnancy status and estradiol concentration groups. The implications of these species-level differences are unknown, but these differences could alter the vaginal environment thereby influencing fertility and vaginal health. Therefore, species-level changes could provide better insight rather than overall microbial composition in relation to an animal’s reproductive health.

scholarly journals Niche specificity and functional diversity of the bacterial communities associated with Ginkgo biloba and Panax quinquefolius

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hanan R. Shehata ◽  
Subramanyam Ragupathy ◽  
Thomas A. Henry ◽  
Steven G. Newmaster
Keyword(s):  
Functional Diversity ◽  
Ginkgo Biloba ◽  
Bacterial Communities ◽  
High Throughput Sequencing ◽  
Alpha Diversity ◽  
Panax Quinquefolius ◽  
Tissue Type ◽  
Rrna Gene ◽  
Associated Bacteria ◽  
Kegg Pathways

AbstractPlant-associated bacteria can establish mutualistic relationships with plants to support plant health. Plant tissues represent heterogeneous niches with distinct characteristics and may thus host distinct microbial populations. The objectives of this study are to investigate the bacterial communities associated with two medicinally and commercially important plant species; Ginkgo biloba and Panax quinquefolius using high Throughput Sequencing (HTS) of 16S rRNA gene, and to evaluate the extent of heterogeneity in bacterial communities associated with different plant niches. Alpha diversity showed that number of operational taxonomic units (OTUs) varied significantly by tissue type. Beta diversity revealed that the composition of bacterial communities varied between tissue types. In Ginkgo biloba and Panax quinquefolius, 13% and 49% of OTUs, respectively, were ubiquitous in leaf, stem and root. Proteobacteria, Bacteroidetes, Actinobacteria and Acidobacteria were the most abundant phyla in Ginkgo biloba while Proteobacteria, Bacteroidetes, Actinobacteria, Plantomycetes and Acidobacteria were the most abundant phyla in Panax quinquefolius. Functional prediction of these bacterial communities using MicrobiomeAnalyst revealed 5843 and 6251 KEGG orthologs in Ginkgo biloba and Panax quinquefolius, respectively. A number of these KEGG pathways were predicted at significantly different levels between tissues. These findings demonstrate the heterogeneity, niche specificity and functional diversity of plant-associated bacteria.

scholarly journals The impact of persistent bacterial bronchitis on the pulmonary microbiome of children

2017 ◽  
Author(s):  
Leah Cuthbertson ◽  
Vanessa Craven ◽  
Lynne Bingle ◽  
William O.C.M. Cookson ◽  
Mark L. Everard ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Bacterial Diversity ◽  
Community Composition ◽  
Bacterial Communities ◽  
Microbial Community Analysis ◽  
Rrna Gene ◽  
Healthy Children ◽  
Significant Difference ◽  
The Impact

AbstractPersistent bacterial bronchitis is a leading cause of chronic wet cough in young children. This study aimed to characterise the respiratory bacterial microbiota of healthy children and to assess the impact of the changes associated with the development of persistent bacterial bronchitis.Blind, protected brushings were obtained from 20 healthy controls and 24 children with persistent bacterial bronchitis, with an additional directed sample obtained from persistent bacterial bronchitis patients. DNA was extracted, quantified using a 16S rRNA gene quantitative PCR assay prior to microbial community analysis by 16S rRNA gene sequencing.No significant difference in bacterial diversity or community composition (R2 = 0.01, P = 0.36) was observed between paired blind and non-blind brushes, showing that blind brushings are a valid means of accessing the airway microbiota. This has important implications for collecting lower respiratory samples from healthy children. A significant decrease in bacterial diversity (P < 0.001) and change in community composition (R2 = 0.08, P = 0.004) was observed between controls and patients. Bacterial communities within patients with PBB were dominated by Proteobacteria, and indicator species analysis showed that Haemophilus and Neisseria were significantly associated with the patient group. In 15 (52.9%) cases the dominant organism by sequencing was not identified by standard routine clinical culture.The bacteria present in the lungs of patients with persistent bacterial bronchitis were less diverse in terms of richness and evenness. The results validate the clinical diagnosis, and suggest that more attention to bacterial communities in children with chronic cough may lead to more rapid recognition of this condition with earlier treatment and reduction in disease burden.

scholarly journals Impact of enzymatic digestion on bacterial community composition in CF airway samples

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3362 ◽  
Author(s):  
Kayla M. Williamson ◽  
Brandie D. Wagner ◽  
Charles E. Robertson ◽  
Emily J. Johnson ◽  
Edith T. Zemanick ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Dna Extraction ◽  
Community Composition ◽  
Bacterial Communities ◽  
Beta Diversity ◽  
Diversity Index ◽  
Bacterial Community Composition ◽  
Microbial Community Composition ◽  
Enzymatic Digestion ◽  
Rrna Gene

BackgroundPrevious studies have demonstrated the importance of DNA extraction methods for molecular detection ofStaphylococcus,an important bacterial group in cystic fibrosis (CF). We sought to evaluate the effect of enzymatic digestion (EnzD) prior to DNA extraction on bacterial communities identified in sputum and oropharyngeal swab (OP) samples from patients with CF.MethodsDNA from 81 samples (39 sputum and 42 OP) collected from 63 patients with CF was extracted in duplicate with and without EnzD. Bacterial communities were determined by rRNA gene sequencing, and measures of alpha and beta diversity were calculated. Principal Coordinate Analysis (PCoA) was used to assess differences at the community level and Wilcoxon Signed Rank tests were used to compare relative abundance (RA) of individual genera for paired samples with and without EnzD.ResultsShannon Diversity Index (alpha-diversity) decreased in sputum and OP samples with the use of EnzD. Larger shifts in community composition were observed for OP samples (beta-diversity, measured by Morisita-Horn), whereas less change in communities was observed for sputum samples. The use of EnzD with OP swabs resulted in significant increase in RA for the generaGemella(p < 0.01),Streptococcus(p < 0.01), andRothia(p < 0.01).Staphylococcus(p < 0.01) was the only genus with a significant increase in RA from sputum, whereas the following genera decreased in RA with EnzD:Veillonella(p < 0.01),Granulicatella(p < 0.01),Prevotella(p < 0.01), andGemella(p = 0.02). In OP samples, higher RA of Gram-positive taxa was associated with larger changes in microbial community composition.DiscussionWe show that the application of EnzD to CF airway samples, particularly OP swabs, results in differences in microbial communities detected by sequencing. Use of EnzD can result in large changes in bacterial community composition, and is particularly useful for detection ofStaphylococcusin CF OP samples. The enhanced identification ofStaphylococcus aureusis a strong indication to utilize EnzD in studies that use OP swabs to monitor CF airway communities.

Effects of geographic location and water quality on bacterial communities in full-scale biofilters across North America

2020 ◽  
Vol 96 (2) ◽  
Author(s):  
Ben Ma ◽  
Timothy M LaPara ◽  
Ashley N. Evans ◽  
Raymond M Hozalski
Keyword(s):  
Water Quality ◽  
North America ◽  
Bacterial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Community Composition ◽  
Bacterial Communities ◽  
Bacterial Community Composition ◽  
Geographic Location ◽  
Rrna Gene

ABSTRACT Spatial patterns of bacterial community composition often follow a distance–decay relationship in which community dissimilarity increases with geographic distance. Such a relationship has been commonly observed in natural environments, but less so in engineered environments. In this study, bacterial abundance and community composition in filter media samples (n = 57) from full-scale rapid biofilters at 14 water treatment facilities across North America were determined using quantitative polymerase chain reaction and Illumina HiSeq high-throughput sequencing targeting the 16S rRNA gene, respectively. Bacteria were abundant on the filter media (108.8±0.3 to 1010.7±0.2 16S rRNA gene copies/cm3 bed volume) and the bacterial communities were highly diverse (Shannon index: 5.3 ± 0.1 to 8.4 ± 0.0). Significant inter-filter variations in bacterial community composition were observed, with weighted UniFrac dissimilarity values following a weak but highly significant distance–decay relationship (z = 0.0057 ± 0.0006; P = 1.8 × 10−22). Approximately 50% of the variance in bacterial community composition was explained by the water quality parameters measured at the time of media sample collection (i.e. pH, temperature and dissolved organic carbon concentration). Overall, this study suggested that the microbiomes of biofilters are primarily shaped by geographic location and local water quality conditions but the influence of these factors on the microbiomes is tempered by filter design and operating conditions.

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