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This study evaluated how tylosin (TYL), ciprofloxacin (CIP), and sulfadimidine (SM2) affected biogas and CH4 production during anaerobic digestion (AD) via their effects on the key genes related to methane production and the methanogenic community. The results showed that TYL, CIP, and SM2 reduced the production of methane during AD by 7.5%, 21.9%, and 16.0%, respectively. After AD for five days, CIP strongly inhibited the mcrA gene, where its abundance was 49% less than that in the control. TYL and SM2 decreased the abundances of Spirochaeta and Fibrobacteres during AD. High-throughput sequencing identified 10 methanogen genera, where Methanocorpusculum, Methanobrevibacter, and Methanosarcina accounted for 99.1% of the total archaeal reads. TYL and SM2 increased the efficiency of the acetoclastic methanogen pathway (Methanosarcina) by 29.04% and 52.79%, respectively. Redundancy analysis showed that Spirochaeta, Fibrobacteres, and Methanosarcina had positive correlations with CH4 and mcrA. We found that 30 mg kg−1 CIP had a strong inhibitory effect on methane production by influencing the abundances of Methanobrevibacter and Methanosarcina during AD.

Globitermes sulphureus is a major pest in coconut plantations and also a secondary pest in the urban, suburban and rural areas of building structures, as well as in tropical agriculture areas. Although the literature revealed microbiome in termite guts, the bacterial community in G. sulphureus intestinal tracts remain largely unidentified. Here, we aimed to characterize the bacterial community associated with the worker and soldier castes of G. sulphureus using 16S metagenomic. The Illumina HiSeq 2500 sequencing machine was used to amplify the V3 and V4 regions of the 16S rRNA gene. The sequencing output was analyzed using Qiime pipeline v1.9.1. The result of the analysis showed that Spirochaetes, Fibrobacteres, Firmicutes, Proteobacteria, and Bacteroidetes were the dominant phyla that reside in the guts of the worker and soldier castes. We found that the worker and soldier castes shared similar bacterial phyla in their guts but different bacterial genera. Our findings provided a baseline information on microbial community inhabiting G. sulphureus guts up to the genus level for some phyla.

Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics and to improve the digester performance. This is an essential yet difficult task due to the complex and unknown interactions within the system. The application of well-developed data mining technologies, such as machine learning (ML) and microbial gene sequencing techniques are promising in overcoming these challenges. In this study, we investigated the feasibility of 6 ML algorithms using genomic data and their corresponding operational parameters from 8 research groups to predict methane yield. For classification models, random forest (RF) achieved accuracies of 0.77 using operational parameters alone and 0.78 using genomic data at the bacterial phylum level alone. The combination of operational parameters and genomic data improved the prediction accuracy to 0.82 (p

Feed efficiency is a highly important economic trait in sheep production and has a significant impact on the economic benefits of sheep farming. Microbial fermentation of the rumen has a vital role in the host's nutrition; the rumen microbiota might affect host feed efficiency. However, the relationship between the rumen microbiota and feed efficiency in sheep is unclear. In the present study, the microbiota of 195 Hu sheep was investigated and their residual feed intake (RFI), a commonly used measure of feed efficiency, was determined. From birth, all sheep were subjected to the same management practices. At slaughter, samples of liquid rumen contents were collected and subjected to amplicon sequencing for the 16S rDNA gene on the IonS5™XL platform. To identify the bacterial taxa differentially represented at the genus or higher taxonomy levels, we used linear discriminant analysis coupled with effect size and curve fitting. In the sheep rumen, the four most abundant phyla were Firmicutes, Bacteroidetes, Fibrobacteres, and Proteobacteria; and the dominant genera were unidentified Prevotellaceae, Fibrobacter, unidentified Lachnospiraceae, Saccharofermentans, and Succinivibrio. Pathway analysis of the 16S rDNA sequencing data from the rumen microbiota identified that carbohydrate metabolism was enriched. Using α-diversity analysis, we further identified that Observed species, ACE, Good's coverage, and Chao1 are more abundant (P

Yak is an important domesticated ruminant on the Qinghai-Tibet Plateau in China. The prokaryotic community of yak remains largely uncharacterized when compared to that of other livestock species. In the present study, high-throughput sequencing of 16S rRNA genes (targeting bacterial and archaeal) and clone library of mcrA gene (targeting methanogenic archaea) were applied to investigate the rumen prokaryotic community structure. High-throughput sequencing results indicated that the rumen prokaryotic community consisted of 29 phyla, 40 classes, 63 orders, 77 families, and 79 genera. Bacteroidetes (59.1%) was the most abundant phylum, followed by Firmicutes , Proteobacteria , Fibrobacteres and Euryarchaeota. Prevotella was the predominant genus, averaging 28.5% of all rumen prokaryotic genera. Archaea accounted for 2.26% of the total prokaryotic community, with their community dominated by Methanobacteriaceae (82%), followed by Methanomassiliicoccaceae , and Methanosarcinaceae . Compared with the clone library of mcrA gene, high-throughput sequencing of 16S rRNA genes yielded a greater coverage of methanogenic archaea diversity. However, both molecular techniques showed that Methanobrevibacter is the predominant archaea of rumen microbiota in yaks grazing natural pastures. Our results should facilitate understanding of the complex rumen ecosystem and the main process of ruminal methanogenesis, which may help to further mitigate CH 4 emissions from ruminants.

Bacterial community structure was analysed from the coastal and offshore surface waters of the Bay of Bengal (BoB) using of Next Generation Sequencing (NGS) approach. Taxonomic richness was high in the offshore waters compared to the coastal waters. Analysis of sequence data revealed that both the offshore and coastal waters in our study were dominated by Proteobacteria (67.14% and 61.91%, respectively). The most dominant genera in the coastal waters were Synechococcus, Erythrobacter, Psychrobacter while Prochlorococcus, and Vibrio were dominant in the offshore waters. Interestingly, the distribution of minor phyla was distinctly different in coastal and offshore environments. Fusobacteria, Synergistetes, Fibrobacteres, Spirochaetes, Gemmatimonadetes, Chlorobi, Chlamydiae, and Armatimonadetes were the minor phyla (6.84%) present in offshore waters. The metabolic predictions of the bacterial communities revealed distinctly different activities in the coastal and offshore water samples, which could be attributed to the differences in the physico-chemical conditions and substrate availability. Major functions included sulfate reduction, oxalic acid degradation, dehalogenation, nitrite reduction, ammonia oxidation, nitrogen fixation, xylan degradation, and aromatic hydrocarbons degradation.

Elevated atmospheric CO2 concentration (eCO2) may have different effects on the bacterial community with regard to C assimilation and decomposition in eutrophic waters compared to that in fresh waters with intermediate levels of nutrients and oceans. Aquatic plant growth under eCO2 could further modify microbial activities associated with the C cycle in eutrophic waters. Therefore, there is an urgent need to further study how eCO2 and its interactions with the growth of aquatic plants affect the composition and function of the bacterial community involved in mediating the C cycle in eutrophic waters. Accordingly, we designed a microcosm experiment to investigate the effects of ambient and high CO2 concentrations on bacterial community composition and function in eutrophic waters with and without the growth of Eichhornia crassipes (Mart.) Solms. The results from 16S rRNA gene sequencing, function prediction, and q-PCR showed that eCO2 significantly increased the abundance of bacterial and functional genes involved in CO2 assimilation (photosynthetic bacteria; cbbL IA & IC, cbbL ID, cbbM, pufM) and C decomposition (Acidimicrobiia, Thermoleophilia, Gaiellales; ChiA), illustrating the functional enrichment with photoautotrophy, hydrocarbon degradation, cellulolysis, and aromatic hydrocarbon degradation. However, eCO2 decreased the abundance of some chemoautotrophic bacteria, including nitrifying bacteria (Nitrospirae, Nitrosomonadaceae). In contrast, the cultivation of E. crassipes decreased the abundance of photosynthetic bacteria but increased the abundance of bacteria involved in complex C decomposition associated with root exudates and degradation, e.g. Fibrobacteres, Sphingobacteriales, Sphingomonadales, and Rhizobiales. eCO2 and growth of E. crassipes had opposite effects on algal density in eutrophic waters, creating interactive effects that further decreased the diversity of the bacterial community and abundance of some CO2-assimilating bacteria with nitrifying characteristics (Nitrosomonadaceae) and some C-degrading bacteria (Fibrobacteres) with denitrifying properties (Flavobacteriaceae, Sphingomonadaceae, and Gemmobacter). Therefore, the interactions between aquatic plants and the bacterial community in eutrophic waters under eCO2 would be beneficial to the environment and help alleviate the greenhouse effect.

Murrah and Nili-Ravi are water buffalo breeds widely used as dairy animals in Asian countries. In this study, we investigated the diversity of ruminal microbes in six Murrah and six Nili-Ravi water buffaloes consuming diets typical of those used in Southern China which had forage to concentrate ratios of 3.2 and 1.6. After feeding the diets for 25 days, ruminal fluid was sampled by stomach tube before the morning feeding. Bacterial and archaeal 16S rRNA genes and the ciliate protozoal 18S rRNA genes were PCR-amplified from DNA extracted from rumen samples, sequenced using 454 Titanium pyrosequencing, and analyzed using the QIIME software package. Our results showed that, at the phylum level, Bacteroidetes was the predominant bacterial group, accounting for 42–72% of total bacteria, followed by Firmicutes, Fibrobacteres, Proteobacteria and Spirochaetes. At genus level, Prevotella dominated, accounting for 22–58% of total bacteria, followed by Fibrobacter, Paludibacter, and Ruminococcus. While there were differences between the bacterial community compositions of different animals, there was no obvious correlation of bacterial community composition at the phylum or genus level with the diets or with buffalo breeds. Methanobrevibacter-related organisms were the dominant archaeal group, accounting for around 80% of the total, followed by Methanomassiliicoccales (Rumen Cluster C (RCC), 15%) and Methanosphaera (3%). Similar to the bacterial community, there was no obvious correlation of archaeal community profiles with diet or buffalo breed. The ciliate protozoal communities differed between the samples analyzed, and Entodinium was the most abundant group of ciliates in every sample, accounting for more than 40% of total protozoa. The second largest ciliate group varied in different samples, with Isotricha, Polyplastron or Dasytricha being the most dominant genera after Entodinium.

The Fibrobacteres phylum contains two described species, Fibrobacter succinogenes and Fibrobacter intestinalis, both of which are prolific degraders of cellulosic plant biomass in the herbivore gut. However, recent 16S rRNA gene sequencing studies have identified novel Fibrobacteres in landfill sites, freshwater lakes and the termite hindgut, suggesting that members of the Fibrobacteres occupy a broader ecological range than previously appreciated. In this study, the ecology and diversity of Fibrobacteres was evaluated in 64 samples from contrasting environments where cellulose degradation occurred. Fibrobacters were detected in 23 of the 64 samples using Fibrobacter genus-specific 16S rRNA gene PCR, which provided their first targeted detection in marine and estuarine sediments, cryoconite from Arctic glaciers, as well as a broader range of environmental samples. To determine the phylogenetic diversity of the Fibrobacteres phylum, Fibrobacter-specific 16S rRNA gene clone libraries derived from 17 samples were sequenced (384 clones) and compared with all available Fibrobacteres sequences in the Ribosomal Database Project repository. Phylogenetic analysis revealed 63 lineages of Fibrobacteres (95% OTUs), with many representing as yet unclassified species. Of these, 24 OTUs were exclusively comprised of fibrobacters derived from environmental (non-gut) samples, 17 were exclusive to the mammalian gut, 15 to the termite hindgut, and 7 comprised both environmental and mammalian strains, thus establishing Fibrobacter spp. as indigenous members of microbial communities beyond the gut ecosystem. The data highlighted significant taxonomic and ecological diversity within the Fibrobacteres, a phylum circumscribed by potent cellulolytic activity, suggesting considerable functional importance in the conversion of lignocellulosic biomass in the biosphere.

Members of the phylum Fibrobacteres are highly efficient cellulolytic bacteria, best known for their role in rumen function and as potential sources of novel enzymes for bioenergy applications. Despite being key members of ruminants and other digestive microbial communities, our knowledge of this phylum remains incomplete, as much of our understanding is focused on two recognized species, Fibrobacter succinogenes and F. intestinalis. As a result, we lack insights regarding the environmental niche, host range, and phylogenetic organization of this phylum. Here, we analyzed over 1000 16S rRNA Fibrobacteres sequences available from public databases to establish a phylogenetic framework for this phylum. We identify both species- and genus-level clades that are suggestive of previously unknown taxonomic relationships between Fibrobacteres in addition to their putative lifestyles as host-associated or free-living. Our results shed light on this poorly understood phylum and will be useful for elucidating the function, distribution, and diversity of these bacteria in their niches.

We studied the composition of archaeal and bacterial communities present in the sediment and plankton of a shallow suboxic-to-anoxic freshwater pond with high organic matter input, as an example of a kind of inland freshwater system widely distributed in forests of temperate regions. Molecular surveys based on small subunit rRNA genes showed a remarkably high diversity of lineages within the Bacteria, with a total of 18 phyla or candidate divisions being detected, in addition to a few highly divergent phylotypes of unknown affiliation. We identified members of the five subdivisions of the Proteobacteria, as well as Acidobacteria, Verrucomicrobia, Planctomycetes, Bacteroidetes, Chlorobi, Actinobacteria, Firmicutes, Chloroflexi, Gemmatimonadetes, Spirochaetes, Fibrobacteres and the candidate divisions OD1, OP11, TM6, WS1, WS6 and Termite Group 1 ("Endobacteria"). Candidate division OD1 and beta-Proteobacteria were dominant in the environmental libraries of plankton and sediment, respectively. Archaea were also very diverse, but only members of the Euryarchaeota, including Methanosarcinales, Methanomicrobiales and some divergent lineages, were identified. The application of various species richness estimators confirmed the highly diverse nature of both plankton and sediment samples. The pond is a microbial-based complex ecosystem mainly fueled by the degradation of allochthonous organic matter that maintains tightly coupled carbon and sulfur cycles.