Genetic Information Processing Research Articles

Essential genes for Haemophilus parainfluenzae survival and biofilm growth.

Haemophilus parainfluenzae (Hp) is a Gram-negative, highly prevalent, and abundant commensal in the human oral cavity, and an infrequent extraoral opportunistic pathogen. Hp occupies multiple niches in the oral cavity, including the supragingival plaque biofilm. Little is known about how Hp interacts with its neighbors in healthy biofilms nor its mechanisms of pathogenesis as an opportunistic pathogen. To address this, we identified the essential genome and conditionally essential genes in in vitro biofilms aerobically and anaerobically. Using transposon insertion sequencing (TnSeq) with a highly saturated mariner transposon library in two strains, the ATCC33392 type-strain (Hp 392) and oral isolate EL1 (Hp EL1), we show that the essential genomes of Hp 392 and Hp EL1 are composed of 395 (20%) and 384 (19%) genes, respectively. The core essential genome, consisting of 341 (17%) essential genes conserved between both strains, was composed of genes associated with genetic information processing, carbohydrate, protein, and energy metabolism. We also identified conditionally essential genes for aerobic and anaerobic biofilm growth, which were associated with carbohydrate and energy metabolism in both strains. RNAseq analysis determined that most genes upregulated during anaerobic growth are not essential for Hp 392 anaerobic survival. The completion of this library and analysis under these conditions gives us a foundational insight into the basic biology of H. parainfluenzae in differing oxygen conditions, similar to its in vivo habitat. This library presents a valuable tool for investigation into conditionally essential genes for an organism that lives in close contact with many microbial species in the human oral habitat.IMPORTANCEHaemophilus parainfluenzae is a highly abundant human commensal microbe, present in most healthy individuals where it colonizes the mouth. H. parainfluenzae correlates with good oral health and may play a role in preservation of healthy host status. Also, H. parainfluenzae can cause opportunistic infections outside of the oral cavity. To date, little is known about how H. parainfluenzae colonizes the human host, despite being such a frequent and abundant part of our human microbiome. Here, we demonstrate the creation and use of a powerful tool, a TnSeq library, used to identify genes necessary for both the outright growth of this organism and also genes conditionally essential for growth in varying oxygen status which it can encounter in the human host. This tool and these data serve as a foundation for further study of this relatively unknown organism that may play a role in preserving human health.

Dysbiosis of the gut microbiota in glioblastoma patients and potential biomarkers for risk assessment

BackgroundThe significant death rate of glioblastoma is well-known around the world. The link between gut microbiota and glioma is becoming more studied. The goal of this study was to look at the relationships between intestinal flora and glioblastoma, and to provide a new perspective for the diagnosis as well as treatment of glioblastoma. MethodsFecal samples from 80 participants with glioblastoma (n = 40) and healthy individuals (n = 40) in this study were collected as well as analyzed utilizing 16S rRNA gene amplicon sequencing in order to characterize the gut microbial community. ResultsEach group has its own microbial community, and the microbial environment of glioblastoma patients had lower richness and evenness. The structure of gut microbiota community in glioblastoma patients showed profound changes, which includes the increase of pathogens in Fusobacteria and Bacteroidetes, and the reduction of probiotic bacteria in Firmicutes, Actinobacteria and Verrucomicrobia. Meanwhile, the significant correlations and clustering of OTUS (operational taxonomic units) in glioblastoma patients were discovered, and a biomarker panel (Fusobacterium, Escherichia/Shigella, Ruminococcus gnavus group, Lachnospira, Akkermansia, Parasutterella) had been used to discriminate the patients with glioblastoma from the healthy subjects (AUC: 0.80). Furthermore, the glioblastoma group exhibited multiple disturbed pathways through KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis, particularly in genetic information processing. Moreover, the prediction of phenotypic characteristics of microbiome proposed that the glioblastoma patients might have more Gram-negative bacteria and opportunistic pathogens than the healthy controls. ConclusionsWhen compared to healthy people, glioblastoma sufferers have a different host-microbe interaction. Furthermore, certain types of intestinal flora could be regarded as biomarkers and drug targets for the diagnosis as well as treatment of glioblastomas.

Sediment microbial diversity, functional potentials, and antibiotic resistance pattern: a case study of Cochin Estuary core sediment.

Marine sediments are an important part of the marine environment and the world's greatest organic carbon source. Sediment microorganisms are important regulators of major geochemical and eco-environmental processes in marine environments, especially nutrient dynamics and biogeochemical cycles. Despite their importance, core marine microorganisms are virtually unknown due to a lack of consensus on how to identify them. Most core microbiotas have been characterized thus far based on species abundance and occurrence. The combined effects of habitat and depth on benthic bacterial communities and ecological functions were studied using "Next-Generation sequencing (NGS) and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) predictive functional profiling" at the surface (0.2cm) and bottom depth (250cm) in a sediment core sample from Cochin Estuary, Kerala, India. The results showed that bacterial diversity and richness were significantly higher in the surface sediment sample with the most abundant phyla being Proteobacteria, Acidobacteria, Chloroflexi, and Bacteroidetes. The major metabolic functions were metabolism, followed by environmental information processing and genetic information processing. Antibiotic resistance genes between the surface and bottom samples help to understand the resistance pattern among multidrug resistance is the most prominent one. Among viruses, Siphoviridae is the dominant family, followed by Myoviridae. In the case of Archea, Crenarchaeota is dominant, whereas among eukaryotes phyla Streptophyta and Chordata were dominant in the surface and the bottom samples respectively.

Multiomics-Based Biocargo Components Analysis in Enterococcus faecium Membrane Vesicles.

Enterococcus spp. have been shown to have gastrointestinal tract protective functions; our recent results suggest that membrane vesicles (MVs) play an important role in the gastric protection of Enterococcus faecium (E. faecium). The specific function is determined by molecular compositions of MVs. To resolve biocargo components in E. faecium MVs (EfmMVs), MVs were isolated from E. faecium culture. Transcriptomics, label-free quantitative proteomics, and untargeted metabolomics were performed to obtain information about the complexity of ribonucleic acids (RNAs), proteins, and metabolites biocargo they carry, respectively. RNA-sequencing identified a total of 2122 transcripts. The top 20 transcripts accounted for 27.63% of total counts, which, including enzymes, participate in glycolysis, ribosomal proteins, DNA-directed RNA polymerases, protein-synthesizing relative enzymes, molecules associated with protein post-translational processing and transport, and peptidoglycan lyases. Label-free quantitative proteomics analysis identified a total of 711 proteins. The top 20 proteins accounted for 48.02% of all identified proteins, which including ribosomal proteins, enzymes participate in glycolysis, DNA-directed RNA polymerases, protein-synthesizing relative enzymes, peptidoglycan lyases, and autolysin. Untargeted metabolomics analysis identified a total of 519 metabolites. The top 20 metabolites accounted for 79.55% of all identified metabolites, which included amino acids, substrates, or products in the metabolism of amino acids, natural organic acids, products in the metabolism of organic acids, ketone compounds, and two other compounds. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses indicated that the identified biocargo components enriched in metabolism, genetic, and environmental information processing. Overall, we hope that the current exploration of multiple "-omics" analyses of this EfmMVs will provide useful information and further groundwork for future studies on E. faecium application.

Ultrasonic treatment can improve maize seed germination and abiotic stress resistance

Constant-frequency ultrasonic treatment helped to improve seed germination. However, variable-frequency ultrasonic treatment on maize seed germination were rarely reported. In this study, maize seeds were exposed to 20–40 kHz ultrasonic for 40 s. The germination percentage and radicle length of maize seeds increased by 10.4% and 230.5%. Ultrasonic treatment also significantly increased the acid protease, α-amylase, and β-amylase contents by 96.4%, 73.8%, and 49.1%, respectively. Transcriptome analysis showed that 11,475 differentially expressed genes (DEGs) were found in the ultrasonic treatment and control groups, including 5,695 upregulated and 5,780 downregulated. Metabolic pathways and transcription factors (TFs) were significantly enriched among DEGs after ultrasonic treatment. This included metabolism and genetic information processing, that is, ribosome, proteasome, and pyruvate metabolism, sesquiterpenoid, triterpenoid, and phenylpropanoid biosynthesis, and oxidative phosphorylation, as well as transcription factors in the NAC, MYB, bHLH, WRKY, AP2, bZIP, and ARF families. Variable-frequency ultrasonic treatment increased auxin, gibberellin, and salicylic acid by 5.5%, 37.3%, and 28.9%, respectively. Abscisic acid significantly decreased by 33.2%. The related DEGs were upregulated and downregulated to varying degrees. Seed germination under the abiotic stress conditions of salt stress (NaCl solution), drought (PEG solution), and waterlogging (water-saturated sand bed) under ultrasonic treatment were promoted, radicle length was significantly increased by 30.2%, 30.5%, and 27.3%, respectively; and germination percentage by 14.8%, 20.1%, and 21.6%, respectively. These findings provide new insight into the mechanisms through ultrasonic to promote maize seed germination.

Development and implementation of a core genome multilocus sequence typing scheme for Haemophilus influenzae.

Haemophilus influenzae is part of the human nasopharyngeal microbiota and a pathogen causing invasive disease. The extensive genetic diversity observed in H. influenzae necessitates discriminatory analytical approaches to evaluate its population structure. This study developed a core genome multilocus sequence typing (cgMLST) scheme for H. influenzae using pangenome analysis tools and validated the cgMLST scheme using datasets consisting of complete reference genomes (N = 14) and high-quality draft H. influenzae genomes (N = 2297). The draft genome dataset was divided into a development dataset (N = 921) and a validation dataset (N = 1376). The development dataset was used to identify potential core genes, and the validation dataset was used to refine the final core gene list to ensure the reliability of the proposed cgMLST scheme. Functional classifications were made for all the resulting core genes. Phylogenetic analyses were performed using both allelic profiles and nucleotide sequence alignments of the core genome to test congruence, as assessed by Spearman's correlation and ordinary least square linear regression tests. Preliminary analyses using the development dataset identified 1067 core genes, which were refined to 1037 with the validation dataset. More than 70% of core genes were predicted to encode proteins essential for metabolism or genetic information processing. Phylogenetic and statistical analyses indicated that the core genome allelic profile accurately represented phylogenetic relatedness among the isolates (R 2 = 0.945). We used this cgMLST scheme to define a high-resolution population structure for H. influenzae, which enhances the genomic analysis of this clinically relevant human pathogen.

A mutated algal species of Isochrysis sp. obtained via atmospheric room temperature plasma mutagenesis promoted lipid accumulation through the abscisic acid pathway

Isochrysis sp. is an economically important algae rich in unsaturated fatty acids, but its susceptibility to strain degeneration poses challenges for practical applications. To address this, we used atmospheric room temperature plasma (ARTP) for mutagenesis, creating a stable mutant strain, Yield 8 (Y8), with rapid growth and high lipid content. Transcriptome analysis showed upregulation of genes in genetic information processes and metabolic pathways, with notable upregulation of long-chain fatty acid CoA ligase and acyl-CoA acyltransferase (ACAT), consistent with the trend of fatty acid accumulation. Interestingly, the expression levels of ζ-carotene desaturase (ZDS), zeaxanthin epoxidase (ZEP), and phosphatase 2C (PP2C) were upregulated in the Y8 mutant, indicating activation of the ABA pathway. Further, the increased endogenous ABA levels in Y8, along with a 1.17-fold increase in DHA and a 1.26-fold increase in ω3 fatty acids after exogenous ABA application, suggest that Y8's improved traits are mediated by the ABA pathway. These findings highlight Y8's potential for practical applications and further research.

Interspecific and Intraspecific Transcriptomic Variations Unveil the Potential High-Altitude Adaptation Mechanisms of the Parnassius Butterfly Species.

Parnassius butterflies have significantly advanced our understanding of biogeography, insect-plant interactions, and other fields of ecology and evolutionary biology. However, to date, little is known about the gene expression patterns related to the high-altitude adaptation of Parnassius species. In this study, we obtained high-throughput RNA-seq data of 48 adult Parnassius individuals covering 10 species from 12 localities in China, and deciphered their interspecific and intraspecific expression patterns based on comparative transcriptomic analyses. Though divergent transcriptional patterns among species and populations at different altitudes were found, a series of pathways related to genetic information processing (i.e., recombination, repair, transcription, RNA processing, and ribosome biogenesis), energy metabolism (i.e., oxidative phosphorylation, thermogenesis, and the citrate cycle), and cellular homeostasis were commonly enriched, reflecting similar strategies to cope with the high-altitude environments by activating energy metabolism, enhancing immune defense, and concurrently inhibiting cell growth and development. These findings deepen our understanding about the molecular mechanisms of adaptative evolution to extreme environments, and provide us with some theoretical criteria for the biodiversity conservation of alpine insects.

Fe(III)-mediated changes in microalgae-associated bacterial communities and dissolved organic matter characteristics: A case study for Chlorococcum sp. GD

Trivalent iron ions (Fe(III)) have important effects on aquatic ecosystems, especially on the functional diversity and stability of microorganisms and ecosystems. Here, a cultivable microalgae (Chlorococcum sp. GD) from the natural environment (Shanxi, China) were isolated and identified. A combined high-throughput 16S rRNA gene amplicon sequencing/excitation-emission matrix coupled with parallel factor (EEM-PARAFAC) analysis was used to integrated the results of Fe(III) influence on Chlorococcum sp. GD bacterial community and dissolved organic matter (DOM) characteristics through laboratory experiments. Due to the addition of Fe(III) in the form of ferric nitrate (Fe(NO3)3·9H2O), complexed with EDTA to maintain solubility and bioavailability, the bacterial community was altered. This led to a decrease in the relative abundance of Proteobacteria and Actinobacteria and an increase in the relative abundance of Cyanobacteria, especially under excessive Fe(III) treatment. In addition, the relative contribution of bacterial community dispersal limitation and homogenizing dispersal was 100 %, which may lead to differences in their local adaptation and ecological processes with homogenization of bacterial diversity and loss of function. Excessive Fe(III) caused a significant increase in the abundance of genes involved in the carbon cycle (p < 0.01) and a significant decrease in genes involved in the nitrogen cycle (p < 0.01), further affecting the overall regulatory network of gene expression. This led to an increase in the abundance of genes involved in metabolism, cellular processes, environmental information processing, genetic information processing, and human diseases. The moderate amount of Fe(III) promoted the production of microbial components and accelerated the degree of DOM humification. It is also worth mentioning that excessive Fe(III) inhibited DOM degradation. Overall, this work explored the characteristics of bacterial community and DOM changes in Fe(III)-stressed Chlorococcum sp. GD as an example, which contributes to an in-depth understanding of microbial community diversity and element cycling in aquatic ecosystems.

New insight into Na+-promoted microbial electrolysis cell towards hydrogen energy recovery: Feasibility and dual mechanism in salt-containing wastewater treatment

The salt-containing wastewater treatment has become serious challenge, while conductivity and micro-ecosystem disorder severely limited microbial electrolysis cell (MEC) efficiency. In order to synchronously overcome the above bottlenecks, this study proposed an innovative Na+-promoted MEC system for efficient salt-containing wastewater treatment. The Na+ presence greatly improved conductivity to impair electric resistance, resulting in rapid electron transfer pattern towards organic degradation in anode and hydrogen synthesis in cathode. Furthermore, the selective Na+ stress triggered microbial community evolution and improved electroactive bacteria activity after salinity cultivation in MEC (0.09–0.17 mol Na+/L), which played “bacteria screening” role for salt-tolerant “electrochemical hydrogen-producing” bacteria community formation. The organic-degrading and hydrogen-producing bacteria with their assistors were tolerant to Na+ stress, which were considerably enriched into dominant microorganisms, while the unfavorable bacteria responsible for hydrogen consumption and competition were inhibited due to salinity-sensitivity. Correspondingly, the metabolic pathways for metabolism, genetic information processing and environmental information processing were improved, positively associating with organic degradation and hydrogen production. Such dual driving contributions of Na+-improved electron transfer-utilization pattern and Na+-modified microbial metabolisms boosted the organic pollutant degradation at anode to 91.34 % while improving the performance and speeds of hydrogen production by 1.57–1.70 times. The hydrogen abundance was also increased to 71.57 % in biogas. The energy efficiencies relative to external electricity and substrates were elevated by 8.80–28.44 %, the coulombic efficiency raised by 14.05 % and reached 109.72 %, suggesting the positive net energy benefits. The findings provided inspirations to the feasible application of MEC in salt-containing wastewater treatment with efficiency benefits.

Gestational exposure to environmental chemicals and epigenetic alterations in the placenta and cord blood mononuclear cells

BackgroundExposure to environmental chemicals such as phthalates, phenols, and polycyclic aromatic hydrocarbons (PAHs) during pregnancy can increase the risk of adverse newborn outcomes. We explored the associations between maternal exposure to select environmental chemicals and DNA methylation in cord blood mononuclear cells (CBMC) and placental tissue (maternal and fetal sides) to identify potential mechanisms underlying these associations.MethodThis study included 75 pregnant individuals who planned to give birth at the University of Cincinnati Hospital between 2014 and 2017. Maternal urine samples during the delivery visit were collected and analyzed for 37 biomarkers of phenols (12), phthalates (13), phthalate replacements (4), and PAHs (8). Cord blood and placenta tissue (maternal and fetal sides) were also collected to measure the DNA methylation intensities using the Infinium HumanMethylation450K BeadChip. We used linear regression, adjusting for potential confounders, to assess CpG-specific methylation changes in CBMC (n = 54) and placenta [fetal (n = 67) and maternal (n = 68) sides] associated with gestational chemical exposures (29 of 37 biomarkers measured in this study). To account for multiple testing, we used a false discovery rate q-values < 0.05 and presented results by limiting results with a genomic inflation factor of 1±0.5. Additionally, gene set enrichment analysis was conducted using the Kyoto Encyclopedia of Genes and Genomics pathways.ResultsAmong the 29 chemical biomarkers assessed for differential methylation, maternal concentrations of PAH metabolites (1-hydroxynaphthalene, 2-hydroxyfluorene, 4-hydroxyphenanthrene, 1-hydroxypyrene), monocarboxyisononyl phthalate, mono-3-carboxypropyl phthalate, and bisphenol A were associated with altered methylation in placenta (maternal or fetal side). Among exposure biomarkers associated with epigenetic changes, 1-hydroxynaphthalene, and mono-3-carboxypropyl phthalate were consistently associated with differential CpG methylation in the placenta. Gene enrichment analysis indicated that maternal 1-hydroxynaphthalene was associated with lipid metabolism and cellular processes of the placenta. Additionally, mono-3-carboxypropyl phthalate was associated with organismal systems and genetic information processing of the placenta.ConclusionAmong the 29 chemical biomarkers assessed during delivery, 1-hydroxynaphthalene and mono-3-carboxypropyl phthalate were associated with DNA methylation in the placenta.

DeTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets.

Errors in the processing of genetic information during protein synthesis can lead to phenotypic mutations, such as amino acid substitutions, e.g. by transcription or translation errors. While genetic mutations can be readily identified using DNA sequencing, and mutations due to transcription errors by RNA sequencing, translation errors can only be identified proteome-wide using mass spectrometry. Here, we provide a Python package implementation of a high-throughput pipeline to detect amino acid substitutions in mass spectrometry datasets. Our tools enable users to process hundreds of mass spectrometry datasets in batch mode to detect amino acid substitutions and calculate codon-specific and site-specific translation error rates. deTELpy will facilitate the systematic understanding of amino acid misincorporation rates (translation error rates), and the inference of error models across organisms and under stress conditions, such as drug treatment or disease conditions. deTELpy is implemented in Python 3 and is freely available with detailed documentation and practical examples at https://git.mpi-cbg.de/tothpetroczylab/detelpy and https://pypi.org/project/deTELpy/ and can be easily installed via pip install deTELpy.

Mutation in the Bombyx mori BmGMC2 gene impacts silk production and silk protein synthesis

Silk is a natural protein fiber that is predominantly comprised of fibroin and sericin. In addition, it contains seroins, protease inhibitors, enzymes, and other proteins. We found an ecdysone oxidase BmGMC2, notably, which is specifically and highly expressed only in the silk glands of silkworms (Bombyx mori L.). It is also one of the main components of non-cocoon silk, however, its precise function remains unclear. In this study, we examined the spatiotemporal expression pattern of this protein and obtained a homozygous mutant strain (K-GMC2) using the CRISPR-Cas9 system. Compared to the wild-type strain (WT), the silk production and main silk proteins significantly decreased in the larval stage, and the adhesive strength of native silk proteins decreased in the final instar. Proteomic data indicated the abundance of ribosomal proteins decreased significantly in K-GMC2, differentially expressed proteins (DEPs) were enriched in pathways related to neurodegenerative diseases and genetic information processing, indicating that knockout may lead to a certain degree of cell stress, affecting the synthesis of silk proteins. This study investigated the expression pattern and gene function of ecdysone oxidase BmGMC2 in silk and silk glands, laying the groundwork for understanding the role of enzymes in the production of silk fibers.

Integrated Analysis of Microbiome and Metabolome Reveals Disease-Specific Profiles in Inflammatory Bowel Diseases and Intestinal Behçet's Disease.

The gut microbial and metabolic characteristics of intestinal Behçet's disease (BD), a condition sharing many clinical similarities with ulcerative colitis (UC) and Crohn's disease (CD), are largely unexplored. This study investigated the gut microbial and metabolic characteristics of intestinal BD as well as potential biomarkers, comparing them with those in UC, CD, and healthy controls. Colon tissue and stool samples from 100 patients (35 UC, 30 CD, and 35 intestinal BD) and 41 healthy volunteers were analyzed using 16S ribosomal RNA sequencing to assess microbial diversity, taxonomic composition, and functional profiling. Plasma metabolomic analyses were performed using gas chromatography and ultra-performance liquid chromatography-mass spectrometry. Results indicated reduced microbial diversity in CD but not in intestinal BD, with intestinal BD showing fewer changes compared to controls yet distinct taxonomic features from UC, CD, and controls. Common alterations across all diseases included a reduction in beneficial bacteria producing short-chain fatty acids. Intestinal BD-specific changes featured a decreased abundance of Bacteroides fragilis. Metabolomic profiles in intestinal BD were similar to those in CD but distinct from those in UC, displaying significant changes in energy metabolism and genetic information processing. This integrative analysis revealed both shared and unique profiles in intestinal BD compared with UC, CD, and controls, advancing our understanding of the distinctive features of these diseases.

Essential roles of Rad6 in conidial property, stress tolerance, and pathogenicity of Beauveria bassiana

ABSTRACT Rad6 functions as a ubiquitin-conjugating protein that regulates cellular processes in many fungal species. However, its role in filamentous entomopathogenic fungi remains poorly understood. This study characterizes Rad6 in Beauveria bassiana, a filamentous fungus widely employed as a critical fungicide globally. The results demonstrate a significant association between Rad6 and conidial properties, heat shock response, and UV-B tolerance. Concurrently, the mutant strain exhibited heightened sensitivity to oxidative stress, cell wall interfering agents, DNA damage stress, and prolonged heat shock. Furthermore, the absence of Rad6 significantly extended the median lethal time (LT50) of Galleria mellonella infected by B. bassiana. This delay could be attributed to reduced Pr1 proteases and extracellular cuticle-degrading enzymes, diminished dimorphic transition rates, and dysregulated antioxidant enzymes. Additionally, the absence of Rad6 had a more pronounced effect on genetic information processing, metabolism, and cellular processes under normal conditions. However, its impact was limited to metabolism in oxidative stress. This study offers a comprehensive understanding of the pivotal roles of Rad6 in conidial and hyphal stress tolerance, environmental adaptation, and the pathogenesis of Beauveria bassiana.

Diversity and functional annotation of bacteria community associated with the epithelial surface of Hippocampus kuda (yellow seahorse) and its surrounding environment

Abstract. Maguate NJIFS, Tabugo SRM. 2024. Diversity and functional annotation of bacteria community associated with the epithelial surface of Hippocampus kuda (yellow seahorse) and its surrounding environment. Biodiversitas 25: 2230-2240. Hippocampus kuda, commonly known as the yellow seahorse, hosts various microorganisms crucial for its well-being and interactions within its ecosystem. This research aimed to analyze and understand the bacterial community associated with H. kuda by employing V3-V4 16S rRNA gene amplicon sequencing on the Illumina MiSeq platform. Four distinct libraries were constructed, representing the epithelial surfaces of both male and female seahorses and samples from water and soil/sediment habitats. Following rigorous quality control and processing, 187,972 Amplicon Sequence Variants (ASVs) were identified. The predominant ASVs were attributed to genera such as Vibrio, Roseobacter, Photobacterium, Ruegeria, Candidatus, Pseudoalteromonas, Synechococcus, Flavobacterium, and Altererythrobacter, along with some unidentified genera belonging to the Proteobacteria phylum. As indicated by the Shannon index, alpha diversity analysis demonstrated the highest bacterial diversity on the epithelial surface of male seahorses (MS), with a value of 3.2363. Moreover, the functional annotation of bacterial community was conducted using the PICRUSt algorithm within the Parallel-Meta Suite (PMS) software. This analysis uncovered various functional categories, such as metabolism, genetic information processing, and cellular processing. Overall, the findings underscore the role of the microbiome on the skin and surrounding environment in influencing the growth and health of H. kuda seahorses. Notably, this study represents the first documentation of the bacterial community inhabiting the epithelial surface of H. kuda, shedding light on its significance in the ecology of these marine organisms.

The contest between artificial management and natural environment determines the adaptive strategies of leaf morphogenesis in Sabina chinensis.

Sabina chinensis is a typically heteromorphic leaf evergreen tree worldwide with both ornamental and ecological value. However, the shaping mechanism of heteromorphic leaves of S. chinensis and its adaptability to environment are important factors determining its morphology. The morphological change of S. chinensis under different habitats (tree around) and treatments (light, pruning and nutrients) was investigated. Our findings suggested that the prickle leaves proportion was associated with low light intensity and soil nutrient scarcity. Stems and leaves are pruned together to form clusters of large prickle leaves, while only pruning leaves often form alternately growing small prickle leaves and scale leaves, and the length of the prickle leaves is between 0.5 cm and 1 cm. The gene expression of prickle leaves is higher than that of scale leaves under adverse environmental conditions, and the gene expression correlations between small prickle leaf and scale leaf were the highest. Homologous and heterologous mutants of gene structure in prickle leaves were larger than those in scale leaves. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway showed that phenylpropanone and flavonoid biosynthesis were common enrichment pathways, and that the enrichment genes were mainly related to metabolism, genetic information processing and organismal systems. Therefore, we concluded that the occurrence of the heteromorphic leaf phenomenon was related to the changes in photosynthesis, mechanical damage and nutrient supplementation. The organic matter in the S. chinensis prickle leaves was reduced under environmental stresses, and it will be allocated to the expression of prickle leaf or protective cuticles formation.

Oral microbiome sequencing revealed the enrichment of Fusobacterium sp., Porphyromonas sp., Campylobacter sp., and Neisseria sp. on the oral malignant fibroma surface of giant panda.

Microbial community composition is closely associated with host disease onset and progression, underscoring the importance of understanding host-microbiota dynamics in various health contexts. In this study, we utilized full-length 16S rRNA gene sequencing to conduct species-level identification of the microorganisms in the oral cavity of a giant panda (Ailuropoda melanoleuca) with oral malignant fibroma. We observed a significant difference between the microbial community of the tumor side and non-tumor side of the oral cavity of the giant panda, with the latter exhibiting higher microbial diversity. The tumor side was dominated by specific microorganisms, such as Fusobacterium simiae, Porphyromonas sp. feline oral taxon 110, Campylobacter sp. feline oral taxon 100, and Neisseria sp. feline oral taxon 078, that have been reported to be associated with tumorigenic processes and periodontal diseases in other organisms. According to the linear discriminant analysis effect size analysis, more than 9 distinct biomarkers were obtained between the tumor side and non-tumor side samples. Furthermore, the Kyoto Encyclopedia of Genes and Genomes analysis revealed that the oral microbiota of the giant panda was significantly associated with genetic information processing and metabolism, particularly cofactor and vitamin, amino acid, and carbohydrate metabolism. Furthermore, a significant bacterial invasion of epithelial cells was predicted in the tumor side. This study provides crucial insights into the association between oral microbiota and oral tumors in giant pandas and offers potential biomarkers that may guide future health assessments and preventive strategies for captive and aging giant pandas.

Inclusion of Lonicerae flos improved anaerobic fermentation and antioxidant activity of mixed silage (agro-residue and alfalfa)

Lonicerae flos (SY) is rich in active components including chlorogenic acid, flavonoids, phenols and terpenoids, with antioxidant and antibacterial activities. The present study was designed to evaluate the application potential of SY in silages. Various concentrations of SY (0, 5, 10, 15, 20, and 25 g/kg of fresh weight [FW]) were added to a mixture of alfalfa, distillers dried grains with solubles (DDGS) and soybean meal (80/10/10). All mixtures were ensiled for 30 d in laboratory silos, the experiment followed a completely randomized design, and six treatments were designed according to SY levels, with 5 replicates per treatment. Data were subjected to one-way analysis of variance and polynomial contrasts (SPSS 23.0) to examine effects of varying concentrations of SY. Adding SY enriched relative abundance of Lactobacillus acetotolerans, increased dry matter (DM), water soluble carbohydrate (WSC), chlorogenic acid, total phenolics content, and ferric reducing antioxidant power (FRAP) reducing power, and reduced pH, ammonia nitrogen (AN) and structural carbohydrates (NDF, ADF, and hemicellulose) contents. L. acetotolerans was positively correlated with WSC, DM, chlorogenic acid, total phenolics, FRAP, and 2,2-azinobis-3-ethylbenzothiazoline-6-sulfonic acid diammonium salt radical cation (ABTS) concentrations, while negatively correlated with pH, AN and structural carbohydrates contents. Base on the predicted pathways and phenotype of the bacterial community, the addition of SY promoted the genetic information processing (translation, replication and repair, transcription), and inhibited the abundances of potentially pathogenic, stress tolerant and gram negative. Silages with SY at 20 g/kg FW (SY4) or 25 g/kg FW (SY5) had lower pH, contents of AN and structural carbohydrates than other silages. The chlorogenic acid and total phenolics content in SY3 and SY4 were higher than other silages, while FRAP reducing power and ABTS scavenging activity in SY3 (15 g/kg FW) and SY4 silage was highest, respectively. Overall, the inclusion of SY at 20 g/kg FW decreased pH and AN content, more chlorogenic acid, increased the relative abundance of L. acetotolerans and antioxidant activity, with the potential to serve as a feed additive.

Papillary Thyroid Cancer Remodels the Genetic Information Processing Pathways.

The genetic causes of the differentiated, highly treatable, and mostly non-fatal papillary thyroid cancer (PTC) are not yet fully understood. The mostly accepted PTC etiology blames the altered sequence or/and expression level of certain biomarker genes. However, tumor heterogeneity and the patient's unique set of favoring factors question the fit-for-all gene biomarkers. Publicly accessible gene expression profiles of the cancer nodule and the surrounding normal tissue from a surgically removed PTC tumor were re-analyzed to determine the cancer-induced alterations of the genomic fabrics responsible for major functional pathways. Tumor data were compared with those of standard papillary and anaplastic thyroid cancer cell lines. We found that PTC regulated numerous genes associated with DNA replication, repair, and transcription. Results further indicated that changes of the gene networking in functional pathways and the homeostatic control of transcript abundances also had major contributions to the PTC phenotype occurrence. The purpose to proliferate and invade the entire gland may explain the substantial transcriptomic differences we detected between the cells of the cancer nodule and those spread in homo-cellular cultures (where they need only to survive). In conclusion, the PTC etiology should include the complex molecular mechanisms involved in the remodeling of the genetic information processing pathways.