Genome Wide Analysis for Rapid Identification of Vibrio Species

Testing a health baseline during a bivalve mollusc mortality event: An investigation into die-offs of pipi Paphies australis from Aotearoa New Zealand

Disease is a major threat to the economic, ecological and cultural services provided by wild bivalve populations. Over the past decade anecdotal reports on declining health of native bivalve populations around Aotearoa New Zealand have been supported by increasing observations of mass die-offs. Causes of declining health and mass die-offs of wild bivalves are not clear and could be due to a number of interactive and cumulative factors, including declining water quality, climate change, or disease. Pipi/kōkota (Paphies australis) within the Whangārei area (northern New Zealand) have suffered repeated die-offs and declining health since at least 2009. Baseline health data for wild native bivalve populations are scarce making it difficult to identify changes in pathogen infection prevalence and intensity and infer their importance to host health. This research aimed to examine and document the health of pipi in Whangārei with the objective of identifying factors that may contribute to their ill health and lack of population recovery. We sampled pipi from four sites within Whangārei, eight times across two years (total n = 640) to establish a health baseline using histopathology, general bacteriology, and qPCR for the intracellular bacteria Endozoicomonas spp. Three pipi mass die-offs occurred during the sampling window that were opportunistically sampled to compare against the health baseline established using healthy pipi. An increase in bacterial growth and a decrease in the abundance of Endozoicomonas spp. in mortality pipi was observed compared with the health baseline. Establishing a health baseline for pipi from Whangārei provided a benchmark to assess changes in a pipi population experiencing high mortality. Such data can help identify factors contributing to die-offs and to help inform what mitigation, if any, is possible in wild shellfish populations.

LC-qTOF-MS analysis of fish immune organs reveals the distribution of amino acids in response to metabolic adaptation of the survival phenotype in grouper against Vibrio infection

Epinephelus fuscoguttatus is economically crucial to various Southeast Asia countries where they are reared in fish farms to meet the demand for supply. However, a systemic infectious disease known as vibriosis has steadily and extensively affected the fish farming industry. The disease is caused by Vibrio spp., which are pathogenic gram-negative bacteria. This study focused on understanding the host's metabolic adaptation against Vibrio vulnificus infection, which features a survival phenotype, by profiling the metabolites in grouper fingerlings that survived the experimental infection. Mapping of the pathways is crucial to explain the roles of metabolites in fish immunity. A solvent extraction method was used on the grouper's immune organs (gills, liver and spleen) prior to Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry (LC-qTOF-MS) analysis. The metabolites identified in fingerlings that survived experimental infections were mostly amino acids (primary metabolites). Glutamine (0.44%), alanine (0.68%), phenylalanine (2.63%) and tyrosine (2.60%) were highly abundant in survived-infected gills. Aspartic acid (13.57%) and leucine (4.01%) were highly abundant in the livers of the survived-infected fish and lysine was highly abundant in both gills (2.94%) and liver (3.64%) of the survived-infected fish. Subsequent bioinformatics analysis revealed the involvement of the identified functional amino acids in various immune-related pathways. The current findings facilitate the comprehension of the metabolic adaptation of grouper fingerlings that exhibited a survival phenotype against Vibrio infection.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-022-03269-1.

Omics Strategies in Current Advancements of Infectious Fish Disease Management

Aquaculture is an important industry globally as it remains one of the significant alternatives of animal protein source supplies for humankind. Yet, the progression of this industry is being dampened by the increasing rate of fish mortality, mainly the outbreak of infectious diseases. Consequently, the regress in aquaculture ultimately results in the economy of multiple countries being affected due to the decline of product yields and marketability. By 2025, aquaculture is expected to contribute approximately 57% of fish consumption worldwide. Without a strategic approach to curb infectious diseases, the increasing demands of the aquaculture industry may not be sustainable and hence contributing to the over-fishing of wild fish. Recently, a new holistic approach that utilizes multi-omics platforms including transcriptomics, proteomics, and metabolomics is unraveling the intricate molecular mechanisms of host-pathogen interaction. This approach aims to provide a better understanding of how to improve the resistance of host species. However, no comprehensive review has been published on multi-omics strategies in deciphering fish disease etiology and molecular regulation. Most publications have only covered particular omics and no constructive reviews on various omics findings across fish species, particularly on their immune systems, have been described elsewhere. Our previous publication reviewed the integration of omics application for understanding the mechanism of fish immune response due to microbial infection. Hence, this review provides a thorough compilation of current advancements in omics strategies for fish disease management in the aquaculture industry. The discovery of biomarkers in various fish diseases and their potential advancement to complement the recent progress in combatting fish disease is also discussed in this review.

Genomic insights into the phylogeny of Bacillus strains and elucidation of their secondary metabolic potential

The genus Bacillus constitutes a plethora of species that have medical, environmental, and industrial applications. While genus Bacillus has been the focus of several studies where genomic data have been used to resolve many taxonomic issues, there still exist several ambiguities. Through the use of in-silico genome-based methods, we tried to resolve the taxonomic anomalies of a large set of Bacillus genomes (n = 178). We also proposed species names for uncharacterized strains and reported genome sequence of a novel isolate Bacillus sp. RL. In the hierarchical clustering on genome-to-genome distances, we observed 11 distinct monophyletic clusters and investigated the functional pathways annotated as the property of these clusters and core-gene content of the entire dataset. Thus, we were able to assert the possible outlier strains (n = 17) for this genus. Analyses of secondary metabolite potential of each strain helped us unravel still unexplored diversity for various biosynthetic genes.

Aligning Microbial Biodiversity for Valorization of Biowastes: Conception to Perception

Generation of biowastes is increasing rapidly and its uncontrolled, slow and persistent fermentation leads to the release of Green-house gases (GHGs) into the environment. Exploration and exploitation of microbial diversity for degrading biowastes can result in producing diverse range of bioactive molecules, which can act as a source of bioenergy, biopolymers, nutraceuticals and antimicrobials. The whole process is envisaged to manage biowastes, and reduce their pollution causing capacity, and lead to a sustainable society. A strategy has been proposed for: (1) producing bioactive molecules, and (2) achieving a zero-pollution emission by recycling of the GHGs through biological routes.

Control of Multidrug-Resistant Gene Flow in the Environment Through Bacteriophage Intervention

The spread of multidrug-resistant (MDR) bacteria is an emerging threat to the environment and public wellness. Inappropriate use and indiscriminate release of antibiotics in the environment through un-metabolized form create a scenario for the emergence of virulent pathogens and MDR bugs in the surroundings. Mechanisms underlying the spread of resistance include horizontal and vertical gene transfers causing the transmittance of MDR genes packed in different host, which pass across different food webs. Several controlling agents have been used for combating pathogens; however, the use of lytic bacteriophages proves to be one of the most eco-friendly due to their specificity, killing only target bacteria without damaging the indigenous beneficial flora of the habitat. Phages are part of the natural microflora present in different environmental niches and are remarkably stable in the environment. Diverse range of phage products, such as phage enzymes, phage peptides having antimicrobial properties, and phage cocktails also have been used to eradicate pathogens along with whole phages. Recently, the ability of phages to control pathogens has extended from the different areas of medicine, agriculture, aquaculture, food industry, and into the environment. To avoid the arrival of pre-antibiotic epoch, phage intervention proves to be a potential option to eradicate harmful pathogens generated by the MDR gene flow which are uneasy to cure by conventional treatments.

Gene Specific Impedimetric Bacterial DNA Sensor for Rheumatic Heart Disease

An impedimetric mga gene specific DNA sensor was developed by immobilization of single stranded DNA probe onto the screen printed modified gold-dendrimer nanohybrid composite electrode for early and rapid detection of S. pyogenes in human throat swab samples causing rheumatic heart disease. Electrochemical impedance response was measured after hybridization with bacterial single stranded genomic DNA (ssG-DNA) with probe. The sensor was found highly specific to S. pyogenes and can detect as low as 0.01 ng ssDNA in 6 µL sample only in 30 min. The nanohybrid sensor was also tested with non-specific pathogens and characterized by FTIR. An early detection of the pathogen S. pyogenes in human can save damage of mitral and aortic heart valves (rheumatic heart disease) by proper medical care.

An In Silico Approach for Identification of the Pathogenic Species, Helicobacter pylori and Its Relatives

Helicobacter is an economically important genus within the phylum Proteobacteria and include many species which cause many diseases in humans. With the conventional methods, it is difficult to identify them easily due to the high genetic similarity among its species. In the present study, 361 16S rRNA (rrs) gene sequences belonging to 45 species of genus Helicobacter were analyzed. Out of these, 264 sequences of 10 clinically relevant species (including Helicobacter pylori) were used. rrs gene sequences were analyzed to obtain a phylogenetic framework tree, in silico restriction enzyme analysis and species-specific conserved motifs. Protein sequences of another housekeeping gene, hsp60 were also subjected to phylogenetic analysis to supplement the data obtained using rrs sequences. Using these approaches, six out of ten species (including H. pylori) were easily segregated, whereas four species namely H. bilis, H. cinaedi, H. felis and Candidatus H. heilmannii were found to be heterogeneous. The above approaches have also helped in segregating unclassified sequences, thus proving them as an easy diagnostic method for identifying members of genus Helicobacter up to species level.

Comparison of DOT-ELISA and Standard-ELISA for Detection of the Vibrio cholerae Toxin in Culture Supernatants of Bacteria Isolated from Human and Environmental Samples

A comparison of DOT-ELISA and Standard-ELISA was made for detection of Vibrio cholerae toxin in culture supernatants of bacteria isolated from human and environmental samples. A total of 293 supernatants were tested in a double blind assay. A correlation of 100 % was obtained between both techniques. The cholera toxin was found in 20 Inaba and 3 Ogawa strains. Positive samples were from seafood (17 samples), potable water (1 sample) and sewage (5 samples). The DOT-ELISA was useful as the standard-ELISA to confirm the presence of cholera toxin in the environmental samples.

Comparative Genomics Reveals Biomarkers to Identify Lactobacillus Species

Bacteria possessing multiple copies of 16S rRNA (rrs) gene demonstrate high intragenomic heterogeneity. It hinders clear distinction at species level and even leads to overestimation of the bacterial diversity. Fifty completely sequenced genomes belonging to 19 species of Lactobacillus species were found to possess 4-9 copies of rrs each. Multiple sequence alignment of 268 rrs genes from all the 19 species could be classified into 20 groups. Lactobacillus sanfranciscensis TMW 1.1304 was the only species where all the 7 copies of rrs were exactly similar and thus formed a distinct group. In order to circumvent the problem of high heterogeneity arising due to multiple copies of rrs, 19 additional genes (732-3645 nucleotides in size) common to Lactobacillus genomes, were selected and digested with 10 Type II restriction endonucleases (RE), under in silico conditions. The following unique gene-RE combinations: recA (1098 nts)-HpyCH4 V, CviAII, BfuCI and RsaI were found to be useful in identifying 29 strains representing 17 species. Digestion patterns of genes-ruvB (1020 nts), dnaA (1368 nts), purA (1290 nts), dnaJ (1140 nts), and gyrB (1944 nts) in combination with REs-AluI, BfuCI, CviAI, Taq1, and Tru9I allowed clear identification of an additional 14 strains belonging to 8 species. Digestion pattern of genes recA, ruvB, dnaA, purA, dnaJ and gyrB can be used as biomarkers for identifying different species of Lactobacillus.

Searching Biomarkers in the Sequenced Genomes of Staphylococcus for their Rapid Identification

Bacterial identification using rrs (16S rRNA) gene is widely reported. Bacteria possessing multiple copies of rrs lead to overestimation of its diversity. Staphylococcus genomes carries 5-6 copies of rrs showing high similarity in their nucleotide sequences, which lead to ambiguous results. The genomes of 31 strains of Staphylococcus representing 7 species were searched for the presence of common genes. In silico digestion of 34 common genes using 10 restriction endonucleases (REs) lead to select gene-RE combinations, which could be used as biomarkers. RE digestion of recA allowed unambiguous identification of 13 genomes representing all the 7 species. In addition, a few more genes (argH, argR, cysS, gyrB, purH, and pyrE) and RE combinations permitted further identification of 12 strains. By employing additional RE and genes unique to a particular strain, it was possible to identify the rest 6 Staphylococcus aureus strains. This approach has the potential to be utilized for rapid detection of Staphylococcus strains.

A Genome-Wide Profiling Strategy as an Aid for Searching Unique Identification Biomarkers for Streptococcus

The use of rrs (16S rRNA) gene is widely regarded as the "gold standard" for identifying bacteria and determining their phylogenetic relationships. Nevertheless, multiple copies of this gene in a genome is likely to give an overestimation of the bacterial diversity. In each of the 50 Streptococcus genomes (16 species, 50 strains), 4-7 copies of rrs are present. The nucleotide sequences of these rrs genes show high similarity within and among genomes, which did not allow unambiguous identification. A genome-wide search revealed the presence of 27 gene sequences common to all the Streptococcus species. Digestion of these 27 gene sequences with 10 type II restriction endonucleases (REs) showed that unique RE digestion in purH gene is sufficient for clear cut identification of 30 genomes belonging to 16 species. Additional gene-RE combinations allowed identification of another 15 strains belonging to S. pneumoniae, S. pyogenes, and S. suis. For the rest 5 strains, a combination of 2 genes was required for identifying them. The proposed strategy is likely to prove helpful in proper detection of pathogens like Streptococcus.