Shotgun Sequencing Research Articles

Chloroplast genomes of Caragana tibetica and Caragana turkestanica: structures and comparative analysis

BackgroundThe genus Caragana encompasses multiple plant species that possess medicinal and ecological value. However, some species of Caragana are quite similar in morphology, so identifying species in this genus based on their morphological characteristics is considerably complex. In our research, illumina paired-end sequencing was employed to investigate the genetic organization and structure of Caragana tibetica and Caragana turkestanica, including the previously published chloroplast genome sequence of 7 Caragana plants.ResultsThe lengths of C. tibetica and C. turkestanica chloroplast genomes were 128,433 bp and 129,453 bp, respectively. The absence of inverted repeat sequences in these two species categorizes them under the inverted repeat loss clade (IRLC). They encode 110 and 111 genes (4 /4 rRNA genes, 30 /31tRNA genes, and 76 /76 protein-coding genes), respectively. Comparison of the chloroplast genomes of C. tibetica and C. turkestanica with 7 other Caragana species revealed a high overall sequence similarity. However, some divergence was observed between certain intergenic regions (matK-rbcL, psbD-psbM, atpA-psbI, and etc.). Nucleotide diversity (π) analysis revealed the detection of five highly likely variable regions, namely rps2-atpI, accD-psaI-ycf4, cemA-petA, psbN-psbH and rpoA-rps11. Phylogenetic analysis revealed that C. tibetica’s sister species is Caragana jubata, whereas C. turkestanica’s closest relative is Caragana arborescens.ConclusionsThe present study provides worthwhile information about the chloroplast genomes of C. tibetica and C. turkestanica, which aids in the identification and classification of Caragana species.

Comparative characterization of the infant gut microbiome and their maternal lineage by a multi-omics approach

The human gut microbiome establishes and matures during infancy, and dysregulation at this stage may lead to pathologies later in life. We conducted a multi-omics study comprising three generations of family members to investigate the early development of the gut microbiota. Fecal samples from 200 individuals, including infants (0-12 months old; 55% females, 45% males) and their respective mothers and grandmothers, were analyzed using two independent metabolomics platforms and metagenomics. For metabolomics, gas chromatography and capillary electrophoresis coupled to mass spectrometry were applied. For metagenomics, both 16S rRNA gene and shotgun sequencing were performed. Here we show that infants greatly vary from their elders in fecal microbiota populations, function, and metabolome. Infants have a less diverse microbiota than adults and present differences in several metabolite classes, such as short- and branched-chain fatty acids, which are associated with shifts in bacterial populations. These findings provide innovative biochemical insights into the shaping of the gut microbiome within the same generational line that could be beneficial in improving childhood health outcomes.

Characterization of the Small Bowel Microbiome Reveals Different Profiles in Human Subjects Who Are Overweight or Have Obesity.

Gut microbiome changes are linked to obesity, but findings are based on stool data. In this article, we analyzed the duodenal microbiome and serum biomarkers in subjects with normal weight, overweight, and obesity. Duodenal aspirates and serum samples were obtained from subjects undergoing standard-of-care esophagogastroduodenoscopy without colon preparation. Aspirate DNAs were analyzed by 16S rRNA and shotgun sequencing. Predicted microbial metabolic functions and serum levels of metabolic and inflammatory biomarkers were also assessed. Subjects with normal weight (N = 105), overweight (N = 67), and obesity (N = 42) were identified. Overweight-specific duodenal microbial features include lower relative abundance (RA) of Bifidobacterium species and Escherichia coli strain K-12 and higher Lactobacillus intestinalis , L. johnsonii , and Prevotella loescheii RA. Obesity-specific features include higher Lactobacillus gasseri RA and lower L. reuteri (subspecies rodentium ), Alloprevotella rava , and Leptotrichia spp RA. Escalation features (progressive changes from normal weight through obesity) include decreasing Bacteroides pyogenes , Staphylococcus hominis , and unknown Faecalibacterium species RA, increasing RA of unknown Lactobacillus and Mycobacterium species, and decreasing microbial potential for biogenic amines metabolism. De-escalation features (direction of change altered in normal to overweight and overweight to obesity) include Lactobacillus acidophilus , L. hominis , L. iners , and Bifidobacterium dentium . An unknown Lactobacillus species is associated with type IIa dyslipidemia and overweight, whereas Alloprevotella rava is associated with type IIb and IV dyslipidemias. Direct analysis of the duodenal microbiome has identified key genera associated with overweight and obesity, including some previously identified in stool, e.g., Bifidobacterium and Lactobacillus . Specific species and strains exhibit differing associations with overweight and obesity, including escalation and de-escalation features that may represent targets for future study and therapeutics.

Comparison of qPCR and metagenomic sequencing methods for quantifying antibiotic resistance genes in wastewater.

Surveillance methods of circulating antibiotic resistance genes (ARGs) are of utmost importance in order to tackle what has been described as one of the greatest threats to humanity in the 21st century. In order to be effective, these methods have to be accurate, quickly deployable, and scalable. In this study, we compare metagenomic shotgun sequencing (TruSeq DNA sequencing) of wastewater samples with a state-of-the-art PCR-based method (Resistomap HT-qPCR) on four wastewater samples that were taken from hospital, industrial, urban and rural areas. ARGs that confer resistance to 11 antibiotic classes have been identified in these wastewater samples using both methods, with the most abundant observed classes of ARGs conferring resistance to aminoglycoside, multidrug-resistance (MDR), macrolide-lincosamide-streptogramin B (MLSB), tetracycline and beta-lactams. In comparing the methods, we observed a strong correlation of relative abundance of ARGs obtained by the two tested methods for the majority of antibiotic classes. Finally, we investigated the source of discrepancies in the results obtained by the two methods. This analysis revealed that false negatives were more likely to occur in qPCR due to mutated primer target sites, whereas ARGs with incomplete or low coverage were not detected by the sequencing method due to the parameters set in the bioinformatics pipeline. Indeed, despite the good correlation between the methods, each has its advantages and disadvantages which are also discussed here. By using both methods together, a more robust ARG surveillance program can be established. Overall, the work described here can aid wastewater treatment plants that plan on implementing an ARG surveillance program.

Validation of collection and anaerobic fermentation techniques for measuring prebiotic impact on gut microbiota

BackgroundDefining the ability of prebiotic dietary carbohydrates to influence the composition and metabolism of the gut microbiota is central to defining their health impact in diverse individuals. Many clinical trials are using indirect methods. This study aimed to validate collection and fermentation methods enabling their use in the context of clinical studies. Methods and ResultsParameters tested included stool sample acquisition, storage, and growth conditions. Stool from 3 infants and 3 adults was collected and stored under varying conditions. Samples were cultured anaerobically for two days in the presence of prebiotics, whereupon optical density and pH were measured across time. Whole genome shotgun sequencing and NMR metabolomics were performed. Neither the type of collection vial (standard vial and two different BD anaerobic collection vials) nor cryopreservation (-80 °C or 4 °C) significantly influenced either microbial composition at 16 h of anaerobic culture or the principal components of the metabolome at 8 or 16 h. Metagenomic differences were driven primarily by subject, while metabolomic differences were driven by fermentation sugar (2’-fucosyllactose or dextrose). ConclusionsThese data identified a feasible and valid approach for prebiotic fermentation analysis of individual samples in large clinical studies: collection of stool microbiota using standard vials; cryopreservation prior to testing; and collecting fermentation read-out at 8 and 16 hr. Thus, fermentation analysis can be a valid technique for testing the effects of prebiotics on human fecal microbiota.

Transcriptome analysis of mantle and pearl sac of freshwater pearl mussel Lamellidens marginalis to identify biomineralisation-associated genes

ABSTRACT The freshwater pearl mussel, Lamellidens marginalis, is widely distributed in India and is cultured for freshwater pearl production. Understanding the biomineralisation process sheds light on the genes responsible for nacre secretion. However, information on the transcriptome of L. marginalis mantle tissue and pearl sac is lacking. This study generated transcriptome resources for L. marginalis, identifying genes involved in biomineralisation. Illumina paired-end sequencing yielded 11.13 million raw reads, assembled into 133,246 contigs and 26,373 unigenes. Of these, 21,033 unigenes exhibited homology with previously reported molluscan proteins. Genes related to biomineralisation, such as pif, perlucin, calreticulin, calmodulin, chitin synthase, chitin dehydrogenase, carbonic anhydrase, tyrosinase, shell matrix protein, dermatopontin isoform X1, chitinase 3, chitinase domain-containing protein 1, and putative chitinase-1were identified. This baseline information will help to compare the expression levels between the phenotypes of high-quality and low-quality pearls. Further investigations, incorporating large sample sizes and phenotype information, could assist in identifying type I genetic markers linked to pearl quality.

Reverse-engineered exclusive enteral nutrition in pediatric Crohn's disease: A pilot trial.

In pediatric Crohn's disease (CD), commercial formulas used as exclusive enteral nutrition (EEN) are effective at inducing remission. This study aims to assess the impact of a whole-food blended smoothie as EEN on CD activity and the intestinal microbiome. A 4-week prospective trial assessed the impact of EEN with a whole-food smoothie on newly diagnosed mild-to-moderate active pediatric CD. The smoothie with a multivitamin were developed to meet age-appropriate nutritional requirements. Assessment over 4 weeks included Pediatric Crohn's Disease Activity Index (PCDAI), serum laboratories, fecal calprotectin (FCP), and stool collection for metagenomic shotgun sequencing and microbiota composition analysis. Clinical remission was defined as PCDAI ≤ 10 at week 4. Ten participants were enrolled with median age 14.5 years, and 8 completed the trial. Baseline mean PCDAI was 26.3 ± 9.1 and mean FCP 1149 ± 718 µg/g. At week 4, 80% of participants achieved clinical remission. FCP decreased by over half in 60% of participants, with FCP below 250 µg/g in 60% and below 100 µg/g in 40%. Microbiome analysis showed a significant increase in species richness over 4 weeks (p = 0.01). Compared to baseline, the relative abundance at week 2 and at week 4 was significantly increased for Bifidobacterium and Streptococcus and decreased for Blautia (p < 0.05 for all). A whole-food blended smoothie was effective for inducing clinical remission and decreasing FCP in pediatric CD similar to commercial EEN formulas. Further research may give insight into data-driven whole-food dietary approaches for CD management. gov NCT03508193.

Insights into the Adolescent Cystic Fibrosis Airway Microbiome Using Shotgun Metagenomics.

Cystic fibrosis (CF) is an inherited genetic disorder which manifests primarily in airway disease. Recent advances in molecular technologies have unearthed the diverse polymicrobial nature of the CF airway. Numerous studies have characterised the genus-level composition of this airway community using targeted 16S rDNA sequencing. Here, we employed whole-genome shotgun metagenomics to provide a more comprehensive understanding of the early CF airway microbiome. We collected 48 sputum samples from 11 adolescents and children with CF over a 12-month period and performed shotgun metagenomics on the Illumina NextSeq platform. We carried out functional and taxonomic analysis of the lung microbiome at the species and strain levels. Correlations between microbial diversity measures and independent demographic and clinical variables were performed. Shotgun metagenomics detected a greater diversity of bacteria than culture-based methods. A large proportion of the top 25 most-dominant species were anaerobes. Samples dominated by Staphylococcus aureus and Prevotella melaninogenica had significantly higher microbiome diversity, while no CF pathogen was associated with reduced microbial diversity. There was a diverse resistome present in all samples in this study, with 57.8% agreement between shotgun metagenomics and culture-based methods for detection of resistance. Pathogenic sequence types (STs) of S. aureus, Pseudomonas aeruginosa, Haemophilus influenzae and Stenotrophomonas maltophilia were observed to persist in young CF patients, while STs of S. aureus were both persistent and shared between patients. This study provides new insight into the temporal changes in strain level composition of the microbiome and the landscape of the resistome in young people with CF. Shotgun metagenomics could provide a very useful one-stop assay for detecting pathogens, emergence of resistance and conversion to persistent colonisation in early CF disease.

Ocrelizumab B cell depletion has no effect on HERV RNA expression in PBMC in MS patients

BackgroundEpstein barr virus (EBV) infection of B cells is now understood to be one of the triggering events for the development of Multiple Sclerosis (MS), a progressive immune-mediated disease of the central nervous system. EBV infection is also linked to expression of human endogenous retroviruses (HERVs) of the HERV-W group, a further risk factor for the development of MS. Ocrelizumab is a high-potency disease-modifying treatment (DMT) for MS, which depletes B cells by targeting CD20. ObjectivesWe studied the effects of ocrelizumab on gene expression in peripheral blood mononuclear cells (PBMC) from paired samples from 20 patients taken prior to and 6 months after beginning ocrelizumab therapy. We hypothesised that EBV and HERV-W loads would be lower in post-treatment samples. MethodsSamples were collected in Paxgene tubes, subject to RNA extraction and Illumina paired end short read mRNA sequencing with mapping of sequence reads to the human genome using Salmon and differential gene expression compared with DeSeq2. Mapping was also performed separately to the HERV-D database of HERV sequences and the EBV reference sequence. ResultsPatient samples were more strongly clustered by individual rather than disease type (relapsing/remitting or primary progressive), treatment (pre and post), age, or sex. Fourteen genes, all clearly linked to B cell function were significantly down regulated in the post treatment samples. Interestingly only one pre-treatment sample had detectable EBV RNA and there were no significant differences in HERV expression (of any group) between pre- and post-treatment samples. ConclusionsWhile EBV and HERV expression are clearly linked to triggering MS pathogenesis, it does not appear that high level expression of these viruses is a part of the ongoing disease process or that changes in virus load are associated with ocrelizumab treatment.

Towards a unified medical microbiome ecology of the OMU for metagenomes and the OTU for microbes

BackgroundMetagenomic sequencing technologies offered unprecedented opportunities and also challenges to microbiology and microbial ecology particularly. The technology has revolutionized the studies of microbes and enabled the high-profile human microbiome and earth microbiome projects. The terminology-change from microbes to microbiomes signals that our capability to count and classify microbes (microbiomes) has achieved the same or similar level as we can for the biomes (macrobiomes) of plants and animals (macrobes). While the traditional investigations of macrobiomes have usually been conducted through naturalists’ (Linnaeus & Darwin) naked eyes, and aerial and satellite images (remote-sensing), the large-scale investigations of microbiomes have been made possible by DNA-sequencing-based metagenomic technologies. Two major types of metagenomic sequencing technologies—amplicon sequencing and whole-genome (shotgun sequencing)—respectively generate two contrastingly different categories of metagenomic reads (data)—OTU (operational taxonomic unit) tables representing microorganisms and OMU (operational metagenomic unit), a new term coined in this article to represent various cluster units of metagenomic genes.ResultsThe ecological science of microbiomes based on the OTU representing microbes has been unified with the classic ecology of macrobes (macrobiomes), but the unification based on OMU representing metagenomes has been rather limited. In a previous series of studies, we have demonstrated the applications of several classic ecological theories (diversity, composition, heterogeneity, and biogeography) to the studies of metagenomes. Here I push the envelope for the unification of OTU and OMU again by demonstrating the applications of metacommunity assembly and ecological networks to the metagenomes of human gut microbiomes. Specifically, the neutral theory of biodiversity (Sloan’s near neutral model), Ning et al.stochasticity framework, core-periphery network, high-salience skeleton network, special trio-motif, and positive-to-negative ratio are applied to analyze the OMU tables from whole-genome sequencing technologies, and demonstrated with seven human gut metagenome datasets from the human microbiome project.ConclusionsAll of the ecological theories demonstrated previously and in this article, including diversity, composition, heterogeneity, stochasticity, and complex network analyses, are equally applicable to OMU metagenomic analyses, just as to OTU analyses. Consequently, I strongly advocate the unification of OTU/OMU (microbiomes) with classic ecology of plants and animals (macrobiomes) in the context of medical ecology.

An in-depth evaluation of metagenomic classifiers for soil microbiomes

BackgroundRecent endeavours in metagenomics, exemplified by projects such as the human microbiome project and TARA Oceans, have illuminated the complexities of microbial biomes. A robust bioinformatic pipeline and meticulous evaluation of their methodology have contributed to the success of these projects. The soil environment, however, with its unique challenges, requires a specialized methodological exploration to maximize microbial insights. A notable limitation in soil microbiome studies is the dearth of soil-specific reference databases available to classifiers that emulate the complexity of soil communities. There is also a lack of in-vitro mock communities derived from soil strains that can be assessed for taxonomic classification accuracy.ResultsIn this study, we generated a custom in-silico mock community containing microbial genomes commonly observed in the soil microbiome. Using this mock community, we simulated shotgun sequencing data to evaluate the performance of three leading metagenomic classifiers: Kraken2 (supplemented with Bracken, using a custom database derived from GTDB-TK genomes along with its own default database), Kaiju, and MetaPhlAn, utilizing their respective default databases for a robust analysis. Our results highlight the importance of optimizing taxonomic classification parameters, database selection, as well as analysing trimmed reads and contigs. Our study showed that classifiers tailored to the specific taxa present in our samples led to fewer errors compared to broader databases including microbial eukaryotes, protozoa, or human genomes, highlighting the effectiveness of targeted taxonomic classification. Notably, an optimal classifier performance was achieved when applying a relative abundance threshold of 0.001% or 0.005%. The Kraken2 supplemented with bracken, with a custom database demonstrated superior precision, sensitivity, F1 score, and overall sequence classification. Using a custom database, this classifier classified 99% of in-silico reads and 58% of real-world soil shotgun reads, with the latter identifying previously overlooked phyla using a custom database.ConclusionThis study underscores the potential advantages of in-silico methodological optimization in metagenomic analyses, especially when deciphering the complexities of soil microbiomes. We demonstrate that the choice of classifier and database significantly impacts microbial taxonomic profiling. Our findings suggest that employing Kraken2 with Bracken, coupled with a custom database of GTDB-TK genomes and fungal genomes at a relative abundance threshold of 0.001% provides optimal accuracy in soil shotgun metagenome analysis.

Effect of a probiotic and an antibiotic on the mobilome of the porcine microbiota.

Introduction: To consider the growing health issues caused by antibiotic resistance from a "one health" perspective, the contribution of meat production needs to be addressed. While antibiotic resistance is naturally present in microbial communities, the treatment of farm animals with antibiotics causes an increase in antibiotic resistance genes (ARG) in the gut microbiome. Pigs are among the most prevalent animals in agriculture; therefore, reducing the prevalence of antibiotic-resistant bacteria in the pig gut microbiome could reduce the spread of antibiotic resistance. Probiotics are often studied as a way to modulate the microbiome and are, therefore, an interesting way to potentially decrease antibiotic resistance. Methods: To assess the efficacy of a probiotic to reduce the prevalence of ARGs in the pig microbiome, six pigs received either treatment with antibiotics (tylvalosin), probiotics (Pediococcus acidilactici MA18/5M; Biopower® PA), or a combination of both. Their faeces and ileal digesta were collected and DNA was extracted for whole genome shotgun sequencing. The reads were compared with taxonomy and ARG databases to identify the taxa and resistance genes in the samples. Results: The results showed that the ARG profiles in the faeces of the antibiotic and combination treatments were similar, and both were different from the profiles of the probiotic treatment (p < 0.05). The effects of the treatments were different in the digesta and faeces. Many macrolide resistance genes were detected in a higher proportion in the microbiome of the pigs treated with antibiotics or the combination of probiotics and antibiotics. Resistance-carrying conjugative plasmids and horizontal transfer genes were also amplified in faeces samples for the antibiotic and combined treatments. There was no effect of treatment on the short chain fatty acid content in the digesta or the faeces. Conclusion: There is no positive effect of adding probiotics to an antibiotic treatment when these treatments are administered simultaneously.

Target enrichment improves culture-independent detection of Neisseria gonorrhoeae and antimicrobial resistance determinants direct from clinical samples with Nanopore sequencing.

Multi-drug-resistant Neisseria gonorrhoeae infection is a significant public health risk. Rapidly detecting N. gonorrhoeae and antimicrobial-resistant (AMR) determinants by metagenomic sequencing of urine is possible, although high levels of host DNA and overgrowth of contaminating species hamper sequencing and limit N. gonorrhoeae genome coverage. We performed Nanopore sequencing of nucleic acid amplification test-positive urine samples and culture-positive urethral swabs with and without probe-based target enrichment, using a custom SureSelect panel, to investigate whether selective enrichment of N. gonorrhoeae DNA improves detection of both species and AMR determinants. Probes were designed to cover the entire N. gonorrhoeae genome, with tenfold enrichment of probes covering selected AMR determinants. Multiplexing was tested in a subset of samples. The proportion of sequence bases classified as N. gonorrhoeae increased in all samples after enrichment, from a median (IQR) of 0.05 % (0.01-0.1 %) to 76 % (42-82 %), giving a corresponding median improvement in fold genome coverage of 365 times (112-720). Over 20-fold coverage, required for robust AMR determinant detection, was achieved in 13/15(87 %) samples, compared to 2/15(13 %) without enrichment. The four samples multiplexed together also achieved >20-fold genome coverage. Coverage of AMR determinants was sufficient to predict resistance conferred by changes in chromosomal genes, where present, and genome coverage also enabled phylogenetic relationships to be reconstructed. Probe-based target enrichment can improve N. gonorrhoeae genome coverage when sequencing DNA extracts directly from urine or urethral swabs, allowing for detection of AMR determinants. Additionally, multiplexing prior to enrichment provided enough genome coverage for AMR detection and reduces the costs associated with this method.

Placental TLR recognition of salivary and subgingival microbiota is associated with pregnancy complications

BackgroundPre-term birth, the leading cause of neonatal mortality, has been associated with maternal periodontal disease and the presence of oral pathogens in the placenta. However, the mechanisms that underpin this link are not known. This investigation aimed to identify the origins of placental microbiota and to interrogate the association between parturition complications and immune recognition of placental microbial motifs.61FbVQciH1C2BbwKYgvy28Video MethodsSaliva, plaque, serum, and placenta were collected during 130 full-term (FT), pre-term (PT), or pre-term complicated by pre-eclampsia (PTPE) deliveries and subjected to whole-genome shotgun sequencing. Real-time quantitative PCR was used to measure toll-like receptors (TLR) 1–10 expression in placental samples. Source tracking was employed to trace the origins of the placental microbiota.ResultsWe discovered 10,007 functionally annotated genes representing 420 taxa in the placenta that could not be attributed to contamination. Placental microbial composition was the biggest discriminator of pregnancy complications, outweighing hypertension, BMI, smoking, and maternal age. A machine-learning algorithm trained on this microbial dataset predicted PTPE and PT with error rates of 4.05% and 8.6% (taxonomy) and 6.21% and 7.38% (function). Logistic regression revealed 32% higher odds of parturition complication (95% CI 2.8%, 81%) for every IQR increase in the Shannon diversity index after adjusting for maternal smoking status, maternal age, and gravida. We also discovered distinct expression patterns of TLRs that detect RNA- and DNA-containing antigens in the three groups, with significant upregulation of TLR9, and concomitant downregulation of TLR7 in PTPE and PT groups, and dense correlation networks between microbial genes and these TLRs. 70–82% of placental microbiota were traced to serum and thence to the salivary and subgingival microbiomes. The oral and serum microbiomes of PTPE and PT groups displayed significant enrichment of genes encoding iron transport, exosome, adhesion, quorum sensing, lipopolysaccharide, biofilm, and steroid degradation.ConclusionsWithin the limits of cross-sectional analysis, we find evidence to suggest that oral bacteria might translocate to the placenta via serum and trigger immune signaling pathways capable of inducing placental vascular pathology. This might explain, in part, the higher incidence of obstetric syndromes in women with periodontal disease.

Differential enrichment of bacteria and phages in the vaginal microbiomes in PCOS and obesity: shotgun sequencing analysis

IntroductionPrevious research has linked vaginal bacteria to polycystic ovary syndrome (PCOS) and obesity in women, yet the specific disparities in vaginal microbiota between these conditions remain unclear.MethodsIn this study, we aimed to elucidate the contribution of dysregulated vaginal microbiota to PCOS and obesity by analyzing the vaginal microbiota in reproductive-aged women with and without PCOS, as well as obese and non-obese women, using shotgun sequencing.ResultsSwab specimens were collected from four groups of subjects: PCOS and obese, PCOS and non-obese, non-PCOS and obese, and non-PCOS and non-obese. A total of 333 bacteria and 24 viruses/phages were identified to the species level. Clustering analysis revealed that non-PCOS and non-obese individuals exhibit a similar “healthy” vaginal microbiome, while both obesity and PCOS were associated with microbial dysbiosis. Significant differences in abundance were observed for 26 bacterial species and 6 phages/viruses between groups. Notably, pathobionts such as Streptococcus pyogenes, Leptospira santarosai, Citrobacter amalonaticus, Listeria ivanovii, and Clostridium perfringens were significantly less abundant or absent in the non-PCOS and non-obese group. Furthermore, the abundance of Lactobacillus, Pseudomonas bacteria, and their corresponding phages exhibited positive correlations. Lactobacillus bacteria, lactobacillus phage, and pseudomonas phage/virus were identified as indicators of a healthy vaginal microbiome. Importantly, the differentially enriched bacteria in the PCOS and obesity groups were distinct.DiscussionThis study confirms that PCOS and obesity are associated with differing enrichment of bacteria and viruses/phages, with both conditions linked to microbial dysbiosis. Moreover, our findings suggest that vaginal phage diversity is associated with a healthy vaginal microbiota, while dysbiosis is associated with a decrease in phages alongside increased bacterial diversity.

Abstract 3760: The importance of optimizing DNA extraction conditions for formalin fixed paraffin embedded tissues

Abstract The pre-analytic extraction of Formalin Fixed Paraffin Embedded Tissues (FFPETs) appears to have a profound effect on the ability to obtain meaningful data from the DNA therein. FFPETs represent important materials in Pathology that are used to diagnose and analyze cancer. As part of preparing FFPETs, the formalin fixation step preserves the structure of tissues through covalent modifications but can also damage nucleic acids through that same process. Over the last decade, the emergence of Molecular Pathology, which benefits from gentler fixation compared to Histopathology and especially Immunohistopathology, has led to changes in how FFPETs are prepared. However, the remnant FFPETs from over a decade ago may be far from representative of what is now prepared for Molecular Pathology by many laboratories. Here we discuss our optimization of FFPET extraction for gently fixed samples. When we prepared our Seraseq FFPE Homologous Recombination Deficiency (HRD) reference standards using fixation conditions that are recommended for Molecular Pathology and extracted the resulting FFPETs using generic conditions, our initial coverage data from Whole Genome Shotgun (WGS) sequencing was difficult to analyze for changes in copy number across the genome. A major contributor to nonuniform coverage was identified as the formalin reversal step, where deparaffinized proteinase K-digested tissue is heated in water to near boiling to attempt to detach formaldehyde from nucleic acids through hydrolysis. Given the gentler fixation conditions, this step was found to be mostly unnecessary, and omitting it improved the resulting data substantially. A reason for this appears to be that the gentler fixation conditions that are now in use may not protect the DNA from the effects of near-boiling water, where the lack of salt lowers the melting temperature of double stranded DNA fragments and causes them to denature unless they have a higher GC content. Different kits used for the extraction of nucleic acids from FFPETs may benefit from different optimizations to obtain improved sequencing data from today’s Molecular pathology samples, and reference standards that represent such samples provide a useful tool for such optimizations. Citation Format: Matthew G. Butler, Benedicta Forson, Maria Cowen, Jayanthi Ramprakash, Dana Ruminski Lowe, Yves Konigshofer. The importance of optimizing DNA extraction conditions for formalin fixed paraffin embedded tissues [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3760.

Abstract 6617: Oral microbiome and subsequent risk for head and neck squamous cell cancer development

Abstract Background: The oral microbiota may be involved in head and neck squamous cell cancer (HNSCC) etiology, yet current evidence is largely limited to bacterial 16S amplicon sequencing or small retrospective case-control studies. We tested whether any oral bacteria and/or fungi influence the subsequent risk of HNSCC development. Methods: We conducted a prospective case-control study nested within three epidemiological cohorts: the ACS-Cancer Prevention Study-II Nutrition Cohort (ACS-CPS-II), the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO), and the Southern Community Cohort Study (SCCS). Among 159,840 cohort participants, 236 individuals developed HNSCC during an average of 5.1 years of follow-up, and 485 controls who remained HNSCC-free were selected by 2:1 frequency matching, by cohort, age, sex, race/ethnicity, and time since mouthwash collection. All participants provided mouthwash samples and were cancer-free at baseline. We characterized the oral bacterial microbiome, using whole-genome shotgun sequencing, and the oral fungal microbiome, using ITS sequencing. We assessed relative abundance of microbiome-wide bacterial and fungal taxa for association with HNSCC by ANCOM-BC analysis. We also evaluated selected oral pathogen complexes for association with HNSCC by logistic regression. A microbial risk score (MRS) for HNSCC risk was calculated from all risk-associated microbes. Results: Overall microbiome diversity at baseline was not related to the subsequent risk of HNSCC; however, we found that 13 oral bacterial species were differentially associated with development of this disease (P&amp;lt;0.05), including newly identified Prevotella salivae, Streptococcus sanguinis, Leptotrichia sp, and several species belonging to Beta- and Gamma-proteobacteria. Furthermore, a priori periodontal pathogen complexes were associated with a higher risk of HNSCC (“red/orange” complex, OR=1.06, 95% CI=1.00-1.12). We did not identify any fungal taxa associated with HNSCC risk. Together, an MRS constructed for risk-associated bacteria and bacterial periodontal complexes conferred a 50% increase in HNSCC risk, per standard deviation increase in the MRS (multivariate OR=1.50, 95% CI=1.21-1.85). Conclusions: Our research yields compelling evidence that oral bacteria are a risk factor for the development of HNSCC. The identified bacteria and bacterial complexes hold promise for identifying high-risk individuals and may further lead to personalized prevention approaches for HNSCC. Citation Format: Soyoung Kwak, Mykhaylo Usyk, Feng Wu, Neal D. Freedman, Wen-Yi Huang, Marji L. Mccullough, Caroline Y. Um, Martha J. Shrubsole, Qiuyin Cai, Chan Wang, Huilin Li, Jiyoung Ahn, Richard B. Hayes. Oral microbiome and subsequent risk for head and neck squamous cell cancer development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6617.

Abstract 758: Comparative Microbiome Analysis of Paired Mucosal and Fecal Samples in Korean Colorectal Cancer Patients

Abstract Background Beyond the known risk factors such as age over 50, unhealthy diet, ethnicity, and smoking, emerging evidence suggests that gut microbial dysbiosis plays a crucial role in the early stages of colorectal cancer (CRC) by contributing to chronic inflammation and various intestinal dysfunctions. Even though various bacterial species have been studied, the gut microbiome profile as a representative biomarker in CRC patients remains largely unreported. This study presents a comparative analysis of the microbiome profiles of fecal and mucosal samples from CRC patients, followed by metagenomic profiling investigation to validate dominant bacteria in each sample type of CRC patients. Methods The study involved 12 patients receiving CRC resection at Myongji Hospital in South Korea, recruited from May 2020 to June 2021. Fecal samples were collected pre-surgery, and mucosal samples during surgery. Paired-end sequencing was performed using Illumina MiSeq (Illumina, San Diego, USA) platform. 16s rRNA gene-based microbiome profiling was analyzed using QIIME2 (V.2020.11), a plugin-based platform for microbiome analysis. Sequencing reads were filtered, denoised, and clustered into amplicon sequence variants (ASVs) using DADA2 included in QIIME2. Taxonomic classification was assigned in the QIIME2 pipeline using a pre-trained classifier based on the Silva 138.1 reference sequence. Linear discriminant analysis (LDA) effect size (LEfSe) analysis was performed with LDA score ≥3.0 and p-value of 0.05. Results The study subjects included 12 Korean patients, with an average age of 71 ± 10 years. The gender distribution included 3 men and 9 women whose body mass index was 24.6 ± 2.4 (mean ± SD). There was significant difference observed in UniFrac beta-diversity between the two groups (p=0.001). The relative taxonomic patterns of the microbiota between CRC stool and tissue showed that Bacteroides and Fusobacterium were more dominant in tissue than stool at both phylum and genus levels. Further taxonomic differences between the samples revealed that Firmicutes, Bacilli, and Lactobacillacease were over-represented in CRC patient stool, while Pseudomonadales (p&amp;lt;0.001) and Pseudomonas (p&amp;lt;0.001) were identified in the mucosal tissue. Conclusion Our findings revealed that notable distinction was observed in the beta-diversity, indicating a unique microbial composition in tissue. Specifically, higher prevalence of Bacteroides and Fusobacterium at the genus level were identified in tissue. Additionally, our analysis highlighted Pseudomonadales and Pseudomonas emerged in CRC mucosal tissues. Furthermore, by comparing with a healthy control group, we aim to further elucidate potential markers unique to CRC patients. Citation Format: Sanghun Lee. Comparative Microbiome Analysis of Paired Mucosal and Fecal Samples in Korean Colorectal Cancer Patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 758.

Abstract 2794: Consumption of dietary fiber correlates with a significant increase in a-diversity in the intestinal Microbiome of allo-HCT recipients and with lower GVHD-lethality in pre-clinical models

Abstract Background: Graft-versus-host disease (GVHD) is associated with a decrease in intestinal microbiota and beneficial short-chain fatty acids (SCFAs). Dietary fiber can modulate the intestinal microbiome and SCFA production which effect intestinal epithelium health and immunity. Therefore, we hypothesized that a high-fiber diet in recipients of an allogeneic hematopoietic cell transplantation (allo-HCT) could result in an increase of beneficial commensals, concentrations of SCFAs, and decreased risk of GVHD. Methods: We evaluated dietary data and fecal samples of allo-HCT patients receiving unmodified grafts (n=95) at MSKCC (day -10 to day +30 relative to allo-HCT) and correlated microbial α-diversity (16s rRNA, n=568 samples) with fiber intake and acute GVHD in No-GVHD (n=30), Non-LGI-GVHD (GVHD except lower gastrointestinal tract, n=41), and LGI-GVHD patients (lower gastrointestinal tract GVHD, n=24).We tested concentrations of cellulose fiber (0%, 6%, 12% and 40%) in a GVHD mouse model (C57BL/6J into BALB/c) to assess survival, microbial composition (shotgun sequencing n=180; n=30 per group), cecal SCFAs concentrations (GC-MS n=24, n=8 per group), and lastly, T cell subsets (Th1/Th17/Tregs) and colonic epithelial MHC-II expression (flow cytometry n=54, n=18 per group). Results: In allo-HCT patients, fiber intake correlated positively with microbial α-diversity (R=0.3, p=0.04), especially in the LGI-GVHD group (p=0.007). Additionally, patients with high fiber intake had higher microbial α-diversity compared to the low fiber cohort (p&amp;lt;0.0001).GVHD mice receiving a fiber-rich diet (12%), compared to 0% and 6%, had a higher microbial α-diversity (p=0.01); reduced GVHD lethality (p=0.02); and a decrease in the Enterococcus sp. (p=0.004) and Akkermansia sp. (p=0.01) abundance; taxa which are associated with worse overall survival and increased risk of lethal GVHD. In contrast, compared to 12%, the 40% fiber diet resulted in worse survival (p=0.002), lower α-diversity (p=0.05) and a higher abundance of Bifidobacterium sp. (p&amp;lt;0.0001).Cecal butyrate in GVHD mice was higher in response to the 12% vs. the 0% (p=0.01) and 6% (p=0.05) fiber diets. Mice treated with12% fiber displayed higher number of Tregs (CD4+CD25+FOXP3+), than those with 0% (p=0.001) and 6% (p=0.02); and a lower expression of MHC-II in epithelial cells (EpCAM+CD45-) vs. 0% fiber (p=0.02). Conclusions: We demonstrated that a higher fiber intake in allo-HCT patients is associated with an increase in α-diversity; especially in LGI-GVHD patients. In a pre-clinical GVHD-model, optimal fiber consumption (12% cellulose) leads to an increase in α-diversity, a decrease in pathogen relative abundance, increased T-regulatory cells, and a decrease in GVHD lethality. These results suggest that dietary fiber could be utilized to prevent GVHD. Citation Format: Jenny Paredes, Anqi Dai, Ruben J. Faustino Ramos, Peter Adintori, Teng Fei, Chi Nguyen, Harold Elias, Kristen Victor, Romina Ghale, Charlotte Pohl, Ana Gradissimo, Justin Cross, Oriana Miltiadous, Jonathan Peled, Marina Burgos da Silva, Marcel RM van den Brink. Consumption of dietary fiber correlates with a significant increase in a-diversity in the intestinal Microbiome of allo-HCT recipients and with lower GVHD-lethality in pre-clinical models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2794.

Abstract 2805: Shotgun sequencing of serial fecal microbiome samples in patients with colorectal cancer reveals distinct bacterial species and metabolic pathways associated with tumor sidedness and age at diagnosis

Abstract Background: The incidence of early onset (EO) colorectal cancer (CRC) (age &amp;lt;50) is rising with a left-sided predominance. Response to chemotherapy and anti-EGFR therapies differ in left- and right-sided colon cancers after accounting for genomic differences. The intestinal microbiome may contribute to CRC pathogenesis and response to therapy; how organisms drive metastasis and treatment resistance is not known. Purpose: To define the microbiome contribution to EO-CRC and response to treatment by analyzing longitudinal samples from previously untreated patients with CRC. Methods: We designed a prospective biospecimen collection platform and selected patients with previously untreated CRC. We collected stool, biopsy or surgical tissue, and peripheral blood mononuclear cells at baseline and serially throughout treatment. Stool samples were analyzed using shotgun sequencing. Alpha diversity was calculated using the inverse Simpson index and compared between groups using the Wilcoxon signed-rank test. Beta diversity was analyzed using the Bray-Curtis dissimilarity matrix and compared using PERMANOVA. Multivariate associations between species abundance, metabolic pathway abundance and clinical covariates were performed using MaAsLin2 R package. Results: We analyzed a total of 132 stool samples from 65 patients with CRC including up to 5 samples from a single patient over time. Mean alpha diversity did not differ significantly by primary site, stage or age at diagnosis. Beta diversity was significantly different between samples from right- compared with left-sided CRC (P=.011) and pre- and post-surgery (P=.001). Beta diversity also differed significantly by diagnosis age (&amp;lt;50 vs. &amp;gt; 50) (P=.001 all samples, P=.032 baseline samples). When CRC baseline samples were examined at the species level, Blautia glucerasea was associated with right-sided primary (P&amp;lt;.001, Q=.1). Considering non-metastatic cases, recurrence was associated with increased Enteroscipio rubneri, Actinomyces oral taxon 448, Bacteroidales sp. and Lancefieldella parvula (P&amp;lt;.01, Q&amp;gt;0.1). We further investigated metabolic pathway associations. The superpathway of L-threonine metabolism was significantly increased in samples from patients with right-sided colon cancer at baseline (P&amp;lt;.001, Q=.03). Considering samples across all time points, right-sided colon cancer was associated with increased abundance of pathways associated with propanoate degradation, L-threonine metabolism, yeast NADPH production, and hydroxyphenylacetate degradation (all P&amp;lt;.001, Q&amp;lt;.05). Conclusions: The functional effects of the intestinal microbiome may underlie the distinct biology of right-sided colon cancer. Composition of the intestinal microbiome differs by age at diagnosis. Updated recurrence data will be presented. Citation Format: Melissa Lumish, Nicholas Waters, Joshua Leinwand, Asha Saxena, Anqi Dai, Teng Fei, Maggie Fox, Andre Chavez, Jonathan Bermeo, Dorina Ismailgeci, Elizabeth Benitez, Christopher Cowley, Julio Garcia-Aguilar, Martin Weiser, Andrea Cercek, Luis A. Diaz, Marcel van den Brink, Jonathan Peled, Karuna Ganesh. Shotgun sequencing of serial fecal microbiome samples in patients with colorectal cancer reveals distinct bacterial species and metabolic pathways associated with tumor sidedness and age at diagnosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2805.