2021 FDA-NIH-NIST-USDA Joint Agency Microbiome (JAM) Symposium

FDA-NIH-NIST-USDA

Welcome to the Virtual Poster Session for the 2021 JAM Annual Symposium!  Note that posters will be accessible for attendees to peruse throughout the 2-day symposium.  


The Joint Agency Microbiome (JAM) Working Group's mission is to communicate, across Federal Agencies, ongoing microbiome-focused research.   The JAM was founded in 2017 by researchers from FDA and NIH.   In 2019, NIST joined the JAM.  And in 2021, USDA joined the JAM.   The JAM has quarterly virtual meetings and an annual face-to-face meeting.  Albeit the 2021 annual face-to-face meeting is being held virtually due to the pandemic. 

Show Posters:

Bacteriomic analyses of Asian citrus psyllid and citrus samples infected with ‘Candidatus Liberibacter asiaticus’ in southern California and HLB management implications

Jianchi Chen

Abstract
Citrus Huanglongbing (HLB; yellow shoot disease) is associated with an unculturable a-proteobacterium “Candidatus Liberibacter asiaticus” (CLas). HLB was found in southern California in 2012, and the current management strategy is based on suppression of the Asian citrus psyllid (Diaphorina citri) that transmits CLas and removal of confirmed CLas-positive trees. Little is known about Asian citrus psyllid associated bacteria and citrus-associated bacteria in the HLB system. Such information is important in HLB management, particularly for accurate detection of CLas. Recent advancements in next-generation sequencing technology provide new opportunities to study HLB through genomic DNA sequence analyses (metagenomics). In this study, HLB-related bacteria in Asian citrus psyllid and citrus (represented by leaf midrib tissues) samples from southern California were analyzed. A metagenomic pipeline was developed to serve as a prototype for future bacteriomic research. This pipeline included steps of next-generation sequencing in Illumina platform, de novo assembly of Illumina reads, sequence classification using the Kaiju tool, acquisition of bacterial draft genome sequences, and taxonomic validation and diversity evaluation using average nucleotide identity. The identified bacteria in Asian citrus psyllids and citrus together included Bradyrhizobium, Buchnera, Burkholderia, “Candidatus Profftella armature,” “Candidatus Carsonella ruddii,” CLas, Mesorhizobium, Paraburkholderia, Pseudomonas, and Wolbachia. The whole genome of a CLas strain recently found in San Bernardino County was sequenced and classified into prophage typing group 1 (PTG-1), one of the five known CLas groups in California. Based on sequence similarity, Bradyrhizobium and Mesorhizobium were identified as possible source that could interfere with CLas detection using the 16S rRNA gene-based PCR commonly used for HLB diagnosis, particularly at low or zero CLas titer situation.
Presented by
Jianchi Chen <jianchi.chen@usda.gov>
Institution
USDA-ARS

The Neuro-Endo-Microbio-OmeStudy: Neurobiological Alterations in Bariatric Surgery

K. Agarwal; K. A. Maki; C. Vizioli; S. Carnell; E. Goodman; M. Hurley; C. Harris; R. Colwell; K. Steele; P.V. Joseph

Abstract
Abstract

Background: Plausible mechanisms regarding physiologic effects and resulting weight loss following bariatric surgery include neural contributions, gut hormones and microbiome changes.. This pilot study aims to study the associations and inter-relationships of these factors comparing vertical sleeve gastrectomy (VSG), Roux-en Y gastric bypass (RYGB) to medical weight loss (MWL).

Methods: BS subjects included VSG, n=7 and RYGB, n=9 versus non-BS/MWL, n=6 as controls. Ghrelin, glucagon peptide-1 (GLP1), peptide-YY (PYY), gut microbiome, and resting state functional magnetic resonance imaging (rsfMRI; using fractional amplitude of low-frequency fluctuations [fALFF]) were measured pre and post-BS and MWL in both fasting and fed states. We explored phenotype characterization using clustering on gut hormone, microbiome and rsfMRI and a combined analysis.

Results: More fALFF differences were seen in post-BS versus post-MWL In fed state, fALFF amplitude decreased in food reward regions post-BS. Differential relative abundance of several gut microbiome bacterial species increased post-BS. The combined gut hormone, microbiome, and rsfMRI analysis most accurately clustered samples into pre- and post-BS groups.

Conclusion: Post-BS appears to have greater phenotypic differences in interactions of the gut hormone, microbiome and rsfMRI versus MWL. These results will inform future prospective research studying gut-brain changes post-BS.
Presented by
Carlotta Vizioli
Institution
NIH/NIAAA
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Available Aug.30 and Aug. 31 3:00pm-5:00pm

Microbiome Diversity in Psyllids, "Non-vector" compared to a "vector" of Huanglongbing

Wayne B. Hunter, Douglas S. Stuehler, Jawwad Qureshi, Surya Saha, Liliana M. Cano

Abstract
The microbiome of insects strongly influences many aspects of physiology and biology. In vector species, the microbial interactions also can influence the capacity of pathogen acquisition and transmission. Therefore, to better understand these associations that affect transmission success we selected a ‘non-vector’ psyllid specie in Florida to conduct comparative RNA-seq analyses of the microbiome: The wild lime psyllid, WLP, Leuronota fagarae Burckhardt (Hemiptera: Triozidae). Data analyses used in silico bioinformatics to putatively identify bacterial species in WLP and compare the presence and titers of these to published data for the microbiome of the Asian citrus psyllid, ACP adults. In ACP it has been shown that the microbiota shifts during the development, enabling acquisition of the pathogenic CLas in the first instars. Reduction of P. armatura was correlated with an increase CLas titers in ACP. The inverse was also reported with decreased transmission when P. armature are at increased titers over CLas. However, when Wolbachia-Dc titers in ACP are increased there is an increase in CLas transmission. Examination of the L. fagarae microbiome (extracted from 100 adults, both genders) showed less than 0.1% returns for Wolbachia, with close similarity to Wolb-pipiensis, not to Wolb-Dc in ACP. A novel Pantoea specie was identify (tentative named Pantoea leuronota). There are reports of Pantoea sp. in ACP and Potato psyllid . No 'Profftella' related endosymbiont was detected in WLP, However two unique clades to potential endosymbionts include Moraxella spp. (reported in aphids); and interestingly an endosymbiont related to a member in the Alphaproteobacteria (Candidatus Hodgkinia cicadicola) reported from Cicadas. Further analyses will evaluate potential roles in immunity and pathogen transmission.
Presented by
Wayne Hunter <Wayne.hunter@usda.gov>
Institution
1.USDA, ARS, U.S. Horticultural Research Laboratory, 2001 South Rock Road, Fort Pierce, Florida 34945. USA. Wayne.hunter@usda.gov; 2.ORISE participant, DOE/USDA, ARS, Fort Pierce, FL 34945, USA. Email: douglas.stuehler@gmail.com; 3. University of Florida, Southwest Florida Research and Education Center (SWFREC), 2685 SR 29 North Immokalee, Florida 34142. USA. jawwadq@ufl.edu; 4. Boyce Thompson Institute, Ithaca, NY 14853, USA; *Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ 85721,USA; 5. University of Florida, IFAS, Dept. Plant Pathology, (IRREC), 2199 South Rock Rd, Ft. Pierce, FL 34945, USA. Email: lmcano@ufl.edu

Effects of consuming cooked rice with different levels of resistant starch on intestinal microbial composition in a rodent model

Jiawei Wan†, ‡, §, ‖, Yanbei Wu‡, §,⊥, Quynhchi Pham‡, Robert W. LiΔ, Liangli Yu§, Ming-Hsuan Chen#, Stephen M. Boue+, Wallace Yokoyama〒, Bin Li†, ‖*, Thomas T.Y. Wang‡*

Abstract
The literature on resistant starch, consumed as part of whole food, is sparse. The aim of this study was to evaluate the effects of RS, consumed in the form of cooked rice, and fat level on the gut microbiome in C57BL/6 mice. Three levels of RS from three varieties of cooked rice were the major source of carbohydrate and fat levels were low (10%) or high (39%). We confirmed that RS decreased the Firmicutes to Bacteroidetes ratio, increased short chain fatty acid production associated with higher Bacteroidaceae and S24-7 abundance. Enrichment of predicted gene families of glycosidases and functional pathways associated with carbohydrate and glycan metabolism were also observed. We also found correlations between microbial taxa and tissue gene expression related to carbohydrate and lipid metabolism. Moreover, increasing RS levels resulted in modification of the gut microbiome include enhanced modularity and interspecific synergy of bacterial molecular ecological network, less sensitivity to microbiome changes elicited by high fat intervention. Overall, RS as low as 0.44% from cooked rice can modulate the gut microbiome in mice, which correlated with protection against deleterious effects of an obesogenic diet on adipose weight and plasma index.
Presented by
Tom Wang
Institution
† College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China ‡ Diet Genomics and Immunology Laboratory, BHNRC, ARS, USDA, Beltsville, MD 20705, USA § Department of Nutrition and Food Science, University of Maryland, College Park, MD 20742, USA ‖ Key Laboratory of Environment Correlative Dietology (Huazhong Agricultural University), Ministry of Education, China ⊥ China-Canada Joint Lab of Food Nutrition and Health (Beijing), Beijing Technology &Business University, Beijing 100084, PR China
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Available 8/30 1:30 PM

Organic soil amendments influence taxonomic and functional variation of bacteria in the soil microbiome

Nicholas LeBlanc

Abstract
Managing the soil microbiome using organic amendments is a promising approach for improving soil and crop health. Despite the growing interest in organic amendments, their effect on the soil microbiome is poorly characterized. This research tested the effect of green manure organic soil amendments on the taxonomic and functional variation of bacteria in the soil microbiome. Green manure amendments were generated from biomass of broccoli, marigold and sudangrass. The three green manures were amended to field soil and fallow (i.e., non-amended) soil was used as a negative control. Lettuce seedlings were transplanted into amended and fallow soil and maintained for twelve weeks under controlled conditions. Bacterial communities were characterized from soil DNA using nanopore sequencing of 16S rRNA and shotgun metagenome libraries. 16S and shotgun metagenome data were classified to bacterial genera using Kraken2. Shotgun metagenome data were also classified to functional hierarchies using MEGAN. Both 16S and shotgun metagenome data showed the taxonomic composition of bacterial communities was differentiated among the three types of green manures and the fallow negative control. Functional data showed more than one green manure amendment increased the abundance of bacterial traits related to iron and carbon acquisition and decreased bacterial traits related to type II and type IV secretion systems. This work demonstrates different green manure organic soil amendments can have specific effects on the taxonomic composition of bacterial communities, but may have overlapping effects on bacterial functional traits in the soil microbiome.
Presented by
Nicholas LeBlanc
Institution
USDA-ARS

ONE HEALTH MICROBIOME RESEARCH ACROSS FDA CENTERS Contributed by the Microbiome Working Group (MWG)

Silvia Pineiro, Andrea Ottesen, Daniel Tadesse, Jennifer Brzezinski, Paul Morin, Paul Carlson, Siobhan Cowley, Kathleen Clouse, Odile Engel, Joseph Briggs, Alyxandria Schubert, David Craft, Aimee Cunningham, Bruce Erickson, Sangeeta Khare, Khaled Bouri, Shari Solomon, Lauren Viebrock, Jayanthi Gangiredla, Carmen Tartera

Abstract
In response to the rapid advancement of science and technology and corresponding implications for FDA-regulated products, FDA Regulatory Science Strategic priorities now include microbiome research sciences.  The term microbiome refers to the community of microbial species connected by physical location, interrelationships of function, and collective genomic potential. There is extensive data-based evidence that human, animal and environmental microbiota play highly significant and varied roles in states of health and disease. As FDA regulates a broad range of products and devices that interact either directly or indirectly with human and animal microbiota, multiple Centers and Offices are involved in research that spans microbiology, toxicology, nutrition, immunology, antimicrobial resistance and a wide range of additional categories. Food, antibiotics, drug and chemical residues may shape gastrointestinal microbiota, cosmetics may alter skin microbiota, and metabolites of all of these may influence complex microbiome mediated processes highly significant to human health. Additionally, FDA regulates and evaluates products that are comprised intentionally or unintentionally of microbes and/or microbial communities such as fecal microbiota transplants, live microbes in foods, dietary supplements, tobacco products, and live biotherapeutic products. Microbiome research provides insight into the mechanistic action of such products to lead to data based evaluation of potential toxic or beneficial effects and correlated recommendations and regulatory policy. Here, representatives of the Microbiome Working Group (MWG) (which spans 9 Centers and Offices) provide a comprehensive portfolio of FDA microbiome research in their respective Centers and Offices, as well as a snapshot of intra and interagency collaborative efforts. Details of some of these research components are highlighted here and additionally presented as individual posters..
Presented by
Jayanthi Gangiredla
Institution
FDA
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Available August 31st 3.30pm-4pm

Deciphering the role of gut microbiota in drug-induced inflammation through Single Cell analysis

Soumen Roy1*, Carolyne Smith1, Ratnadeep Mukherjee2, Raquel Costa1, Lauren Amble1, Jonathan Badger1, Amiran Dzutsev1, April Huang1, Simone Difilippantonio3, Sharon Bargo1, Gregoire Altan-Bonnet2, Giorgio Trinchieri1

Abstract
Anticancer chemotherapy has achieved a significant milestone in increasing the number of cancer survivors over past decades, while leaving behind the survivors with various toxic side effects, which are nephrotoxicity, ototoxicity, and peripheral neuropathy. By 2021, there will be over 19 million of cancer survivors all over the world. Majority of them might develop long term toxicity due to the exposure to various anti-cancer therapies. Challenges remain to achieve both, to reduce systemic toxicity as well as retaining the anticancer therapy at the same time. Recent study shows that gut microbiota modulates the efficacy of anti-cancer chemotherapy, however very little is known about the role of gut microbiota in modulating systemic toxicity. We hypothesize that gut microbiota regulates drug-induced systemic immunity and inflammation. We utilized high dimensional flow cytometry, CyTOF, single cell RNAseq and microbiome sequencing (16s rRNA and shotgun metagenomics) to study drug-immune cells-microbiota interaction. We identified specific immune cell types within the systemic circulation as well as in various organs, which regulates systemic inflammation. Our data demonstrate that specific microbiota modulation regulates drug-induced toxicity.
Presented by
Soumen Roy
Institution
1. Laboratory of Integrative Cancer Immunology (LICI), Center for Cancer Research, NCI, NIH 2. ImmunoDynamics Group, Center for Cancer Research, NCI, NIH 3. SAIC-Frederick, Inc., Frederick *Dr. Soumen Roy is currently working at FDA, CDRH, OHT7, DMGP, MPCB. This work was entirely performed at NCI, NIH
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Available August 30 & August 31, 1:30-2:00 PM

Microbial Communities Associated With Soil Health In Wheat

Daniel C. Schlatter, Jeremy Hansen, David R Huggins, Brian Carlson, Timothy C. Paulitz

Abstract
Soil health is an increasingly important concept that provides aspirational targets for agricultural management. Due in part to the incredible diversity of soil microbial communities, however, the biological components of soil health remain poorly understood. In this work we employ high-throughput sequencing of bacterial and fungal marker genes to evaluate soil microbial communities in relation to soil chemical parameters, biological soil health tests, and crop yields in fields under long-term reduced tillage (business-as-usual) and no tillage (aspirational) management at two soil depths. We found that tillage systems and soil depth were crucial determinants of microbial communities in conjunction with soil chemical measures. Moreover, although some measures of biological soil health (CO2-burst, Haney Soil Health Score) did not differentiate fields under different tillage systems, there were clear differences in microbial communities. The relative abundances of many microbial taxa were significantly related to soil chemical variables and crop yields. Fungal communities showed stronger correlations with yield than bacterial communities. Fungi from the families Sordariaceae, Hydnodontaceae, Hypocreaceae, and Clavicipitaceae were positively correlated with yield, especially in the upper soil depth, while Glomeraceae and Phaeosphaeriaceae were negatively correlated. Many of these correlations were also seen in the subsequent winter wheat and chickpea crops, and some correlations could be detected in the 20-year previous yield history of the no-tillage farm. Among the bacteria, only Microbaceriaceae and Xanthomonadaceae were positively correlated, but Caulobacteriaceae, Flavobacteriaceae, Sphingobacteriaceae, Chitinophagaceae were more abundant in lower yielding locations. This may reflect the strong plant selection in the rhizosphere for these bacterial groups in stressed plants. There were no significant differences between microbial diversity and management practices or significant correlations with crop yields. These results suggest that some specific groups of microbial taxa are responsive to tillage systems, exhibit positive relationships with grain yields, and may be useful indicators of soil health.
Presented by
Dan Schlattter <daniel.schlatter@usda.gov>
Institution
USDA-ARS

Geographic variation in the oral microbiome of NIH-AARP Diet and Health Study participants

Ian D. Buller, Emily Vogtmann, Mary H. Ward, Christian Abnet, Rashmi Sinha, Linda M. Liao, Yunhu Wan, Mitchell H. Gail, Rena R. Jones

Abstract
Geographic location of individuals may partially explain heterogeneity in the composition of their microbiota, but studies are limited. We evaluated the spatial variation of oral microbial communities in a subset of participants in the NIH-AARP Diet and Health Study, a cohort of men and women aged 50-71 years. Geocoded addresses were available and buccal cell specimens collected 2005-2006 were analyzed using 16S rRNA gene sequencing. We compared richness of observed species (rarefaction: 20,000 reads) within and between six states (California, Florida, Pennsylvania, New Jersey, North Carolina, Louisiana; n=2,119) and 16 metropolitan areas (Atlanta, Charlotte, Detroit, Fort Lauderdale, Jacksonville, Los Angeles, New Brunswick, New Orleans, Orlando, Philadelphia, Pittsburgh, Raleigh, Sacramento, San Diego, San Francisco, Tampa; n=1,817) in which participants resided. We evaluated differences using intraclass correlation coefficients (ICC), a measure of spatial clustering (Moran’s I), and non-spatial linear models including age, sex, and smoking status as covariates. We also evaluated the relationship of Euclidean distance between participants and beta diversity using an index of overall community composition (a Bray-Curtis dissimilarity matrix; BCD; rarefaction: 20,000 reads) with the Mantel statistic (999 simulations) based on Pearson’s correlation (r). Species richness varied more within than between states (ICC=0.016; 95% CI:0.004-0.101), but no spatial autocorrelation was observed at the state level. Species richness varied more within each city than between cities (ICC=0.015; 95% CI:0.004-0.046) with positive spatial autocorrelation observed within Sacramento (I=0.044; p=0.042; n=93) and negative within Philadelphia (I=-0.031; p=0.022; n=238). Residuals were spatially autocorrelated in Philadelphia (p=0.026), suggesting variation was best explained by a spatial model. BCD was significantly correlated within Charlotte (r=0.184; p=0.013; n=35) and New Orleans (r=0.266; p=0.024; n=29). We demonstrated spatial variation in the oral microbiota of AARP participants within U.S. cities but not states, suggesting the importance of spatial scale for future analyses.
Presented by
Ian D. Buller, Ph.D., M.A.
Institution
National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Trans-Divisional Research Program
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Available August 30th, 5-6pm EDT

Unsupervised analysis methods for flow cytometry data from microbial reference materials

Kirsten Parratt, Sandra Da Silva, Joy Dunkers, Monique Hunter, Stephanie Servetas, Scott Jackson, Nancy J. Lin

Abstract
Flow cytometry is a useful tool for high-throughput, multiplexed analysis of microbes and microbiomes. However, interlaboratory studies reveal large variability between groups that can be partially attributed to a lack of reference materials and standardized analysis methods. To remedy this issue, our group produces highly characterized microbial reference and research grade materials (please see other NIST posters), along with data-driven analysis methods. Automated analysis methods are needed to replace traditional, manual analysis of flow cytometry data, because manual analysis has been repeatedly identified as a key source of variability and bias. Here, I describe the application of two unsupervised methods to cluster flow cytometry data. In the first use case, Gaussian mixture models are used to enumerate Escherichia coli based on scattering and fluorescent staining. In the second, self-organizing maps are used to identify pathogenic microbes in a more complex matrix. I will discuss why each method was selected for the given use case and how these methods can be applied to broader microbiome research questions.
Presented by
Kirsten Parratt
Institution
National Institute of Standards and Technology
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Available 1:30 - 2:00 pm, August 31st (Tuesday)

Evaluation of Candidate NIST Whole Cell Reference Material 

Monique E. Hunter, Kirsten H. Parratt, Stephanie L. Servetas, Jennifer N. Dootz, Jason G. Kralj, Samuel P. Forry, Nancy J. Lin, Scott A. Jackson

Abstract
The use of next generation sequencing technologies for pathogen identification is a complicated workflow that involves several steps where bias may be introduced. To challenge this workflow, NIST is developing a whole cell reference material to help characterize biases introduced during the DNA extraction step. This candidate reference material consists of 5 individual organisms: E. coli, S. aureus, P. aeruginosa, S. enterica, L. monocytogenes, and one mixture of the 5 organisms. As an initial assessment of material homogeneity, NIST has chosen three methods to characterize total and viable cell numbers for each component of the material. The Coulter Counter and the flow cytometry are being used to evaluate total cell number, and plating for colony forming units (CFU) is being used for viable cell count. Examination of 96 pellets total revealed that the material appears to be homogenous for both total and viable cell count. NIST also evaluated stability in an accelerated study (comparison of samples stored at -20 °C, 4 °C, 21 °C and 37 °C, and has a stability study in progress. While total cell number remained consistent at each temperature, viability unsurprisingly decreases significantly when the samples are stored at higher temperatures. To-date, the material has been stored at -20 °C for 25 months with stable total cell count and CFU for all materials. Here, we will show the data collected from E. coli, S. aureus and P. aeruginosa total and viable cell counts. Ongoing work includes validation of additional flow cytometry methods using diverse dyes to assess viable cell count; and new methods for evaluating cell enumeration and total DNA, including LC-MS, ddPCR, microscopy and flow- cytometry. Ultimately, fitness-for-purpose to assess variability in DNA extraction efficiency will be evaluated in an inter-lab study using diverse commercial kits and optimized protocols.
Presented by
Monique Hunter
Institution
National Institute of Standards and Technology
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Available Monday 30th 1:30pm-2pm, Tuesday 31th 1:30pm-2pm

Evaluation of alcohol-free mouthwash for studies of the oral microbiome

Yukiko Yano, Emily Vogtmann, Alaina Shreves, Stephanie Weinstein, Mia Gaudet, Amanda Black, Norma Diaz-Mayoral, Bari Ballew, Yunhu Wan, Xing Hua, Casey Dagnall, Amy Hutchinson, Kristine Jones, Kathleen Wyatt, Nicolas Wentzensen, Christian Abnet

Abstract
Oral bacteria play important roles in human health and disease. We previously validated the collection of oral wash specimens using ethanol-containing (EC) mouthwash (MW) for oral microbiome studies. However, there are practical considerations for future collections: (1) ethanol is flammable and not ideal for transportation/storage in large quantities, and (2) some individuals may avoid ethanol due to the burning sensation or personal/medical/religious/cultural factors. Here, we tested the validity of oral samples collected with alcohol-free (AF) MW. We evaluated the stability of AF MW samples stored up to 10 days and the comparability of AF and EC MWs on multiple microbiome metrics. Forty volunteers provided AF and EC MW samples. From each sample, one aliquot was immediately processed, and two additional aliquots were stored for 5 or 10 days. All samples were kept cold up to 5 days, after which samples were stored at room temperature. DNA was extracted and the V4 region of the 16S rRNA gene was amplified and sequenced, and processed using QIIME2. Temporal stability was high for both MWs based on intraclass correlation coefficients (ICCs) calculated for microbial community metrics, including alpha and beta diversity measures and relative abundances of the top four phyla and genera (ICCs >= 0.90). The comparability of the two MWs was also high, with ICCs for alpha and beta diversity metrics greater than 0.85. While the relative abundances of some taxa were significantly different, ICCs of the top four phyla and genera were high (> 0.75) for the comparability of the MWs. Both MWs are stable for 10 days, and AF MW performs similarly to EC MW for microbial analyses. AF MW is suitable for collecting oral samples and shipping by mail in epidemiological and clinical studies.
Presented by
Yukiko Yano
Institution
National Cancer Institute
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Available April 30 4:45-5:15pm EST

Quantifying Genome Copies of a Candidate Whole Cell E. coli Reference Material

Joy P. Dunkers, Sandra M. Da Silva, Kirsten H. Parratt, Samuel T. Hailemichael, Guilherme Pinheiro*, Stephanie L. Servetas, Jason G. Kralj and Nancy J. Lin

Abstract
Microbial whole cell reference materials quantified for number of cells and genomes are critically needed to provide a known input into microbial detection and characterization workflows, including evaluation and optimization of PCR and next generation sequencing (NGS) methods, assessment of the capability to count microbial cells, and comparison of DNA extraction efficiency between methods. Highly characterized whole cell reference materials (RMs) can normalize analytical workflows, enable method comparison, and challenge the entire process from sample collection to data analysis, ultimately increasing confidence in results provided to decision makers.

NIST is developing a viable whole cell RM as a surrogate for microbial targets of interest to assess workflow parameters such as sampling or DNA extraction efficiency, cell count, limit of detection, and bioinformatics pipelines. A nonpathogenic Escherichia coli (NIST0056) candidate RM is being characterized for total and viable cell number and genome copies/cell using flow cytometry, digital droplet PCR (ddPCR) and wide-field microscopy. 
Presented by
Joy Dunkers
Institution
NIST, *INMETRO (Brazil)
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Available August 30 12-5

Engineering Complex Whole Cell Microbial Reference Materials

S.L. Servetas, J. N. Dootz, M.E. Hunter, S. P. Forry, S. A. Jackson

Abstract
Microbiome analyses rely on complex workflows that include sample collection, sample storage, analyte extraction, analyte measurement (detection and/or quantification), data processing, data analysis, and reporting. As a result of the complex workflow and biases introduced at each step, comparison of data can be a challenge. While we are unlikely to find the perfect workflow to eliminate bias, developing standards that can help to characterize and understand the bias at each step will improve confidence in the results and comparability of the data. To this end, NIST is working to develop complex whole cell microbial mixtures to serve as reference materials for microbiome workflows. While not as complex as many real-world microbiome samples, these engineered consortia have the advantage of ground-truth. Working as the Independent Verification and Validation partner in DARPA’s Friend or Foe program, NIST has developed a method to design, construct, and characterize homogeneous microbial mixtures. To-date we have generated mixtures containing up to 80 strains characterized for composition and viability by metagenomics and culture. In addition to the development of microbial consortia, NIST now has a tunable method that can be used to target specific microbiomes, species, or traits (e.g. antimicrobial resistance) ensuring the material is fit-for-purpose. Furthermore, these mixtures can be added to different matrices such as soil or serum for added complexity. Since these mixtures contain live microbes, they can be used to evaluate metagenomic workflows such as microbiome characterization or pathogen detection but are also suitable for phenotypic assays including metabolomic analyses and cultivation. With the framework developed for designing complex microbial consortia, future work is focused on improving the characterization of the engineered communities by developing new microbial measurement tools using flow-cytometry, metabolomics, and additional molecular analyses.
Presented by
Stephanie L. Servetas <stephanie.servetas@nist.gov>
Institution
Complex Microbial Systems Group, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD
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Available Aug 31st 1:30 PM-1:55 PM (EDT); Aug 31st 5:00PM to 5:30 PM

“Comparative analysis of leaf-associated bacterial and fungal microbiomes of resistant and susceptible corn inbred lines subjected to Tar-spot disease”

Raksha Singh, Charles Crane and Stephen B. Goodwin

Abstract
Tar Spot is a foliar disease of corn, caused by the obligate biotrophic pathogen Phyllachora maydis (P. maydis), that has recently emerged as an economic concern for corn production in the United States. We investigated leaf microbiomes in relation to corn cultivars with differential tar spot symptoms under P. maydis infestation in natural field conditions. Leaf samples from sixteen corn cultivars were assessed for tar spot development and both bacterial and fungal microbiomes were characterized by paired-end sequencing on the Illumina MiSeq platform. Comparative metagenomics analysis of the leaf microbiomes revealed clear differences in overall microbial communities between resistant and susceptible corn cultivars. Bacterial communities in both resistant and susceptible lines were dominated by a single operational taxonomic unit (OTU) identified as Methylobacterium spp. The least-abundant OTU in resistant lines was in the genus Pseudomonas, whereas species of Microbacterium and Deinococcus were the least-abundant OTUs in susceptible lines. For fungal communities, genera Fusarium, Genolevuria, Zymoseptoria and Colletotrichum were least abundant whereas Papiliotrema and Alternaria were the most abundant OTUs in the resistant lines. By contrast, fungal communities in susceptible lines were dominated by two OTUs in the genera Puccinia and Sphaerellopsis. Further analyses of the differences in microbiome composition between susceptible and resistant cultivars could lead to the development of novel and more effective biological control agents against Tar Spot.
Presented by
Raksha Singh
Institution
Crop Production and Pest Control Research Unit, U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS), Purdue University campus, West Lafayette, IN 47907

Metagenomic NGS (mNGS) Performance Metrics Using an Organism-centric Approach

Jason G. Kralj, Stephanie L. Servetas, Samuel P. Forry, Scott A. Jackson

Abstract
Metagenomic Next-Generation Sequencing (mNGS) analyses applied to pathogen detection has potential for population-level characterization and tracking. Sequencing is generally agnostic to the DNA/RNA source, allowing the same data to be analyzed for >10k organisms (virus, bacteria, etc.) using different computational tools. The benefits are clear—outbreaks like SARS-CoV-2 could be retrospectively tracked, and health officials could respond quickly to rising levels of potential pathogens. However, mNGS-based diagnostics are also prone to false positives and misreporting of those can degrade confidence in the technology and public health administration in general. We have proposed evaluating mNGS performance on a per organism basis. This organism-centric approach has particularly strong potential for wastewater because it allows end users to know the technical limitations, especially when distinguishing species or strains; the organism load is low; and the results of an analysis can be actionable. Further, the technology can provide indications of novel pathogens in need of a closer look.
Presented by
Jason Kralj
Institution
NIST
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Available Aug 30, 31 1:30-2p