The stinky microbiome of stinky tofu

Contributed by Poyin Chen

Having just returned home from a two week trip to Taiwan, my mind is still on all of the delicious Taiwanese food I am now suddenly deprived of—particularly stinky tofu. And what better way to ease back into lab work than by pondering the scientific causes behind stinky tofu’s “flavor”?

Traditionally, stinky tofu is first prepared by fermenting a mixture of vegetables and meats in a brine solution. All organisms involved in this fermentation process are introduced by the organic matter in the brine, leading to differences in flavor profile by batch and production location. To understand the composition of the stinky tofu microbiome and metabolome, Gu et. al. collected stinky tofu and respective brine samples from different regions of China for DNA sequencing and analysis of biogenic amine (aka stinky flavor) composition. Microbes were identified based on their 16S sequences and biogenic amines were characterized using HPLC.

This study found that while the majority of the tofu and brine microbiomes were composed of bacteria (80%)—namely lactic acid bacteria (64%)—a significant portion of the microbiome also included fungi (20%). Due to the differences in microbiome composition between locations, there were observable location-specific differences in biogenic amine composition. Interestingly while lactic acid bacteria are known for their roles in flavor compound production, specific biogenic amine profiles could not be correlated to lactic acid bacteria composition in these samples. These results suggest that flavor production is more bacterial strain-specific rather than genus or species specific.

So what does this all mean?

  1. There are A LOT of bacteria, yeast, and other fungi in uncooked stinky tofu.
  2. The majority of these bacteria can also be found in fecal matter and cheese.
  3. Different stinky tofu producers will have slightly differently flavored stinky tofu.
  4. Stinky tofu is still delicious!

Reference: https://doi.org/10.1016/j.lwt.2017.08.085

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Congratulations Narine Arabyan, PhD

Narine Arabyan finished her PhD in the Weimer Micro Lab in October 2017! She will be moving to a fantastic position as a Post-doctoral NIH Fellowship – National Biosafety and Biocontainment Training Program (NBBTP) Fellow in January 2018. Narine’s dissertation was titled, “Glycan degradation, carbon starvation, and metabolism during Salmonella infection and non-culturability”. I wanted to highlight a specific achievement during her time in my lab, even though she was extremely helpful in the 100K Pathogen Genome Project, her manuscripts detailing the how Salmonella digests the host glycan to gain access to the host membrane is the most important. She published a series of experiments describing the specific glycosylhydrolases of Salmonella degrade the complex glycocalyx on epithelial cells that resulted in:  1) host glycan gene expression changes, 2) the transition to a fucose dominated glycan, and 3) how Salmonella requires a specific set of enzymes to gain access to the membrane for the T3SS to touch the host membrane. Congratulations, Narine. I’m anxiously waiting to see how you will flourish as a scientist!!

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UC San Diego Earth Microbiome Project with 27,000 samples

Contributed by Nguyet Kong

The Earth Microbiome have collected more than 27,000 samples from all around the world. They have analyzed the microbes and microbiomes and recently published a paper in Nature. The director for the Center for Microbiome Innovation, Dr. Rob Knight welcome the mini-symposium UCSD hosted on November 1, 2017, and reported the project in the Nature publication where the work started in 2010 with more than 300 researchers involved. They wanted to produce the first reference database of bacteria colonizing the world.

The Earth Microbiome Project goal was to sample as many communities as possible to get a better understanding of the microbes and the environment. The researchers have noticed the microbiomes of the hosts are more similar to each other than the environment they live in. The sample type includes humans, animals, and plants from the Arctic to Antarctic. The bacterial diversity was evaluated looking at 16S rRNA genes and have identified more than 300,000 unique microbial 16S rRNA sequences with 90% not having a match with any current database.

References:

https://cse.ucsd.edu/about/news/earth-microbiome-project-releases-preliminary-findings-based-27000-samples

http://ucsdnews.ucsd.edu/feature/mapping-earths-microbiome

https://www.nature.com/articles/nature24621

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Thinking beyond library construction

Contributed by Carol Huang

We have recently introduced a newer version of the Nanopore sequencing device, MinION MK 1B into the laboratory. It’s a portable, real-time sequencing device.

The Nanopore MinION sequencing platform has great advanced features. Upon reach objectives, it can generate 10 to 20 GB DNA sequencing data from each flow cell. With different fragmentation options ultra-long reads, hundreds of kb in length, were made possible. Since I have been engaged in NGS library construction for many years, the more impressive feature of this is the time saved on sequencing library preparation in comparison with other platforms. Sequencing libraries can be made in less than an hour using the library kit we picked, while to make long-read library could take 2 days by using other sequencing platforms. We were able to pick the sequencing data set from the first five minutes of sequencing run and identified the serotype of the microbe tested. These features will be very practical in the field of pathogen infection control.

One of the key factors to ensure high-quality data outcome is the quality of input materials, RNA, DNA, their integrity, and purity. Purity, 260/280 and 260/230 ratios, affects enzyme efficiency during library preparation, organic residuals would interfere with chemical reaction and might damage nanopore membranes. There are 512 nanopore channels available to capture library fragments. Small fragments always get captured, occupy nanopore channels first, which would prevent those bigger fragments from being sequenced and furthermore reduces sequencing efficiency. So for the best results, we need to have high purity input DNA /RNA and keep narrow final library size distribution, eliminate outsized final library fragments, small size in particular.

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CLC Genomics Workbench as a Tool Next Generation Sequencing Data

Contributed by Nguyet Kong

CLC Genomics Workbench was designed to assist with many different Next Generation Sequencing bioinformatics applications from RNAseq, Transcriptomics, Metagenomics, Epigenomics and de novo assembly. The CLC Genomics Workbench is a user-friendly software that is easily used by scientist in the laboratory. The software allows to set up custom genomics workflow to fast-track data analysis with just one button. Since the workflow can be custom, it can also be shared with other groups. For example, the workflows can include control steps, adapter trimming, read mapping, variant detection, multiple filtering and annotation steps into the pipeline. The workflows can be run in batches, so it allows to process a large number of samples. In addition to different Next Generation Sequencing applications, CLC Genomics workbench is a phylogenetic tool and it allows BLAST searches, design PCR primers, and many other molecular biology developments.

CLC Genomics Workbench

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Where are the receptors?

Contributed by Poyin Chen

The first step in bacterial interaction with host cells is host recognition, followed by host adhesion. All of these initial interactions take place at the host cell surface; however, we have only scratched the surface of what is known about bacterial-host membrane interactions. This host recognition is usually initiated by a bacterial protein transiently binding to a transmembrane host protein. The association begins with receptors on the host cell binding ligands on the microbial cell to form a partnership that initiates responses in both cells. Methods to determine the specific cognate partnerships are lacking. The transient nature of this initial interaction is a main contributor to our lack of understanding in the initial interactions between a pathogen and its host. One method to elucidate these interactions is by covalently linking the bacterial protein to the host protein during interaction so that we can purify these receptor-ligand complexes for further study without disrupting their interaction. This method was developed by the Weimer lab to discover cognate host-microbe receptor/ligand pairs using a covalent cross-linking strategy with whole cells. We have been successfully implemented this method to identify novel bacterial-host receptor/ligand partnerships, of which many partnerships have been validated by independent research groups. The identification of these protein pairings allows us to define biologically important events that are triggered during association of the microbiome. Furthermore, knowing what these pairings are is critical in defining the initiating signal from the host membrane that results in pathology or commensal association.

Stay tuned for the publication!

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A new class of antimicrobial found in human mother’s milk

Contributed by Nguyet Kong

A study from Vanderbilt University found that mothers milk doesn’t just give babies nutrients, but the sugars help protects them from bacterial infections, making this a new class of antimicrobial. Mother’s milk is consisting of different protein, fats, and sugars. This study has discovered that some carbohydrates possess antibacterial properties that are non-toxic.

The results were presented at the American Chemical Society in Washington DC on August 20th. The group started to look at different ways to defeat bacterial infections, and not look at the protein but look at the role and functions of the sugars, which is less known. The researchers collected human milk carbohydrates, also known as oligosaccharides, and profiled them using mass spectrometry. Then added the compounds to strep cultures to observe the outcome. They have found the sugars from the five samples produce a different outcome from killing the entire strep colony to breaking down the biofilm layer the bacteria produced to protect themselves. Also, the study shows that the milk sugar antimicrobial activity extends to other bacterial infections.

References

https://www.sciencedaily.com/releases/2017/08/170820075008.htm

Dorothy L. Ackerman, Ryan S. Doster, Jörn-Hendrik Weitkamp, David M. Aronoff, Jennifer A. Gaddy, Steven D. Townsend. Human Milk Oligosaccharides Exhibit Antimicrobial and Antibiofilm Properties against Group B Streptococcus. ACS Infectious Diseases, 2017; 3 (8): 595 DOI: 10.1021/acsinfecdis.7b00064

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The gut, the belly, the gastrointestinal tract, the second brain?!

Contributed by Poyin Chen

Our gastrointestinal (GI) tract has the largest concentration of nerves, second only to the brain. Additionally, the vagus nerve runs through our GI tract. It wasn’t until recent years that researchers began to seriously consider the impact of GI homeostasis on altered brain functions such as Alzheimer’s disease and autism. Much of the gut microbiota impact on neural function is due to metabolic functions of the microbiota. Nutrients are made available by microbial metabolism that would otherwise not be available for absorption by our bodies. In addition to metabolism, our gut microbiota produces, and cause host cells to produce, molecules such as NOS that act as signaling molecules to local nerves, allowing for a conduit between the brain and the GI tract. Toxins produced by enteric bacteria can also induce signaling through host receptors such as gangliosides. Additionally, enteric pathogens can cause changes to hormone production, thereby altering signaling through the local nerve cells. This is currently a newly developing field and while specific bacterial/gut/nerve interactions have not been identified, microbiome studies have shown that there are definite differences between the gut microbiome profile of healthy people and patients experiencing neurological perturbations.

Reference

PMCID: PMC1773471

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Streptococcus might provoke colon cancer

Contributed by Nguyet Kong

In a recent PLOS paper, researchers from Texas A&M found a bacterium, Streptococcus gallolyticus might lead to colon cancer by assisting with tumor growth that might cause more cancer-related deaths. Streptococcus has been known that there is an association with cancer, but little is known about Streptococcus role in that association. Dr. Yi Xu research group studied Streptococcus in cell culture, animal model and tissues from human tumors. The research shows that the methods complement each other. The cell culture model shows that in presence of bacteria, it promotes proliferation in the cancer cells, but the cell proliferation depends on the growth phage of Streptococcus when in contact with the cancer cells. Also, the cell culture work shows a production of Beta-catenin following the present of Streptococcus, so this might be showing that the bacteria pathway is causing cancer. In the animal models, Streptococcus develop more tumors have more beta-catenin and other sign of cancer. In the tissue study from human patients, they found most were infected with Streptococcus, which was unknown before. These results show that a tumor role of Streptococcus is involved specific bacteria and host factors and have important clinical implications.

http://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1006440

https://www.sciencenews.org/article/these-bacteria-may-egg-colon-cancer?tgt=nr

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Herpesvirus Latency Bacterial Protection

Contributed by Azarene Foutouhi

Herpesviridae is a large family of Herpesviruses which are named for their tendency to result in recurrent infections. After clearance of lytic infections, these viruses enter latency, a mechanism which allows them to resist elimination and establish recurrent lifelong infections. More than 90% of people have become infected with one of these viruses, and latent forms result in most people.

While studying host response to latent Beta and Gamma-Herpesvirus infections, Barton et al. found that Herpesvirus latency confers protection from bacterial infection. In fact, mice latently infected with the Gammaherpesvirus HV68 had a nearly complete survival rate post L. monocytogenes challenge, while all control or mice with acute HV68 infections died by day 5.

MacDuff et al. found similar results while using HOIL-1 KO mice, and found that these genetically immunodeficient mice were rescued from Listeria lethality by latent HV68 infection. The HV68 latency protected the HOIL-1 KO mice from a dose of Listeria 1000-fold higher than the LD50 for HV68 negative mice, suggesting the metagenome (including virome) can help link phenotype and genotype.

Barton et al. repeated their study on the effect of HV68 latency on bacterial infection by depleting the CD4+ and CD8+ cells of latently infected and Listeria inoculated mice prior to Listeria challenge. The Listeria immune mice showed levels of Listeria equal to that of control, as the lack of CD4+ and CD8+ cells rendered them unprepared to combat the infection. However, even when depleted of CD4+ and CD8+ cells the HV68 latently infected mice showed levels of listeria similar to that of the undepleted Listeria immune mice, suggesting HV68 latency confers protection in an unexpected way. These data suggest latent herpesvirus infections could be offering the host long-term protection (up to three months) from bacterial infection independently of the adaptive immune system.

  1. Barton, Erik S., Douglas W. White, and Herbert W. Virgin. “Herpesvirus Latency and Symbiotic Protection from Bacterial Infection.” Viral Immunology22.1 (2009): 3–4. PMC. Web. 11 July 2017.
  2. MacDuff, Donna A et al. “Phenotypic Complementation of Genetic Immunodeficiency by Chronic Herpesvirus Infection.” Ed. Stephen P Goff. eLife4 (2015): e04494. PMC. Web. 11 July 2017.

 

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