Exploring the Human Microbiome: A Short Course for Students, Slides of Genomics

A short course on the human microbiome for students, including background information, key concepts, and hands-on activities. Students will learn about the microbiome through discussions of current science and experiments, with a focus on analyzing real microbiome data using web-based tools. The course aims to inspire students to further explore the hidden communities of microbes that shape human health and the environment.

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2021/2022

Uploaded on 08/05/2022

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NHGRI Short Course in Genomics
2021
Microbiome Virtual Lab Exploration!
Joshua Farr, M.Ed. NBCT
Science Department Team Lead
Mica Mountain High School
Sean P. Conlan, Ph.D.
Associate Investigator Microbial Genomics Section
Translational and Functional Genomics Branch
National Human Genome Research Institute
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NHGRI Short Course in Genomics

Microbiome Virtual Lab Exploration!

Joshua Farr, M.Ed. NBCT

Science Department Team Lead Mica Mountain High School

Sean P. Conlan, Ph.D.

Associate Investigator Microbial Genomics Section Translational and Functional Genomics Branch National Human Genome Research Institute

Forward

“We can compare the gut of a person with inflammatory bowel disease to a dying coral reef or a fallow field: a battered ecosystem where the balance of organisms has gone awry.” (Ed Yong, I Contain Multitudes: The Microbes Within Us and a Grander View of Life) This quote from Ed Yong illustrates how the study of the human microbiome is comparable to the way in which ecologists study complex communities. While people are probably most familiar with the human microbiome, every ecological niche on Earth has its own collection of distinctive microorganisms. This includes coral reefs and barnyard soils, as well as hostile environments like hot springs or acidic outflows from mining operations. These microbial communities are critical to important planet-wide processes like carbon sequestration, nitrogen fixation and the breakdown of toxic chemicals. These wildly differing environments and functions reflect another important feature of the microbiome: diversity. Despite a bias for focusing on the bacterial component of the microbiome, microbial communities are complex and draw organisms from across the tree of life, including fungi, viruses, protists and metazoans. Bacteria are often the focus of microbiome studies because microbiologists have developed robust tools for growing and identifying bacteria. Part of this stems from our frequently adversarial relationship with bacteria. Pathogens like Yersinia pestis, the causative agent of the Black Plague, have fundamentally shaped human history. The careers of famous microbiologists like Louis Pasteur (1822-1895), Robert Koch (1843-1910) and Alexander Fleming (1881-1955) were built on understanding and eradicating bacterial infections. While modern life wouldn’t be possible without medical advances to treat bacterial infections, it’s important to understand that bacteria far more often play a beneficial role in the world. Unlike pathogenic bacteria, which usually act alone, beneficial bacteria often function as a community made up of tens or hundreds of different microbes. Consortia of bacteria (and also fungi) are indispensable for making bread, cheese, yogurt, kimchi and many other foods. The microbiome is important to human health and the development of a strong immune system. Microbial communities are critical for nitrogen fixation and the health of our crops and livestock. This collection of lesson plans is designed to introduce students to the microbiome through discussions of current science and hands-on experiments.

  • A Glimpse into the Microbiome provides an overview of the microbiome starting with the ecological paradigms that defined early microbiome science and finishing with the impact of the microbiome on human health.
  • Exploring the Microbiome and Its Connection to Metabolic Syndrome offers a detailed look at the current science linking the microbiome to a constellation of health problems called metabolic syndrome. Studies connecting obesity, diabetes and hypertension to the microbiome are some of the most frequently cited examples of microbiome-mediated health conditions.
  • You Are What You Eat — Exploring the Microbiome Through Inquiry-Based Labs teaches students important concepts like the scientific method, sterile technique and reproducibility.
  • Microbiome Virtual Lab Exploration! gives student the opportunity to analyze real microbiome data using web-based analysis tools. Taken together, these lesson plans can be adapted to a variety of settings, student populations and educational goals. We hope students will be inspired to learn more about the hidden communities of microbes that shape human health and the environment. Sean P. Conlan, Ph.D. Associate Investigator Microbial Genomics Section Translational and Functional Genomics Branch National Human Genome Research Institute

HS-LS4-1. Communicate scientific information that common ancestry and biological evolution are supported by multiple lines of empirical evidence.

  • Student-friendly language: Students should be able to use molecular evidence for comparing known and unknown organisms yielding taxonomic info (KPCOFGS). HS-LS3-1. Ask questions to clarify relationships about the role of DNA and chromosomes in coding the instructions for characteristic traits passed from parents to offspring.
  • Student-friendly language: Students connect that all organisms contain a genome made of DNA or RNA, and this commonality allows us to compare one organism to another. HS-LS3-3. Apply concepts of statistics to explain the variation and distribution of expressed traits in a population.
  • Student friendly language: Students should be capable of using statistical tools such as mean, median, mode, and standard deviation to graphically visualize data.

Materials and handouts

For the teacher

  • Grice, E. and Segre, J. (2012). "The Human Microbiome: Our Second Genome." Annual Review of Genomics and Human Genetics 13. pp. 151-70. 10.1146/annurev-genom-090711-163814.
  • Online access to databases: Teachers may need to ask their tech departments for access prior to attempting this lesson. Additional KWL charts may help students exhibit learned material compared to potential research project or extension projects. For the student
  • Select an intro video about microbiomes or play both.
  • The Hidden World of Microbiomes
  • The Invisible Universe of the Human Microbiome NPR version
  • "How to Sequence the Human Genome" TEDEd video, which may be useful for students. This activity is acts on the assumption that students have been exposed to or have prior knowledge of genome sequencing: https://ed.ted.com/lessons/how-to-sequence-the-human-genome-mark-j-kiel
  • Figure 2 from “The human microbiome: our second genome" (Grice and Segre, 2012) printed in black and white ready for students to color code (possible pre-lab homework assignment to get students thinking about the diversity of organisms).
  • Sequence data tool RDP Classifier: https://rdp.cme.msu.edu/classifier/classifier.jsp
  • Access to PubMed: https://www.ncbi.nlm.nih.gov/pubmed/
  • Access to BLAST: https://blast.ncbi.nlm.nih.gov/Blast.cgi
  • How to use BLAST video tutorial: https://www.youtube.com/watch?v=HXEpBnUbAMo

Activity background

One of the most basic questions a microbiome researcher can ask is: “What is in my sample?” There are many ways to answer this question, and the method you choose will determine how much biological detail you can elicit. The microbiome refers to the collection of bacteria, fungi, viruses, protists and metazoans in a sample, but researchers are often specifically interested in the bacterial component. Identification of bacteria is based on a taxonomic hierarchy. For instance, most people are familiar with the bacteria Escherichia coli. The bacteria E. coli is in the family Enterobacteriaceae and the phylum Proteobacteria; the full taxonomic hierarchy for E. coli is: Bacteria (Kingdom) Proteobacteria (Phylum) Gammaproteobacteria (Class) Enterobacterales (Order) Enterobacteriaceae (Family) Escherichia (Genus) Escherichia coli (Species) While taxonomic levels often stop at “species," additional taxonomic levels that allow scientists to categorize bacteria in finer detail (e.g., strains). The level of detail you can get from a microbiome experiment depends on the experimental method. For instance, figure 2 from Maiden et al., Nature Reviews 2013 (PMID: 23979428) (Maiden, Martin C. J., et al. (2012) “MLST revisited: the gene-by-gene approach to bacterial genomics.” Nature Reviews Microbiology, 11(10), pp. 728–736., doi:10.1038/nrmicro3093.) shows the level of resolution provided by various sequencing experiments. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980634/figure/F2/ In the experiment below, you will receive 16S rRNA sequence data. These sequences are derived from a fragment of the 16S rRNA gene and can be easily read with standard DNA sequencers. From the figure above you can see that short 16S rRNA sequences allow you to identify bacteria to the level of genus; full-length 16S rRNA sequences often allow classification to the species level. For those who are interested, the 16S rRNA is an RNA molecule that forms part of the structure of the bacterial ribosome, the molecular machine used to synthesize protein from mRNA. The 16S rRNA has

In-class example

This is an example of the RDP Classifier output for sequences from a soil sample (associated with this paper: https://www.ncbi.nlm.nih.gov/pubmed/17041161, sequence accessions DQ827724:DQ829627). Soil is complex and has a lot of different bacterial taxa. A small section of the RDP report is below While this may look somewhat complicated, focus on the genus-level classifications. The sequences for the full analysis are included in the DOK03 file should you want to use this example in class.

There are many options for adding to this:

  1. Students can use PubMed (https://www.ncbi.nlm.nih.gov/pubmed/) to download the article instead of giving it to them. Literature searching and familiarity with PubMed is an important skill. A teacher may decide to take more time with students to do article searching, or use it as a follow-up lesson building on the research questions developed by students.
  2. Students can BLAST some sequences to try to figure out what they are below the genus level. For instance, the sequences below are full-length 16S rRNA sequences from examples of human pathogens. Access https://blast.ncbi.nlm.nih.gov/Blast.cgi, click Nucleotide BLAST, paste one of the sequences from below into the query box and hit “BLAST."

S ttttatggagagtttgatcctggctcaggatgaacgctggcggcgtgcctaatacatgcaagtcgagcgaacggacgaga agcttgcttctctgatgttagcggcggacgggtgagtaacacgtggataacctacctataagactgggataacttcggga aaccggagctaataccggataatattttgaaccgcatggttcaaaagtgaaagacggtcttgctgtcacttatagatgga tccgcgctgcattagctagttggtaaggtaacggcttaccaaggcaacgatgcatagccgacctgagagggtgatcggcc acactggaactgagacacggtccagactcctacgggaggcagcagtagggaatcttccgcaatgggcgaaagcctgacgg agcaacgccgcgtgagtgatgaaggtcttcggatcgtaaaactctgttattagggaagaacatatgtgtaagtaactgtg cacatcttgacggtacctaatcagaaagccacggctaactacgtgccagcagccgcggtaatacgtaggtggcaagcgtt atccggaattattgggcgtaaagcgcgcgtaggcggttttttaagtctgatgtgaaagcccacggctcaaccgtggaggg tcattggaaactggaaaacttgagtgcagaagaggaaagtggaattccatgtgtagcggtgaaatgcgcagagatatgga ggaacaccagtggcgaaggcgactttctggtctgtaactgacgctgatgtgcgaaagcgtggggatcaaacaggattaga taccctggtagtccacgccgtaaacgatgagtgctaagtgttagggggtttccgccccttagtgctgcagctaacgcatt aagcactccgcctggggagtacgaccgcaaggttgaaactcaaaggaattgacggggacccgcacaagcggtggagcatg tggtttaattcgaagcaacgcgaagaaccttaccaaatcttgacatcctttgacaactctagagatagagccttcccctt cgggggacaaagtgacaggtggtgcatggttgtcgtcagctcgtgtcgtgagatgttgggttaagtcccgcaacgagcgc aacccttaagcttagttgccatcattaagttgggcactctaagttgactgccggtgacaaaccggaggaaggtggggatg acgtcaaatcatcatgccccttatgatttgggctacacacgtgctacaatggacaatacaaagggcagcgaaaccgcgag gtcaagcaaatcccataaagttgttctcagttcggattgtagtctgcaactcgactacatgaagctggaatcgctagtaa tcgtagatcagcatgctacggtgaatacgttcccgggtcttgtacacaccgcccgtcacaccacgagagtttgtaacacc cgaagccggtggagtaaccttttaggagctagccgtcgaaggtgggacaaatgattggggtgaagtcgtaacaaggtagc cgtatcggaaggtgcggctggatcacctcctttct S atcatkgctcabgatgaacgctggcggcgtgcctaacacatgcaagttgagcgatttacttcggtaaagagcggcggacg ggtgagtaacgcgtgggtaacctaccctgtacacacggataacataccgaaaggtatgctaatacgggataatatatttg agaggcatctcttgaatatcaaaggtgagccagtacaggatggacccgcgtctgattagctagttggtaaggtaacggct taccaaggcgacgatcagtagccgacctgagagggtgatcggccacattggaactgagacacggtccaaactctacggga ggcagcagtggggaatattgcacaatgggcgaaagcctgatgcagcaacgccgcgtgagtgatgaaggccttcgggtcgt aaaactctgtcctcaaggaagataatgacggtacttgaggaggaagccccggctaactacgtgccancagccgcggtaat acgtagggggctagcgttatccggatttactgggcgtaaagggtgcgtaggcggtctttcaagtcaggagtgaaaggcta cggctcaaccgtagtaagctcttgaaactgggagacttgagtgcaggagaggagagtggaattcctagtgtagcggtgaa atgcgtagatattaggaggaacaccagttgcgaaggcggctctctggactgtaactgacgctgaggcacgaaagcgtggg gagcaaacaggattagataccctggtagtccacgctgtaaacgatgagtactaggtgtcgggggttaccccttcggtgcc gcactaacgcattaagtactccgcctgggaagtacgctcgcaagagtgaaactcaaaggaattgacggggacccgcacaa gtagcggagcatgtggtttaattcgaagcaacgcgaagaaccttacctaagcttgacatcccaatgacatctccttaatc ggagagttcccttcggggacattggtgacaggtggtgcatggttgtcgtcagctcgtgtcgtgagatgttgggttaagtc ccgcaacgagcgcaacccttgtctttagttgccatcattaagttgggcactctagagagactgccagggataacctggag gaaggtggggatgacgtcaaatcatcatgccccttatgcttagggctacacacgtgctacaatgggtagtacagagggtt gccaagccgtaaggtggagctaatcccttaaagctactctcagttcggattgtaggctgaaactcgcctacatgaagctg gagttactantaatcgcaatcaaaatgctgcggtgaatgcgttcccggggtcttntacacaccgcccgtcacaccacggg agttggaaacgcccgaagccgaattatctaaccttttggaanaantcstcgaaagtggaatcaataacttgggtnaantc gtaacaaggtaaccgtatcggaaggt

Closure

Students have been asked to connect many things and explore many new ideas. Ideas for closure:

  • Using a set of newly learned terminology, link them into a written “Exit Ticket” to leave class: bacteria, genome, database, microbiome, etc. The teacher can decided or ask students to come up wtih a list that they write on a board. Students can then provide input about how to connect these terms as a class or individually. The teacher may want to create a short list of words to practice with all students and then a “homework list” for students to work on and practice with outside of class. Encouragement should be placed on connections, use of arrows, multiple colors, emojis or illustrations to help the students make sense of these complex terms.
  • Visually draw out and explain on a whiteboard (or create a short video) a flow chart of how to use databases and compare organisms.
  • Explain three things you’ve learned about the human microbiome.
  • Write down a question about something you still don't know about the human microbiome.
  • These last few items could be combined in a Know, Want to Know and Learned chart (often called a KWL chart).

Handout options are attached below:

  • Students can use the black and white version. Students could color code specific regions and have a record of a visual in their class notebook.
  • Teachers can use the color version to project or put on screen after students color code or to help guide students with understanding.

Figure 2. Genus- and phylum-level classification of bacteria colonizing a composite subject, showing that human microbiome diversity is dependent on the site sampled. Sites in the oral cavity share greater similarity than other types of sites, such as the skin, vagina, and gut. Data derived from the NIH Human Microbiome Project study (http://commonfund.nih.gov/hmp).