Rlegaspi Week 10

Shewanella oneidensis

Our Gene Database Testing Report

Group Paper - File:Final Report 20151218 2 HMH.docx

Group Members

• Coder: Mary Alverson
• GenMAPP User & Project Manager: Ron Legaspi
• Quality Assurance: Josh Kuroda
• GenMAPP User: Emily Simso

Important Links

Our Deliverables

Gene Database Project Links
Overview	Deliverables	Reference Format	Guilds	Project Manager	GenMAPP User	Quality Assurance	Coder
			Teams	Heavy Metal HaterZ	The Class Whoopers	GÉNialOMICS	Oregon Trail Survivors

Individual Journal Entries
Mary Alverson	Week 11	Week 12	Week 14	Week 15
Emily Simso	Week 11	Week 12	Week 14	Week 15
Ron Legaspi	Week 11	Week 12	Week 14	Week 15
Josh Kuroda	Week 11	Week 12	Week 14	Week 15

Annotated Bibliography for Heavy Metal HaterZ species Shewanella oneidensis

Electronic Lab Notebook

Link to http://www.nature.com/nbt/journal/v20/n11/abs/nbt749.html

• On your individual journal entry pages, you will keep an electronic lab notebook that details how you conducted your search, along with the results of your search.
• On your team page (see shared assignment below), you will combine your results with your teammates into one final, ranked bibliography. Specifically, you need to search the literature/biological databases for the following:
  1. The journal article which describes the results of the whole genome sequencing for your species. (Note that you will be giving a journal club presentation on this article for your Week 11 assignment.)
     • Use a keyword search for each of these databases/tools and answer the following:
       • PubMed
         • What original keyword(s) did you use? How many results did you get?
           • Original keywords used was "Shewanella oneidensis genome"; number of results found was "185."
         • Which terms in which combinations were most useful to narrow down the search? How many results did you get after narrowing the search?
           • After original keyword search, I used "Shewanella oneidensis genome sequence" to attempt to narrow down my search; however, the number of results was reduced only to "128."
       • Google Scholar
         • What original keyword(s) did you use? How many results did you get?
         • Which terms in which combinations were most useful to narrow down the search? How many results did you get after narrowing the search?
       • Web of Science
         • What original keyword(s) did you use? How many results did you get?
         • Which terms in which combinations were most useful to narrow down the search? How many results did you get after narrowing the search?
     • Use the advanced search functions for each of these three databases/tools and answer the following:
       • PubMed
         • Which advanced search functions were most useful to narrow down the search? How many results did you get?
           • On PubMed, I used the advanced search function to limit my search of the keywords to Title/Abstract. This reduced the number of results down to "14."
       • Google Scholar
         • Which advanced search functions were most useful to narrow down the search? How many results did you get?
       • Web of Science
         • Which advanced search functions were most useful to narrow down the search? How many results did you get?
     • Each of the references in your bibliography needs to have the following information (an example is given in another section below):
       • The complete bibliographic reference in the APA style (see the Writing LibGuide) You will be using one of three formats, “journal article from database (with DOI), journal article from database (no DOI) or journal article in print (no DOI).)
       • The link to the abstract from PubMed.
       • The link to the full text of the article in PubMedCentral.
       • The link to the full text of the article (HTML format) from the publisher web site.
       • The link to the full PDF version of the article from the publisher web site.
       • Who owns the rights to the article?
         • Does the journal own the copyright?
         • Do the authors own the copyright?
         • Do the authors own the rights under a Creative Commons license?
         • Is the article available “Open Access”?
       • What organization is the publisher of the article? What type of organization is it? (commercial, for-profit publisher, scientific society, respected open access organization like Public Library of Science or BioMedCentral, or predatory open access organization, see the list of) (Open Access Scholarly Publishers Association Members) here.
       • Is this article available in print or online only?
       • Has LMU paid a subscription or other fee for your access to this article?
  2. Use the genome sequencing article you found to perform a prospective search in the ISI Web of Science/Knowledge database.
     • Give an overview of the results of the search.
       • How many articles does this article cite?
       • How many articles cite this article?
       • Based on the titles and abstracts of the papers, what type of research directions have been taken now that the genome for that organism has been sequenced?
  3. Each person needs to find 1-2 potential journal articles that refer to public/published microarray data for your species than are different than what your teammates have found. Thus, each team should find 4-8 articles. If you cannot find a minimum of four articles, please let the instructors know right away.
     • The experiments must be measuring gene expression aka transcriptional profiling or transcription profiling by array. Microarrays can also be used for other types of experiments, but these won't be suitable for analysis.
       • A minimum of three biological replicates need to have been performed for each condition measured (so that we can do statistical analysis of the data).
       • The experiment performed is a competitive hybridization (also known as a "two-color" or "two-channel") experiment where one sample was labeled with the Cy3 dye and the other sample was labeled with the Cy5 dye (i.e., not an "Affymetrix" chip).
       • The control sample needs to be derived from mRNA and not genomic DNA.
       • The gene IDs used on in the data files must match the gene IDs that are cross-referenced by UniProt (Dr. Dahlquist can help with this one).
     • We recommend that you begin by searching for the data, and then by finding the journal article related to the data. State which database you used to find the data and article.
     • State what you used as search terms and what type of search terms they were.
     • Give an overview of the results of the search.
       • How many results did you get?
       • Give an assessment of how relevant the results were.
     • For each article, please provide all of the same information that you provided for the genome article above.
     • In addition, you must also link to the web site where the microarray data resides.
       • For each of the microarray articles/datasets, answer the following:
         1. What experiment was performed? What was the "treatment" and what was the "control" in the experiment?
         2. Were replicate experiments of the "treatment" and "control" conditions conducted? Were these biological or technical replicates? How many of each?
       • Remember, microarray data is not centrally located on the web. Some major sources are:
         • EBI ArrayExpress (recommended)
           • Click on the link to "Browse ArrayExpress"
           • Use the drop down "Filter Search Results" to filter datasets by your organism, by "RNA assay" and "Array assay" to narrow your search.
         • NCBI GEO
         • Stanford Microarray Database
         • PUMAdb (Princeton Microarray Database)
         • In addition, microarray data can sometimes be found as supplementary information with a journal article or on an investigator's own web site.
     • On your team wiki page, compile the list of citations, links, and answers to questions, ranking the papers one through eight in order of preference for using the dataset for your project. The instructors will review your results to make sure that the data are suitable for the project before you move forward with the analysis.

Ron's Annotated Bibliography

Genome Paper

Heidelberg, J. F., Paulsen, I. T., Nelson, K. E., Gaidos, E. J., Nelson, W. C., Read, T. D., ... & Fraser, C. M. (2002). Genome sequence of the dissimilatory metal ion–reducing bacterium Shewanella oneidensis. Nature biotechnology, 20(11), 1118-1123. doi:10.1038/nbt749

• The abstract from PubMed.
• The full text of the article in PubMedCentral : Not available.
• The full text of the article from the publisher web site. (The HTML version was not available.)
• The full PDF version of the article from the publisher web site.
• Who owns the rights to the article?
  • The Nature Publishing Group, which is the publisher of this article, according to this site.
• Do the authors own the rights under a Creative Commons license?
  • Yes, according to this site.
• Is the article available “Open Access”?
  • According to this site, the article is available "Open Access".
• What organization is the publisher of the article? What type of organization is it?
  • According to the site above, this publisher is a "Professional OA Publisher (Large)".
• Is this article available in print or online only?
  • Online only. It was published online in November, 2002.
• Has LMU paid a subscription or other fee for your access to this article?
  • No.
• We performed a search in the ISI Web of Science/Knowledge database by typing in the title "Genome sequence of the dissimilatory metal ion–reducing bacterium Shewanella oneidensis" to the search bar.
  • Three articles came up as results. The first two articles title's did not exactly match, and were cited under 15 times each. The third article was the article we were searching for.
• How many articles does this article cite?
  • This article has 41 cited references within the Web of Science Core Collection, according to this site.
• How many articles cite this article?
  • It has been cited 1079 times in all databases, and 426 within the Web of Science Core Collection, according to this site.
• Based on the titles and abstracts of the papers, what type of research directions have been taken now that the genome for that organism has been sequenced?
  • Examples of titles that reference the genome paper:
    • Environmental genome shotgun sequencing of the Sargasso Sea
    • Deciphering the evolution and metabolism of an anammox bacterium from a community genome
    • Genome of Geobacter sulfurreducens: Metal reduction in subsurface environments
    • More can be found by clicking this link.
  • These papers include studying within in the species, finding out the genomes of other species, as well as the metabolic versatility of microorganisms and metal ion reduction in environments. This shows that a sequenced genome can aide in experiments of many kinds.

Microarray Paper: E-GEOD-15657: Charania et. al (2009)

Charania, M. A., Brockman, K. L., Zhang, Y., Banerjee, A., Pinchuk, G. E., Fredrickson, J. K., Beliaev, A.S., Saffarini, D. A. (2009). Involvement of a Membrane-Bound Class III Adenylate Cyclase in Regulation of Anaerobic Respiration in Shewanella oneidensis MR-1 . Journal of Bacteriology, 191(13), 4298–4306. http://doi.org/10.1128/JB.01829-08

• Link to abstract on PubMed
• Link to full text of article on PMC
• Link to Full Text from publisher.
• Link to PDF Version from publisher.
• The American Society for Microbiology owns the copyright. The article is not open-access.
• The publisher is the American Society for Microbiology. It is a scientific society.
• This article is available in the printed and on-line journals.
• LMU has not paid for my access.
• This article has 39 citations.
• According to the Web of Science, this article is cited by 29 other articles.
• Looking at the titles of the other articles/abstracts, it seems like most research has been focused on catabolic and regulatory pathways of Shewanella oneidensis, along with the two-component system that regulates nitrogen (nitrite and nitrate) respiration.
• Link to Raw microarray data
• Link to Processed microarray data
• The experiment looked to find more information about the cyclic AMP receptor protein (CRP) within the membranes of Shewanella oneidensis that regulates the respiration of fumarate, dimethyl sulfoxide (DMSO), or Fe(III); thus, manipulation of the particular genes were done in order to observe how gene deletions would affect the anaerobic respiration.
• A total of six expression profiles of Shewanella oneidensis samples (wild-type and mutant strains); 2 wild-type, 2 CRP deletion mutants, cyaC deletion mutants.
• Datasets can be found at this link.