{"id":339,"date":"2016-08-19T15:29:30","date_gmt":"2016-08-19T15:29:30","guid":{"rendered":"http:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/?page_id=339"},"modified":"2016-09-02T01:17:33","modified_gmt":"2016-09-02T01:17:33","slug":"mycobacterium-smegmatis","status":"publish","type":"page","link":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/projects\/infectious-disease\/mycobacterium-smegmatis\/","title":{"rendered":"Growth Rates of Mycobacterium smegmatis<\/em> Under Various Conditions"},"content":{"rendered":"

by Christine D. Pham<\/p>\n

Background\u00a0<\/strong>
\nMycobacterium tuberculosis<\/em> (MTB) is a pathogenic bacterium that causes tuberculosis, which affects about one-third of the world\u2019s population. Mycobacterium smegmatis<\/em> is a non-pathogenic bacterium that is used in research related to MTB, as it has many similarities, yet a relatively fast doubling time.\u00a0M. smegmatis <\/em>is approximately\u00a03.0-5.0 um and is the model organism for mycobacterial species. M. smegmatis shares the same cell wall structure as MTB and other mycobacterial species.<\/p>\n

Experiment<\/strong>
\nM.\u00a0<\/i>smegmatis<\/i> is closely related to MTB and studying its growth can help further the research of MTB. The mutant used in this experiment, knockout 4718, has a transcription factor that was originally identified from the MTB regulatory network model. MSMEG_4718 <\/i>regulates genes involved in the synthesis of cell wall lipids. MSMEG_4718 <\/i>was deleted from M. <\/i>smegmatis<\/i> and is predicted to controls 10 genes that are likely involved in the metabolism of branched-chain amino acids, specifically leucine, valine and isoleucine. With these amino acids in mind\u00a0I ran experiments with both the wild type and KO to see if there were differences in the growth rate.\"2x\"<\/a><\/p>\n

A population of Mycobacterium <\/i>smegmatis<\/i> wild type <\/i>and KO_4718 <\/i>\u00a0was grown overnight at 37\u00b0C in 7H9GAT. On the follwoing day, pipette culture and media using\u00a02X technique to setup bioscreen plate (See diagram for example). Set up triplicates of\u00a0\u00a07H9+ADC media for each amino acid (leucine, valine and isoleucine) concentration of 0.5%, 0.25% and 0.13%. Monitor the growth via optical density 600 with BioscreenC at 37\u00b0C and continuous, low shaking.<\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

After one run of amino acid conditions, the growth curves of the wt<\/i> and KO_4718<\/i> looked very similar under each condition. Upon further analysis with R, which calculated growth rate, the difference was very insignificant with some results having outliers.<\/p>\n

\"msmeg2\"<\/a>
Growth indicator of M. smegmatis wild type<\/em> and KO_4718<\/em> with various concentrations of branched-chain amino acids:<\/strong> This plot shows the growth rates of both wt<\/em> and KO_4718<\/em> in each of the amino acids and in different concentrations of said amino acid. The growth rates were calculated and plotted using R.<\/figcaption><\/figure>\n
\"msmeg\"<\/a>
Growth indicator of M. smegmatis wild type<\/em> and KO_4718<\/em>:<\/strong> This graph displays both wt<\/em> and KO_4718<\/em> grown in 7H9 as a control.<\/figcaption><\/figure>\n

 <\/p>\n

Conclusion<\/strong>
\nThere is very little difference between the growth rate of M. <\/i>smegmatis<\/i> wild type<\/em> and KO_4718 <\/i>under isoleucine, leucine and valine conditions<\/strong>. Further analysis and another trial may help in determining if the slight difference is significant.<\/p>\n

Literature Cited<\/strong>
\nBalhana, R. J., Swanston, S. N., Coade, S., Withers, M., Sikder, M. H., Stoker, N. G., & Kendall, S. L. (2013).\u00a0bkaR<\/i>\u00a0is a TetR-type repressor that controls an operon associated with branched-
\nchain keto-acid metabolism in Mycobacteria<\/i>.\u00a0Fems<\/i> Microbiology Letters<\/i>,\u00a0345<\/i>(2), 132\u2013140. http:\/\/doi.org\/10.1111\/1574-6968.12196<\/p>\n","protected":false},"excerpt":{"rendered":"

by Christine D. Pham Background\u00a0 Mycobacterium tuberculosis (MTB) is a pathogenic bacterium that causes tuberculosis, which affects about one-third of the world\u2019s population. Mycobacterium smegmatis is a non-pathogenic bacterium that is used in research related to MTB, as it has many similarities, yet a relatively fast doubling time.\u00a0M. smegmatis is approximately\u00a03.0-5.0 um and is the model organism for mycobacterial species. M. smegmatis shares the same cell wall structure as MTB and other mycobacterial species. Experiment M.\u00a0smegmatis is closely related to MTB and studying its growth…<\/p>\n","protected":false},"author":14,"featured_media":0,"parent":465,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-339","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/pages\/339","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/comments?post=339"}],"version-history":[{"count":21,"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/pages\/339\/revisions"}],"predecessor-version":[{"id":811,"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/pages\/339\/revisions\/811"}],"up":[{"embeddable":true,"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/pages\/465"}],"wp:attachment":[{"href":"https:\/\/baliga.systemsbiology.net\/see-interns\/hs2016\/wp-json\/wp\/v2\/media?parent=339"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}