PMC:1698941 / 61843-63709
Annnotations
{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/1698941","sourcedb":"PMC","sourceid":"1698941","source_url":"http://www.ncbi.nlm.nih.gov/pmc/1698941","text":"Concluding Remarks\nThe results of this comparative genomics study demonstrate significant novelty and variability of iron and manganese regulatory networks in α-proteobacteria, both in their proposed mechanisms (Figure 10) and in the functional content of target genes (Figure 7). We recognize that nearly all direct work on regulation of iron homeostasis in this group has been done only in three rhizobia species [50]. However, this information, complemented by the computational ab initio reconstruction of the regulons, allows us to form some general conclusions and several speculations about the nature of this process in the “alphas.”\nFigure 10 Combined Regulatory Network for Iron and Manganese Homeostasis Genes in α-Proteobacteria\nThe connecting lines denote regulatory interactions, with the thickness reflecting the frequency of the interaction in the analyzed genomes. Although the emerging overall picture of regulatory interactions seems to be rather consistent and robust, it is unlikely that the described regulatory network is responsible for all the Fe-responsive gene regulation in α-proteobacteria. Even in Bradyrhizobium and Rhizobium, two genera that have been studied more than the others, several genes are differentially expressed in Fe-replete and Fe-depleted cells but not via any of the regulators studied so far.\nGiven the explosion in bacterial genome sequencing, with more than 1,000 complete and ongoing genome projects, more and more functional analyses are being done in silico. While these, of course, can point the way to revealing patterns and phenomena, there is no escape from the need for direct experimentation. We believe that numerous bioinformatic predictions of components of the iron regulatory network in the α-proteobacteria presented in this work are sufficiently interesting to warrant experimental verification.","divisions":[{"label":"Title","span":{"begin":0,"end":18}},{"label":"Figure caption","span":{"begin":642,"end":884}},{"label":"Title","span":{"begin":653,"end":741}}],"tracks":[{"project":"2_test","denotations":[{"id":"17173478-16774589-85248849","span":{"begin":416,"end":418},"obj":"16774589"},{"id":"T14368","span":{"begin":416,"end":418},"obj":"16774589"}],"attributes":[{"subj":"17173478-16774589-85248849","pred":"source","obj":"2_test"},{"subj":"T14368","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#93ec9e","default":true}]}]}}