رسالة جامعية
Multi-omics based characterization of various stress responses in Bacillus subtilis
| العنوان: | Multi-omics based characterization of various stress responses in Bacillus subtilis |
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| المؤلفون: | Sappa, Praveen Kumar |
| سنة النشر: | 2014 |
| المجموعة: | Publication Server of Greifswald University |
| مصطلحات موضوعية: | Bacillus subtilis, Multi-omics, SRM (single reaction monitoring), Osmostress, Zentralkohlenstoffmetabolismus, Anpassungsreaktionen, ddc:570 |
| الوصف: | The soil bacterium Bacillus subtilis is capable of surviving most of the ensuing environmental stress conditions. The dynamic nature of the soil habitat is manifested with varying amounts of nutrients, frequent flooding, drying and variation of other growth parameters like temperature, acidity, aeration etc. In order to survive in these conditions, B. subtilis has evolved to employ very complex adaptational responses. These adaptational responses are often multi-faceted; hence comprehensive understanding of the adaptational responses requires generation and integration of data on multi-omics level. Hence, multi-omics based detailed analysis was performed for the molecules involved in the central carbon metabolism (CCM) and proline biosynthesis pathway. In the current study two major stress conditions were extensively investigated: 1) energy limitation/starvation which is achieved by limiting glucose in the growth medium, 2) osmostress resulting from frequent drying out of soil which is simulated by adding 1.2 M NaCl to the growth medium. In addition to osmostress, the naturally available osmoprotectant glycine betaine (GB) was supplemented to understand the simultaneous influence of osmostress and osmoprotection on cellular physiology. To measure absolute protein abundances by mass spectrometry, a targeted approach (SRM –single reaction monitoring) using stable heavy isotope labeled artificial standard proteins known as QconCATs was optimized and implemented in the current study. The SRM technique in combination with QconCAT provided absolute quantitative data with high dynamic range for the 45 targeted CCM proteins. Transcriptome data was obtained from microarray analysis. The resulting data were integrated with the other omics data sets obtained by metabolome and flux analysis. As part of a joint study conducted by the BaCell-SysMO and BaSysBio consortia which aimed for the genome wide mapping of transcription units and previously unannotated RNAs of B. subtilis by means of tiling array hybridizations, mRNA ... |
| نوع الوثيقة: | doctoral or postdoctoral thesis |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://epub.ub.uni-greifswald.de/frontdoor/index/index/docId/1302Test; urn:nbn:de:gbv:9-001812-5; https://nbn-resolving.org/urn:nbn:de:gbv:9-001812-5Test; https://epub.ub.uni-greifswald.de/files/1302/diss_Sappa_Praveen_Kumar.pdfTest |
| الإتاحة: | https://epub.ub.uni-greifswald.de/frontdoor/index/index/docId/1302Test https://nbn-resolving.org/urn:nbn:de:gbv:9-001812-5Test https://epub.ub.uni-greifswald.de/files/1302/diss_Sappa_Praveen_Kumar.pdfTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.F414BE7 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |