Cyanobacterial ultrastructure in light of genomic sequence data
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu srovnávací studie, časopisecké články, přehledy
PubMed
27344651
DOI
10.1007/s11120-016-0286-2
PII: 10.1007/s11120-016-0286-2
Knihovny.cz E-zdroje
- Klíčová slova
- Bioinformatics *, Carboxysome *, Cyanobacteria *, Cyanophycin *, Gas vesicles *, Glycogen *, Lipid droplets *, Morphology *, PHB *, Polyphosphate *, Protein domain *, Transmission electron microscopy *, Ultrastructure *,
- MeSH
- bakteriální proteiny klasifikace genetika metabolismus MeSH
- fylogeneze MeSH
- genom bakteriální genetika MeSH
- genomika * MeSH
- proteinové domény MeSH
- sekvenční analýza DNA MeSH
- sinice * genetika ultrastruktura MeSH
- transmisní elektronová mikroskopie MeSH
- výpočetní biologie MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
- srovnávací studie MeSH
- Názvy látek
- bakteriální proteiny MeSH
Cyanobacteria are physiologically and morphologically diverse photosynthetic microbes that play major roles in the carbon and nitrogen cycles of the biosphere. Recently, they have gained attention as potential platforms for the production of biofuels and other renewable chemicals. Many cyanobacteria were characterized morphologically prior to the advent of genome sequencing. Here, we catalog cyanobacterial ultrastructure within the context of genomic sequence information, including high-magnification transmission electron micrographs that represent the diversity in cyanobacterial morphology. We place the image data in the context of tabulated protein domains-which are the structural, functional, and evolutionary units of proteins-from the 126 cyanobacterial genomes comprising the CyanoGEBA dataset. In particular, we identify the correspondence between ultrastructure and the occurrence of genes encoding protein domains related to the formation of cyanobacterial inclusions. This compilation of images and genome-level domain occurrence will prove useful for a variety of analyses of cyanobacterial sequence data and provides a guidebook to morphological features.
Berkeley Synthetic Biology Institute UC Berkeley Berkeley CA USA
Bioinformatics Graduate Group University of California San Francisco CA 94158 USA
Department of Biochemistry and Molecular Biology Michigan State University East Lansing MI USA
Department of Plant and Microbial Biology UC Berkeley Berkeley CA USA
MSU DOE Plant Research Laboratory Michigan State University East Lansing MI USA
Physical Biosciences Division Lawrence Berkeley National Laboratory Berkeley CA USA
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