Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912843307> ?p ?o ?g. }
- W2912843307 abstract "Abstract Energy storage compounds play crucial roles in prokaryotic physiology. Five chemical compounds have been identified in prokaryotes as energy reserves: polyphosphate (polyP), polyhydroxyalkanoates (PHAs), glycogen, wax ester (WE) and triacylglycerol (TAG). Currently, no systematic study of archaeal energy storage metabolism exists. In this study, we collected 427 archaeal reference sequences from UniProt database. A thorough pathway screening of energy reserves led to an overview of distribution patterns of energy metabolism in archaea. We also explored how energy metabolism might have impact on archaeal extremophilic phenotypes. Based on the systematic analyses of archaeal proteomes, we confirmed that metabolism pathways of polyP, PHAs and glycogen are present in archaea, but TAG and WE are completely absent. It was also confirmed that PHAs are tightly related to halophilic archaea with larger proteome size and higher GC contents, while polyP is mainly present in methanogens. In sum, this study systematically investigates energy storage metabolism in archaea and provides a clear correlation between energy metabolism and the ability to survive in extreme environments. With more genomic editing tools developed for archaea and molecular mechanisms unravelled for energy storage metabolisms (ESMs), there will be a better understanding of the unique lifestyle of archaea in extreme environments." @default.
- W2912843307 created "2019-02-21" @default.
- W2912843307 creator A5012097815 @default.
- W2912843307 creator A5031850224 @default.
- W2912843307 creator A5034871524 @default.
- W2912843307 creator A5046597133 @default.
- W2912843307 creator A5060177975 @default.
- W2912843307 creator A5062755510 @default.
- W2912843307 creator A5080142285 @default.
- W2912843307 creator A5086664647 @default.
- W2912843307 creator A5091170889 @default.
- W2912843307 date "2019-01-31" @default.
- W2912843307 modified "2023-10-06" @default.
- W2912843307 title "Bioinformatics Analysis of Metabolism Pathways of Archaeal Energy Reserves" @default.
- W2912843307 cites W1438886062 @default.
- W2912843307 cites W1573821798 @default.
- W2912843307 cites W1722029454 @default.
- W2912843307 cites W1972124064 @default.
- W2912843307 cites W1976959048 @default.
- W2912843307 cites W1978756064 @default.
- W2912843307 cites W1985422069 @default.
- W2912843307 cites W1987870679 @default.
- W2912843307 cites W1996953184 @default.
- W2912843307 cites W2001473128 @default.
- W2912843307 cites W2010135066 @default.
- W2912843307 cites W2010282763 @default.
- W2912843307 cites W2013814722 @default.
- W2912843307 cites W2017911769 @default.
- W2912843307 cites W2021169602 @default.
- W2912843307 cites W2031382063 @default.
- W2912843307 cites W2032287122 @default.
- W2912843307 cites W2037961820 @default.
- W2912843307 cites W2039589393 @default.
- W2912843307 cites W2040605486 @default.
- W2912843307 cites W2043579776 @default.
- W2912843307 cites W2055043387 @default.
- W2912843307 cites W2055126341 @default.
- W2912843307 cites W2057480992 @default.
- W2912843307 cites W2059278875 @default.
- W2912843307 cites W2062197525 @default.
- W2912843307 cites W2062296203 @default.
- W2912843307 cites W2063297728 @default.
- W2912843307 cites W2065967474 @default.
- W2912843307 cites W2069483558 @default.
- W2912843307 cites W2093071212 @default.
- W2912843307 cites W2098852054 @default.
- W2912843307 cites W2107903949 @default.
- W2912843307 cites W2110149607 @default.
- W2912843307 cites W2110578256 @default.
- W2912843307 cites W2114850508 @default.
- W2912843307 cites W2116569851 @default.
- W2912843307 cites W2119181590 @default.
- W2912843307 cites W2120772351 @default.
- W2912843307 cites W2121629202 @default.
- W2912843307 cites W2123887225 @default.
- W2912843307 cites W2132926880 @default.
- W2912843307 cites W2133917399 @default.
- W2912843307 cites W2138067668 @default.
- W2912843307 cites W2140128133 @default.
- W2912843307 cites W2142678031 @default.
- W2912843307 cites W2142984901 @default.
- W2912843307 cites W2152190430 @default.
- W2912843307 cites W2160571689 @default.
- W2912843307 cites W2165684405 @default.
- W2912843307 cites W2224056471 @default.
- W2912843307 cites W2232707089 @default.
- W2912843307 cites W2309383565 @default.
- W2912843307 cites W2328517849 @default.
- W2912843307 cites W2336330109 @default.
- W2912843307 cites W2341737336 @default.
- W2912843307 cites W2411667744 @default.
- W2912843307 cites W2511376133 @default.
- W2912843307 cites W2544290320 @default.
- W2912843307 cites W2559133556 @default.
- W2912843307 cites W2624367749 @default.
- W2912843307 cites W2766270988 @default.
- W2912843307 cites W2790084716 @default.
- W2912843307 cites W2790145575 @default.
- W2912843307 cites W2799756522 @default.
- W2912843307 cites W4205449044 @default.
- W2912843307 cites W4230932396 @default.
- W2912843307 cites W4233120011 @default.
- W2912843307 cites W629811628 @default.
- W2912843307 doi "https://doi.org/10.1038/s41598-018-37768-0" @default.
- W2912843307 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6355812" @default.
- W2912843307 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30705313" @default.
- W2912843307 hasPublicationYear "2019" @default.
- W2912843307 type Work @default.
- W2912843307 sameAs 2912843307 @default.
- W2912843307 citedByCount "22" @default.
- W2912843307 countsByYear W29128433072019 @default.
- W2912843307 countsByYear W29128433072020 @default.
- W2912843307 countsByYear W29128433072021 @default.
- W2912843307 countsByYear W29128433072022 @default.
- W2912843307 countsByYear W29128433072023 @default.
- W2912843307 crossrefType "journal-article" @default.
- W2912843307 hasAuthorship W2912843307A5012097815 @default.
- W2912843307 hasAuthorship W2912843307A5031850224 @default.
- W2912843307 hasAuthorship W2912843307A5034871524 @default.
- W2912843307 hasAuthorship W2912843307A5046597133 @default.