Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History
Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtai...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Huang, Wei E. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2007 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, Inc. 2007 |
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| Übergeordnetes Werk: |
Enthalten in: Microbial ecology - New York, NY : Springer, 1974, 53(2007), 3 vom: 02. März, Seite 414-425 |
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| Übergeordnetes Werk: |
volume:53 ; year:2007 ; number:3 ; day:02 ; month:03 ; pages:414-425 |
| Links: |
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| DOI / URN: |
10.1007/s00248-006-9138-5 |
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SPR002874105 |
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| 520 | |a Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. | ||
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| 700 | 1 | |a Thompson, Ian P. |4 aut | |
| 700 | 1 | |a Whiteley, Andrew S. |4 aut | |
| 700 | 1 | |a Spiers, Andrew J. |4 aut | |
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10.1007/s00248-006-9138-5 doi (DE-627)SPR002874105 (SPR)s00248-006-9138-5-e DE-627 ger DE-627 rakwb eng Huang, Wei E. verfasserin aut Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, Inc. 2007 Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. Sugar Beet (dpeaa)DE-He213 Carbon Catabolite Repression (dpeaa)DE-He213 Discriminant Functional Analysis (dpeaa)DE-He213 Carbon Starvation (dpeaa)DE-He213 Gene Protein Expression (dpeaa)DE-He213 Bailey, Mark J. aut Thompson, Ian P. aut Whiteley, Andrew S. aut Spiers, Andrew J. aut Enthalten in Microbial ecology New York, NY : Springer, 1974 53(2007), 3 vom: 02. März, Seite 414-425 (DE-627)254630197 (DE-600)1462065-0 1432-184X nnns volume:53 year:2007 number:3 day:02 month:03 pages:414-425 https://dx.doi.org/10.1007/s00248-006-9138-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 53 2007 3 02 03 414-425 |
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10.1007/s00248-006-9138-5 doi (DE-627)SPR002874105 (SPR)s00248-006-9138-5-e DE-627 ger DE-627 rakwb eng Huang, Wei E. verfasserin aut Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, Inc. 2007 Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. Sugar Beet (dpeaa)DE-He213 Carbon Catabolite Repression (dpeaa)DE-He213 Discriminant Functional Analysis (dpeaa)DE-He213 Carbon Starvation (dpeaa)DE-He213 Gene Protein Expression (dpeaa)DE-He213 Bailey, Mark J. aut Thompson, Ian P. aut Whiteley, Andrew S. aut Spiers, Andrew J. aut Enthalten in Microbial ecology New York, NY : Springer, 1974 53(2007), 3 vom: 02. März, Seite 414-425 (DE-627)254630197 (DE-600)1462065-0 1432-184X nnns volume:53 year:2007 number:3 day:02 month:03 pages:414-425 https://dx.doi.org/10.1007/s00248-006-9138-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 53 2007 3 02 03 414-425 |
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10.1007/s00248-006-9138-5 doi (DE-627)SPR002874105 (SPR)s00248-006-9138-5-e DE-627 ger DE-627 rakwb eng Huang, Wei E. verfasserin aut Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, Inc. 2007 Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. Sugar Beet (dpeaa)DE-He213 Carbon Catabolite Repression (dpeaa)DE-He213 Discriminant Functional Analysis (dpeaa)DE-He213 Carbon Starvation (dpeaa)DE-He213 Gene Protein Expression (dpeaa)DE-He213 Bailey, Mark J. aut Thompson, Ian P. aut Whiteley, Andrew S. aut Spiers, Andrew J. aut Enthalten in Microbial ecology New York, NY : Springer, 1974 53(2007), 3 vom: 02. März, Seite 414-425 (DE-627)254630197 (DE-600)1462065-0 1432-184X nnns volume:53 year:2007 number:3 day:02 month:03 pages:414-425 https://dx.doi.org/10.1007/s00248-006-9138-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 53 2007 3 02 03 414-425 |
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10.1007/s00248-006-9138-5 doi (DE-627)SPR002874105 (SPR)s00248-006-9138-5-e DE-627 ger DE-627 rakwb eng Huang, Wei E. verfasserin aut Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, Inc. 2007 Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. Sugar Beet (dpeaa)DE-He213 Carbon Catabolite Repression (dpeaa)DE-He213 Discriminant Functional Analysis (dpeaa)DE-He213 Carbon Starvation (dpeaa)DE-He213 Gene Protein Expression (dpeaa)DE-He213 Bailey, Mark J. aut Thompson, Ian P. aut Whiteley, Andrew S. aut Spiers, Andrew J. aut Enthalten in Microbial ecology New York, NY : Springer, 1974 53(2007), 3 vom: 02. März, Seite 414-425 (DE-627)254630197 (DE-600)1462065-0 1432-184X nnns volume:53 year:2007 number:3 day:02 month:03 pages:414-425 https://dx.doi.org/10.1007/s00248-006-9138-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 53 2007 3 02 03 414-425 |
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10.1007/s00248-006-9138-5 doi (DE-627)SPR002874105 (SPR)s00248-006-9138-5-e DE-627 ger DE-627 rakwb eng Huang, Wei E. verfasserin aut Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, Inc. 2007 Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. Sugar Beet (dpeaa)DE-He213 Carbon Catabolite Repression (dpeaa)DE-He213 Discriminant Functional Analysis (dpeaa)DE-He213 Carbon Starvation (dpeaa)DE-He213 Gene Protein Expression (dpeaa)DE-He213 Bailey, Mark J. aut Thompson, Ian P. aut Whiteley, Andrew S. aut Spiers, Andrew J. aut Enthalten in Microbial ecology New York, NY : Springer, 1974 53(2007), 3 vom: 02. März, Seite 414-425 (DE-627)254630197 (DE-600)1462065-0 1432-184X nnns volume:53 year:2007 number:3 day:02 month:03 pages:414-425 https://dx.doi.org/10.1007/s00248-006-9138-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 53 2007 3 02 03 414-425 |
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English |
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Enthalten in Microbial ecology 53(2007), 3 vom: 02. März, Seite 414-425 volume:53 year:2007 number:3 day:02 month:03 pages:414-425 |
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Enthalten in Microbial ecology 53(2007), 3 vom: 02. März, Seite 414-425 volume:53 year:2007 number:3 day:02 month:03 pages:414-425 |
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Sugar Beet Carbon Catabolite Repression Discriminant Functional Analysis Carbon Starvation Gene Protein Expression |
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Microbial ecology |
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Huang, Wei E. @@aut@@ Bailey, Mark J. @@aut@@ Thompson, Ian P. @@aut@@ Whiteley, Andrew S. @@aut@@ Spiers, Andrew J. @@aut@@ |
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This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. 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Huang, Wei E. |
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Huang, Wei E. misc Sugar Beet misc Carbon Catabolite Repression misc Discriminant Functional Analysis misc Carbon Starvation misc Gene Protein Expression Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History |
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Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History Sugar Beet (dpeaa)DE-He213 Carbon Catabolite Repression (dpeaa)DE-He213 Discriminant Functional Analysis (dpeaa)DE-He213 Carbon Starvation (dpeaa)DE-He213 Gene Protein Expression (dpeaa)DE-He213 |
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Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History |
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Elektronische Aufsätze |
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Huang, Wei E. |
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10.1007/s00248-006-9138-5 |
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single-cell raman spectral profiles of pseudomonas fluorescens sbw25 reflects in vitro and in planta metabolic history |
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Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History |
| abstract |
Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. © Springer Science+Business Media, Inc. 2007 |
| abstractGer |
Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. © Springer Science+Business Media, Inc. 2007 |
| abstract_unstemmed |
Abstract Single-cell Raman microspectroscopy has the potential to report on the whole-cell chemical composition of bacteria, reflecting metabolic status as well as growth history. This potential has been demonstrated through the discriminant functional analysis of Raman spectral profiles (RSP) obtained from the soil and plant-associated bacterium Pseudomonas fluorescens SBW25, grown in vitro using defined media, and in planta using 3-month-old sugar beets (Beta vulgaris var. Roberta). SBW25 in vitro RSP data showed significant variation between those cells grown on different amino acids, sugars, TCA cycle intermediates, rich King's B, and culture media derived from the sugar beet phytosphere. Raman analysis was also able to follow the transition of SBW25 starved of carbon over a period of days, and SBW25 in planta RSP data also showed variation with significant differences between bacteria recovered from soil and the rhizosphere. SBW25 whole-cell chemical composition, and therefore growth and metabolic history, could be interpreted by coanalyzing in vitro and in planta RSP data. SBW25 recovered from the phytosphere was found to be more similar to SBW25 grown in vitro on Fru or Asp, rather than on Glc or Arg, and quite dissimilar to that resulting from carbon starvation. This suggests that SBW25 growth in the phytosphere is generally neither carbon-catabolite-repressed nor carbon-limited. These findings demonstrate that the analysis of single-cell RSP can differentiate between isogenic populations of bacteria with different metabolic histories or after recovery from different parts of their natural environment. In addition, Raman analysis is also capable of providing biologically relevant biochemical inferences, which might then be tested to uncover the mechanistic basis (biochemical–metabolic–genetic) differentiating bacteria growing in complex environments and exposed to different conditions. © Springer Science+Business Media, Inc. 2007 |
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Single-Cell Raman Spectral Profiles of Pseudomonas fluorescens SBW25 Reflects in vitro and in planta Metabolic History |
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| score |
7.400757 |