Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing
Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gu...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Manjula, Arumugam [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2015 |
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| Übergeordnetes Werk: |
Enthalten in: Current microbiology - New York, NY : Springer, 1978, 72(2015), 3 vom: 28. Nov., Seite 267-275 |
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| Übergeordnetes Werk: |
volume:72 ; year:2015 ; number:3 ; day:28 ; month:11 ; pages:267-275 |
| Links: |
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| DOI / URN: |
10.1007/s00284-015-0947-y |
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| Katalog-ID: |
SPR003684423 |
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| 520 | |a Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. | ||
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| 700 | 1 | |a Rajendhran, Jeyaprakash |4 aut | |
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10.1007/s00284-015-0947-y doi (DE-627)SPR003684423 (SPR)s00284-015-0947-y-e DE-627 ger DE-627 rakwb eng Manjula, Arumugam verfasserin aut Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. Proteobacteria (dpeaa)DE-He213 Actinobacteria (dpeaa)DE-He213 Firmicutes (dpeaa)DE-He213 Bacteroidetes (dpeaa)DE-He213 Ribosomal Database Project (dpeaa)DE-He213 Pushpanathan, Muthuirulan aut Sathyavathi, Sundararaju aut Gunasekaran, Paramasamy aut Rajendhran, Jeyaprakash aut Enthalten in Current microbiology New York, NY : Springer, 1978 72(2015), 3 vom: 28. Nov., Seite 267-275 (DE-627)253722160 (DE-600)1458987-4 1432-0991 nnns volume:72 year:2015 number:3 day:28 month:11 pages:267-275 https://dx.doi.org/10.1007/s00284-015-0947-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_381 GBV_ILN_602 GBV_ILN_636 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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2015 3 28 11 267-275 |
| spelling |
10.1007/s00284-015-0947-y doi (DE-627)SPR003684423 (SPR)s00284-015-0947-y-e DE-627 ger DE-627 rakwb eng Manjula, Arumugam verfasserin aut Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. Proteobacteria (dpeaa)DE-He213 Actinobacteria (dpeaa)DE-He213 Firmicutes (dpeaa)DE-He213 Bacteroidetes (dpeaa)DE-He213 Ribosomal Database Project (dpeaa)DE-He213 Pushpanathan, Muthuirulan aut Sathyavathi, Sundararaju aut Gunasekaran, Paramasamy aut Rajendhran, Jeyaprakash aut Enthalten in Current microbiology New York, NY : Springer, 1978 72(2015), 3 vom: 28. Nov., Seite 267-275 (DE-627)253722160 (DE-600)1458987-4 1432-0991 nnns volume:72 year:2015 number:3 day:28 month:11 pages:267-275 https://dx.doi.org/10.1007/s00284-015-0947-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_381 GBV_ILN_602 GBV_ILN_636 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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2015 3 28 11 267-275 |
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10.1007/s00284-015-0947-y doi (DE-627)SPR003684423 (SPR)s00284-015-0947-y-e DE-627 ger DE-627 rakwb eng Manjula, Arumugam verfasserin aut Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. Proteobacteria (dpeaa)DE-He213 Actinobacteria (dpeaa)DE-He213 Firmicutes (dpeaa)DE-He213 Bacteroidetes (dpeaa)DE-He213 Ribosomal Database Project (dpeaa)DE-He213 Pushpanathan, Muthuirulan aut Sathyavathi, Sundararaju aut Gunasekaran, Paramasamy aut Rajendhran, Jeyaprakash aut Enthalten in Current microbiology New York, NY : Springer, 1978 72(2015), 3 vom: 28. Nov., Seite 267-275 (DE-627)253722160 (DE-600)1458987-4 1432-0991 nnns volume:72 year:2015 number:3 day:28 month:11 pages:267-275 https://dx.doi.org/10.1007/s00284-015-0947-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_381 GBV_ILN_602 GBV_ILN_636 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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2015 3 28 11 267-275 |
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10.1007/s00284-015-0947-y doi (DE-627)SPR003684423 (SPR)s00284-015-0947-y-e DE-627 ger DE-627 rakwb eng Manjula, Arumugam verfasserin aut Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. Proteobacteria (dpeaa)DE-He213 Actinobacteria (dpeaa)DE-He213 Firmicutes (dpeaa)DE-He213 Bacteroidetes (dpeaa)DE-He213 Ribosomal Database Project (dpeaa)DE-He213 Pushpanathan, Muthuirulan aut Sathyavathi, Sundararaju aut Gunasekaran, Paramasamy aut Rajendhran, Jeyaprakash aut Enthalten in Current microbiology New York, NY : Springer, 1978 72(2015), 3 vom: 28. Nov., Seite 267-275 (DE-627)253722160 (DE-600)1458987-4 1432-0991 nnns volume:72 year:2015 number:3 day:28 month:11 pages:267-275 https://dx.doi.org/10.1007/s00284-015-0947-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_381 GBV_ILN_602 GBV_ILN_636 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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2015 3 28 11 267-275 |
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10.1007/s00284-015-0947-y doi (DE-627)SPR003684423 (SPR)s00284-015-0947-y-e DE-627 ger DE-627 rakwb eng Manjula, Arumugam verfasserin aut Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. Proteobacteria (dpeaa)DE-He213 Actinobacteria (dpeaa)DE-He213 Firmicutes (dpeaa)DE-He213 Bacteroidetes (dpeaa)DE-He213 Ribosomal Database Project (dpeaa)DE-He213 Pushpanathan, Muthuirulan aut Sathyavathi, Sundararaju aut Gunasekaran, Paramasamy aut Rajendhran, Jeyaprakash aut Enthalten in Current microbiology New York, NY : Springer, 1978 72(2015), 3 vom: 28. Nov., Seite 267-275 (DE-627)253722160 (DE-600)1458987-4 1432-0991 nnns volume:72 year:2015 number:3 day:28 month:11 pages:267-275 https://dx.doi.org/10.1007/s00284-015-0947-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_381 GBV_ILN_602 GBV_ILN_636 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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2015 3 28 11 267-275 |
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Manjula, Arumugam @@aut@@ Pushpanathan, Muthuirulan @@aut@@ Sathyavathi, Sundararaju @@aut@@ Gunasekaran, Paramasamy @@aut@@ Rajendhran, Jeyaprakash @@aut@@ |
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However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. 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Manjula, Arumugam |
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Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing Proteobacteria (dpeaa)DE-He213 Actinobacteria (dpeaa)DE-He213 Firmicutes (dpeaa)DE-He213 Bacteroidetes (dpeaa)DE-He213 Ribosomal Database Project (dpeaa)DE-He213 |
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comparative analysis of microbial diversity in termite gut and termite nest using ion sequencing |
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Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing |
| abstract |
Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. © Springer Science+Business Media New York 2015 |
| abstractGer |
Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. © Springer Science+Business Media New York 2015 |
| abstract_unstemmed |
Abstract Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications. © Springer Science+Business Media New York 2015 |
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| title_short |
Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing |
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https://dx.doi.org/10.1007/s00284-015-0947-y |
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Pushpanathan, Muthuirulan Sathyavathi, Sundararaju Gunasekaran, Paramasamy Rajendhran, Jeyaprakash |
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10.1007/s00284-015-0947-y |
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| score |
7.402815 |