Function-Oriented Graphene Quantum Dots Probe for Single Cell in situ Sorting of Active Microorganisms in Environmental Samples
Functional microorganisms play a vital role in removing environmental pollutants because of their diverse metabolic capability. Herein, a function-oriented fluorescence resonance energy transfer (FRET)-based graphene quantum dots (GQDs-M) probe was developed for the specific identification and accur...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-05-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2021.659111/full |
| _version_ | 1819096484197433344 |
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| author | Yeshen Luo Yeshen Luo Yeshen Luo Fei Liu Jianhua Song Qian Luo Yonggang Yang Chengfang Mei Meiying Xu Bing Liao |
| author_facet | Yeshen Luo Yeshen Luo Yeshen Luo Fei Liu Jianhua Song Qian Luo Yonggang Yang Chengfang Mei Meiying Xu Bing Liao |
| author_sort | Yeshen Luo |
| collection | DOAJ |
| description | Functional microorganisms play a vital role in removing environmental pollutants because of their diverse metabolic capability. Herein, a function-oriented fluorescence resonance energy transfer (FRET)-based graphene quantum dots (GQDs-M) probe was developed for the specific identification and accurate sorting of azo-degrading functional bacteria in the original location of environmental samples for large-scale culturing. First, nitrogen-doped GQDs (GQDs-N) were synthesized using a bottom-up strategy. Then, a GQDs-M probe was synthesized based on bonding FRET-based GQDs-N to an azo dye, methyl red, and the quenched fluorescence was recovered upon cleavage of the azo bond. Bioimaging confirmed the specific recognition capability of GQDs-M upon incubation with the target bacteria or environmental samples. It is suggested that the estimation of environmental functional microbial populations based on bioimaging will be a new method for rapid preliminary assessment of environmental pollution levels. In combination with a visual single-cell sorter, the target bacteria in the environmental samples could be intuitively screened at the single-cell level in 17 bacterial strains, including the positive control Shewanella decolorationis S12, and were isolated from environmental samples. All of these showed an azo degradation function, indicating the high accuracy of the single-cell sorting strategy using the GQDs-M. Furthermore, among the bacteria isolated, two strains of Bacillus pacificus and Bacillus wiedmannii showed double and triple degradation efficiency for methyl red compared to the positive control (strain S12). This strategy will have good application prospects for finding new species or high-activity species of specific functional bacteria. |
| first_indexed | 2024-12-21T23:59:56Z |
| format | Article |
| id | doaj.art-49d95e44de1b4402a815d1808caa5b96 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-12-21T23:59:56Z |
| publishDate | 2021-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-49d95e44de1b4402a815d1808caa5b962022-12-21T18:45:43ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2021-05-011210.3389/fmicb.2021.659111659111Function-Oriented Graphene Quantum Dots Probe for Single Cell in situ Sorting of Active Microorganisms in Environmental SamplesYeshen Luo0Yeshen Luo1Yeshen Luo2Fei Liu3Jianhua Song4Qian Luo5Yonggang Yang6Chengfang Mei7Meiying Xu8Bing Liao9Guangzhou Institute of Chemistry, Chinese Academy of Sciences, Guangzhou, ChinaState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, ChinaState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, ChinaState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, ChinaState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, ChinaState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, ChinaState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, ChinaGuangzhou Institute of Chemistry, Chinese Academy of Sciences, Guangzhou, ChinaFunctional microorganisms play a vital role in removing environmental pollutants because of their diverse metabolic capability. Herein, a function-oriented fluorescence resonance energy transfer (FRET)-based graphene quantum dots (GQDs-M) probe was developed for the specific identification and accurate sorting of azo-degrading functional bacteria in the original location of environmental samples for large-scale culturing. First, nitrogen-doped GQDs (GQDs-N) were synthesized using a bottom-up strategy. Then, a GQDs-M probe was synthesized based on bonding FRET-based GQDs-N to an azo dye, methyl red, and the quenched fluorescence was recovered upon cleavage of the azo bond. Bioimaging confirmed the specific recognition capability of GQDs-M upon incubation with the target bacteria or environmental samples. It is suggested that the estimation of environmental functional microbial populations based on bioimaging will be a new method for rapid preliminary assessment of environmental pollution levels. In combination with a visual single-cell sorter, the target bacteria in the environmental samples could be intuitively screened at the single-cell level in 17 bacterial strains, including the positive control Shewanella decolorationis S12, and were isolated from environmental samples. All of these showed an azo degradation function, indicating the high accuracy of the single-cell sorting strategy using the GQDs-M. Furthermore, among the bacteria isolated, two strains of Bacillus pacificus and Bacillus wiedmannii showed double and triple degradation efficiency for methyl red compared to the positive control (strain S12). This strategy will have good application prospects for finding new species or high-activity species of specific functional bacteria.https://www.frontiersin.org/articles/10.3389/fmicb.2021.659111/fullgraphene quantum dotsbioimagingfunctional bacteriasingle-cell in situ sortingenvironmental samples |
| spellingShingle | Yeshen Luo Yeshen Luo Yeshen Luo Fei Liu Jianhua Song Qian Luo Yonggang Yang Chengfang Mei Meiying Xu Bing Liao Function-Oriented Graphene Quantum Dots Probe for Single Cell in situ Sorting of Active Microorganisms in Environmental Samples Frontiers in Microbiology graphene quantum dots bioimaging functional bacteria single-cell in situ sorting environmental samples |
| title | Function-Oriented Graphene Quantum Dots Probe for Single Cell in situ Sorting of Active Microorganisms in Environmental Samples |
| title_full | Function-Oriented Graphene Quantum Dots Probe for Single Cell in situ Sorting of Active Microorganisms in Environmental Samples |
| title_fullStr | Function-Oriented Graphene Quantum Dots Probe for Single Cell in situ Sorting of Active Microorganisms in Environmental Samples |
| title_full_unstemmed | Function-Oriented Graphene Quantum Dots Probe for Single Cell in situ Sorting of Active Microorganisms in Environmental Samples |
| title_short | Function-Oriented Graphene Quantum Dots Probe for Single Cell in situ Sorting of Active Microorganisms in Environmental Samples |
| title_sort | function oriented graphene quantum dots probe for single cell in situ sorting of active microorganisms in environmental samples |
| topic | graphene quantum dots bioimaging functional bacteria single-cell in situ sorting environmental samples |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2021.659111/full |
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