Identifying critical microbes in guayule-microbe and microbe-microbe associations
Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associa...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Yongjian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Plant and soil - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948, 494(2023), 1-2 vom: 19. Sept., Seite 269-284 |
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| Übergeordnetes Werk: |
volume:494 ; year:2023 ; number:1-2 ; day:19 ; month:09 ; pages:269-284 |
| Links: |
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| DOI / URN: |
10.1007/s11104-023-06269-z |
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| Katalog-ID: |
SPR054490901 |
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| 520 | |a Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. | ||
| 650 | 4 | |a Guayule |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Soil microbiome |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Network analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Plant-microbe interactions |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Microbe-microbe interactions |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Dierig, David A. |4 aut | |
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| 700 | 1 | |a Ray, Dennis T. |4 aut | |
| 700 | 1 | |a Barberán, Albert |4 aut | |
| 700 | 1 | |a Maier, Raina M. |4 aut | |
| 700 | 1 | |a Neilson, Julia W. |4 aut | |
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10.1007/s11104-023-06269-z doi (DE-627)SPR054490901 (SPR)s11104-023-06269-z-e DE-627 ger DE-627 rakwb eng Chen, Yongjian verfasserin (orcid)0000-0002-2930-8450 aut Identifying critical microbes in guayule-microbe and microbe-microbe associations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. Guayule (dpeaa)DE-He213 Soil microbiome (dpeaa)DE-He213 Network analysis (dpeaa)DE-He213 Plant-microbe interactions (dpeaa)DE-He213 Microbe-microbe interactions (dpeaa)DE-He213 Dierig, David A. aut Wang, Guangyao (Sam) aut Elshikha, Diaa Eldin M. aut Ray, Dennis T. aut Barberán, Albert aut Maier, Raina M. aut Neilson, Julia W. aut Enthalten in Plant and soil Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 494(2023), 1-2 vom: 19. Sept., Seite 269-284 (DE-627)270934979 (DE-600)1478535-3 1573-5036 nnns volume:494 year:2023 number:1-2 day:19 month:09 pages:269-284 https://dx.doi.org/10.1007/s11104-023-06269-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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 494 2023 1-2 19 09 269-284 |
| spelling |
10.1007/s11104-023-06269-z doi (DE-627)SPR054490901 (SPR)s11104-023-06269-z-e DE-627 ger DE-627 rakwb eng Chen, Yongjian verfasserin (orcid)0000-0002-2930-8450 aut Identifying critical microbes in guayule-microbe and microbe-microbe associations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. Guayule (dpeaa)DE-He213 Soil microbiome (dpeaa)DE-He213 Network analysis (dpeaa)DE-He213 Plant-microbe interactions (dpeaa)DE-He213 Microbe-microbe interactions (dpeaa)DE-He213 Dierig, David A. aut Wang, Guangyao (Sam) aut Elshikha, Diaa Eldin M. aut Ray, Dennis T. aut Barberán, Albert aut Maier, Raina M. aut Neilson, Julia W. aut Enthalten in Plant and soil Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 494(2023), 1-2 vom: 19. Sept., Seite 269-284 (DE-627)270934979 (DE-600)1478535-3 1573-5036 nnns volume:494 year:2023 number:1-2 day:19 month:09 pages:269-284 https://dx.doi.org/10.1007/s11104-023-06269-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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 494 2023 1-2 19 09 269-284 |
| allfields_unstemmed |
10.1007/s11104-023-06269-z doi (DE-627)SPR054490901 (SPR)s11104-023-06269-z-e DE-627 ger DE-627 rakwb eng Chen, Yongjian verfasserin (orcid)0000-0002-2930-8450 aut Identifying critical microbes in guayule-microbe and microbe-microbe associations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. Guayule (dpeaa)DE-He213 Soil microbiome (dpeaa)DE-He213 Network analysis (dpeaa)DE-He213 Plant-microbe interactions (dpeaa)DE-He213 Microbe-microbe interactions (dpeaa)DE-He213 Dierig, David A. aut Wang, Guangyao (Sam) aut Elshikha, Diaa Eldin M. aut Ray, Dennis T. aut Barberán, Albert aut Maier, Raina M. aut Neilson, Julia W. aut Enthalten in Plant and soil Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 494(2023), 1-2 vom: 19. Sept., Seite 269-284 (DE-627)270934979 (DE-600)1478535-3 1573-5036 nnns volume:494 year:2023 number:1-2 day:19 month:09 pages:269-284 https://dx.doi.org/10.1007/s11104-023-06269-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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 494 2023 1-2 19 09 269-284 |
| allfieldsGer |
10.1007/s11104-023-06269-z doi (DE-627)SPR054490901 (SPR)s11104-023-06269-z-e DE-627 ger DE-627 rakwb eng Chen, Yongjian verfasserin (orcid)0000-0002-2930-8450 aut Identifying critical microbes in guayule-microbe and microbe-microbe associations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. Guayule (dpeaa)DE-He213 Soil microbiome (dpeaa)DE-He213 Network analysis (dpeaa)DE-He213 Plant-microbe interactions (dpeaa)DE-He213 Microbe-microbe interactions (dpeaa)DE-He213 Dierig, David A. aut Wang, Guangyao (Sam) aut Elshikha, Diaa Eldin M. aut Ray, Dennis T. aut Barberán, Albert aut Maier, Raina M. aut Neilson, Julia W. aut Enthalten in Plant and soil Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 494(2023), 1-2 vom: 19. Sept., Seite 269-284 (DE-627)270934979 (DE-600)1478535-3 1573-5036 nnns volume:494 year:2023 number:1-2 day:19 month:09 pages:269-284 https://dx.doi.org/10.1007/s11104-023-06269-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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 494 2023 1-2 19 09 269-284 |
| allfieldsSound |
10.1007/s11104-023-06269-z doi (DE-627)SPR054490901 (SPR)s11104-023-06269-z-e DE-627 ger DE-627 rakwb eng Chen, Yongjian verfasserin (orcid)0000-0002-2930-8450 aut Identifying critical microbes in guayule-microbe and microbe-microbe associations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. Guayule (dpeaa)DE-He213 Soil microbiome (dpeaa)DE-He213 Network analysis (dpeaa)DE-He213 Plant-microbe interactions (dpeaa)DE-He213 Microbe-microbe interactions (dpeaa)DE-He213 Dierig, David A. aut Wang, Guangyao (Sam) aut Elshikha, Diaa Eldin M. aut Ray, Dennis T. aut Barberán, Albert aut Maier, Raina M. aut Neilson, Julia W. aut Enthalten in Plant and soil Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 494(2023), 1-2 vom: 19. Sept., Seite 269-284 (DE-627)270934979 (DE-600)1478535-3 1573-5036 nnns volume:494 year:2023 number:1-2 day:19 month:09 pages:269-284 https://dx.doi.org/10.1007/s11104-023-06269-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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 494 2023 1-2 19 09 269-284 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. 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Chen, Yongjian |
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Chen, Yongjian misc Guayule misc Soil microbiome misc Network analysis misc Plant-microbe interactions misc Microbe-microbe interactions Identifying critical microbes in guayule-microbe and microbe-microbe associations |
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Identifying critical microbes in guayule-microbe and microbe-microbe associations Guayule (dpeaa)DE-He213 Soil microbiome (dpeaa)DE-He213 Network analysis (dpeaa)DE-He213 Plant-microbe interactions (dpeaa)DE-He213 Microbe-microbe interactions (dpeaa)DE-He213 |
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misc Guayule misc Soil microbiome misc Network analysis misc Plant-microbe interactions misc Microbe-microbe interactions |
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misc Guayule misc Soil microbiome misc Network analysis misc Plant-microbe interactions misc Microbe-microbe interactions |
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Identifying critical microbes in guayule-microbe and microbe-microbe associations |
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Identifying critical microbes in guayule-microbe and microbe-microbe associations |
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Chen, Yongjian |
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Chen, Yongjian Dierig, David A. Wang, Guangyao (Sam) Elshikha, Diaa Eldin M. Ray, Dennis T. Barberán, Albert Maier, Raina M. Neilson, Julia W. |
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Elektronische Aufsätze |
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Chen, Yongjian |
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identifying critical microbes in guayule-microbe and microbe-microbe associations |
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Identifying critical microbes in guayule-microbe and microbe-microbe associations |
| abstract |
Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Background Plant-microbe associations play central roles in ecosystem functioning, with some critical microbes significantly influencing the growth and health of plants. Additionally, some microbes are highly associated with other microbes in either competitive or cooperative microbe-microbe associations. Here, we aimed to determine whether there is overlap between critical microbes in plant-microbe and microbe-microbe associations by using guayule (a rubber-producing crop) as a model plant. Methods Using marker gene amplicon sequencing, we characterized the bacterial/archaeal and fungal communities in soil samples collected from a guayule agroecosystem at six time points that represent changes in guayule productivity and growth stage. The critical microbes in guayule-microbe associations were phylotypes whose relative abundances were positively (positive taxa) or negatively (negative taxa) associated with guayule productivity. Network analysis was used to identify the critical microbes in microbe-microbe associations. Results Some positive taxa in guayule-microbe associations were ammonia-oxidizing archaea (AOA) and bacteria (AOB) and arbuscular mycorrhizal fungi (AMF), and negative taxa included some microbes resistant to aridity. Some of the critical microbes in microbe-microbe associations were fungal plant pathogens. There were 9 phylotypes representing the overlap between critical microbes in guayule-microbe and microbe-microbe associations. This overlap group included AOB, phototrophic bacteria, AMF, and saprotrophic fungi, along with unique taxa of unknown function. Conclusions Our study highlighted the association of the soil microbiome with the growth and health of guayule. Our systematic approach narrowed down the immense number of microbial taxa to a ‘most wanted’ list that we define as critical to the entire guayule agroecosystem. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| score |
7.3986673 |