The rhizomicrobiomes of wild and cultivated crops react differently to fungicides
Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear h...
Ausführliche Beschreibung
Autor*in: |
Shi, Shaohua [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
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Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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Übergeordnetes Werk: |
Enthalten in: Archives of microbiology - Berlin : Springer, 1930, 201(2018), 4 vom: 25. Okt., Seite 477-486 |
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Übergeordnetes Werk: |
volume:201 ; year:2018 ; number:4 ; day:25 ; month:10 ; pages:477-486 |
Links: |
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DOI / URN: |
10.1007/s00203-018-1586-z |
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Katalog-ID: |
SPR001808451 |
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520 | |a Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. | ||
650 | 4 | |a Rhizosphere microbial community |7 (dpeaa)DE-He213 | |
650 | 4 | |a Cultivar |7 (dpeaa)DE-He213 | |
650 | 4 | |a Illumina MiSeq sequencing |7 (dpeaa)DE-He213 | |
650 | 4 | |a Carbendazim |7 (dpeaa)DE-He213 | |
650 | 4 | |a Tricyclazole |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Xu, Shangqi |4 aut | |
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700 | 1 | |a Nasir, Fahad |4 aut | |
700 | 1 | |a Li, Xiujun |4 aut | |
700 | 1 | |a Song, Zhiping |4 aut | |
700 | 1 | |a Tian, Chunjie |0 (orcid)0000-0003-1557-5459 |4 aut | |
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10.1007/s00203-018-1586-z doi (DE-627)SPR001808451 (SPR)s00203-018-1586-z-e DE-627 ger DE-627 rakwb eng Shi, Shaohua verfasserin aut The rhizomicrobiomes of wild and cultivated crops react differently to fungicides 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. Rhizosphere microbial community (dpeaa)DE-He213 Cultivar (dpeaa)DE-He213 Illumina MiSeq sequencing (dpeaa)DE-He213 Carbendazim (dpeaa)DE-He213 Tricyclazole (dpeaa)DE-He213 Tian, Lei aut Xu, Shangqi aut Ji, Li aut Nasir, Fahad aut Li, Xiujun aut Song, Zhiping aut Tian, Chunjie (orcid)0000-0003-1557-5459 aut Enthalten in Archives of microbiology Berlin : Springer, 1930 201(2018), 4 vom: 25. Okt., Seite 477-486 (DE-627)253390079 (DE-600)1458451-7 1432-072X nnns volume:201 year:2018 number:4 day:25 month:10 pages:477-486 https://dx.doi.org/10.1007/s00203-018-1586-z 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_252 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_2360 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 201 2018 4 25 10 477-486 |
spelling |
10.1007/s00203-018-1586-z doi (DE-627)SPR001808451 (SPR)s00203-018-1586-z-e DE-627 ger DE-627 rakwb eng Shi, Shaohua verfasserin aut The rhizomicrobiomes of wild and cultivated crops react differently to fungicides 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. Rhizosphere microbial community (dpeaa)DE-He213 Cultivar (dpeaa)DE-He213 Illumina MiSeq sequencing (dpeaa)DE-He213 Carbendazim (dpeaa)DE-He213 Tricyclazole (dpeaa)DE-He213 Tian, Lei aut Xu, Shangqi aut Ji, Li aut Nasir, Fahad aut Li, Xiujun aut Song, Zhiping aut Tian, Chunjie (orcid)0000-0003-1557-5459 aut Enthalten in Archives of microbiology Berlin : Springer, 1930 201(2018), 4 vom: 25. Okt., Seite 477-486 (DE-627)253390079 (DE-600)1458451-7 1432-072X nnns volume:201 year:2018 number:4 day:25 month:10 pages:477-486 https://dx.doi.org/10.1007/s00203-018-1586-z 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_252 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_2360 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 201 2018 4 25 10 477-486 |
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10.1007/s00203-018-1586-z doi (DE-627)SPR001808451 (SPR)s00203-018-1586-z-e DE-627 ger DE-627 rakwb eng Shi, Shaohua verfasserin aut The rhizomicrobiomes of wild and cultivated crops react differently to fungicides 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. Rhizosphere microbial community (dpeaa)DE-He213 Cultivar (dpeaa)DE-He213 Illumina MiSeq sequencing (dpeaa)DE-He213 Carbendazim (dpeaa)DE-He213 Tricyclazole (dpeaa)DE-He213 Tian, Lei aut Xu, Shangqi aut Ji, Li aut Nasir, Fahad aut Li, Xiujun aut Song, Zhiping aut Tian, Chunjie (orcid)0000-0003-1557-5459 aut Enthalten in Archives of microbiology Berlin : Springer, 1930 201(2018), 4 vom: 25. Okt., Seite 477-486 (DE-627)253390079 (DE-600)1458451-7 1432-072X nnns volume:201 year:2018 number:4 day:25 month:10 pages:477-486 https://dx.doi.org/10.1007/s00203-018-1586-z 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_252 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_2360 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 201 2018 4 25 10 477-486 |
allfieldsGer |
10.1007/s00203-018-1586-z doi (DE-627)SPR001808451 (SPR)s00203-018-1586-z-e DE-627 ger DE-627 rakwb eng Shi, Shaohua verfasserin aut The rhizomicrobiomes of wild and cultivated crops react differently to fungicides 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. Rhizosphere microbial community (dpeaa)DE-He213 Cultivar (dpeaa)DE-He213 Illumina MiSeq sequencing (dpeaa)DE-He213 Carbendazim (dpeaa)DE-He213 Tricyclazole (dpeaa)DE-He213 Tian, Lei aut Xu, Shangqi aut Ji, Li aut Nasir, Fahad aut Li, Xiujun aut Song, Zhiping aut Tian, Chunjie (orcid)0000-0003-1557-5459 aut Enthalten in Archives of microbiology Berlin : Springer, 1930 201(2018), 4 vom: 25. Okt., Seite 477-486 (DE-627)253390079 (DE-600)1458451-7 1432-072X nnns volume:201 year:2018 number:4 day:25 month:10 pages:477-486 https://dx.doi.org/10.1007/s00203-018-1586-z 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_252 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_2360 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 201 2018 4 25 10 477-486 |
allfieldsSound |
10.1007/s00203-018-1586-z doi (DE-627)SPR001808451 (SPR)s00203-018-1586-z-e DE-627 ger DE-627 rakwb eng Shi, Shaohua verfasserin aut The rhizomicrobiomes of wild and cultivated crops react differently to fungicides 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. Rhizosphere microbial community (dpeaa)DE-He213 Cultivar (dpeaa)DE-He213 Illumina MiSeq sequencing (dpeaa)DE-He213 Carbendazim (dpeaa)DE-He213 Tricyclazole (dpeaa)DE-He213 Tian, Lei aut Xu, Shangqi aut Ji, Li aut Nasir, Fahad aut Li, Xiujun aut Song, Zhiping aut Tian, Chunjie (orcid)0000-0003-1557-5459 aut Enthalten in Archives of microbiology Berlin : Springer, 1930 201(2018), 4 vom: 25. Okt., Seite 477-486 (DE-627)253390079 (DE-600)1458451-7 1432-072X nnns volume:201 year:2018 number:4 day:25 month:10 pages:477-486 https://dx.doi.org/10.1007/s00203-018-1586-z 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_252 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_2360 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 201 2018 4 25 10 477-486 |
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Rhizosphere microbial community Cultivar Illumina MiSeq sequencing Carbendazim Tricyclazole |
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Shi, Shaohua @@aut@@ Tian, Lei @@aut@@ Xu, Shangqi @@aut@@ Ji, Li @@aut@@ Nasir, Fahad @@aut@@ Li, Xiujun @@aut@@ Song, Zhiping @@aut@@ Tian, Chunjie @@aut@@ |
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Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. 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Shi, Shaohua |
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Shi, Shaohua misc Rhizosphere microbial community misc Cultivar misc Illumina MiSeq sequencing misc Carbendazim misc Tricyclazole The rhizomicrobiomes of wild and cultivated crops react differently to fungicides |
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The rhizomicrobiomes of wild and cultivated crops react differently to fungicides Rhizosphere microbial community (dpeaa)DE-He213 Cultivar (dpeaa)DE-He213 Illumina MiSeq sequencing (dpeaa)DE-He213 Carbendazim (dpeaa)DE-He213 Tricyclazole (dpeaa)DE-He213 |
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rhizomicrobiomes of wild and cultivated crops react differently to fungicides |
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The rhizomicrobiomes of wild and cultivated crops react differently to fungicides |
abstract |
Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
abstractGer |
Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
abstract_unstemmed |
Abstract The fungicides used to control diseases in cereal production can have adverse effects on non-target microbial communities, with possible consequences for plant health and productivity. Although we know that fungicides affect microbial community structure and soil activities, it is unclear how crop cultivars have altered the impact of fungicides on rhizomicrobiomes. In this study, the rhizosphere bacterial and fungal communities and structures of cultivated crops and their wild relatives were studied by Illumina MiSeq sequencing analysis. The results indicated that the rhizomicrobiome communities of wild crops reacted more strongly to fungicides than that of their cultivated relatives. Furthermore, fungal community composition was more affected by fungicides than bacterial community composition. Remarkably, the same trend was observed in both soybean and rice with regard to the influence of crop cultivar on the response of the rhizomicrobiome to fungicide application, although the level of the response was not similar. We report for the first time that the rhizomicrobiomes of wild crops reacted more strongly to fungicides than the rhizomicrobiomes of cultivated crops. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
collection_details |
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container_issue |
4 |
title_short |
The rhizomicrobiomes of wild and cultivated crops react differently to fungicides |
url |
https://dx.doi.org/10.1007/s00203-018-1586-z |
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author2 |
Tian, Lei Xu, Shangqi Ji, Li Nasir, Fahad Li, Xiujun Song, Zhiping Tian, Chunjie |
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doi_str |
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up_date |
2024-07-04T00:30:34.108Z |
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score |
7.3984118 |