Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient

Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its d...
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Autor*in:	Li, Xiaofei [verfasserIn] Gao, Dengzhou [verfasserIn] Liu, Min [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	-like bacteria Abundance Salinity gradient Yangtze Estuary

Übergeordnetes Werk:	Enthalten in: Biogeochemistry - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1984, 143(2019), 1 vom: 09. Feb., Seite 1-14
Übergeordnetes Werk:	volume:143 ; year:2019 ; number:1 ; day:09 ; month:02 ; pages:1-14

Links:	Volltext

DOI / URN:	10.1007/s10533-019-00545-w

Katalog-ID:	SPR010960171

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245	1	0	\|a Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient
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520			\|a Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments.
650		4	\|a -like bacteria \|7 (dpeaa)DE-He213
650		4	\|a Abundance \|7 (dpeaa)DE-He213
650		4	\|a Salinity gradient \|7 (dpeaa)DE-He213
650		4	\|a Yangtze Estuary \|7 (dpeaa)DE-He213
700	1		\|a Gao, Dengzhou \|e verfasserin \|4 aut
700	1		\|a Liu, Min \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Biogeochemistry \|d Dordrecht [u.a.] : Springer Science + Business Media B.V., 1984 \|g 143(2019), 1 vom: 09. Feb., Seite 1-14 \|w (DE-627)270935096 \|w (DE-600)1478541-9 \|x 1573-515X \|7 nnns
773	1	8	\|g volume:143 \|g year:2019 \|g number:1 \|g day:09 \|g month:02 \|g pages:1-14
856	4	0	\|u https://dx.doi.org/10.1007/s10533-019-00545-w \|z lizenzpflichtig \|3 Volltext
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912			\|a GBV_ILN_120
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912			\|a GBV_ILN_170
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912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
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912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
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912			\|a GBV_ILN_2014
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912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
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912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2070
912			\|a GBV_ILN_2086
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912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
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912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4328
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4336
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912			\|a GBV_ILN_4700
936	b	k	\|a 35.70 \|q ASE
936	b	k	\|a 38.32 \|q ASE
951			\|a AR
952			\|d 143 \|j 2019 \|e 1 \|b 09 \|c 02 \|h 1-14

Indexfelder

author_variant	x l xl d g dg m l ml
matchkey_str	article:1573515X:2019----::opstodvriynaudnefaddtsoyeaieatranepne
hierarchy_sort_str	2019
bklnumber	35.70 38.32
publishDate	2019
allfields	10.1007/s10533-019-00545-w doi (DE-627)SPR010960171 (SPR)s10533-019-00545-w-e DE-627 ger DE-627 rakwb eng 540 550 ASE 35.70 bkl 38.32 bkl Li, Xiaofei verfasserin aut Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments. -like bacteria (dpeaa)DE-He213 Abundance (dpeaa)DE-He213 Salinity gradient (dpeaa)DE-He213 Yangtze Estuary (dpeaa)DE-He213 Gao, Dengzhou verfasserin aut Liu, Min verfasserin aut Enthalten in Biogeochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V., 1984 143(2019), 1 vom: 09. Feb., Seite 1-14 (DE-627)270935096 (DE-600)1478541-9 1573-515X nnns volume:143 year:2019 number:1 day:09 month:02 pages:1-14 https://dx.doi.org/10.1007/s10533-019-00545-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE 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_165 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_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_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 35.70 ASE 38.32 ASE AR 143 2019 1 09 02 1-14
spelling	10.1007/s10533-019-00545-w doi (DE-627)SPR010960171 (SPR)s10533-019-00545-w-e DE-627 ger DE-627 rakwb eng 540 550 ASE 35.70 bkl 38.32 bkl Li, Xiaofei verfasserin aut Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments. -like bacteria (dpeaa)DE-He213 Abundance (dpeaa)DE-He213 Salinity gradient (dpeaa)DE-He213 Yangtze Estuary (dpeaa)DE-He213 Gao, Dengzhou verfasserin aut Liu, Min verfasserin aut Enthalten in Biogeochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V., 1984 143(2019), 1 vom: 09. Feb., Seite 1-14 (DE-627)270935096 (DE-600)1478541-9 1573-515X nnns volume:143 year:2019 number:1 day:09 month:02 pages:1-14 https://dx.doi.org/10.1007/s10533-019-00545-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE 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_165 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_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_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 35.70 ASE 38.32 ASE AR 143 2019 1 09 02 1-14
allfields_unstemmed	10.1007/s10533-019-00545-w doi (DE-627)SPR010960171 (SPR)s10533-019-00545-w-e DE-627 ger DE-627 rakwb eng 540 550 ASE 35.70 bkl 38.32 bkl Li, Xiaofei verfasserin aut Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments. -like bacteria (dpeaa)DE-He213 Abundance (dpeaa)DE-He213 Salinity gradient (dpeaa)DE-He213 Yangtze Estuary (dpeaa)DE-He213 Gao, Dengzhou verfasserin aut Liu, Min verfasserin aut Enthalten in Biogeochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V., 1984 143(2019), 1 vom: 09. Feb., Seite 1-14 (DE-627)270935096 (DE-600)1478541-9 1573-515X nnns volume:143 year:2019 number:1 day:09 month:02 pages:1-14 https://dx.doi.org/10.1007/s10533-019-00545-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE 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_165 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_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_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 35.70 ASE 38.32 ASE AR 143 2019 1 09 02 1-14
allfieldsGer	10.1007/s10533-019-00545-w doi (DE-627)SPR010960171 (SPR)s10533-019-00545-w-e DE-627 ger DE-627 rakwb eng 540 550 ASE 35.70 bkl 38.32 bkl Li, Xiaofei verfasserin aut Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments. -like bacteria (dpeaa)DE-He213 Abundance (dpeaa)DE-He213 Salinity gradient (dpeaa)DE-He213 Yangtze Estuary (dpeaa)DE-He213 Gao, Dengzhou verfasserin aut Liu, Min verfasserin aut Enthalten in Biogeochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V., 1984 143(2019), 1 vom: 09. Feb., Seite 1-14 (DE-627)270935096 (DE-600)1478541-9 1573-515X nnns volume:143 year:2019 number:1 day:09 month:02 pages:1-14 https://dx.doi.org/10.1007/s10533-019-00545-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE 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_165 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_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_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 35.70 ASE 38.32 ASE AR 143 2019 1 09 02 1-14
allfieldsSound	10.1007/s10533-019-00545-w doi (DE-627)SPR010960171 (SPR)s10533-019-00545-w-e DE-627 ger DE-627 rakwb eng 540 550 ASE 35.70 bkl 38.32 bkl Li, Xiaofei verfasserin aut Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments. -like bacteria (dpeaa)DE-He213 Abundance (dpeaa)DE-He213 Salinity gradient (dpeaa)DE-He213 Yangtze Estuary (dpeaa)DE-He213 Gao, Dengzhou verfasserin aut Liu, Min verfasserin aut Enthalten in Biogeochemistry Dordrecht [u.a.] : Springer Science + Business Media B.V., 1984 143(2019), 1 vom: 09. Feb., Seite 1-14 (DE-627)270935096 (DE-600)1478541-9 1573-515X nnns volume:143 year:2019 number:1 day:09 month:02 pages:1-14 https://dx.doi.org/10.1007/s10533-019-00545-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE 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_165 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_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_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 35.70 ASE 38.32 ASE AR 143 2019 1 09 02 1-14
language	English
source	Enthalten in Biogeochemistry 143(2019), 1 vom: 09. Feb., Seite 1-14 volume:143 year:2019 number:1 day:09 month:02 pages:1-14
sourceStr	Enthalten in Biogeochemistry 143(2019), 1 vom: 09. Feb., Seite 1-14 volume:143 year:2019 number:1 day:09 month:02 pages:1-14
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	-like bacteria Abundance Salinity gradient Yangtze Estuary
dewey-raw	540
isfreeaccess_bool	false
container_title	Biogeochemistry
authorswithroles_txt_mv	Li, Xiaofei @@aut@@ Gao, Dengzhou @@aut@@ Liu, Min @@aut@@
publishDateDaySort_date	2019-02-09T00:00:00Z
hierarchy_top_id	270935096
dewey-sort	3540
id	SPR010960171
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR010960171</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519142916.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10533-019-00545-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR010960171</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10533-019-00545-w-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="a">550</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">35.70</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.32</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Xiaofei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. 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author	Li, Xiaofei
spellingShingle	Li, Xiaofei ddc 540 bkl 35.70 bkl 38.32 misc -like bacteria misc Abundance misc Salinity gradient misc Yangtze Estuary Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient
authorStr	Li, Xiaofei
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illustrated	Not Illustrated
issn	1573-515X
topic_title	540 550 ASE 35.70 bkl 38.32 bkl Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient -like bacteria (dpeaa)DE-He213 Abundance (dpeaa)DE-He213 Salinity gradient (dpeaa)DE-He213 Yangtze Estuary (dpeaa)DE-He213
topic	ddc 540 bkl 35.70 bkl 38.32 misc -like bacteria misc Abundance misc Salinity gradient misc Yangtze Estuary
topic_unstemmed	ddc 540 bkl 35.70 bkl 38.32 misc -like bacteria misc Abundance misc Salinity gradient misc Yangtze Estuary
topic_browse	ddc 540 bkl 35.70 bkl 38.32 misc -like bacteria misc Abundance misc Salinity gradient misc Yangtze Estuary
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hierarchy_parent_title	Biogeochemistry
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title	Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient
ctrlnum	(DE-627)SPR010960171 (SPR)s10533-019-00545-w-e
title_full	Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient
author_sort	Li, Xiaofei
journal	Biogeochemistry
journalStr	Biogeochemistry
lang_code	eng
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author_browse	Li, Xiaofei Gao, Dengzhou Liu, Min
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format_se	Elektronische Aufsätze
author-letter	Li, Xiaofei
doi_str_mv	10.1007/s10533-019-00545-w
dewey-full	540 550
author2-role	verfasserin
title_sort	composition, diversity and abundance of candidatus m. oxyfera-like bacteria in response to the estuary salinity gradient
title_auth	Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient
abstract	Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments.
abstractGer	Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments.
abstract_unstemmed	Abstract “Candidatus Methylomirabilis oxyfera” (M. oxyfera) bacteria has attracted much attention recently since it plays an important role in performing methane oxidation. Most studies on M. oxyfera-like bacteria have been carried out in freshwater ecosystems, however it remains unclear about its distribution along the salinity gradient of estuarine and coastal environments. In this study, we used molecular analyses to reveal the community, diversity and abundance of M. oxyfera-like bacteria in the Yangtze estuarine and coastal sediments. Clone library analyses confirmed the wide distributions of M. oxyfera-like bacterial 16S rRNA and pmoA genes in the study area. The M. oxyfera-like bacterial 16S rRNA gene sequences were grouped into eleven separate OTUs, which were assigned to groups A and B of M. oxyfera-like bacteria. Most sequences (89.4–97.6% of total sequences) of M. oxyfera-like bacterial 16S rRNA gene were affiliated with group B, while only few clone sequences (2.4–10.6% of total sequences) were affiliated with group A. The retrieved M. oxyfera-like bacterial pmoA gene sequences were grouped into five distinct clusters. Bray–Curtis dissimilarity of M. oxyfera-like bacterial 16S rRNA and pmoA genes differed greatly among the low, middle and high salinity sites. M. oxyfera-like bacterial 16S rRNA and pmoA abundances were mainly recovered from the oligohaline sites rather than from the saline sites. In addition, the large differences in 16S rRNA and pmoA gene sequences between estuarine and land freshwater environments suggested that salinity could be able to affect the community distribution of M. oxyfera-like bacteria. Also, sediment nitrate/ammonium played an important role in affecting the M. oxyfera-like bacteria. Overall, these results indicate that salinity has a great influence on M. oxyfera-like bacteria community in estuarine environments.
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container_issue	1
title_short	Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient
url	https://dx.doi.org/10.1007/s10533-019-00545-w
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author2	Gao, Dengzhou Liu, Min
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doi_str	10.1007/s10533-019-00545-w
up_date	2024-07-03T19:29:23.923Z
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Composition, diversity and abundance of Candidatus M. oxyfera-like bacteria in response to the estuary salinity gradient

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