Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers

Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and...
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Autor*in:	Shumenko, Polina G. [verfasserIn] Tatonova, Yulia V.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Complete sequences Russia

Anmerkung:	© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022

Übergeordnetes Werk:	Enthalten in: Parasitology research - Berlin : Springer, 1928, 121(2022), 3 vom: 08. Feb., Seite 915-923
Übergeordnetes Werk:	volume:121 ; year:2022 ; number:3 ; day:08 ; month:02 ; pages:915-923

Links:	Volltext

DOI / URN:	10.1007/s00436-022-07456-0

Katalog-ID:	SPR046283064

Internformat


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912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_267
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
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912			\|a GBV_ILN_702
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912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
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912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
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912			\|a GBV_ILN_2027
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
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912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2144
912			\|a GBV_ILN_2147
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912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2446
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2472
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_2548
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allfields	10.1007/s00436-022-07456-0 doi (DE-627)SPR046283064 (SPR)s00436-022-07456-0-e DE-627 ger DE-627 rakwb eng Shumenko, Polina G. verfasserin aut Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species. Complete sequences (dpeaa)DE-He213 Russia (dpeaa)DE-He213 Tatonova, Yulia V. aut Enthalten in Parasitology research Berlin : Springer, 1928 121(2022), 3 vom: 08. Feb., Seite 915-923 (DE-627)254638627 (DE-600)1462976-8 1432-1955 nnns volume:121 year:2022 number:3 day:08 month:02 pages:915-923 https://dx.doi.org/10.1007/s00436-022-07456-0 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_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_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_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_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_4393 GBV_ILN_4700 AR 121 2022 3 08 02 915-923
spelling	10.1007/s00436-022-07456-0 doi (DE-627)SPR046283064 (SPR)s00436-022-07456-0-e DE-627 ger DE-627 rakwb eng Shumenko, Polina G. verfasserin aut Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species. Complete sequences (dpeaa)DE-He213 Russia (dpeaa)DE-He213 Tatonova, Yulia V. aut Enthalten in Parasitology research Berlin : Springer, 1928 121(2022), 3 vom: 08. Feb., Seite 915-923 (DE-627)254638627 (DE-600)1462976-8 1432-1955 nnns volume:121 year:2022 number:3 day:08 month:02 pages:915-923 https://dx.doi.org/10.1007/s00436-022-07456-0 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_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_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_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_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_4393 GBV_ILN_4700 AR 121 2022 3 08 02 915-923
allfields_unstemmed	10.1007/s00436-022-07456-0 doi (DE-627)SPR046283064 (SPR)s00436-022-07456-0-e DE-627 ger DE-627 rakwb eng Shumenko, Polina G. verfasserin aut Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species. Complete sequences (dpeaa)DE-He213 Russia (dpeaa)DE-He213 Tatonova, Yulia V. aut Enthalten in Parasitology research Berlin : Springer, 1928 121(2022), 3 vom: 08. Feb., Seite 915-923 (DE-627)254638627 (DE-600)1462976-8 1432-1955 nnns volume:121 year:2022 number:3 day:08 month:02 pages:915-923 https://dx.doi.org/10.1007/s00436-022-07456-0 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_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_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_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_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_4393 GBV_ILN_4700 AR 121 2022 3 08 02 915-923
allfieldsGer	10.1007/s00436-022-07456-0 doi (DE-627)SPR046283064 (SPR)s00436-022-07456-0-e DE-627 ger DE-627 rakwb eng Shumenko, Polina G. verfasserin aut Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species. Complete sequences (dpeaa)DE-He213 Russia (dpeaa)DE-He213 Tatonova, Yulia V. aut Enthalten in Parasitology research Berlin : Springer, 1928 121(2022), 3 vom: 08. Feb., Seite 915-923 (DE-627)254638627 (DE-600)1462976-8 1432-1955 nnns volume:121 year:2022 number:3 day:08 month:02 pages:915-923 https://dx.doi.org/10.1007/s00436-022-07456-0 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_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_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_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_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_4393 GBV_ILN_4700 AR 121 2022 3 08 02 915-923
allfieldsSound	10.1007/s00436-022-07456-0 doi (DE-627)SPR046283064 (SPR)s00436-022-07456-0-e DE-627 ger DE-627 rakwb eng Shumenko, Polina G. verfasserin aut Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species. Complete sequences (dpeaa)DE-He213 Russia (dpeaa)DE-He213 Tatonova, Yulia V. aut Enthalten in Parasitology research Berlin : Springer, 1928 121(2022), 3 vom: 08. Feb., Seite 915-923 (DE-627)254638627 (DE-600)1462976-8 1432-1955 nnns volume:121 year:2022 number:3 day:08 month:02 pages:915-923 https://dx.doi.org/10.1007/s00436-022-07456-0 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_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_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_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_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_4393 GBV_ILN_4700 AR 121 2022 3 08 02 915-923
language	English
source	Enthalten in Parasitology research 121(2022), 3 vom: 08. Feb., Seite 915-923 volume:121 year:2022 number:3 day:08 month:02 pages:915-923
sourceStr	Enthalten in Parasitology research 121(2022), 3 vom: 08. Feb., Seite 915-923 volume:121 year:2022 number:3 day:08 month:02 pages:915-923
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Complete sequences Russia
isfreeaccess_bool	false
container_title	Parasitology research
authorswithroles_txt_mv	Shumenko, Polina G. @@aut@@ Tatonova, Yulia V. @@aut@@
publishDateDaySort_date	2022-02-08T00:00:00Z
hierarchy_top_id	254638627
id	SPR046283064
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author	Shumenko, Polina G.
spellingShingle	Shumenko, Polina G. misc Complete sequences misc Russia Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers
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topic_title	Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers Complete sequences (dpeaa)DE-He213 Russia (dpeaa)DE-He213
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title	Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers
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title_full	Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers
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title_sort	assessing the population structure of trematode metagonimus suifunensis using three mitochondrial markers
title_auth	Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers
abstract	Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
abstractGer	Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
abstract_unstemmed	Abstract In this work, for the first time, the genetic variability of the Metagonimus suifunensis population in the Russian southern Far East was estimated based on the full-length sequences of the nad1 gene of mitochondrial DNA. In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
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title_short	Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers
url	https://dx.doi.org/10.1007/s00436-022-07456-0
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up_date	2024-07-03T21:33:54.278Z
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In addition, for a sample of the same size, the sequences of cox1 and cytb genes, previously used for population studies for M. suifunensis, were reanalysed. Three markers were combined to a common sequence, and the obtained data were studied. Despite the higher level of variability, nad1 and cox1 mtDNA genes did not reveal subdivisions within the population. The combined dataset made it possible to determine that the sample from the Odyr River was the centre of the species’ range formation and clarified the continental migration route of the parasite from south to north. According to the data obtained, it was presumed that piscivorous birds participate in the life cycle of the parasite. The subdivision within population revealed that using all three mitochondrial markers is consistent with the features of differentiation within populations of related species, but the reasons for its formation remain unclear due to the insufficient amount of data and the use of different markers in studies of different species.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complete sequences</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Russia</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tatonova, Yulia V.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Parasitology research</subfield><subfield code="d">Berlin : Springer, 1928</subfield><subfield code="g">121(2022), 3 vom: 08. 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Assessing the population structure of trematode Metagonimus suifunensis using three mitochondrial markers

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