Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology

Autores
Elshafey, Naglaa; Selim, Samy; Mohammed, Asmaa H.; Hagagy, Nashwa; Samy, Mennatalla; Mostafa, Ehab M.; Safhi, Fatmah A.; Alshamrani, Salha M.; Saddiq, Amna; Alsharari, Salam S.; Aseel, Dalia G.; Hafiz, Iram; Elkelish, Amr; Perez, Leonardo Martin
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The haloarchaeal diversity of four hypersaline alkaline lakes from the Wadi El-Natrun depression (Northern Egypt) was investigated using culture-independent polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) of 16S rRNA gene phylotypes, which was combined with remote sensing and geographic information system (GIS) data to highlight the distribution pattern of the microbial diversity in water and sediment samples. The majority of archaeal sequences identified in all four lakes belonged to the phyla Euryarchaeota and Crenarchaeota. Sediment samples from Beida Lake and water samples from El-Hamra Lake showed the highest levels of archaeal diversity. Sequence similarities ≥ 95% were found between six of the acquired clones and uncultured Halorhabdus, Euryarchaeota, and archaeon clones. In addition, two clones shared a high level of sequence similarity (97%) with unclassified archaea, while other nine clones exhibited 96% to 99% sequence similarity with uncultured archaeon clones, and only one clone showed 97% identity with an uncultured Crenarchaeota. Likewise, 7 DGGE bands presented a sequence similarity of 90 to 98% to Halogranum sp., Halalkalicoccus tibetensis, Halalkalicoccus jeotgali, uncultured Halorubrum, Halobacteriaceae sp., or uncultured haloarchaeon. In conclusion, while the variety of alkaliphilic haloarchaea in the examined soda lakes was restricted, the possibility of uncovering novel species for biotechnological applications from these extreme habitats remains promising.
Fil: Elshafey, Naglaa. Al-arish University; Egipto
Fil: Selim, Samy. Jouf University; Arabia Saudita
Fil: Mohammed, Asmaa H.. National Authority For Remote Sensing And Space Science; Egipto
Fil: Hagagy, Nashwa. Suez Canal University; Egipto. University Of Jeddah; Arabia Saudita
Fil: Samy, Mennatalla. Higher Institute Of Engineering; Egipto
Fil: Mostafa, Ehab M.. Jouf University; Arabia Saudita
Fil: Safhi, Fatmah A.. Princess Nourah Bint Abdulrahman University; Arabia Saudita
Fil: Alshamrani, Salha M.. University Of Jeddah; Arabia Saudita
Fil: Saddiq, Amna. University Of Jeddah; Arabia Saudita
Fil: Alsharari, Salam S.. Jouf University; Arabia Saudita
Fil: Aseel, Dalia G.. Arid Lands Cultivation Research Institut; Egipto
Fil: Hafiz, Iram. University Of Sargodha; Pakistán
Fil: Elkelish, Amr. Suez Canal University; Egipto
Fil: Perez, Leonardo Martin. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Facultad de Química e Ingeniería-Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
Materia
DGGE
GIS-INTEGRATED REMOTE SENSING DATA
HALOALKALIPHILIC ARCHAEA
MICROBIAL DIVERSITY MAPPING
SODA LAKES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/217945
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/217945
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS TechnologyElshafey, NaglaaSelim, SamyMohammed, Asmaa H.Hagagy, NashwaSamy, MennatallaMostafa, Ehab M.Safhi, Fatmah A.Alshamrani, Salha M.Saddiq, AmnaAlsharari, Salam S.Aseel, Dalia G.Hafiz, IramElkelish, AmrPerez, Leonardo MartinDGGEGIS-INTEGRATED REMOTE SENSING DATAHALOALKALIPHILIC ARCHAEAMICROBIAL DIVERSITY MAPPINGSODA LAKEShttps://purl.org/becyt/ford/2.8https://purl.org/becyt/ford/2The haloarchaeal diversity of four hypersaline alkaline lakes from the Wadi El-Natrun depression (Northern Egypt) was investigated using culture-independent polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) of 16S rRNA gene phylotypes, which was combined with remote sensing and geographic information system (GIS) data to highlight the distribution pattern of the microbial diversity in water and sediment samples. The majority of archaeal sequences identified in all four lakes belonged to the phyla Euryarchaeota and Crenarchaeota. Sediment samples from Beida Lake and water samples from El-Hamra Lake showed the highest levels of archaeal diversity. Sequence similarities ≥ 95% were found between six of the acquired clones and uncultured Halorhabdus, Euryarchaeota, and archaeon clones. In addition, two clones shared a high level of sequence similarity (97%) with unclassified archaea, while other nine clones exhibited 96% to 99% sequence similarity with uncultured archaeon clones, and only one clone showed 97% identity with an uncultured Crenarchaeota. Likewise, 7 DGGE bands presented a sequence similarity of 90 to 98% to Halogranum sp., Halalkalicoccus tibetensis, Halalkalicoccus jeotgali, uncultured Halorubrum, Halobacteriaceae sp., or uncultured haloarchaeon. In conclusion, while the variety of alkaliphilic haloarchaea in the examined soda lakes was restricted, the possibility of uncovering novel species for biotechnological applications from these extreme habitats remains promising.Fil: Elshafey, Naglaa. Al-arish University; EgiptoFil: Selim, Samy. Jouf University; Arabia SauditaFil: Mohammed, Asmaa H.. National Authority For Remote Sensing And Space Science; EgiptoFil: Hagagy, Nashwa. Suez Canal University; Egipto. University Of Jeddah; Arabia SauditaFil: Samy, Mennatalla. Higher Institute Of Engineering; EgiptoFil: Mostafa, Ehab M.. Jouf University; Arabia SauditaFil: Safhi, Fatmah A.. Princess Nourah Bint Abdulrahman University; Arabia SauditaFil: Alshamrani, Salha M.. University Of Jeddah; Arabia SauditaFil: Saddiq, Amna. University Of Jeddah; Arabia SauditaFil: Alsharari, Salam S.. Jouf University; Arabia SauditaFil: Aseel, Dalia G.. Arid Lands Cultivation Research Institut; EgiptoFil: Hafiz, Iram. University Of Sargodha; PakistánFil: Elkelish, Amr. Suez Canal University; EgiptoFil: Perez, Leonardo Martin. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Facultad de Química e Ingeniería-Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaMDPI2022-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/217945Elshafey, Naglaa; Selim, Samy; Mohammed, Asmaa H.; Hagagy, Nashwa; Samy, Mennatalla; et al.; Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology; MDPI; Fermentation; 8; 8; 7-2022; 1-172311-5637CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2311-5637/8/8/365info:eu-repo/semantics/altIdentifier/doi/10.3390/fermentation8080365info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:09:58Zoai:ri.conicet.gov.ar:11336/217945instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:09:59.19CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology
title Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology
spellingShingle Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology
Elshafey, Naglaa
DGGE
GIS-INTEGRATED REMOTE SENSING DATA
HALOALKALIPHILIC ARCHAEA
MICROBIAL DIVERSITY MAPPING
SODA LAKES
title_short Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology
title_full Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology
title_fullStr Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology
title_full_unstemmed Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology
title_sort Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology
dc.creator.none.fl_str_mv Elshafey, Naglaa
Selim, Samy
Mohammed, Asmaa H.
Hagagy, Nashwa
Samy, Mennatalla
Mostafa, Ehab M.
Safhi, Fatmah A.
Alshamrani, Salha M.
Saddiq, Amna
Alsharari, Salam S.
Aseel, Dalia G.
Hafiz, Iram
Elkelish, Amr
Perez, Leonardo Martin
author Elshafey, Naglaa
author_facet Elshafey, Naglaa
Selim, Samy
Mohammed, Asmaa H.
Hagagy, Nashwa
Samy, Mennatalla
Mostafa, Ehab M.
Safhi, Fatmah A.
Alshamrani, Salha M.
Saddiq, Amna
Alsharari, Salam S.
Aseel, Dalia G.
Hafiz, Iram
Elkelish, Amr
Perez, Leonardo Martin
author_role author
author2 Selim, Samy
Mohammed, Asmaa H.
Hagagy, Nashwa
Samy, Mennatalla
Mostafa, Ehab M.
Safhi, Fatmah A.
Alshamrani, Salha M.
Saddiq, Amna
Alsharari, Salam S.
Aseel, Dalia G.
Hafiz, Iram
Elkelish, Amr
Perez, Leonardo Martin
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv DGGE
GIS-INTEGRATED REMOTE SENSING DATA
HALOALKALIPHILIC ARCHAEA
MICROBIAL DIVERSITY MAPPING
SODA LAKES
topic DGGE
GIS-INTEGRATED REMOTE SENSING DATA
HALOALKALIPHILIC ARCHAEA
MICROBIAL DIVERSITY MAPPING
SODA LAKES
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.8
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The haloarchaeal diversity of four hypersaline alkaline lakes from the Wadi El-Natrun depression (Northern Egypt) was investigated using culture-independent polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) of 16S rRNA gene phylotypes, which was combined with remote sensing and geographic information system (GIS) data to highlight the distribution pattern of the microbial diversity in water and sediment samples. The majority of archaeal sequences identified in all four lakes belonged to the phyla Euryarchaeota and Crenarchaeota. Sediment samples from Beida Lake and water samples from El-Hamra Lake showed the highest levels of archaeal diversity. Sequence similarities ≥ 95% were found between six of the acquired clones and uncultured Halorhabdus, Euryarchaeota, and archaeon clones. In addition, two clones shared a high level of sequence similarity (97%) with unclassified archaea, while other nine clones exhibited 96% to 99% sequence similarity with uncultured archaeon clones, and only one clone showed 97% identity with an uncultured Crenarchaeota. Likewise, 7 DGGE bands presented a sequence similarity of 90 to 98% to Halogranum sp., Halalkalicoccus tibetensis, Halalkalicoccus jeotgali, uncultured Halorubrum, Halobacteriaceae sp., or uncultured haloarchaeon. In conclusion, while the variety of alkaliphilic haloarchaea in the examined soda lakes was restricted, the possibility of uncovering novel species for biotechnological applications from these extreme habitats remains promising.
Fil: Elshafey, Naglaa. Al-arish University; Egipto
Fil: Selim, Samy. Jouf University; Arabia Saudita
Fil: Mohammed, Asmaa H.. National Authority For Remote Sensing And Space Science; Egipto
Fil: Hagagy, Nashwa. Suez Canal University; Egipto. University Of Jeddah; Arabia Saudita
Fil: Samy, Mennatalla. Higher Institute Of Engineering; Egipto
Fil: Mostafa, Ehab M.. Jouf University; Arabia Saudita
Fil: Safhi, Fatmah A.. Princess Nourah Bint Abdulrahman University; Arabia Saudita
Fil: Alshamrani, Salha M.. University Of Jeddah; Arabia Saudita
Fil: Saddiq, Amna. University Of Jeddah; Arabia Saudita
Fil: Alsharari, Salam S.. Jouf University; Arabia Saudita
Fil: Aseel, Dalia G.. Arid Lands Cultivation Research Institut; Egipto
Fil: Hafiz, Iram. University Of Sargodha; Pakistán
Fil: Elkelish, Amr. Suez Canal University; Egipto
Fil: Perez, Leonardo Martin. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Facultad de Química e Ingeniería-Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
description The haloarchaeal diversity of four hypersaline alkaline lakes from the Wadi El-Natrun depression (Northern Egypt) was investigated using culture-independent polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) of 16S rRNA gene phylotypes, which was combined with remote sensing and geographic information system (GIS) data to highlight the distribution pattern of the microbial diversity in water and sediment samples. The majority of archaeal sequences identified in all four lakes belonged to the phyla Euryarchaeota and Crenarchaeota. Sediment samples from Beida Lake and water samples from El-Hamra Lake showed the highest levels of archaeal diversity. Sequence similarities ≥ 95% were found between six of the acquired clones and uncultured Halorhabdus, Euryarchaeota, and archaeon clones. In addition, two clones shared a high level of sequence similarity (97%) with unclassified archaea, while other nine clones exhibited 96% to 99% sequence similarity with uncultured archaeon clones, and only one clone showed 97% identity with an uncultured Crenarchaeota. Likewise, 7 DGGE bands presented a sequence similarity of 90 to 98% to Halogranum sp., Halalkalicoccus tibetensis, Halalkalicoccus jeotgali, uncultured Halorubrum, Halobacteriaceae sp., or uncultured haloarchaeon. In conclusion, while the variety of alkaliphilic haloarchaea in the examined soda lakes was restricted, the possibility of uncovering novel species for biotechnological applications from these extreme habitats remains promising.
publishDate 2022
dc.date.none.fl_str_mv 2022-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/217945
Elshafey, Naglaa; Selim, Samy; Mohammed, Asmaa H.; Hagagy, Nashwa; Samy, Mennatalla; et al.; Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology; MDPI; Fermentation; 8; 8; 7-2022; 1-17
2311-5637
CONICET Digital
CONICET
url http://hdl.handle.net/11336/217945
identifier_str_mv Elshafey, Naglaa; Selim, Samy; Mohammed, Asmaa H.; Hagagy, Nashwa; Samy, Mennatalla; et al.; Mapping Archaeal Diversity in Soda Lakes by Coupling 16S rRNA PCR-DGGE Analysis with Remote Sensing and GIS Technology; MDPI; Fermentation; 8; 8; 7-2022; 1-17
2311-5637
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2311-5637/8/8/365
info:eu-repo/semantics/altIdentifier/doi/10.3390/fermentation8080365
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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