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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/217945
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:37:48Zoai: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:34982025-09-29 10:37:49.083CONICET 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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1844614399475580928 |
score |
13.070432 |