Nestedness across biological scales
- Autores
- Cantor, Mauricio; Pires, Mathias M.; Marquitti, Flavia M. D.; Raimundo, Rafael L. G.; Sebastián González, Esther; Coltri, Patricia P.; Pérez, Sergio Iván; Barneche, Diego R.; Brandt, Débora Y. C.; Nunes, Kelly; Daura Jorge, Fábio G.; Floeter, Sergio R.; Guimarães Jr., Paulo R.
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Biological networks pervade nature. They describe systems throughout all levels of biological organization, from molecules regulating metabolism to species interactions that shape ecosystem dynamics. The network thinking revealed recurrent organizational patterns in complex biological systems, such as the formation of semi-independent groups of connected elements (modularity) and non-random distributions of interactions among elements. Other structural patterns, such as nestedness, have been primarily assessed in ecological networks formed by two non-overlapping sets of elements; information on its occurrence on other levels of organization is lacking. Nestedness occurs when interactions of less connected elements form proper subsets of the interactions of more connected elements. Only recently these properties began to be appreciated in one-mode networks (where all elements can interact) which describe a much wider variety of biological phenomena. Here, we compute nestedness in a diverse collection of one-mode networked systems from six different levels of biological organization depicting gene and protein interactions, complex phenotypes, animal societies, metapopulations, food webs and vertebrate metacommunities. Our findings suggest that nestedness emerge independently of interaction type or biological scale and reveal that disparate systems can share nested organization features characterized by inclusive subsets of interacting elements with decreasing connectedness. We primarily explore the implications of a nested structure for each of these studied systems, then theorize on how nested networks are assembled. We hypothesize that nestedness emerges across scales due to processes that, although system-dependent, may share a general.
Facultad de Ciencias Naturales y Museo - Materia
-
Ciencias Naturales
Ciencias Exactas
networks
food webs - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/87366
Ver los metadatos del registro completo
| id |
SEDICI_cfa3e5ff8153422479fb1d1a5bcb271f |
|---|---|
| oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/87366 |
| network_acronym_str |
SEDICI |
| repository_id_str |
1329 |
| network_name_str |
SEDICI (UNLP) |
| spelling |
Nestedness across biological scalesCantor, MauricioPires, Mathias M.Marquitti, Flavia M. D.Raimundo, Rafael L. G.Sebastián González, EstherColtri, Patricia P.Pérez, Sergio IvánBarneche, Diego R.Brandt, Débora Y. C.Nunes, KellyDaura Jorge, Fábio G.Floeter, Sergio R.Guimarães Jr., Paulo R.Ciencias NaturalesCiencias Exactasnetworksfood websBiological networks pervade nature. They describe systems throughout all levels of biological organization, from molecules regulating metabolism to species interactions that shape ecosystem dynamics. The network thinking revealed recurrent organizational patterns in complex biological systems, such as the formation of semi-independent groups of connected elements (modularity) and non-random distributions of interactions among elements. Other structural patterns, such as nestedness, have been primarily assessed in ecological networks formed by two non-overlapping sets of elements; information on its occurrence on other levels of organization is lacking. Nestedness occurs when interactions of less connected elements form proper subsets of the interactions of more connected elements. Only recently these properties began to be appreciated in one-mode networks (where all elements can interact) which describe a much wider variety of biological phenomena. Here, we compute nestedness in a diverse collection of one-mode networked systems from six different levels of biological organization depicting gene and protein interactions, complex phenotypes, animal societies, metapopulations, food webs and vertebrate metacommunities. Our findings suggest that nestedness emerge independently of interaction type or biological scale and reveal that disparate systems can share nested organization features characterized by inclusive subsets of interacting elements with decreasing connectedness. We primarily explore the implications of a nested structure for each of these studied systems, then theorize on how nested networks are assembled. We hypothesize that nestedness emerges across scales due to processes that, although system-dependent, may share a general.Facultad de Ciencias Naturales y Museo2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/87366enginfo:eu-repo/semantics/altIdentifier/issn/1932-6203info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0171691info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-26T09:55:14Zoai:sedici.unlp.edu.ar:10915/87366Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-26 09:55:14.669SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Nestedness across biological scales |
| title |
Nestedness across biological scales |
| spellingShingle |
Nestedness across biological scales Cantor, Mauricio Ciencias Naturales Ciencias Exactas networks food webs |
| title_short |
Nestedness across biological scales |
| title_full |
Nestedness across biological scales |
| title_fullStr |
Nestedness across biological scales |
| title_full_unstemmed |
Nestedness across biological scales |
| title_sort |
Nestedness across biological scales |
| dc.creator.none.fl_str_mv |
Cantor, Mauricio Pires, Mathias M. Marquitti, Flavia M. D. Raimundo, Rafael L. G. Sebastián González, Esther Coltri, Patricia P. Pérez, Sergio Iván Barneche, Diego R. Brandt, Débora Y. C. Nunes, Kelly Daura Jorge, Fábio G. Floeter, Sergio R. Guimarães Jr., Paulo R. |
| author |
Cantor, Mauricio |
| author_facet |
Cantor, Mauricio Pires, Mathias M. Marquitti, Flavia M. D. Raimundo, Rafael L. G. Sebastián González, Esther Coltri, Patricia P. Pérez, Sergio Iván Barneche, Diego R. Brandt, Débora Y. C. Nunes, Kelly Daura Jorge, Fábio G. Floeter, Sergio R. Guimarães Jr., Paulo R. |
| author_role |
author |
| author2 |
Pires, Mathias M. Marquitti, Flavia M. D. Raimundo, Rafael L. G. Sebastián González, Esther Coltri, Patricia P. Pérez, Sergio Iván Barneche, Diego R. Brandt, Débora Y. C. Nunes, Kelly Daura Jorge, Fábio G. Floeter, Sergio R. Guimarães Jr., Paulo R. |
| author2_role |
author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Ciencias Naturales Ciencias Exactas networks food webs |
| topic |
Ciencias Naturales Ciencias Exactas networks food webs |
| dc.description.none.fl_txt_mv |
Biological networks pervade nature. They describe systems throughout all levels of biological organization, from molecules regulating metabolism to species interactions that shape ecosystem dynamics. The network thinking revealed recurrent organizational patterns in complex biological systems, such as the formation of semi-independent groups of connected elements (modularity) and non-random distributions of interactions among elements. Other structural patterns, such as nestedness, have been primarily assessed in ecological networks formed by two non-overlapping sets of elements; information on its occurrence on other levels of organization is lacking. Nestedness occurs when interactions of less connected elements form proper subsets of the interactions of more connected elements. Only recently these properties began to be appreciated in one-mode networks (where all elements can interact) which describe a much wider variety of biological phenomena. Here, we compute nestedness in a diverse collection of one-mode networked systems from six different levels of biological organization depicting gene and protein interactions, complex phenotypes, animal societies, metapopulations, food webs and vertebrate metacommunities. Our findings suggest that nestedness emerge independently of interaction type or biological scale and reveal that disparate systems can share nested organization features characterized by inclusive subsets of interacting elements with decreasing connectedness. We primarily explore the implications of a nested structure for each of these studied systems, then theorize on how nested networks are assembled. We hypothesize that nestedness emerges across scales due to processes that, although system-dependent, may share a general. Facultad de Ciencias Naturales y Museo |
| description |
Biological networks pervade nature. They describe systems throughout all levels of biological organization, from molecules regulating metabolism to species interactions that shape ecosystem dynamics. The network thinking revealed recurrent organizational patterns in complex biological systems, such as the formation of semi-independent groups of connected elements (modularity) and non-random distributions of interactions among elements. Other structural patterns, such as nestedness, have been primarily assessed in ecological networks formed by two non-overlapping sets of elements; information on its occurrence on other levels of organization is lacking. Nestedness occurs when interactions of less connected elements form proper subsets of the interactions of more connected elements. Only recently these properties began to be appreciated in one-mode networks (where all elements can interact) which describe a much wider variety of biological phenomena. Here, we compute nestedness in a diverse collection of one-mode networked systems from six different levels of biological organization depicting gene and protein interactions, complex phenotypes, animal societies, metapopulations, food webs and vertebrate metacommunities. Our findings suggest that nestedness emerge independently of interaction type or biological scale and reveal that disparate systems can share nested organization features characterized by inclusive subsets of interacting elements with decreasing connectedness. We primarily explore the implications of a nested structure for each of these studied systems, then theorize on how nested networks are assembled. We hypothesize that nestedness emerges across scales due to processes that, although system-dependent, may share a general. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo 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://sedici.unlp.edu.ar/handle/10915/87366 |
| url |
http://sedici.unlp.edu.ar/handle/10915/87366 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/1932-6203 info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0171691 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
| reponame_str |
SEDICI (UNLP) |
| collection |
SEDICI (UNLP) |
| instname_str |
Universidad Nacional de La Plata |
| instacron_str |
UNLP |
| institution |
UNLP |
| repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
| repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
| _version_ |
1849875995757117440 |
| score |
13.011256 |