Evidence map›Paper›PMID 32152533›Full record

ArticleNature ecology & evolution2020

Coexistence of nestedness and modularity in host-pathogen infection networks.

Sergi Valverde, Blai Vidiella, Raúl Montañez, Aurora Fraile, Soledad Sacristán, Fernando García-Arenal

Abstract read
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In one paragraph

Article in Nature ecology & evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  18. Infectious disease macroecology: parasite diversity and dynamics across the globe.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sergi ValverdeEvolution of Technology Laboratory, Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, Barcelona, Spain. sergi.valverde@ibe.upf-csic.es.ORCID http://orcid.org/0000-0002-2150-9610
Blai VidiellaICREA-Complex Systems Laboratory, Health and Experimental Science Department, Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0002-4819-7047
Raúl MontañezICREA-Complex Systems Laboratory, Health and Experimental Science Department, Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, Barcelona, Spain.
Aurora FraileCentro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM) and Instituto nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, Madrid, Spain.
Soledad SacristánCentro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM) and Instituto nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, Madrid, Spain.
Fernando García-ArenalCentro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM) and Instituto nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, Madrid, Spain. fernando.garciaarenal@upm.es.ORCID http://orcid.org/0000-0002-5327-3200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-term coevolution of hosts and pathogens in their environment forms a complex web of multi-scale interactions. Understanding how environmental heterogeneity affects the structure of host-pathogen networks is a prerequisite for predicting disease dynamics and emergence. Although nestedness is common in ecological networks, and theory suggests that nested ecosystems are less prone to dynamic instability, why nestedness varies in time and space is not fully understood. Many studies have been limited by a focus on single habitats and the absence of a link between spatial variation and structural heterogeneity such as nestedness and modularity. Here we propose a neutral model for the evolution of host-pathogen networks in multiple habitats. In contrast to previous studies, our study proposes that local modularity can coexist with global nestedness, and shows that real ecosystems are found in a continuum between nested-modular and nested networks driven by intraspecific competition. Nestedness depends on neutral mechanisms of community assembly, whereas modularity is contingent on local adaptation and competition. The structural pattern may change spatially and temporally but remains stable over evolutionary timescales. We validate our theoretical predictions with a longitudinal study of plant-virus interactions in a heterogeneous agricultural landscape.

Indexed as

EcosystemInfectionsHumansLongitudinal Studies

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.