Evidence map›Paper›PMID 29761320›Full record

ArticleOecologia2018

Strong specificity and network modularity at a very fine phylogenetic scale in the lichen genus Peltigera.

P L Chagnon, N Magain, J Miadlikowska, F Lutzoni

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Oecologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.8field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 33 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

P L ChagnonDépartment des Sciences Biologiques, Institut de Recherche en Biologie Végétale, Université de Montréal, 4101 rue Sherbrooke Est, Montréal, QC, H1X 2B2, Canada. pierre-luc.chagnon@umontreal.ca.ORCID 0000-0002-5054-5813
N MagainDepartment of Biology, Duke University, Durham, NC, 27708, USA.
J MiadlikowskaDepartment of Biology, Duke University, Durham, NC, 27708, USA.
F LutzoniDepartment of Biology, Duke University, Durham, NC, 27708, USA.
Duke University · USEspace pour la vie · CA

Funding

National Science Foundation DEB-1025930National Science Foundation DEB-1556995
6 · The paper itself

Abstract

Identifying the drivers and evolutionary consequences of species interactions is a major goal of community ecology. Network-based analyses can provide mathematical tools to detect non-random patterns of interactions, and potentially help predicting the consequences of such patterns on evolutionary dynamics of symbiotic systems. Here, we characterize the structure of a lichen network at a very fine phylogenetic scale, by identifying the photosynthetic partners (i.e., cyanobacteria of the genus Nostoc) of lichenized fungi belonging to a monophyletic section of a single genus (i.e., section Polydactylon of the genus Peltigera), worldwide. Even at such a fine phylogenetic scale, we found that interactions were highly modular and anti-nested, indicating strong preferences in interactions. When considering local Peltigera communities, i.e., datasets at small spatial scales with only a slightly broader phylogenetic range, interactions remained modular but were asymmetric, with generalist Nostoc partners interacting with specialized Peltigera species. This asymmetry was not detected with our global spatial scale dataset. We discuss these results in the light of lichen community assembly, and explore how such interaction patterns may influence coevolution in lichens and the evolutionary stability of the mutualism in general.

Indexed as

AscomycotaLichensNostocPhylogenySymbiosisCyanolichensMutualismNostocPartner selectionSymbiosis

Identifiers

PMID29761320
OpenAlexW2803687597

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.