Evidence map›Paper›PMID 36795638›Full record

ArticleMolecular biology and evolution2023

Putative Signals of Generalist Plant Species Adaptation to Local Pollinator Communities and Abiotic Factors.

Léa Frachon, Luca Arrigo, Quint Rusman, Lucy Poveda, Weihong Qi, Giovanni Scopece, Florian P Schiestl

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Article in Molecular biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  9. Genetic architecture of the response ofFrontiers in plant science · 2023
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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

7 authors.

Léa FrachonDepartment of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-8990-1419
Luca ArrigoDepartment of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland.
Quint RusmanDepartment of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland.
Lucy PovedaFunctional Genomics Center Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland.
Weihong QiFunctional Genomics Center Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland.ORCID 0000-0001-8581-908X
Giovanni ScopeceDepartment of Biology, University of Naples Federico II, Complesso Universitario MSA, Naples, Italy.ORCID 0000-0003-0341-6231
Florian P SchiestlDepartment of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reproductive success of flowering plants with generalized pollination systems is influenced by interactions with a diverse pollinator community and abiotic factors. However, knowledge about the adaptative potential of plants to complex ecological networks and the underlying genetic mechanisms is still limited. Based on a pool-sequencing approach of 21 natural populations of Brassica incana in Southern Italy, we combined a genome-environmental association analysis with a genome scan for signals of population genomic differentiation to discover genetic variants associated with the ecological variation. We identified genomic regions putatively involved in the adaptation of B. incana to the identity of local pollinator functional categories and pollinator community composition. Interestingly, we observed several shared candidate genes associated with long-tongue bees, soil texture, and temperature variation. We established a genomic map of potential generalist flowering plant local adaptation to complex biotic interactions, and the importance of considering multiple environmental factors to describe the adaptive landscape of plant populations.

Indexed as

FlowersMagnoliopsidaAdaptation, PhysiologicalAnimalsBeesPlantsPollinationReproductionBrassica incanageneralist-pollinated plant speciesgenome-environmental associationlocal adaptationnatural populationsplant–pollinator interactions

Identifiers

PMID36795638
PMCPMC10015620

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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.