Evolutionary Applications (EVOL APPL)

Publisher: Wiley Open Access

Journal description

Current impact factor: 4.57

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 4.569
2012 Impact Factor 4.153
2011 Impact Factor 4.916
2010 Impact Factor 5.145
2009 Impact Factor 4.744
2008 Impact Factor 0

Impact factor over time

Impact factor
Year

Additional details

5-year impact 4.76
Cited half-life 3.00
Immediacy index 0.87
Eigenfactor 0.01
Article influence 1.73
ISSN 1752-4571
OCLC 316808120
Material type Document, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Wiley Open Access

  • Pre-print
    • Archiving status unclear
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Creative Commons Attribution License
    • Authors retain copyright
    • On open access repositories and any website
    • Hosting site must incorporate publisher-supplied amendments or retractions issued
    • Published source must be acknowledged including article DOI
    • Articles published prior to 14 August 2012, are published under a Creative Commons Attribution Non-Commercial License or another License
    • Publisher's version/PDF may be used
    • All titles are open access journals
    • 'Wiley Open Access' is an imprint of 'Wiley'
  • Classification
    ​ blue

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: The management of genes conferring resistance to plant pathogens should make it possible to control epidemics (epidemiological perspective) and preserve resistance durability (evolutionary perspective). Resistant and susceptible cultivars must be strategically associated according to the principles of cultivar mixture (within a season) and rotation (between seasons). We explored these questions by modeling the evolutionary and epidemiological processes shaping the dynamics of a pathogen population in a landscape composed of a seasonal cultivated compartment and a reservoir compartment hosting pathogen year-round. Optimal deployment strategies depended mostly on the molecular basis of plant-pathogen interactions and on the agro-ecological context before resistance deployment, particularly epidemic intensity and landscape connectivity. Mixtures were much more efficient in landscapes in which between-field infections and infections originating from the reservoir were more prevalent than within-field infections. Resistance genes requiring two mutations of the pathogen avriulence gene to be broken down, rather than one, were particularly useful when infections from the reservoir predominated. Combining mixture and rotation principles were better than the use of the same mixture each season as (i) they controlled epidemics more effectively in situations in which within-field infections or infections from the reservoir were frequent and (ii) they fulfilled the epidemiological and evolutionary perspectives.This article is protected by copyright. All rights reserved.
    Evolutionary Applications 08/2015; DOI:10.1111/eva.12304
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    ABSTRACT: Research on the dynamics of biodiversity has progressed tremendously over recent years, though in two separate directions – ecological, to determine change over space at a given time, and evolutionary, to understand change over time. Integration of these approaches has remained elusive. Archipelagoes with a known geological chronology provide an opportunity to study ecological interactions over evolutionary time. Here, I focus on the Hawaiian archipelago and summarize the development of ecological, and evolutionary research; I emphasize spiders because they have attributes allowing analysis of ecological affinities in concert with diversification. Within this framework, I highlight recent insights from the island chronosequence, in particular the importance of (1) fusion and fission in fostering diversification; (2) variability upon which selection can act; and (3) selection and genetic drift in generating diversity. Insights into biodiversity dynamics at the nexus of ecology and evolution are now achievable by integrating new tools, in particular: (1) ecological metrics (interaction networks, maximum entropy inference) across the chronosequence to uncover community dynamics; and (2) genomic tools to understand contemporaneous microevolutionary change. The work can inform applications of invasion and restoration ecology by elucidating the importance of changes in abundances, interaction strengths, and rates of evolutionary response in shaping biodiversity.This article is protected by copyright. All rights reserved.
    Evolutionary Applications 08/2015; DOI:10.1111/eva.12302
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    ABSTRACT: From cells to societies, several general principles arise again and again that facilitate cooperation and suppress conflict. In this paper, I describe three general principles of cooperation and how they operate across systems including human sharing, cooperation in animal and insect societies and the massively large-scale cooperation that occurs in our multicellular bodies. The first principle is that of Walk Away: that cooperation is enhanced when individuals can leave uncooperative partners. The second principle is that sharing of resources is often based on the need of the recipient (i.e. need-based transfers) rather than on strict account-keeping rules. And the last principle is that effective scaling up of cooperation requires increasingly sophisticated and costly cheater suppression mechanisms. By comparing how these principles operate across systems we can better understand the constraints on cooperation. This can facilitate the discovery of novel ways to enhance cooperation and suppress cheating in its many forms, from social exploitation to cancer.This article is protected by copyright. All rights reserved.
    Evolutionary Applications 08/2015; DOI:10.1111/eva.12303
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    Evolutionary Applications 08/2015; 8(7):633-4. DOI:10.1111/eva.12292
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    Evolutionary Applications 07/2015; 8(6):525-6. DOI:10.1111/eva.12279
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    ABSTRACT: Geographic variation in trees has been investigated since the mid-18th century. Similar patterns of clinal variation have been observed along latitudinal and elevational gradients in common garden experiments for many temperate and boreal species. These studies convinced forest managers that a “local is best” seed source policy was usually safest for reforestation. In recent decades, experimental design, phenotyping methods, climatic data and statistical analyses have improved greatly, and refined but not radically changed knowledge of clines. The maintenance of local adaptation despite high gene flow suggests selection for local adaptation to climate is strong. Concerns over maladaptation resulting from climate change have motivated many new genecological and population genomics studies; however, few jurisdictions have implemented assisted gene flow, the translocation of pre-adapted individuals to facilitate adaptation of planted forests to climate change. Here we provide evidence that temperate tree species show clines along climatic gradients sufficiently similar for average patterns or climate models to guide assisted gene flow in the absence of species-specific knowledge. Composite provenancing of multiple seed sources can be used to increase diversity and buffer against future climate uncertainty. New knowledge will continue to refine and improve assisted gene flow as climates warm further.This article is protected by copyright. All rights reserved.
    Evolutionary Applications 07/2015; DOI:10.1111/eva.12293
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    ABSTRACT: Predicting the emergence, spread and evolution of parasites within and among host populations requires insight to both the spatial and temporal scales of adaptation, including an understanding of within-host up through community level dynamics. Although there are very few pathosystems for which such extensive data exist, there has been a recent push to integrate studies performed over multiple scales or to simultaneously test for dynamics occurring across scales. Drawing on examples from the literature, with primary emphasis on three diverse host–parasite case studies, we first examine current understanding of the spatial structure of host and parasite populations, including patterns of local adaptation and spatial variation in host resistance and parasite infectivity. We then explore the ways to measure temporal variation and dynamics in host–parasite interactions, and discuss the need to examine change over both ecological and evolutionary timescales. Finally, we highlight new approaches and syntheses that allow for simultaneous analysis of dynamics across scales, and argue that there is great added value in examining interplay among scales in studies of host–parasite interactions.This article is protected by copyright. All rights reserved.
    Evolutionary Applications 07/2015; DOI:10.1111/eva.12294
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    ABSTRACT: Behaviour is a central focus of interest in biology because it has an impact on several aspects of an organism's life. Evolutionary biologists have realised the advantage of an integrative approach that jointly studies the molecular, cellular, and physiological levels of an individual to link them with the organismal behavioural phenotype. First, this mechanistic information helps understanding physiological and evolutionary constraints acting on the behavioural response to the environment and its evolution. Second, it furthers our understanding of the process of molecular convergent evolution. Finally, we learn about natural variation in molecular, cellular and physiological traits present in wild populations and their underlying genetic basis, which can be a substrate for selection to act on. I illustrate these points using our work on behaviour variation in fishes. The information on the mechanistic bases of behaviour variation in various species and behaviours will contribute to an ecological annotation of genes and to uncover new mechanisms implicated in how this astonishing behavioural diversity arose, is maintained and will evolve.This article is protected by copyright. All rights reserved.
    Evolutionary Applications 07/2015; DOI:10.1111/eva.12300
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    ABSTRACT: I review theoretical models for the evolution of supergenes in the cases of Batesian mimicry in butterflies, distylous plants, and sex chromosomes. For each of these systems, I outline the genetic evidence that led to the proposal that they involve multiple genes that interact during “complex adaptations”, and at which the mutations involved are not unconditionally advantageous, but show advantages that trade-off against some disadvantages. I describe recent molecular genetic studies of these systems, and questions they raise about the evolution of suppressed recombination. Non-recombining regions of sex chromosomes have long been known, but it is not yet fully understood why recombination suppression repeatedly evolved in systems in distantly related taxa, but does not always evolve. Recent studies of distylous plants are tending to support the existence of recombination-suppressed genome regions, which may include modest numbers of genes and resemble recently evolved sex-linked regions. For Batesian mimicry, however, molecular genetic work in two butterfly species suggests a new supergene scenario, with a single gene mutating to produce initial adaptive phenotypes, perhaps followed by modifiers specifically refining and perfecting the new phenotype.This article is protected by copyright. All rights reserved.
    Evolutionary Applications 06/2015; DOI:10.1111/eva.12291
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    ABSTRACT: Strong human-mediated selection via herbicide application in agroecosystems has repeatedly led to the evolution of resistance in weedy plants. Although resistance can occur among separate populations of a species across the landscape, the spatial scale of resistance in many weeds is often left unexamined. We assessed the potential that resistance to the herbicide glyphosate in the agricultural weed Ipomoea purpurea has evolved independently multiple times across its North American range. We examined both adaptive and neutral genetic variation in 44 populations of I. purpurea by pairing a replicated dose-response greenhouse experiment with SSR genotyping of experimental individuals. We uncovered a mosaic pattern of resistance across the landscape, with some populations exhibiting high survival post-herbicide and other populations showing high death. SSR genotyping revealed little evidence of isolation by distance and very little neutral genetic structure associated with geography. An approximate Bayesian computation (ABC) analysis uncovered evidence for migration and admixture among populations before the widespread use of glyphosate rather than very recent contemporary gene flow. The pattern of adaptive and neutral genetic variation indicates that resistance in this mixed-mating weed species appears to have evolved in independent hotspots rather than through transmission of resistance alleles across the landscape.This article is protected by copyright. All rights reserved.
    Evolutionary Applications 06/2015; DOI:10.1111/eva.12290