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  • 1
    Publication Date: 2014-01-28
    Description: To resolve the mechanisms that switch competition to cooperation is key to understanding biological organization. This is particularly relevant for intrasexual competition, which often leads to males harming females. Recent theory proposes that kin selection may modulate female harm by relaxing competition among male relatives. Here we experimentally manipulate the relatedness of groups of male Drosophila melanogaster competing over females to demonstrate that, as expected, within-group relatedness inhibits male competition and female harm. Females exposed to groups of three brothers unrelated to the female had higher lifetime reproductive success and slower reproductive ageing compared to females exposed to groups of three males unrelated to each other. Triplets of brothers also fought less with each other, courted females less intensively and lived longer than triplets of unrelated males. However, associations among brothers may be vulnerable to invasion by minorities of unrelated males: when two brothers were matched with an unrelated male, the unrelated male sired on average twice as many offspring as either brother. These results demonstrate that relatedness can profoundly affect fitness through its modulation of intrasexual competition, as flies plastically adjust sexual behaviour in a manner consistent with kin-selection theory.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Carazo, Pau -- Tan, Cedric K W -- Allen, Felicity -- Wigby, Stuart -- Pizzari, Tommaso -- Wellcome Trust/United Kingdom -- England -- Nature. 2014 Jan 30;505(7485):672-5. doi: 10.1038/nature12949. Epub 2014 Jan 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK [2]. ; Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24463521" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Competitive Behavior/physiology ; *Cooperative Behavior ; Drosophila melanogaster/genetics/*physiology ; Female ; Heredity/physiology ; Longevity/genetics/physiology ; Male ; Models, Biological ; Reproduction/physiology ; Sexual Behavior, Animal/*physiology ; *Siblings
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2016-01-23
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Carazo, Pau -- Font, Enrique -- England -- Nature. 2016 Jan 21;529(7586):283. doi: 10.1038/529283d.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Valencia, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26791712" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2015-07-26
    Description: Motivation: In recent years, large-scale studies have been undertaken to describe, at least partially, protein-protein interaction maps, or interactomes, for a number of relevant organisms, including human. However, current interactomes provide a somehow limited picture of the molecular details involving protein interactions, mostly because essential experimental information, especially structural data, is lacking. Indeed, the gap between structural and interactomics information is enlarging and thus, for most interactions, key experimental information is missing. We elaborate on the observation that many interactions between proteins involve a pair of their constituent domains and, thus, the knowledge of how protein domains interact adds very significant information to any interactomic analysis. Results: In this work, we describe a novel use of the neighborhood cohesiveness property to infer interactions between protein domains given a protein interaction network. We have shown that some clustering coefficients can be extended to measure a degree of cohesiveness between two sets of nodes within a network. Specifically, we used the meet/min coefficient to measure the proportion of interacting nodes between two sets of nodes and the fraction of common neighbors. This approach extends previous works where homolog coefficients were first defined around network nodes and later around edges. The proposed approach substantially increases both the number of predicted domain-domain interactions as well as its accuracy as compared with current methods. Availability and implementation: http://dimero.cnb.csic.es Contact: jsegura@cnb.csic.es Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 4
    Publication Date: 2015-01-28
    Description: Understanding the evolutionary transition from interspecific exploitation to cooperation is a major challenge in evolutionary biology. Ant–aphid relationships represent an ideal system to this end because they encompass a coevolutionary continuum of interactions ranging from mutualism to antagonism. In this study, we report an unprecedented interaction along this continuum: aggressive...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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