A statistical approach to identify candidate cues for nestmate recognition

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A statistical approach to identify candidate cues for nestmate recognition. / van Zweden, Jelle; Pontieri, Luigi; Pedersen, Jes Søe.

I: Frontiers in Ecology and Evolution, Bind 2, 73, 2014.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

van Zweden, J, Pontieri, L & Pedersen, JS 2014, 'A statistical approach to identify candidate cues for nestmate recognition', Frontiers in Ecology and Evolution, bind 2, 73. https://doi.org/10.3389/fevo.2014.00073

APA

van Zweden, J., Pontieri, L., & Pedersen, J. S. (2014). A statistical approach to identify candidate cues for nestmate recognition. Frontiers in Ecology and Evolution, 2, [73]. https://doi.org/10.3389/fevo.2014.00073

Vancouver

van Zweden J, Pontieri L, Pedersen JS. A statistical approach to identify candidate cues for nestmate recognition. Frontiers in Ecology and Evolution. 2014;2. 73. https://doi.org/10.3389/fevo.2014.00073

Author

van Zweden, Jelle ; Pontieri, Luigi ; Pedersen, Jes Søe. / A statistical approach to identify candidate cues for nestmate recognition. I: Frontiers in Ecology and Evolution. 2014 ; Bind 2.

Bibtex

@article{0016b5f7d5fe4cd5b12fd7a34e7d16a8,
title = "A statistical approach to identify candidate cues for nestmate recognition",
abstract = "The ability of social insects to discriminate nestmates (NMs) from non-nestmates(nNMs) is mainly achieved through chemical communication. To ultimately understandthis recognition and its decision rules, identification of the recognition cues is essential.Although recognition cues are most likely cuticular hydrocarbons (CHCs), identifying theexact cues for specific species has remained a daunting task, partly due to the sheernumber of odor compounds. Perhaps unsurprisingly, one of the few species wherethe recognition cues have been identified, Formica exsecta, has only around ten majorhydrocarbons on its cuticle. In this study we use previous results of this species to searchfor nestmate recognition cues (NMR cues) in two other species of ants, Camponotusaethiops, and Monomorium pharaonis. Employing chemical distances and observedaggression between colonies, we first ask which type of data normalization, centroid,and distance calculation is most diagnostic to discriminate between NMR cues andother compounds. We find that using a “global centroid” instead of a “colony centroid”significantly improves the analysis. One reason may be that this new approach, unlikeprevious ones, provides a biologically meaningful way to quantify the chemical distancesbetween NMs, allowing for within-colony variation in recognition cues. Next,we ask whichsubset of hydrocarbons most likely represents the cues that the ants use for nestmaterecognition, which shows less clear results for C. aethiops and M. pharaonis than forF. exsecta, possibly due to less than ideal datasets. Nonetheless, some compound setsperformed better than others, showing that this approach can be used to identify candidatecompounds to be tested in bio-assays, and eventually crack the sophisticated code thatgoverns nestmate recognition.",
author = "{van Zweden}, Jelle and Luigi Pontieri and Pedersen, {Jes S{\o}e}",
year = "2014",
doi = "10.3389/fevo.2014.00073",
language = "English",
volume = "2",
journal = "Frontiers in Ecology and Evolution",
issn = "2296-701X",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - A statistical approach to identify candidate cues for nestmate recognition

AU - van Zweden, Jelle

AU - Pontieri, Luigi

AU - Pedersen, Jes Søe

PY - 2014

Y1 - 2014

N2 - The ability of social insects to discriminate nestmates (NMs) from non-nestmates(nNMs) is mainly achieved through chemical communication. To ultimately understandthis recognition and its decision rules, identification of the recognition cues is essential.Although recognition cues are most likely cuticular hydrocarbons (CHCs), identifying theexact cues for specific species has remained a daunting task, partly due to the sheernumber of odor compounds. Perhaps unsurprisingly, one of the few species wherethe recognition cues have been identified, Formica exsecta, has only around ten majorhydrocarbons on its cuticle. In this study we use previous results of this species to searchfor nestmate recognition cues (NMR cues) in two other species of ants, Camponotusaethiops, and Monomorium pharaonis. Employing chemical distances and observedaggression between colonies, we first ask which type of data normalization, centroid,and distance calculation is most diagnostic to discriminate between NMR cues andother compounds. We find that using a “global centroid” instead of a “colony centroid”significantly improves the analysis. One reason may be that this new approach, unlikeprevious ones, provides a biologically meaningful way to quantify the chemical distancesbetween NMs, allowing for within-colony variation in recognition cues. Next,we ask whichsubset of hydrocarbons most likely represents the cues that the ants use for nestmaterecognition, which shows less clear results for C. aethiops and M. pharaonis than forF. exsecta, possibly due to less than ideal datasets. Nonetheless, some compound setsperformed better than others, showing that this approach can be used to identify candidatecompounds to be tested in bio-assays, and eventually crack the sophisticated code thatgoverns nestmate recognition.

AB - The ability of social insects to discriminate nestmates (NMs) from non-nestmates(nNMs) is mainly achieved through chemical communication. To ultimately understandthis recognition and its decision rules, identification of the recognition cues is essential.Although recognition cues are most likely cuticular hydrocarbons (CHCs), identifying theexact cues for specific species has remained a daunting task, partly due to the sheernumber of odor compounds. Perhaps unsurprisingly, one of the few species wherethe recognition cues have been identified, Formica exsecta, has only around ten majorhydrocarbons on its cuticle. In this study we use previous results of this species to searchfor nestmate recognition cues (NMR cues) in two other species of ants, Camponotusaethiops, and Monomorium pharaonis. Employing chemical distances and observedaggression between colonies, we first ask which type of data normalization, centroid,and distance calculation is most diagnostic to discriminate between NMR cues andother compounds. We find that using a “global centroid” instead of a “colony centroid”significantly improves the analysis. One reason may be that this new approach, unlikeprevious ones, provides a biologically meaningful way to quantify the chemical distancesbetween NMs, allowing for within-colony variation in recognition cues. Next,we ask whichsubset of hydrocarbons most likely represents the cues that the ants use for nestmaterecognition, which shows less clear results for C. aethiops and M. pharaonis than forF. exsecta, possibly due to less than ideal datasets. Nonetheless, some compound setsperformed better than others, showing that this approach can be used to identify candidatecompounds to be tested in bio-assays, and eventually crack the sophisticated code thatgoverns nestmate recognition.

U2 - 10.3389/fevo.2014.00073

DO - 10.3389/fevo.2014.00073

M3 - Journal article

VL - 2

JO - Frontiers in Ecology and Evolution

JF - Frontiers in Ecology and Evolution

SN - 2296-701X

M1 - 73

ER -

ID: 130109468