Papers by Yuvaraj Ranganathan
Acta Veterinaria Brno, 2015
American Journal of Food Science and Technology, 2014
Journal of Chemical Ecology, Apr 23, 2013
Acta Oecologica, 2015
ABSTRACT The fig-fig wasp system of Ficus racemosa constitutes an assemblage of galler and parasi... more ABSTRACT The fig-fig wasp system of Ficus racemosa constitutes an assemblage of galler and parasitoid wasps in which tritrophic interactions occur. Since predatory ants (Oecophylla smaragdina and Technomyrmex albipes) or mostly trophobiont-tending ants (Myrmicaria brunnea) were previously shown to differentially use volatile organic compounds (VOCs) from figs as proximal cues for predation on fig wasps, we examined the response of these ants to the cuticular hydrocarbons (CHCs) of the wasps. CHC signatures of gallers were distinguished from those of parasitoids by the methyl-branched alkanes 5-methylpentacosane and 13-methylnonacosane which characterised trophic group membership. CHC profiles of wasp predator and wasp prey were congruent suggesting that parasitoids acquire CHCs from their prey; the CHC composition of the parasitoid Apocrypta sp 2 clustered with that of its galler host Apocryptophagus fusca, while the CHC profile of the parasitoid Apocryptophagus agraensis clustered with its galler prey, the fig pollinator Ceratosolen fusciceps. In behavioural assays with ants, parasitoid CHC extracts evoked greater response in all ant species compared to galler extracts, suggesting that parasitoid CHC extracts contain more elicitors of ant behaviour than those of plant feeders. CHCs of some wasp species did not elicit significant responses even in predatory ants, suggesting chemical camouflage. Contrary to earlier studies which demonstrated that predatory ants learned to associate wasp prey with specific fig VOCs, prior exposure to fig wasp CHCs did not affect the reaction of any ant species to these CHCs.
Journal of Chemical Ecology, 2013
Arthropod-Plant Interactions, 2014
Acta Oecologica, Jul 19, 2011
Ripe fruit need to signal their presence to attract dispersal agents. Plants may employ visual an... more Ripe fruit need to signal their presence to attract dispersal agents. Plants may employ visual and/or olfactory sensory channels to signal the presence of ripe fruit. Visual signals of ripe fruit have been extensively investigated. However, the volatile signatures of ripe fruit that use olfactorily-oriented dispersers have been scarcely investigated. Moreover, as in flowers, where floral scents are produced at times when pollinators are active (diurnal versus nocturnal), whether plants can modulate the olfactory signal to produce fruit odours when dispersers are active in the diel cycle is completely unknown. We investigated day–night differences in fruit odours in two species of figs, Ficus racemosa and Ficus benghalensis. The volatile bouquet of fruit of F. racemosa that are largely dispersed by bats and other mammals was dominated by fatty acid derivatives such as esters. In this species in which the ripe fig phase is very short, and where the figs drop off soon after ripening, there were no differences between day and night in fruit volatile signature. The volatile bouquet of fruit of F. benghalensis that has a long ripening period, however, and that remain attached to the tree for extended periods when ripe, showed an increase in fatty acid derivatives such as esters and of benzenoids such as benzaldehyde at night when they are dispersed by bats, and an elevation of sesquiterpenes during the day when they are dispersed by birds. For the first time we provide data that suggest that the volatile signal produced by fruit can show diel differences based on the activity period of the dispersal agent.
Plant signaling & behavior, Jan 1, 2011
Chemical ecology, be it the study of plant volatiles or insect cuticular hydrocarbons, largely in... more Chemical ecology, be it the study of plant volatiles or insect cuticular hydrocarbons, largely involves the analysis of compositions or “blends” of a mixture of compounds. Compositional data have intrinsic properties such as a “constant-sum constraint” which should be taken into account when statistically analysing these data. The field of compositional data analysis has greatly improved our understanding of the nature of such compositions and has provided us with insights on statistically rigorous ways of analysing such constrained data. Employment of standard multivariate statistical procedures on compositional data necessitates the use of appropriate transformation procedures, which removes the non-independence of data points, thus rendering the data suitable for such analysis. Here we present the current situation of the analysis of compositional data in chemical ecology; the awareness of this constraint of compositional data; and alternative ways of analysing such constrained data using Random Forests, a data-mining algorithm which has many features that facilitate the analysis of such data. Two such features of particular relevance to compositional data are that Random Forests does not incorporate implicit assumptions about the distribution of the data and can deal with auto-correlations between data points.
In a complex multitrophic plant–animal interaction system in which there are direct and indirect ... more In a complex multitrophic plant–animal interaction system in which there are direct and indirect interactions between species, comprehending the dynamics of these multiple partners is very important for an understanding of how the system is structured. We investigated the plant Ficus racemosa L. (Moraceae) and its community of obligatory mutualistic and parasitic fig wasps (Hymenoptera: Chalcidoidea) that develop within the fig inflorescence or syconium, as well as their interaction with opportunistic ants. We focused on temporal resource partitioning among members of the fig wasp community over the development cycle of the fig syconia during which wasp oviposition and development occur and we studied the activity rhythm of the ants associated with this community. We found that the seven members of the wasp community partitioned their oviposition across fig syconium development phenology and showed interspecific variation in activity across the day–night cycle. The wasps presented a distinct sequence in their arrival at fig syconia for oviposition, with the parasitoid wasps following the galling wasps. Although fig wasps are known to be largely diurnal, we documented night oviposition in several fig wasp species for the first time. Ant activity on the fig syconia was correlated with wasp activity and was dependent on whether the ants were predatory or trophobiont-tending species; only numbers of predatory ants increased during peak arrivals of the wasps.
While plants of a single species emit a diversity of volatile organic compounds (VOCs) to attract... more While plants of a single species emit a diversity of volatile organic compounds (VOCs) to attract or repel interacting organisms, these specific messages may be lost in the midst of the hundreds of VOCs produced by sympatric plants of different species, many of which may have no signal content. Receivers must be able to reduce the babel or noise in these VOCs in order to correctly identify the message. For chemical ecologists faced with vast amounts of data on volatile signatures of plants in different ecological contexts, it is imperative to employ accurate methods of classifying messages, so that suitable bioassays may then be designed to understand message content. We demonstrate the utility of ‘Random Forests’ (RF), a machine-learning algorithm, for the task of classifying volatile signatures and choosing the minimum set of volatiles for accurate discrimination, using data from sympatric Ficus species as a case study. We demonstrate the advantages of RF over conventional classification methods such as principal component analysis (PCA), as well as data-mining algorithms such as support vector machines (SVM), diagonal linear discriminant analysis (DLDA) and k-nearest neighbour (KNN) analysis. We show why a tree-building method such as RF, which is increasingly being used by the bioinformatics, food technology and medical community, is particularly advantageous for the study of plant communication using volatiles, dealing, as it must, with abundant noise.
The interaction between figs and their pollinating or parasitic fig wasps is mediated largely by ... more The interaction between figs and their pollinating or parasitic fig wasps is mediated largely by chemical communication. These fig wasps are often preyed upon by predatory ants. In this study, we found that predatory ants (Oecophylla smaragdina) patrolling Ficus racemosa trees were attracted to the odour from fig syconia at different developmental phases, as well as to the odours of fig wasps, whereas other predatory ants (Technomyrmex albipes) responded only to odours of syconia from which fig wasps were dispersing and to fig wasp odour. However, trophobiont-tending ants (Myrmicaria brunnea) patrolling the same trees and exposed to the same volatiles were unresponsive to fig or fig wasp odours. The predatory ants demonstrated a concentration-dependent response towards volatiles from figs receptive to pollinators and those from which wasps were dispersing while the trophobiont-tending ants were unresponsive to such odours at all concentrations. Naïve predatory ants failed to respond to the volatiles to which the experienced predatory ants responded, indicating that the response to fig-related odours is learned. We suggest that predatory ants could use fig-associated volatiles to enhance their probability of wasp encounter and can eavesdrop on signals meant for pollinators.
Talks by Yuvaraj Ranganathan
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Papers by Yuvaraj Ranganathan
Talks by Yuvaraj Ranganathan