The raison d'être of chemical ecology

Raguso, Robert A.; Agrawal, Anurag A.; Douglas, Angela E.; Jander, Georg; Kessler, André; Poveda, Katja; Thaler, Jennifer S.

doi:10.1890/14-1474.1

Cited by 92 publications

(87 citation statements)

References 138 publications

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“…For many species, semio‐chemical cues and signals serve as the primary sensory input, and decisions must be made based on information found therein . Due to their importance, a substantial amount of work is focused on identifying, and comparing the chemical composition of olfactory cues and signals . Information in these ‘odors’ can be encoded either digitally through the presence/absence of individual compounds, and/or analogically through their relative abundance .…”

Section: Introductionmentioning

confidence: 99%

Normalizing Gas‐Chromatography–Mass Spectrometry Data: Method Choice can Alter Biological Inference

Noonan

Tinnesand

Buesching³

2018

BioEssays

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We demonstrate how different normalization techniques in GC-MS analysis impart unique properties to the data, influencing any biological inference. Using simulations, and empirical data, we compare the most commonly used techniques (Total Sum Normalization 'TSN'; Median Normalization 'MN'; Probabilistic Quotient Normalization 'PQN'; Internal Standard Normalization 'ISN'; External Standard Normalization 'ESN'; and a compositional data approach 'CODA'). When differences between biological classes are pronounced, ESN and ISN provides good results, but are less reliable for more subtly differentiated groups. MN, TSN, and CODA approaches produced variable results dependent on the structure of the data, and are prone to false positive biomarker identification. In contrast, PQN exhibits the lowest false positive rate, though with occasionally poor model performance. Because ESN requires extensive pre-planning, and offers only mixed reliability, and ISN, TSN, MN, and CODA approaches are prone to introducing artefactual differences, we recommend the use of PQN in GC-MS research.

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Section: Introductionmentioning

confidence: 99%

Normalizing Gas‐Chromatography–Mass Spectrometry Data: Method Choice can Alter Biological Inference

Noonan

Tinnesand

Buesching³

2018

BioEssays

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“…In contrast to the research presented in this article, few studies have evaluated broader relationships between chemical diversity and genetic diversity within species (focusing on the diversity of chemical compound composition among individuals in a population) while examining a select group of metabolites diagnostic of health versus disease (otherwise known as biomarkers) and associated with SNPs under selection. Recent innovations in next‐generation sequencing coupled with untargeted chemical profiling provide unique opportunities to examine these relationships in plant systems (Eckert et al., 2012; Gomez‐Casati, Zanor, & Busi, 2013; Raguso et al., 2015; Riedelsheimer et al., 2012). Integrating next‐generation sequencing technologies with population genomics and community ecology permits identification of chemical compounds and associated SNPs related to disease resistance or other ecologically functional traits.…”

Section: Introductionmentioning

confidence: 99%

Discovering variation of secondary metabolite diversity and its relationship with disease resistance inCornus floridaL.

Pais

Xiang

2018

Ecology and Evolution

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Understanding intraspecific relationships between genetic and functional diversity is a major goal in the field of evolutionary biology and is important for conserving biodiversity. Linking intraspecific molecular patterns of plants to ecological pressures and trait variation remains difficult due to environment‐driven plasticity. Next‐generation sequencing, untargeted liquid chromatography–mass spectrometry (LC‐MS) profiling, and interdisciplinary approaches integrating population genomics, metabolomics, and community ecology permit novel strategies to tackle this problem. We analyzed six natural populations of the disease‐threatened Cornus florida L. from distinct ecological regions using genotype‐by‐sequencing markers and LC‐MS‐based untargeted metabolite profiling. We tested the hypothesis that higher genetic diversity in C. florida yielded higher chemical diversity and less disease susceptibility (screening hypothesis), and we also determined whether genetically similar subpopulations were similar in chemical composition. Most importantly, we identified metabolites that were associated with candidate loci or were predictive biomarkers of healthy or diseased plants after controlling for environment. Subpopulation clustering patterns based on genetic or chemical distances were largely congruent. While differences in genetic diversity were small among subpopulations, we did observe notable similarities in patterns between subpopulation averages of rarefied‐allelic and chemical richness. More specifically, we found that the most abundant compound of a correlated group of putative terpenoid glycosides and derivatives was correlated with tree health when considering chemodiversity. Random forest biomarker and genomewide association tests suggested that this putative iridoid glucoside and other closely associated chemical features were correlated to SNPs under selection.

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“…In both aquatic and terrestrial environments, the traits that mediate predator‐prey interactions often are chemical cues (Lima and Dill , Dicke and Sabelis , Savoca and Nevitt , Raguso et al. ). This involves both the cues emitted by prey that are exploited by predators or vice versa (Lima and Dill , Ferrari et al.…”

Section: Introductionmentioning

confidence: 99%

Feeding guild of non‐host community members affects host‐foraging efficiency of a parasitic wasp

Rijk

Yang

Engel

et al. 2016

Ecology

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Interactions between predator and prey, or parasitoid and host, are shaped by trait- and density-mediated processes involving other community members. Parasitoids that lay their eggs in herbivorous insects locate their hosts through infochemicals such as herbivore-induced plant volatiles (HIPVs) and host-produced kairomones. Hosts are frequently accompanied by non-host herbivores that are unsuitable for the parasitoid. These non-hosts may interfere with host location primarily through trait-mediated processes, by their own infochemicals, and their induction of the emission of plant volatiles. Although it is known that single non-hosts can interfere with parasitoid host location, it is still unknown whether the observed effects are due to species specific characteristics or to the feeding habits of the non-host herbivores. Here we addressed whether the feeding guild of non-host herbivores differentially affects foraging of the parasitoid Cotesia glomerata for its common host, caterpillars of Pieris brassicae feeding on Brassica oleracea plants. We used different phloem-feeding and leaf-chewing non-hosts to study their effects on host location by the parasitoid when searching for host-infested plants based on HIPVs and when searching for hosts on the plant using infochemicals. To evaluate the ultimate effect of these two phases in host location, we studied parasitism efficiency of parasitoids in small plant communities under field-tent conditions. We show that leaf-chewing non-hosts primarily affected host location through trait-mediated effects via plant volatiles, whereas phloem-feeding non-hosts exerted trait-mediated effects by affecting foraging efficiency of the parasitoid on the plant. These trait-mediated effects resulted in associational susceptibility of hosts in environments with phloem feeders and associational resistance in environments with non-host leaf chewers.

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The raison d'être of chemical ecology

Cited by 92 publications

References 138 publications

Normalizing Gas‐Chromatography–Mass Spectrometry Data: Method Choice can Alter Biological Inference

Normalizing Gas‐Chromatography–Mass Spectrometry Data: Method Choice can Alter Biological Inference

Discovering variation of secondary metabolite diversity and its relationship with disease resistance inCornus floridaL.

Feeding guild of non‐host community members affects host‐foraging efficiency of a parasitic wasp

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