Ants, Bees, Genomes & Evolution @ Queen Mary University London


Published: 17 November 2015

Arthropod genomics beyond fruit flies: bridging the gap between proximate and ultimate causation

Yannick Wurm

Briefings in Functional Genomics, Volume 14, Issue 6, November 2015, Pages 381–383



Many of us can still remember the publication of the Drosophila melanogaster genome sequence [1]. This new resource enhanced the research toolkit for this species, which included laboratory protocols for rearing, mutagenesis, crossing, phenotyping, establishing stable lines, extracting nucleic acids, creating transgenic individuals and in situ imaging [2, 3]. The combined toolkit brought extensive insight into the molecular, physiological and genetic bases of development and behavior in this species. Some of D. melanogaster’s genomic features set it apart from other model species whose genomes had also been sequenced, including Saccharomyces cerevisiae, Caenorhabditis elegans, Danio rerio, Homo sapiens and Mus musculus. For example, D. melanogaster lacks canonical de novo and maintenance DNA methyltransferase genes and shows only limited amounts of DNA methylation [4]. Similarly, D. melanogaster chromosome ends are maintained by a pair of transposable elements rather than by a telomerase enzyme which synthesizes TTAGGG-like repeats in most eukaryotes [5, 6]. Furthermore, the specific genes and interactions underlying circadian rhythms in D. melanogaster are different from those found in many other animals [7]. Back when D. melanogaster was the only arthropod with a sequenced genome, many of the specific features of its genome were extrapolated as being representative of arthropods, the group of 6 million extant species [8], which includes insects, crustaceans, arachnids such as spiders, and myriapods such as millipedes and centipedes.

However, as additional arthropod genomes were sequenced, it became clear that even among arthropods, D. melanogaster and its dipteran relatives (other flies and mosquitoes) are the odd ones out. Indeed, D. melanogaster has more derived chromosomal structure (microsynteny) and more derived gene sequences than other insects [9]. Similarly, its Hox gene cluster is organized in a more derived manner than in non-dipteran insects [10]. Drosophila melanogaster’s genome being relatively derived may be linked to traits that make the species an attractive laboratory organism. Indeed, short generation times, ease of rearing and tolerance of relatively high population densities [2] may contribute to D. melanogaster having a greater effective population size than many other insects [11]. This characteristic is expected to increase the efficiency of natural selection [12] and thus may accelerate the rate of change in dipteran genomes. Consistently with this idea, many characteristics of other arthropod genomes appear to be more vertebrate-like than Drosophila-like [4, 7, 13–17].

The bottom line is: Drosophila genomes are not representative of arthropod genomes. To ecologically and evolutionary minded researchers, this is unlikely to come as a surprise. Indeed, Drosophila behavior and morphology cannot be considered representative of a >500 million year old phylum [18] that includes >6 million extant species [8]. Life history traits of arthropods are hugely diverse, including ant species that perform slave raiding, others that perform agriculture and some that select a single reproductive queen by executing supernumerary queens [19–21], treehoppers with morphologies resembling abstract art [22], assassin bugs that carry corpses of their prey as camouflage [23], parasitoid wasps that lay eggs in larvae of other species [24] or even produce normal reproductive larvae and sterile soldiers that will attack unrelated parasitoids [25] and highly complex courtship and mating rituals [26].

Research in ecology and evolution has traditionally involved a diversity of study systems and focused on understanding how evolutionary processes including natural selection, sexual selection, host–parasite dynamics and drift are responsible for particular traits. Inferences are largely based on knowledge of interactions within and between species often derived from limited molecular information such as microsatellite or restriction fragment length polymorphism genotypes (e.g. [27]). In such research, genes have mainly been considered at conceptual levels. This approach thus contrasts starkly with the mechanistic, laboratory-based approaches of Drosophila research, which aim to understand the proximate mechanisms through which individual genes contribute to shaping phenotypes. The recent drop in sequencing costs is enabling the two approaches to merge [28]. Novel sequence information—including from the recent 1KITE thousand insect transcriptome project [18] and from the ongoing i5k project to sequence 5000 arthropod genomes [29]—is enabling ecology and evolution researchers to identify genes and genetic architectures underlying phenotypes across a range of study systems.

This issue of Briefings focuses on recent developments at the overlap between mechanistic and evolutionary research questions, in particular honing in on research from non-Drosophila arthropods.

We begin by an overview of opportunities, challenges and efforts to integrate evolutionary developmental biology insights on genotype–phenotype relationships with evolutionary ecology insights on phenotype–environment relationships. This review includes diverse examples of techniques and study systems, including the discussion of the role of the Ultrabithorax gene in shaping water-strider leg morphologies, which are under both natural and sexual selection [30]. Similar approaches have also honed in on other groups of genes. Verhulst and Zande clarify how chromosomal sex-determining systems (ZZ/ZW, XX/XY, XX/XO and haplodiploidy) translate into sexual identity being expressed at the level of individual cells—and ultimately whole organisms. Sex-specific spliceforms of transformer and doublesex play central roles in this but the details vary between species [31]. Viljakainen [32] provides a comparative and evolutionary overview of the conserved and divergent components of insect innate immune defence, considering population genetics and molecular evolution results. Expanding outwards, we look at the molecules underlying interactions between herbivorous insects and their plant hosts. In particular, Simon et al. [33] reviews recent research on the molecules underlying sensing, feeding, digesting and detoxifying in Lepidoptera (which include moths and butterflies) and Hemiptera (which includes aphids, cicadas, planthoppers and leafhoppers).

As highlighted by these reviews, linking candidate loci to phenotypes remains challenging: it can be difficult or even impossible to rear such non-traditional model organisms in the laboratory, and despite recent improvements, protocols for approaches such as transgenics or in situ remain uncommon for most species. Population genomics approaches may provide an intermediate solution, as they can indicate whether changes in a gene or genomic region are likely to have been neutral or selectively advantageous. Such approaches can thus shed light on historic events but also complement other approaches for identifying and prioritizing candidate genes. An overview of population genomics approaches and examples of the insights they have already provided on non-Drosophila arthropods are reviewed in depth by [34]. The combination of population genomics, increased sequencing of species [29] and increased accessibility of molecular tools such as transgenics [35] and RNA interference [36] will continue to help bridge the gap between our understanding of ultimate causes and proximate mechanisms.


Funding


Y.W. was supported by the Biotechnology and Biological Sciences Research Council [BB/K004204/1] and the Natural Environment Research Council [NE/L00626X/1, EOS Cloud].


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© The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com

© The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com