Insect Phylogeny Research Articles

Launching insectphylo.org; a new hub facilitating construction and use of synthesis molecular phylogenies of insects.

The Holy Grail of an Insect Tree of Life can only be 'discovered' through extensive collaboration among taxon specialists, phylogeneticists and centralized frameworks such as Open Tree of Life, but insufficient effort from stakeholders has so far hampered this promising approach. The resultant unavailability of synthesis phylogenies is an unfortunate situation given the numerous practical usages of phylogenies in the near term and against the backdrop of the ongoing biodiversity crisis. To resolve this issue, we establish a new online hub that centralizes the collation of relevant phylogenetic data and provides the resultant synthesis molecular phylogenies. This is achieved through key developments in a proposed pipeline for the construction of a species-level insect phylogeny. The functionality of the framework is demonstrated through the construction of a highly supported, species-comprehensive phylogeny of Diptera, built from integrated omics data, COI DNA barcodes, and a compiled database of over 100 standardized, published Diptera phylogenies. Machine-readable forms of the phylogeny (and subsets thereof) are publicly available at insectphylo.org, a new public repository for species-comprehensive phylogenies for biological research.

Insect phylogeny structures the bacterial communities in the microbiome of psyllids (Hemiptera: Psylloidea) in Aotearoa New Zealand.

The bacterial microbiome of psyllids has been studied for decades, with a strong focus on the primary and secondary endosymbionts capable of providing essential amino acids for the insects' diet and therefore playing a key role in the insects' ability to radiate on novel plant hosts. Here, we combine metabarcoding analysis of the bacterial communities hosted by psyllids with a multi-gene phylogenetic analysis of the insect hosts to determine what factors influence the bacterial diversity of the psyllids' microbiomes, especially in the context of the dispersal and evolutionary radiation of these insects in Aotearoa New Zealand. Using multi-gene phylogenetics with COI, 18S and EF-1α sequences from 102 psyllid species, we confirmed for the first time monophyly for all the six genera of native/endemic Aotearoa New Zealand psyllids, with indications that they derive from at least six dispersal events to the country. This also revealed that, after its ancestral arrival, the genus Powellia has radiated onto a larger and more diverse range of plants than either Psylla or Ctenarytaina, which is uncommon amongst monophyletic psyllids globally. DNA metabarcoding of the bacterial 16S gene here represents the largest dataset analysed to date from psyllids, including 246 individuals from 73 species. This provides novel evidence that bacterial diversity across psyllid species is strongly associated with psyllid phylogenetic structure, and to a lesser degree to their host plant association and geographic distribution. Furthermore, while the strongest co-phylogenetic signals were derived from the primary and secondary symbionts, a signal of phylosymbiosis was still retained among the remaining taxa of the bacterial microbiome, suggesting potential vertical transmission of bacterial lineages previously unknown to have symbiotic roles.

Molecular Mechanisms of Winter Survival

Winter provides many challenges for insects, including direct injury to tissues and energy drain due to low food availability. As a result, the geographic distribution of many species is tightly coupled to their ability to survive winter. In this review, we summarize molecular processes associated with winter survival, with a particular focus on coping with cold injury and energetic challenges. Anticipatory processes such as cold acclimation and diapause cause wholesale transcriptional reorganization that increases cold resistance and promotes cryoprotectant production and energy storage. Molecular responses to low temperature are also dynamic and include signaling events during and after a cold stressor to prevent and repair cold injury. In addition, we highlight mechanisms that are subject to selection as insects evolve to variable winter conditions. Based on current knowledge, despite common threads, molecular mechanisms of winter survival vary considerably across species, and taxonomic biases must be addressed to fully appreciate the mechanistic basis of winter survival across the insect phylogeny.

Phylogenetic implications based on an ultrastructural study with emphasis on the tracheal system of the compound eyes of three species of nymphalid butterflies

Compound eyes are the prominent visual organs of insects and can provide valuable information for the reconstruction of insect phylogeny. Although the largest butterfly family (Nymphalidae) has been well defined, the infrafamilial phylogenetic relationships remain controversial hitherto. In the present study the ultrastructure of the compound eyes of three nymphalids Neptis beroe, Childrena zenobia, and Palaeonympha opalina was investigated using light and transmission electron microscopy in an attempt to seek potentially important phylogenetic characters. The compound eyes of the nymphalids share a tracheal system in a “1–4−8” branching pattern. The eight tracheal subbranches exhibit distinct distribution patterns along the basal retinula cell as follows: the tracheal subbranches of Palaeonympha opaline are close to the rhabdom in the distance from the distalmost part of the basal retinula cell to the rhabdom end, while those of N. beroe and C. zenobia are on the periphery of the retinula along almost the whole basal retinula cell and become close to the rhabdom just at the proximal end of the basal retinula cell. The tracheal structure of the three nymphalids is discussed for their potential phylogenetic implications.

Experimental disruption of social structure reveals totipotency in the orchid bee, Euglossa dilemma.

Eusociality has evolved multiple times across the insect phylogeny. Social insects with greater levels of social complexity tend to exhibit specialized castes with low levels of individual phenotypic plasticity. In contrast, species with simple social groups may consist of totipotent individuals that transition among behavioral and reproductive states. However, recent work has shown that in simple social groups, there can still be constraint on individual plasticity, caused by differences in maternal nourishment or social interaction. It is not well understood how these constraints arise, ultimately leading to the evolution of nonreproductive workers. Some species of orchid bees form social groups of a dominant and-one to two subordinate helpers where all individuals are reproductive. Females can also disperse to start their own nest as a solitary foundress, which includes a nonreproductive phase characterized by ovary inactivation, not typically expressed by subordinates. Little is known about individual flexibility across these trajectories. Here, using the orchid bee Euglossa dilemma, we assess the plasticity of subordinate helpers, finding that they are capable of the same behavioral, physiological, transcriptomic, and chemical changes seen in foundresses. Our results suggest that the lack of nonreproductive workers in E. dilemma is not due to a lack of subordinate plasticity.

Phylogenetic relationship between the endosymbiont \u201cCandidatus Riesia pediculicola\u201d and its human louse host

BackgroundThe human louse (Pediculus humanus) is a haematophagous ectoparasite that is intimately related to its host. It has been of great public health concern throughout human history. This louse has been classified into six divergent mitochondrial clades (A, D, B, F, C and E). As with all haematophagous lice, P. humanus directly depends on the presence of a bacterial symbiont, known as “Candidatus Riesia pediculicola”, to complement their unbalanced diet. In this study, we evaluated the codivergence of human lice around the world and their endosymbiotic bacteria. Using molecular approaches, we targeted lice mitochondrial genes from the six diverged clades and Candidatus Riesia pediculicola housekeeping genes.MethodsThe mitochondrial cytochrome b gene (cytb) of lice was selected for molecular analysis, with the aim to identify louse clade. In parallel, we developed four PCR primer pairs targeting three housekeeping genes of Candidatus Riesia pediculicola: ftsZ, groEL and two regions of the rpoB gene (rpoB-1 and rpoB-2).ResultsThe endosymbiont phylogeny perfectly mirrored the host insect phylogeny using the ftsZ and rpoB-2 genes, in addition to showing a significant co-phylogenetic congruence, suggesting a strict vertical transmission and a host–symbiont co-speciation following the evolutionary course of the human louse.ConclusionOur results unequivocally indicate that louse endosymbionts have experienced a similar co-evolutionary history and that the human louse clade can be determined by their endosymbiotic bacteria.Graphical

Evaluation of the Effectiveness of a “Hand-Pairing” Cross-Breeding Experiment in Ephemeroptera

The insect order Ephemeroptera is the basal lineage of wing acquired insects (i.e. Pterygota), and is a key taxon in understanding the processes of insect diversification and phylogeny. Therefore, phylogenetic evolution and evolutionary developmental studies of this insect order have been desirable, but such studies have been delayed due to various barriers. One of the greatest factors is the difficulty of creating suitable captive breeding conditions and the difficulty of controlling mating and embryogenesis. Under such circumstances, however, we recently established a method to control fertilization and developmental initiation using a “hand-pairing” cross-breeding method. This method was established using Dipteromimus tipuliformis of the family Dipteromimidae, which is endemic to the Japanese Islands. In addition, in this study, it was revealed that the “hand-pairing” method was also effective in Ephemeridae and Baetidae, which are largely differentiated phylogenetically from the family Dipteromimidae. As such, it is considered that our established “hand-pairing” cross-breeding method is widely effective among mayflies. This is considered to be an important outcome that will contribute to future evolutionary developmental experiments on mayflies.

The Metabolome of Associations between Xylem-Feeding Insects and their Bacterial Symbionts.

Metabolomics has increasingly led to important insights in chemical ecology by identifying environmentally relevant small molecules that mediate inter-organismal interactions. Nevertheless, the application of metabolomics to investigate interactions between phytophagous insects and their microbial symbionts remains underutilized. Here, we investigated the metabolomes of the bacteriomes (organs bearing symbiotic bacteria) isolated from natural populations of five species of xylem-feeding insects. We identified three patterns. First, the metabolomes varied among the five species, likely influenced by insect phylogeny, food plant and taxonomic identity of the symbionts. Second, the ratio of glutamine: glutamate in the bacteriomes was 0.7-3.6 to 1, indicative of nitrogen-sufficient metabolism and raising the possibility that the insect sustains nitrogen-enriched status of the bacteriomes despite the nitrogen scarcity of the xylem diet. Finally, bacteriomes from insect species bearing genetically-similar symbionts displayed limited variation in their metabolomes, suggesting that the metabolic pattern of the bacteriome metabolic pools is correlated with the genetic repertoire of the symbionts. Altogether, these metabolomic patterns yield specific hypotheses of underlying processes that are testable by wider sampling of natural populations and experimental study.

The power of neuropeptide precursor sequences to reveal phylogenetic relationships in insects: A case study on Blattodea

Recent state-of-the-art analyses in insect phylogeny have exclusively used very large datasets to elucidate higher-level phylogenies. We have tested an alternative and novel approach by evaluating the potential phylogenetic signals of identified and relatively short neuropeptide precursor sequences with highly conserved functional units. For that purpose, we examined available transcriptomes of 40 blattodean species for the translated amino acid sequences of 17 neuropeptide precursors. Recently proposed intra-ordinal relationships of Blattodea, based on the analysis of 2370 protein-coding nuclear single-copy genes (Evangelista et al., 2019), were corroborated with maximum support. The functionally different precursor units were analyzed separately for their phylogenetic information. Although the degree of information was different in the different sequence motifs, all precursor units contained phylogenetic informative data at the ordinal level, and their separate analysis did not reveal contradictory topologies. This study is the first comprehensive exploitation of complete neuropeptide precursor sequences of arthropods in such a context and demonstrates the applicability of these rather short but conserved sequences for an alternative, fast and simple analysis of phylogenetic relationships.

Evidence suggesting interactions between immunodominant membrane protein Imp of Flavescence dorée phytoplasma and protein extracts from distantly related insect species.

In this study, binding between the immunodominant membrane protein Imp of the 16SrV-D phytoplasma associated with Flavescence dorée disease (FD-Dp) and insect proteins of vectors and non-vectors of FD-Dp was tested. Six Auchenorrhyncha species, from distantly related groups were selected: Scaphoideus titanus, Euscelidius variegatus, Macrosteles quadripunctulatus, Zyginidia pullula (Cicadomorpha), Ricania speculum and Metcalfa pruinosa (Fulgoromorpha). The vector status of each species was retrieved from the literature or determined by transmission trials in this study. A His-tagged partial Imp protein and a rabbit polyclonal antibody were synthesized and used for Western and Far-Western dot Blot (FWdB) experiments. Total native and membrane proteins (MP) were extracted from entire bodies and organs (gut and salivary glands) of each insect species. FWdB showed decreasing interaction intensities of Imp fusion protein with total proteins from entire bodies of S. titanus, E. variegatus (competent vectors) and M. quadripunctulatus (non-vector), while no interaction signal was detected with the other three species (non-vectors). A strong signal detected upon interaction of FD-D Imp and MP from guts of closely related insects supports the role of this organ as the first barrier to ensure successful transmission. Our results showed that specific Imp binding, correlated with vector status, is involved in interactions between FD-Dp and insect proteins. Integrating knowledge on host-pathogen protein-protein interactions and on insect phylogeny would help to identify the actual range of vectors of phytoplasma strains of economic importance.

Palaeontological and Biological Collections – Bridging the gap

Palaeontology and biology are closely related sciences, as are the collections associated with them. Nevertheless there are differences between the two types of collections and the scientific data that they yield with regards to taxonomy, climate and ecology. In order to bridge the gap between the two subjects, it is important to clarify what these differences are and how they can be used to supplement research that addresses future environmental/climatic issues. In biology, valuable traits of the whole organism serve for taxonomy. In the fossil record, a morphospecies concept needs to be used because specimens are mainly preserved fragmentarily and palaeontologists have to take advantage of morphological traits that are often disregarded by biologists. Another difference is that biological objects represent modern time, while the fossil record provides valuable information on a deep time perspective, i.e., in a third dimension. Yet, these two disciplines obviously depend on each other: while biologists provide palaeontologists with information about unfossilised soft parts, palaeontology can help to solve questions about life in the past. Using four current case studies from the Stuttgart Natural History Museum, we provide examples of how biological and palaeontological information stored in museum collections are linterlinked, and particularly how palaeontology can help to solve current and future problems. We also highlight the potential of palaeontological collections and demonstrate the necessity of digitizing large quantities of objects as well as the related basic information. Case studies are: Fossil leaves provide evidence for past atmospheric CO2 levels and climate change, which can be used for climate change models. Fossils help to understand current and future hazards e.g., fossils embedded in tsunami sediments can provide information on how tsunamis affect shelf marine ecosytems. Extensive taxonomic studies of Miocene land snails and the comparison with extant relatives allow the reconstruction of fossil environments. Combined with complementary methods, the biological, geological and meteorological factors controlling these environments can be reconstructed. Phylogenetic studies tell us how life evolved and how organisms have changed through time. An important factor for phylogeny is the time-aspect, such as the splitting of lineages. Phylogenetic trees based on modern taxa can only be validated by fossils. We will present an example of insect phylogeny. Fossil leaves provide evidence for past atmospheric CO2 levels and climate change, which can be used for climate change models. Fossils help to understand current and future hazards e.g., fossils embedded in tsunami sediments can provide information on how tsunamis affect shelf marine ecosytems. Extensive taxonomic studies of Miocene land snails and the comparison with extant relatives allow the reconstruction of fossil environments. Combined with complementary methods, the biological, geological and meteorological factors controlling these environments can be reconstructed. Phylogenetic studies tell us how life evolved and how organisms have changed through time. An important factor for phylogeny is the time-aspect, such as the splitting of lineages. Phylogenetic trees based on modern taxa can only be validated by fossils. We will present an example of insect phylogeny. These case studies not only show how biology and palaeontology are interlinked, but the first three studies are sound examples of how the knowledge of the past helps to understand the present. Furthermore, the first two studies are highly relevant for predicting the future. All of this information can only be used appropriately, if large proportions of data are available that include information on geology and age. For this reason, the Access to Biological Collection Data Extended for Geosciences (ABCD EFG) standard is so important, as it extends the two-dimensional view (Recent) into a third dimension (deep time). Our vision is an integrated modelling of past, present and future scenarios, whether for climate or ecosystem change, or geological hazards. Considering the deep time information, we can model how changes would take place under natural conditions, i.e., without anthropogenic influence. This requires the availability of large data sets of taxonomic information on the EFG level from all over the world.

Multiple large-scale gene and genome duplications during the evolution of hexapods

Polyploidy or whole genome duplication (WGD) is a major contributor to genome evolution and diversity. Although polyploidy is recognized as an important component of plant evolution, it is generally considered to play a relatively minor role in animal evolution. Ancient polyploidy is found in the ancestry of some animals, especially fishes, but there is little evidence for ancient WGDs in other metazoan lineages. Here we use recently published transcriptomes and genomes from more than 150 species across the insect phylogeny to investigate whether ancient WGDs occurred during the evolution of Hexapoda, the most diverse clade of animals. Using gene age distributions and phylogenomics, we found evidence for 18 ancient WGDs and six other large-scale bursts of gene duplication during insect evolution. These bursts of gene duplication occurred in the history of lineages such as the Lepidoptera, Trichoptera, and Odonata. To further corroborate the nature of these duplications, we evaluated the pattern of gene retention from putative WGDs observed in the gene age distributions. We found a relatively strong signal of convergent gene retention across many of the putative insect WGDs. Considering the phylogenetic breadth and depth of the insect phylogeny, this observation is consistent with polyploidy as we expect dosage balance to drive the parallel retention of genes. Together with recent research on plant evolution, our hexapod results suggest that genome duplications contributed to the evolution of two of the most diverse lineages of eukaryotes on Earth.

Geminivirus data warehouse: a database enriched with machine learning approaches

BackgroundThe Geminiviridae family encompasses a group of single-stranded DNA viruses with twinned and quasi-isometric virions, which infect a wide range of dicotyledonous and monocotyledonous plants and are responsible for significant economic losses worldwide. Geminiviruses are divided into nine genera, according to their insect vector, host range, genome organization, and phylogeny reconstruction. Using rolling-circle amplification approaches along with high-throughput sequencing technologies, thousands of full-length geminivirus and satellite genome sequences were amplified and have become available in public databases. As a consequence, many important challenges have emerged, namely, how to classify, store, and analyze massive datasets as well as how to extract information or new knowledge. Data mining approaches, mainly supported by machine learning (ML) techniques, are a natural means for high-throughput data analysis in the context of genomics, transcriptomics, proteomics, and metabolomics.ResultsHere, we describe the development of a data warehouse enriched with ML approaches, designated geminivirus.org. We implemented search modules, bioinformatics tools, and ML methods to retrieve high precision information, demarcate species, and create classifiers for genera and open reading frames (ORFs) of geminivirus genomes.ConclusionsThe use of data mining techniques such as ETL (Extract, Transform, Load) to feed our database, as well as algorithms based on machine learning for knowledge extraction, allowed us to obtain a database with quality data and suitable tools for bioinformatics analysis. The Geminivirus Data Warehouse (geminivirus.org) offers a simple and user-friendly environment for information retrieval and knowledge discovery related to geminiviruses.

OGS2: genome re-annotation of the jewel wasp Nasonia vitripennis.

BackgroundNasonia vitripennis is an emerging insect model system with haplodiploid genetics. It holds a key position within the insect phylogeny for comparative, evolutionary and behavioral genetic studies. The draft genomes for N. vitripennis and two sibling species were published in 2010, yet a considerable amount of transcriptiome data have since been produced thereby enabling improvements to the original (OGS1.2) annotated gene set. We describe and apply the EvidentialGene method used to produce an updated gene set (OGS2). We also carry out comparative analyses showcasing the usefulness of the revised annotated gene set.ResultsThe revised annotation (OGS2) now consists of 24,388 genes with supporting evidence, compared to 18,850 for OGS1.2. Improvements include the nearly complete annotation of untranslated regions (UTR) for 97 % of the genes compared to 28 % of genes for OGS1.2. The fraction of RNA-Seq validated introns also grow from 85 to 98 % in this latest gene set. The EST and RNA-Seq expression data provide support for several non-protein coding loci and 7712 alternative transcripts for 4146 genes. Notably, we report 180 alternative transcripts for the gene lola.Nasonia now has among the most complete insect gene set; only 27 conserved single copy orthologs in arthropods are missing from OGS2. Its genome also contains 2.1-fold more duplicated genes and 1.4-fold more single copy genes than the Drosophila melanogaster genome. The Nasonia gene count is larger than those of other sequenced hymenopteran species, owing both to improvements in the genome annotation and to unique genes in the wasp lineage.We identify 1008 genes and 171 gene families that deviate significantly from other hymenopterans in their rates of protein evolution and duplication history, respectively. We also provide an analysis of alternative splicing that reveals that genes with no annotated isoforms are characterized by shorter transcripts, fewer introns, faster protein evolution and higher probabilities of duplication than genes having alternative transcripts.ConclusionsGenome-wide expression data greatly improves the annotation of the N. vitripennis genome, by increasing the gene count, reducing the number of missing genes and providing more comprehensive data on splicing and gene structure. The improved gene set identifies lineage-specific genomic features tied to Nasonia’s biology, as well as numerous novel genes.OGS2 and its associated search tools are available at http://arthropods.eugenes.org/EvidentialGene/nasonia/, www.hymenopteragenome.org/nasonia/ and waspAtlas: www.tinyURL.com/waspAtlas.The EvidentialGene pipeline is available at https://sourceforge.net/projects/evidentialgene/.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-2886-9) contains supplementary material, which is available to authorized users.

Insufficient resolving power of mitogenome data in deciphering deep phylogeny of Holometabola

AbstractThe mitochondrial genome (mitogenome) is one of the most widely used markers for phylogenetic analysis. Compared with whole‐genome data, mitogenome data are less expensive to obtain and easier to manipulate. However, compositional bias and accelerated evolutionary rate reduce the effectiveness of the mitogenome in determining insect phylogeny. This study shows that mitogenome data are not suitable to reconstruct deep holometabolan evolution, even with a most comprehensive data coding scheme and the more realistic CAT model. For the deep levels of divergence within Holometabola, protein‐coding genes only retain weak phylogenetic signals, leading to peculiar interordinal relationships. Consensus relationships in the Holometabola phylogeny, such as the monophyly of Holometabola, the most basal position of Hymenoptera, and the sister group relationship between the Strepsiptera and Coleoptera were rarely resolved in our analyses. The relationships of the holometabolan groups as inferred by mitogenomes are highly vulnerable to gene types, data coding regimes, model choice, and optimality criteria, and no consistent alternative hypothesis of Holometabola's relationships is supported. Thus, we suggest that the slowly evolving nuclear genes or genome‐scale approaches may be better options for resolving deep‐level phylogeny of Holometabola.

The intronic minisatellite OsMin1 within a serine protease gene in the Chinese caterpillar fungus Ophiocordyceps sinensis

Repetitive DNA sequences make up a significant portion of all genomes and may occur in intergenic, regulatory, coding, or even intronic regions. Partial sequences of a serine protease gene csp1 was previously used as a population genetic marker of the Chinese caterpillar fungus Ophiocordyceps sinensis, but its first intron region was excluded due to ambiguous alignment. Here in this study, we report the presence of a minisatellite OsMin1 within this intron, where a 20(19)-bp repeat motif is duplicated two to six times in different isolates. Fourteen intron alleles and 13 OsMin1 alleles were identified among 125 O. sinensis samples distributed broadly on the Tibetan Plateau. Two OsMin1 alleles were prevalent, corresponding to either two or five repeats of the core sequence motif. OsMin1 appears to be a single locus marker in the O. sinensis genome, but its origin is undetermined. Abundant recombination signals were detected between upstream and downstream flanking regions of OsMin1, suggesting that OsMin1 mutate by unequal crossing over. Geographic distribution, fungal phylogeny, and host insect phylogeny all significantly affected intron distribution patterns but with the greatest influence noted for fungal genotypes and the least for geography. As far as we know, OsMin1 is the first minisatellite found in O. sinensis and the second found in fungal introns. OsMin1 may be useful in designing an efficient protocol to discriminate authentic O. sinensis from counterfeits.

The evolution of parental care in insects: A test of current hypotheses.

Which sex should care for offspring is a fundamental question in evolution. Invertebrates, and insects in particular, show some of the most diverse kinds of parental care of all animals, but to date there has been no broad comparative study of the evolution of parental care in this group. Here, we test existing hypotheses of insect parental care evolution using a literature-compiled phylogeny of over 2000 species. To address substantial uncertainty in the insect phylogeny, we use a brute force approach based on multiple random resolutions of uncertain nodes. The main transitions were between no care (the probable ancestral state) and female care. Male care evolved exclusively from no care, supporting models where mating opportunity costs for caring males are reduced—for example, by caring for multiple broods—but rejecting the “enhanced fecundity” hypothesis that male care is favored because it allows females to avoid care costs. Biparental care largely arose by males joining caring females, and was more labile in Holometabola than in Hemimetabola. Insect care evolution most closely resembled amphibian care in general trajectory. Integrating these findings with the wealth of life history and ecological data in insects will allow testing of a rich vein of existing hypotheses.

Phylogenomics resolves the timing and pattern of insect evolution.

Insects are the most speciose group of animals, but the phylogenetic relationships of many major lineages remain unresolved. We inferred the phylogeny of insects from 1478 protein-coding genes. Phylogenomic analyses of nucleotide and amino acid sequences, with site-specific nucleotide or domain-specific amino acid substitution models, produced statistically robust and congruent results resolving previously controversial phylogenetic relations hips. We dated the origin of insects to the Early Ordovician [~479 million years ago (Ma)], of insect flight to the Early Devonian (~406 Ma), of major extant lineages to the Mississippian (~345 Ma), and the major diversification of holometabolous insects to the Early Cretaceous. Our phylogenomic study provides a comprehensive reliable scaffold for future comparative analyses of evolutionary innovations among insects.

Toward an insect evolution resolution

Insect Phylogenomics Insects are the most diverse group of animals, with the largest number of species. However, many of the evolutionary relationships between insect species have been controversial and difficult to resolve. Misof et al. performed a phylogenomic analysis of protein-coding genes from all major insect orders and close relatives, resolving the placement of taxa. The authors used this resolved phylogenetic tree together with fossil analysis to date the origin of insects to ~479 million years ago and to resolve long-controversial subjects in insect phylogeny. Science , this issue p. [763][1] [1]: /lookup/doi/10.1126/science.1257570

Strepsiptera, phylogenomics and the long branch attraction problem.

Insect phylogeny has recently been the focus of renewed interest as advances in sequencing techniques make it possible to rapidly generate large amounts of genomic or transcriptomic data for a species of interest. However, large numbers of markers are not sufficient to guarantee accurate phylogenetic reconstruction, and the choice of the model of sequence evolution as well as adequate taxonomic sampling are as important for phylogenomic studies as they are for single-gene phylogenies. Recently, the sequence of the genome of a strepsipteran has been published and used to place Strepsiptera as sister group to Coleoptera. However, this conclusion relied on a data set that did not include representatives of Neuropterida or of coleopteran lineages formerly proposed to be related to Strepsiptera. Furthermore, it did not use models that are robust against the long branch attraction artifact. Here we have sequenced the transcriptomes of seven key species to complete a data set comprising 36 species to study the higher level phylogeny of insects, with a particular focus on Neuropteroidea (Coleoptera, Strepsiptera, Neuropterida), especially on coleopteran taxa considered as potential close relatives of Strepsiptera. Using models robust against the long branch attraction artifact we find a highly resolved phylogeny that confirms the position of Strepsiptera as a sister group to Coleoptera, rather than as an internal clade of Coleoptera, and sheds new light onto the phylogeny of Neuropteroidea.