Digest: Gene duplication and social evolution-Using big, open data to answer big, open questions
Notice bibliographique
Résumé
What genomic features underpin the evolution of behavioral complexity? Do species exhibiting such complexity have more genes, more complex gene regulation, or both? These questions have driven decades of research in humans and primates. Social insect biologists have wanted to explore these questions in eusocial species for decades (Gadagkar ), but have lacked access to appropriately selected genome sequences. With the sequencing efforts of the last decade, a dozen bee genomes are now publicly available (Kapheim et al. ), and more are on the way. This growing database allows us to look with ever‐increasing detail at the genomic correlates of social evolution within insects (e.g., Kapheim et al. ). In this issue, Chau and Goodisman () take advantage of the recent sequencing of multiple bee genomes and assess the relationship between sociality and the rate of gene duplication across bee species. Their samples span the social spectrum, ranging from the solitary, annual leafcutter bee (Megachile rotundata) to the highly eusocial, perennial, European honey bee (Apis mellifera). Within Apoidea, eusociality has evolved independently across multiple taxa, making this group an excellent system to directly examine the genomic changes associated with social organization (Rehan and Toth ). Chau and Goodisman () anticipated, and discovered, a modest trend for higher rates of gene duplication at increasing levels of social complexity (Fig. 0001). After establishing a set of duplicated genes, they conducted multiple separate gene expression experiments using eusocial honey bee genomes to quantify differences in gene expression between duplicate genes and singletons. The authors found greater differences between castes and sexes for duplicated genes than singletons. Using a eusocial honey bee dataset, they were then able to quantify how newly duplicated genes are expressed and how selection acts on these duplicates. The expression patterns of duplicated genes suggest that conservation is the predominant evolutionary process underpinning phenotypic diversity in bees. However, neofunctionalization and specialization also appear to be important evolutionary processes. Collectively, the results of the aforementioned gene expression analyses provide the strongest evidence for the importance of gene duplication to the evolution of disparate social phenotypes. The trend uncovered in Chau and Goodisman () between rate of gene duplication and level of social complexity within the apoidean bees. Chau and Goodisman () provide a useful jumping‐off point for investigating social evolution from a genomic perspective. They highlight avenues for continued investigation (i.e., novel genes) as well as muddy points to clarify. One such point is the persistent problem of other correlates of molecular evolution—chiefly, effective population size (Ne; Lynch and Walsh ). Ne is a critical parameter that influences how efficient selection is at removing deleterious mutations (or newly duplicated genes). If eusocial species have smaller Ne than their solitary relatives (e.g., Romiguier et al. ), we may expect higher inferred gene duplication rates along with more polymorphic weakly deleterious mutations. Chau and Goodisman's () results are particularly interesting in light of past hypotheses on the role of duplication in social evolution (Gadagkar ). Duplication and brief periods of relaxed constraint may have allowed the divergence of social insect castes and sexes as hypothesized by Gadagkar (). The conclusions reached in this study should be explored further across the Blattodea, Hemiptera, and Coleoptera, which also have species that vary in social complexity. This will allow us to determine whether the same relationships uncovered here are preserved across a broader range of taxa. Associate Editor: K. Moore Handling Editor: M. Noor Digests are short (∼500 word), news articles about selected original research included in the journal, written by students or postdocs. These digests are published online and linked to their corresponding original research articles. For instructions on Digests preparation and submission, please visit the following link https://sites.duke.edu/evodigests/. This article corresponds to Chau, L. M. and M. A. D. Goodisman. 2017. Gene duplication and the evolution of phenotypic diversity in insect societies. Evolution. https://doi.org/10.1111/evo.13356.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,046 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,005 |
| Communication savante | 0,007 | 0,008 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,042 | 0,043 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,007 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».