Phylogenomic Insights into the Evolution of Stinging Wasps and the Origins of Ants and Bees
Michael G. Branstetter; Bryan N. Danforth; James P. Pitts; Brant C. Faircloth; Philip S. Ward; Matthew L. Buffington; Michael W. Gates; Robert R. Kula · 2017 · Current Biology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The stinging wasps (Hymenoptera: Aculeata) are an extremely diverse lineage of hymenopteran insects, encompassing over 70,000 described species and a diversity of life history traits, including ectoparasitism, cleptoparasitism, predation, pollen feeding (bees [Anthophila] and Masarinae), and eusociality (social vespid wasps, ants, and some bees) [1]. The most well-studied lineages of Aculeata are the ants, which are ecologically dominant in most terrestrial ecosystems [2], and the bees, the most important lineage of angiosperm-pollinating insects [3]. Establishing the phylogenetic affinities o
Abstract by Michael G. Branstetter; Bryan N. Danforth; James P. Pitts; Brant C. Faircloth; Philip S. Ward; Matthew L. Buffington; Michael W. Gates; Robert R. Kula, Current Biology (2017) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Catastrophic Natural Disasters and Economic Growth
Negative / Null Result ReportBrain anomalies in children exposed prenatally to a common organophosphate pesticide
Negative / Null Result ReportSpecies Richness and the Temporal Stability of Biomass Production: A New Analysis of Recent Biodiversity Experiments
Negative / Null Result ReportNew Insight into the History of Domesticated Apple: Secondary Contribution of the European Wild Apple to the Genome of Cultivated Varieties
Negative / Null Result ReportIncreasing Crop Diversity Mitigates Weather Variations and Improves Yield Stability
Negative / Null Result ReportIdentification of loci governing eight agronomic traits using a GBS‐GWAS approach and validation by QTL mapping in soya bean
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1016/j.cub.2017.03.027
