The role of haplodiploidy in the evolution of eusocial insects and why in Hymenoptera males do not perform any work is presently unknown. We show here that within-colony conflict caused by the coexistence of individuals of the same caste expressing the same character in different ways can be fundamental in the evolution of social characters in species that have already reached the eusocial condition. Mosaic colonies, composed by individuals expressing either the wild-type or a mutant phenotype, inevitably occurs during the evolution of advantageous social traits in insects. We simulated the evolution of an advantageous social trait increasing colony fitness in haplodiploid and diplodiploid species considering all possible conditions, i.e. dominance/recessivity of the allele determining the new social character, sex of the castes, and influence of mosaicism on the colony fitness. When mosaicism lowered colony fitness below that of the colony homogeneous for the wild type allele, the fixation of an advantageous social character was possible only in haplodiploids with female castes. When mosaicism caused smaller reductions in colony fitness, reaching frequencies of 90% was much faster in haplodiploids with female castes and dominant mutations. Our results suggest that the evolution of social characters is easier in haplodiploid than in diplodiploid species, provided that workers are females.
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PeerJ
January 2025
Department of Biology, University of Pennsylvania, Philadelphia, PA, United States of America.
Marine heatwaves are starting to occur several times a decade, yet we do not understand the effect this has on corals across biological scales. This study combines tissue-, organism-, and community-level analyses to investigate the effects of a marine heatwave on reef-building corals. Adjacent conspecific pairs of coral colonies of and that showed contrasting phenotypic responses (, bleached .
View Article and Find Full Text PDFEcotoxicol Environ Saf
December 2024
School of Life Sciences, Xiangya School of Medicine, Central South University, Changsha 510006, China. Electronic address:
Diisooctyl phthalate (DIOP), a common phthalate plasticizer, is frequently encountered in everyday life. Despite its widespread use, there is a dearth of toxicological research on DIOP, resulting in incomplete knowledge of its potential harmful effects. Our current research endeavored to provide a comprehensive evaluation of DIOP's toxicological profile using both cellular and Caenorhabditis elegans models as our in vitro and in vivo study subjects.
View Article and Find Full Text PDFJ Insect Physiol
December 2024
Department of Entomology, VA Tech, Blacksburg, VA, 24061-0319, United States.
The role of nitrogen during insect development and reproduction is key in the success of a species, and is of primary importance in wood feeding taxa. Based on comparison of xylophagous, one-piece termites to the termite sister group, subsocial wood-feeding cockroaches in the genus Cryptocercus, it has been proposed that the evolution of termite eusociality involved a fundamental shift in nitrogen allocation strategies. Cryptocercus exhibits a nitrogen storage economy, with individuals gradually increasing in size and cuticular density over a years-long developmental period.
View Article and Find Full Text PDFmSphere
December 2024
Department of Biology, University of North Carolina, Greensboro, North Carolina, USA.
Unlabelled: Honey bees are the third most economically important agricultural animal in the world due to their role as pollinators. Honey bee pollination services and all hive duties are performed by female workers, while the male drones have one job to mate and share their genetics with a virgin queen from another colony. Thus, drone fitness is directly tied to queen success and colony survival, yet they have been severely understudied compared to their female counterparts.
View Article and Find Full Text PDFPeerJ Comput Sci
August 2024
School of Software, Henan Polytechnic University, Jiaozuo, Henan, China.
Arbitrage spread prediction can provide valuable insights into the identification of arbitrage signals and assessing associated risks in algorithmic trading. However, achieving precise forecasts by increasing model complexity remains a challenging task. Moreover, uncertainty in the development and maintenance of model often results in extremely unstable returns.
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