Search bioRxiv⌕ Search

bioRxiv · 10.1101/2024.07.12.603304

Elevational constraints on flight efficiency shape global gradients in avian wing morphology

Abstract

Wings with elongated shape or larger surface area are associated with increased flight efficiency and dispersal ability in a wide range of animals from insects to birds 1-4. Inter- and intraspecific variation in these attributes of wing shape is determined by a range of factors - including foraging ecology, migration and climatic seasonality 5-8 - all of which may drive latitudinal gradients in wing morphology 9,10. A separate hypothesis predicts that wing shape should also follow an elevational gradient because air density and oxygen supply decline with altitude 11, altering the aerodynamics of flight, and driving the evolution of more efficient wings in high-elevation species to compensate for reduced lift 12,13. However, previous analyses have found only mixed support for the thin-air hypothesis 14-18, and we currently lack a global synthesis of elevational gradients in wing design for any taxonomic group. In this study, we use phylogenetic comparative models to explore elevational effects on wing morphology in 9986 bird species, while accounting for multiple climatic and ecological attributes, including latitude, temperature seasonality, body mass, aerial lifestyle and migration. We found that relative wing elongation (hand-wing index) and wing area increase with elevation, particularly in the upper montane zone (>4 km above sea level). These results confirm a pervasive elevational gradient in avian wing morphology, highlighting the role of aerodynamic constraints as key mechanisms shaping global patterns of trait evolution in flying animals.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yang, J., Yang, C., Lin, H.-w., Lees, A. C., Tobias, J. A.. 2024-07-16. Elevational constraints on flight efficiency shape global gradients in avian wing morphology. https://doi.org/10.1101/2024.07.12.603304

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Transmission of mutated SARS-CoV-2 variants is favored by relatively prolonged infections due to delayed immunity

SARS-CoV-2 evolution enhanced viral fitness and immune evasion, extending the COVID-19 pandemic and resulting in millions of excess deaths. Viral diversity is generated within infected individuals, yet the timing and interplay of viral and immunological forces that drive transmissible evolution are incompletely understood. We developed a multi-scale within host phylodynamic (WiPhy) model of SARS-CoV-2 infection which couples viral replication, innate and acquired immune responses, and viral mutation. We then validated the model against quantitative viral and phylodynamic metrics. Model output predicts that typical acute infections rapidly generate genetic diversity due to accumulation of minor variants which in most cases do not achieve sufficient concentrations for transmission. Delayed innate immune responses correlate with higher peak viral load and diversification, allowing higher transmission risk of the founder virus or with a novel variant that is equally or less fit. In contrast, the risk of transmitting a fitter variant is highest during the ~10% of infections in which viral loads remain sufficiently high for transmission after 10-14 days. In these cases, non-sustained innate and/or weak acquired immune responses allow sufficient time for selection of a variant with one or more fitness enhancing non-synonymous mutations. Across a simulated cohort of ~1500 individuals, 5% of transmission risk came from variants with enhanced fitness from nonsynonymous mutations, and 13% of simulated infections accounted for 90% of fitter variant transmission risk. Our results highlight how the timing and interplay of viral and immunological forces within a host create bottlenecks that severely limit between host evolution.

evolutionary biology↗

AI-Powered Discovery of Novel RNA Viruses from the Permafrost of a 14,300-Year-Old Pleistocene Wolf

Ancient viruses preserved as molecular relics offer rare and often unpredictable insights into virus-host co-evolution and the ecological dynamics of past ecosystems. However, the recovery of ancient RNA viruses via paleotranscriptomics has remained largely unexplored, constrained by the inherent chemical instability of RNA and the lack of sensitive detection tools capable of identifying deeply divergent sequences. Here, we leveraged recent advances in artificial intelligence and high-throughput sequencing to conduct comprehensive metatranscriptomic mining of publicly available RNA-seq datasets from three ancient or extinct host species: the woolly mammoth (Mammuthus primigenius), the Tasmanian tiger (Thylacinus cynocephalus), and the gray wolf (Canis lupus). We performed sensitive homology searches using the AI-driven protein language model Lucaprot, coupled with structural validation via AlphaFold2, to screen billions of raw sequencing reads for conserved viral RNA-dependent RNA polymerase (RdRp) signature genes. Our pipeline identified two near-complete previously unknown RNA viruses in a 14,300-year-old Pleistocene wolf specimen. Phylogenetic analyses placed them within established mycovirus genera (Duamitovirus and Orthocurvulavirus), indicating they infected fungi that inhabited the carcass rather than the wolf itself. Despite deep sequence divergence from known viruses (57.6% and 60.8% RdRp amino acid identity, respectively), the catalytic A, B, and C motifs remain structurally intact. Strict authentication through multiple analyses firmly verified their ancient provenance. To our knowledge, this is the earliest documented evidence of novel RNA viruses persisting within a host-associated microbiome, extending the observed preservation timescale from centuries to over fourteen millennia. Our findings demonstrate that permafrost is a viable substrate for paleovirological discovery extending beyond the host organism and opening new opportunities for reconstructing ancient microbial and viral ecosystems.

evolutionary biology↗

Gene tree patterns help answer: vicariance or dispersal?

Historical biogeography seeks to understand the drivers of species distributions over space and time. One question of interest is how, out of many possible ways, does geography drive speciation. Vicariance, where geographic barriers arise splitting populations and limiting gene flow, can lead to allopatric speciation. Founder events, where a small number of individuals disperse over a barrier, can similarly lead to allopatric speciation if the individuals remain isolated. Both of these scenarios can lead to identical ranges of and relationships between modern species. Classic biogeographic approaches often focus on the history of populations of one or few species on shallow time scales or multiple species on deep time scales. We argue that focusing exclusively on either end of this time spectrum misses a venue for investigating the biogeographic drivers of speciation, at least for certain speciation events. With simple coalescent simulations with multiple species, we show as a proof of concept that gene tree distributions vary predictably between vicariance and founder event speciation. The existence of predictable patterns warrants the development of new approaches that capitalize the gene trees to distinguish vicariance and dispersal as drivers of speciation.

evolutionary biology↗