Biology subjects

Field, D. L.

Publications and source records attributed to Field, D. L..

7 recordsLinked to original sources

bioRxiv2025

Extreme long-range migration distorts flower colour clines in an Antirrhinum hybrid zone

Hybrid zones are natural laboratories for the study of speciation, allowing researchers to quantify selection, dispersal, and barriers to gene flow in the real world. We analyzed a flower-colour hybrid zone between two varieties of the common snapdragon, Antirrhinum majus subspecies majus, based on a dataset of 22,494 individuals sampled over 10 consecutive years (Field et al. in prep). We found narrow geographic clines at six SNP markers that are tightly linked to known flower colour loci, with widths ranging from 0.8 to 5.5 km. The clines have a stepped shape, which is expected when strong linkage disequilibrium generated by diffusive dispersal into the hybrid zone, increases the effective selection at the cline centre. However, the observed LD (mean [Formula]) was far too weak to explain the stepped cline shapes. Instead, we show that the stepped clines are shaped primarily by the observed long-distance dispersal. We used a novel simulation framework that accounts for realistic dispersal and multilocus selection to estimate the direct selection (1.5% to 18.5%) and indirect selection due to LD (1.2% to 2.4%) on each colour locus. Finally, we show that the barrier to the flow of neutral alleles through diffusive dispersal causes negligible distortion to the clines, while the reduction in gene flow due to selection on long-range migrants is substantial ([~]50%). The results shed new light onto the processes that shape hybrid zones, and highlight the need to account for the effects of realistic dispersal in theoretical and empirical studies of hybrid zones.

genetics↗

bioRxiv2025

Genome-wide cline analysis identifies new locus contributing to a barrier to gene flow across an Antirrhinum hybrid zone

Identification of the genomic regions that contribute to reproductive isolation and how they interact is a major goal of evolutionary genetics. Much effort has focused on locating candidate genes and potential barrier loci by scanning genomes for regions of excess differentiation (FST). An alternative, and perhaps more robust approach, would be to scan for genomic regions exhibiting steep clines in allele frequency across a hybrid zone. Here we develop this approach and apply it to genomic data from across a hybrid zone between varieties of Antirrhinum majus subspecies majus with different flower colour patterns (A. m. m var. pseudomajus and A. m. m var. striatum). Most steep clines are clustered in seven genomic regions, only four of which were present from FST scans between all pair-wise comparisons. Six of these regions carry previously identified loci that influence flower colour in the hybrid zone. The seventh region harbours a novel locus, RUBIA, modifying magenta intensity. Clines at RUBIA approached towards fixation on magenta side of the hybrid zone, whilst remaining polymorphic on the yellow side. This polymorphism on the yellow side may reflect a smaller phenotypic effect of RUBIA in yellow compared to magenta genetic backgrounds. Our findings illustrate how whole-genome cline scans in hybrid zones can robustly detect genomic regions contributing to phenotypic differences and highlight how different reproductive barrier loci interact across the genome.

evolutionary biology↗

bioRxiv2024

Biomechanical properties of defence vibrations produced by bees

AbstractBees use thoracic vibrations produced by their indirect flight muscles for powering wingbeats in flight, but also during mating, pollination, defence, and nest building. Previous work on non-flight vibrations has mostly focused on acoustic (airborne vibrations) and spectral properties (frequency domain). However, mechanical properties such as the vibrations acceleration amplitude are important in some behaviours, e.g., during buzz pollination, where higher amplitude vibrations remove more pollen from flowers. Bee vibrations have been studied in only a handful of species and we know very little about how they vary among species. Here, we conduct the largest survey to date of the biomechanical properties of non-flight bee buzzes. We focus on defence buzzes as they can be induced experimentally and provide a common currency to compare among taxa. We analysed 15,000 buzzes produced by 306 individuals in 65 species and six families from Mexico, Scotland, and Australia. We found a strong association between body size and the acceleration amplitude of bee buzzes. Comparison of genera that buzz-pollinate and those that do not suggests that buzz-pollinating bees produce vibrations with higher acceleration amplitude. We found no relationship between bee size and the fundamental frequency of defence buzzes. Although our results suggest that body size is a major determinant of the amplitude of non-flight vibrations, we also observed considerable variation in vibration properties among bees of equivalent size and even within individuals. Both morphology and behaviour thus affect the biomechanical properties of non-flight buzzes. Summary statementAnalyses across 65 bee taxa in three continents indicates that body size is a major determinant of the acceleration amplitude but not the oscillation frequency of non-flight thoracic vibrations.

ecology↗

bioRxiv2024

Joint estimation of paternity, sibships and pollen dispersal in a snapdragon hybrid zone

1Inferring genealogical relationships of wild populations is useful because it gives direct estimates of mating patterns and variance in reproductive success. Inference can be improved by including information about parentage shared between siblings, or by modelling pheno-types or population data related to mating. However, we currently lack a framework to infer parent-offspring relationships, sibships, and population parameters in a single analysis. To address this we here extend a previous method Fractional Analysis of Paternity and Sibships to include population data for the case where one parent is known. We illustrate this with the example of pollen dispersal in a natural hybrid zone population of the snapdragon Antirrhinum majus. Pollen dispersal is leptokurtic, with half of mating events occurring within 30m, but with a long tail of mating events up to 859m. Using simulations we find that both sibship and population information substantially improve pedigree reconstruction, and that we can expect to resolve median dispersal distances with high accuracy.

evolutionary biology↗

bioRxiv2021

Conserved genomic landscapes of differentiation across Populus speciation continuum

Speciation, the continuous process by which new species form, is often investigated by looking at the variation of nucleotide diversity and differentiation across the genome (hereafter genomic landscapes). A key challenge lies in how to determine the main evolutionary forces at play shaping these patterns. One promising strategy, albeit little used to date, is to comparatively investigate these genomic landscapes as a progression through time by using a series of species pairs along a divergence gradient. Here, we resequenced 201 whole-genomes from eight closely related Populus species, with pairs of species at different stages along the divergence gradient to learn more about speciation processes. Using population structure and ancestry analyses, we document extensive introgression between some species pairs, especially those with parapatric distributions. We further investigate genomic landscapes, focusing on within-species (nucleotide diversity and recombination rate) and among-species (relative and absolute divergence) summary statistics of diversity and divergence. We observe highly conserved patterns of genomic divergence across species pairs. Independent of the stage across the divergence gradient, we find support for signatures of linked selection (i.e., the interaction between natural selection and genetic linkage) in shaping these genomic landscapes, along with gene flow and standing genetic variation. We highlight the importance of investigating genomic patterns on multiple species across a divergence gradient and discuss prospects to better understand the evolutionary forces shaping the genomic landscapes of diversity and differentiation.

evolutionary biology↗

bioRxiv2020

Estimating inbreeding and its effects in a long-term study of snapdragons (Antirrhinum majus)

Many studies have quantified the distribution of heterozygosity and relatedness in natural populations, but surprisingly few have examined the demographic processes driving these patterns. In this study we take a novel approach by studying how population structure affects both pairwise identity and the distribution of heterozygosity in a natural population of a self-incompatible plant Antirrhinum majus. We look at a measure of the variance in heterozygosity within a population, identity disequilibrium (g2), together with FST using a panel of 91 SNPs in 22,353 individuals collected over 11 years. We find that pairwise relatedness (FST) declines rapidly over short spatial scales, and the excess variance in heterozygosity between individuals (g2) reflects significant variation in inbreeding. Additionally, we detect an excess of individuals with around half the average heterozygosity, indicating that some are due to selfing or matings between close relatives. We use two types of simulation to ask whether variation in heterozygosity is consistent with fine-scale spatial population structure. First, by simulating offspring using parents drawn from a range of spatial scales, we show that the known pollen dispersal kernel explains g2. Second, we simulate a 1000-generation pedigree using the known dispersal and spatial distribution and find that the resulting g2 is consistent with that observed from the field data. In contrast, a simulated population with uniform density underestimates g2, indicating that heterogeneous density promotes identity disequilibrium. Our study shows that heterogeneous density and leptokurtic dispersal can together explain the distribution of heterozygosity. Furthermore, our study highlights the limitations of making theoretical predictions from simulations that only assume simple density and dispersal distributions.

evolutionary biology↗

bioRxiv2018

Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system

Self-incompatibility (SI) is a genetically based recognition system that functions to prevent self-fertilization and mating among related plants. An enduring puzzle in SI is how the high diversity observed in nature arises and is maintained. Based on the underlying recognition mechanism, SI can be classified into two main groups: self- and non-self recognition. Most work has focused on diversification within self-recognition systems despite expected differences between the two groups in the evolutionary pathways and outcomes of diversification. Here, we use a deterministic population genetic model and stochastic simulations to investigate how novel S-haplotypes evolve in a gametophytic non-self recognition (SRNase/S Locus F-box (SLF)) SI system. For this model the pathways for diversification involve either the maintenance or breakdown of SI and can vary in the order of mutations of the female (SRNase) and male (SLF) components. We show analytically that diversification can occur with high inbreeding depression and self-pollination, but this varies with evolutionary pathway and level of completeness (which determines the number of potential mating partners in the population), and in general is more likely for lower haplotype number. The conditions for diversification are broader in stochastic simulations of finite population size. However, the number of haplotypes observed under high inbreeding and moderate to high self-pollination is less than that commonly observed in nature. Diversification was observed through pathways that maintain SI as well as through self-compatible intermediates. Yet the lifespan of diversified haplotypes was sensitive to their level of completeness. By examining diversification in a non-self recognition SI system, this model extends our understanding of the evolution and maintenance of haplotype diversity observed in a recognition system common in flowering plants.

evolutionary biology↗