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32 results for “sexual polymorphism”
Data from: The genomics and evolution of inter-sexual mimicry and female-limited polymorphisms in damselflies
<p>The dataset contains intermediate output files required to reproduce the figures in the main text and Supporting Material of Willink <em>et al</em>. 2023. The genomics and evolution of inter-sexual mimicry and female-limited polymorphisms in damselflies.</p> <p>FILE OVERVIEW:</p> <p>1. Morph-specific assemblies<br> A. File names: Afem_1354_ragtag.fasta.gz, Ifem_1049_ragtag.fa.gz, Ofem_0081_ragtag.fa.gz, O054_Shasta_run2.PMDV.HAP1.purged.fasta.gz, A059_Shasta_run1.PMDV.HAP1.purged.fa.gz<br> B. Description: genome assemblies for different morphs of <em>Ischnura elegans</em> (Afem_1354, Ifem_1049, and Ofem_0081) and <em>Ischnura senegalensis</em> (A059 and O054), generated in this study from long-read Nanopore data using Shasta v 0.7.0 (https://github.com/paoloshasta/shasta).</p> <p>2. Assembly statistics<br> A. File names: Assembly_statistics.csv, Assembly_statistics_sen.csv<br> B. Description: Completeness and quality metrics for <em>de novo</em> genome assemblies of <em>I. elegans</em> and <em>I. senegalensis</em> female morphs. See Fig. S1-S2.</p> <p>3. Repetitive content annotation<br> A. File names: A1354_ragtag_RED.bed.repeats.bed.gz, Afem_Shasta1_polished_ragtag_UPPER.fa.out.gz, Ifem_Shasta2_polished_ragtag_UPPER.fa.out.gz, ioIscEleg1.1.primary_UPPER.fa.out.gz, ToL_RED.repeats.bed.gz<br> B. Description: Annotation of repetitive sequences in morph-specific assemblies. All morph assemblies (A, I and Darwin Tree of Life assemblies) were annotated using RepeatModeler v 2.0.1 and RepeatMasker v 1.0.93 (http://www.repeatmasker.org). The A morph and DToL assemblies were additionally annotated using Red v 0.0.1 (https://github.com/BioinformaticsToolsmith/Red). RepeatMasker annotations were then used to estimate TE coverage. See Extended Data Fig. 4 and Fig. S7.</p> <p>4. GWAS output<br> A. File names: A1354_ragtag_AvI.assoc_filtered.txt.gz, A1354_ragtag_AvO.assoc_filtered.txt.gz, A1354_ragtag_IvO.assoc_filtered.txt.gz, ToL_AvI.assoc_filtered.txt.gz, ToL_AvO.assoc_filtered.txt.gz, ToL_IvO.assoc_filtered.txt.gz<br> B. Description: filtered SNPs in pairwise association tests between morphs (n = 19 resequencing samples per morph) of<em> I. elegans</em>. Analyses were conducted in PLINK v 1.9 (http://pngu.mgh.harvard.edu/purcell/plink/), using either the A morph assembly (Fig. 2a-b), or the Darwin Tree of Life (DToL) reference assembly (Extended Data Figure 8a-b) as mapping reference.</p> <p>5. Population statistics<br> A. File names: Afem_pixy_30K_fst.txt.gz, A1354_30kb.Tajima.D.gz, Afem_pi_30K_pi.txt.gz, ToL_30K_fst.txt.gz, ToL_30kb.Tajima.D.gz, ToL_30K_onepop_pi.txt.gz<br> B. Description: Genetic differentiation (fst) between morphs, Tajima's D statistics, and nucleotide diversity across 30 kb windows of the<em> I. elegans</em> genome. Population statistics were computed using either the A morph assembly (Fig. 2c-e), or the DToL reference assembly (Extended Data Figure 8c-e) as mapping reference.</p> <p>6. k-mer based GWAS<br> A. File names: AvI_kmers.fa.gz, AvO_kmers.fa.gz, OvAI_kmers.fa.gz, AvI_kmers.fa_v_A1354_Shasta_run1_table.tsv.gz, AvO_kmers.fa_v_A1354_Shasta_run1_table.tsv.gz, OvAI_kmers.fa_v_A1354_Shasta_run1_table.tsv.gz, OvAI_kmers.fa_v_Ifem_1049_ragtag_table.tsv.gz<br> B. Description: List of significant k-mers (in fasta format) in three k-mer based association analyses (n = 19 resequencing samples per morph) between morphs of<em> I. elegans</em>. Significant k-mers were then mapped to morph-specific assemblies using Blast v 2.22.28 (https://blast.ncbi.nlm.nih.gov/Blast.cgi) for short sequences. We include mapping results shown in Fig. 3a-b.</p> <p>7. Read-depth coverage<br> A. File names: reseq_coverage_norepeat_500_window.bed.gz, nano_coverage_norepeat_500_window.bed.gz, Ifem_nano_coverage_norepeat_500_window.bed.gz, Ifem_reseq_coverage_norepeat_500_window_15Mb.bed.gz, poolseq_coverage_norepeat_500_window.bed.gz, morph_coverage_norepeat_diff_500.tsv.gz, SwD_popmap<br> B. Description: Read depth coverage of the morph locus and a 15 mb region used to estimate baseline read depths. 19 Illumina resequencing samples, and one long-read Nanopore sample of each morph of <em>I. elegans</em> were mapped to both the A and I assemblies to estimate read depth. Two poolseq samples (each pool consisting of 30 females of each morph) of<em> I. senegalensis</em> were mapped to the A assembly of<em> I. elegans</em> to estimate read depth. Read depth was estimated in mosdepth v 0.2.8 (https://github.com/brentp/mosdepth) across 500 bp windows after filtering windows with more than 10% repetitive content. For poolseq samples, the difference in coverage values between the A and O pools was computed across the entire genome. Sample information for resequencing samples is recorded in the file SwD_popmap. See Fig. 3c-d, 5b, and S8.</p> <p>8. Assembly alignment<br> A. File names: nucmer_aln_Ifem_1049_ragtag_Afem_1354_ragtag.qr1_filter.reformat.coords.gz, nucmer_aln_Ofem_0081_ragtag_Afem_1354_ragtag.qr1_filter.reformat.coords.gz, nucmer_aln_Afem_Isen_Afem_Iele.qr1_filter.reformat.coords.gz, nucmer_aln_Ofem_Isen_Afem_Iele.qr1_filter.reformat.coords.gz, karyotype_AI_RagTag.csv, karyotype_AO_RagTag.csv, karyotype_AIsen_AIele.cs, karyotype_OIsen_AIele.csv<br> B. Description: Assembly alignments using nucmer v 4.0.0 (https://github.com/mummer4/mummer) and contig synteny for plotting using RIdeogram v 0.2.2 (https://cran.r-project.org/web/packages/RIdeogram/vignettes/RIdeogram.html) in R v 4.2.2 (https://www.r-project.org/). The A morph assembly of <em>I. elegans</em> was aligned to the I and O morph assemblies of<em> I. elegans</em> and to the A and O-like assemblies of <em>I. senegalensis</em>. See Fig. 4a, 5c.</p> <p>9. Genotyping the Darwin Tree of Life assembly<br> A. File names: nucmer_aln_Afem_ragtag_ToL-haplotigs.qr1_filter.reformat.coords.gz, nucmer_aln_Afem_ragtag_ToL-primary.qr1_filter.reformat.coords.gz, ToL_500_norepeat.regions.bed.gz, karyotype_AToL_13_unloc_RagTag.csv, karyotype_AToL_RagTag_haplotigs.csv<br> B. Description: To genotype the DToL reference assembly of<em> I. elegans</em>, we estimated read-depth coverage of the DToL long-read Pacbio data mapped to the A morph assembly of <em>I. elegans</em> generated in this study, and aligned the A morph assembly to both the primary DToL assembly and to the purged haplotigs. Read depth was estimated in mosdepth v 0.2.8 (https://github.com/brentp/mosdepth) and assembly alignments were conducted using nucmer v 4.0.0 (https://github.com/mummer4/mummer). See Fig. S3.</p> <p>10. SV calling<br> A. File names: A_to_A.bam, A_to_A.bam.bai, A_to_I.bam, A_to_I.bam.bai, A_to_O.bam, A_to_O.bam.bai, A_to_ToL_2mb.bam, A_to_ToL_2mb.bam.bai, I_to_A.bam, I_to_A.bam.bai, I_to_I.bam, I_to_I.bam.bai, I_to_O.bam, I_to_O.bam.bai, I_to_ToL_2mb.bam, I_to_ToL_2mb.bam.bai, O_to_A.bam, O_to_A.bam.bai, O_to_I.bam, O_to_I.bam.bai, O_to_O.bam, O_to_O.bam.bai, O_to_ToL_2mb.bam, O_to_ToL_2mb.bam.bai<br> B. Description: mergede alignements of resequencing samples (n = 19 per morph) to alternative reference assemblies (A, I, O, and DToL) for<em> I. elegans</em>. The alignments have been filtered by quality and to contain only the unlocalized scaffold 2 of chromosome 13, which includes the morph locus. These files were used to call morph-specific structural variants using samplot v 1.3.0 (https://github.com/ryanlayer/samplot). See Extended Data Figs 2, 7, and Fig. S5-S6.</p> <p>11. Mapping of inversion breakpoint reads<br> A. File names: AvO_3K.tsv.gz, AvO_22K.tsv.gz, AvO_sen_3K.tsv.gz, AvO_sen_22K.tsv.gz, IvO_3K.tsv.gz<br> B. Description: Signatures of an inversion with breakpoints at ~ 3 kb and ~ 22 kb of the unlocalized scaffold 2 of chromosome 13 on the O assembly were found in A and I resequencing samples of <em>I. elegans</em> and in poolseq samples of A females of <em>I. senegalensis</em>. We queried the reads mapping to the inversion breakpoints and then tabulated their mapping locations of the A morph assembly of<em> I. elegans</em> (Fig. 6 and Extended Data Fig. 3, 7b-c). For the first inversion breakpoint, we also mapped reads on the I morph assembly of <em>I.</em> elegans (Fig. S12).</p> <p>12. Evidence of translocation in I<br> A. File names: Ifem_nano_SUPER_13_unloc_2.bam, Ifem_nano_SUPER_13_unloc_2.bam.bai<br> B. Description: Long-read Nanopore data of a I morph female of <em>I. elegans</em> mapped to the A morph of <em>I. elegans</em> and filtered to contain the entire unlocalized scaffold 2 of chromosome 13. Read mapping was conducted in minimap2 v 2.22-r1110 (https://github.com/lh3/minimap2) and used to identify a translocation signature in the I morph, relative to the A morph of <em>I. elegans</em>. See Extended Data Fig. 6.</p> <p>13. PCA output<br> A. File names: A1354_all.eigenval, A1354_all.eigenvec, I1049_all.eigenval, I1049_all.eigenvec<br> B. Description: Eigenvectors and eigenvalues of PCA analyses of population structure between morphs of <em>I. elegans</em>. PCA analysis were conducted on morph locus, using either the A morph or the I morph assembly as mapping reference in PLINK v 1.9 (http://pngu.mgh.harvard.edu/purcell/plink/). See Fig. S4.</p> <p>14. Linkage disequilibrium<br> A. File names: A1354_SUPER_1_allr.ld.gz, A1354_SUPER_2_allr.ld.gz, A1354_SUPER_3_allr.ld.gz, A1354_SUPER_4_allr.ld.gz, A1354_SUPER_5_allr.ld.gz, A1354_SUPER_6_allr.ld.gz, A1354_SUPER_7_allr.ld.gz, A1354_SUPER_8_allr.ld.gz, A1354_SUPER_9_allr.ld.gz, A1354_SUPER_10_allr.ld.gz, A1354_SUPER_11_allr.ld.gz, A1354_SUPER_12_allr.ld.gz, A1354_SUPER_13_allr.ld.gz, A1354_SUPER_13_unloc_1_allr.ld.gz, A1354_SUPER_13_unloc_2_allr.ld.gz, A1354_SUPER_13_unloc_3_allr.ld.gz, A1354_SUPER_13_unloc_4_allr.ld.gz, A1354_SUPER_X_allr.ld.gz<br> B. Description: Estimates of recombination rate (R2) between SNPs across the first 15 mb of each chromosome and unlocalized segments of chromosome 13 of <em>I. elegans</em>. Recombination rates were estimated based on 57 resequencing samples and using the A morph assembly as mapping reference in PLINK v 1.9 (http://pngu.mgh.harvard.edu/purcell/plink/). See Extended Data Fig. 5.</p> <p>15. Gene annotations<br> A. File names: Afem_all_ragtag.gtf.gz, Afem_all_transcripts.transdecoder.genome.gff3.gz, Isen.gtf.gz<br> B. Description: Annotation of the A morph assembly of <em>I. elegans</em> using RNAseq data to assemble transcripts <em>de novo </em>for <em>I. elengans</em> and <em>I. senegalensis</em> in Stringtie v 2.1.4 (https://ccb.jhu.edu/software/stringtie/). Peptide sequences for the <em>I. elegans</em> transcripts were then predicted using Transdecoder v 5.5.0 (https://github.com/TransDecoder/TransDecoder).</p> <p>16. Gene annotations in the morph locus<br> A. File names: gene_models_shared_trancripts_simple.csv, gene_models_shared_trancripts_simple_I.csv<br> B. Description: locations of exon features for genes in the morphs locus and expressed in at least one adult sample of both<em> I. elegans</em> and <em>I. senegalensis</em>. Locations are given for the A and I assemblies. See Fig. 6 and S12.</p> <p>17. Gene expression<br> A. File names: DToL_gene_count_matrix.csv.gz, DToL_transcript_count_matrix.csv.gz, gene_count_matrix.csv.gz, transcript_count_matrix.csv.gz, Isen_gene_count_matrix.csv.gz, Isen_transcript_count_matrix.csv.gz, Iele_phenodata.csv, Isen_phenodata.csv<br> B. Description: Sample information (phenodata), gene and transcript count matrices for gene expression analysis. For <em>I. elegans</em>, gene expression was quantified on thoracic tissue of six adult females of each morph and six adult males (three sexually mature and three sexually immature in each group). Reads were mapped to both the A morph assembly and the DToL reference assembly. For <em>I. senegalensis</em>, we used previously published data (NCBI BioProject PRJDB11387) from different tissues of adult females of each morph and males (one upon emergence and one two days after emergence for each group) mapped to the A morph assembly. Gene and transcript counts were generated using Stringtie v 2.1.4 (https://ccb.jhu.edu/software/stringtie/). See Fig. 6, S9-S11, S13.</p> <p>18. SNPs in the morph locus<br> A. File names: A1354-ragtag-allsites-candidate_gene_cds.vcf.gz, A1354-ragtag-allsites-candidate_gene_cds.vcf.gz.tbi, vcf_popmap<br> B. Description: SNPs in 57 resequencing samples across coding sequences of the morph locus of <em>I. elegans</em>. The A morph assembly was used as mapping reference. Sample information for resequencing samples is recorded in the file vcf_popmap. See Fig. S14a.</p> <p>19. Domains and orthologues of Gastrula zinc-finger transcription factor in the morph locus<br> A. File names: GZnf_domain_annot.csv, GZnF_orthologue.tre, GZnf_orthologue_annot.txt<br> B. Description: Functional domains were annotated using InterProScan (https://www.ebi.ac.uk/interpro/). The gene orthologue tree was inferred using OrthoFinder v 2.5.2 (https://github.com/davidemms/OrthoFinder). See Fig. S14.</p>
Range-wide study in a sexually polymorphic wild strawberry reveals climatic and soil associations of sex ratio, sexual dimorphism, and sex chromosomes
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Data from: Extrapair mating and the strength of sexual selection: insights from a polymorphic species
Extra-pair mating could drive sexual selection in socially monogamous species, but support for this hypothesis remains equivocal. We used lifetime fitness data and a unique model species, the dimorphic white-throated sparrow (Zonotrichia albicollis), to examine how extra-pair mating affects the potential for sexual selection. The morphs of this species employ distinct reproductive strategies, with white males pursuing extra-pair mating at higher rates than tan counterparts. Social and extra-pair mating is disassortative by morph, with paternity exchange occurring primarily between pairs composed of white males and tan females. We predicted stronger sexual selection as quantified by Bateman gradients and standardized variance in reproductive success in white compared to tan males. Furthermore, because males drive extra-pair mating, we predicted costs of multiple mating and a negative Bateman gradient in tan females. The Bateman gradient for lifetime reproductive success was larger in white than tan males, and extra-pair mating contributed more to the Bateman gradient for white males. However, the Bateman gradient was positive in tan females. White males had higher variance in annual reproductive success than tan males or females, but variance in lifetime reproductive success did not differ between the morphs or sexes. Moreover, extra-pair mating did not increase variance in male reproductive success relative to apparent patterns, and within-pair success accounted for much more variance than extra-pair success. Although extra-pair mating in white males increases Bateman gradients, and potential for sexual selection via mate numbers, these latter results call the overall importance of extra-pair mating in driving selection into question.
Explaining dimorphism polymorphism: Stronger interspecific sexual differences may be favored when females search for mates in the presence of congeners
<p>Why are some species sexually dimorphic while other closely related species are not? While all females in genus <em>Strauzia</em> share a multiply-banded wing pattern typical of many other true fruit flies, males of four species have noticeably elongated wings with banding patterns "coalesced" into a continuous dark streak across much of the wing. We take an integrative phylogenetic approach to explore the evolution of this dimorphism and develop general hypotheses underlying the evolution of wing dimorphism in flies. We find that the origin of coalesced and other darkened male wing patterns correlate with the inferred origin of host plant sharing in <em>Strauzia.</em> While wing shape among non-host-sharing species tended to be conserved across the phylogeny, shapes of male wings for <em>Strauzia</em> species sharing the same host plant were more different from one another than expected under Brownian models of evolution and overall rates of wing shape change differed between non-host-sharing species and host-sharing species. A survey of North American Tephritidae finds just three other genera with specialist species that share host plants. Host-sharing species in these genera also have wing patterns unusual for each genus. Only genus <em>Eutreta </em>is like<em> Strauzia </em>in<em> </em>having the unusual wing patterns only in males, and of genera that have multiple species sharing hosts, only in <em>Eutreta </em>and <em>Strauzia</em> do males hold territories while females search for mates. We hypothesize that in species that share host plants, those where females actively search for males<em> </em>in the presence of congeners may be more likely to evolve sexually dimorphic wing patterns.</p>
Data for: Diverse mating consequences of the evolutionary breakdown of the sexual polymorphism heterostyly
<p class="MsoNormal"><span>Reproductive systems of flowering plants are evolutionarily fluid, with mating patterns changing in response to shifts in abiotic conditions, pollination systems and population characteristics. Changes in mating should be particularly evident in species with sexual polymorphisms that become ecologically destabilized, promoting transitions to alternative reproductive systems. Here, we decompose female mating portfolios (incidence of selfing, outcross mate number and intermorph mating) in eight populations of Primula oreodoxa, a self-compatible insect-pollinated herb. This species is ancestrally distylous, with populations subdivided into two floral morphs that usually mate with each other (disassortative mating). Stages in the breakdown of polymorphism also occur, including 'mixed' populations of distylous and homostylous (self-pollinating) morphs and purely homostylous populations. Population morph ratios vary with elevation in association with differences in pollinator availability, providing an unusual opportunity to investigate changes in mating patterns accompanying transitions in reproductive systems. Unexpectedly, individuals mostly outcrossed randomly, with substantial disassortative mating in at most two distylous populations. As predicted, mixed populations had higher selfing rates than distylous populations, within mixed populations homostyles selfed almost twice as much as the distylous morphs, and homostylous populations exhibited the highest selfing rates. Populations with homostyles outcrossed with fewer mates and mate number varied negatively with population selfing rates. These differences indicate maintenance of distyly at low elevation, transition to monomorphic selfing at high elevation and uncertain, possibly variable fates at intermediate elevation. By quantifying the earliest changes in mating that initiate reproductive transitions, our study highlights the key role of mating in promoting evolutionary divergence.</span></p>
Data from: Extrapair mating and the strength of sexual selection: insights from a polymorphic species
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Data from: Mimetic females do not bear reproductive costs: Challenging the sexual selection hypothesis in female-limited mimetic polymorphism in butterflies
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Data for: Diverse mating consequences of the evolutionary breakdown of the sexual polymorphism heterostyly
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Data from: Camouflage, conspicuousness, and inducible color change in a polymorphic, sexually dichromatic frog
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Sexual selection and predator response in a male-polymorphic livebearing fish
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Sexual selection's role in the persistence of polymorphism in an aposematic signal
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Explaining dimorphism polymorphism: Stronger interspecific sexual differences may be favored when females search for mates in the presence of congeners
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Structural genomic variation and behavioral interactions underpin a balanced sexual mimicry polymorphism
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Genomic population structure of sympatric sexual and asexual populations in a parasitic wasp, Meteorus pulchricornis (Hymenoptera: Braconidae), inferred from six hundred single-nucleotide polymorphism loci
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Data from: Male clasping ability, female polymorphism and sexual conflict: fine-scale elytral morphology as a sexually antagonistic adaptation in female diving beetles
During sexual conflict, males and females are expected to evolve traits and behaviours with a sexually antagonistic function. Recently, sexually antagonistic coevolution was proposed to occur between male and female diving beetles (Dytiscidae). Male diving beetles possess numerous suction cups on their forelegs whereas females commonly have rough structures on their elytra. These rough structures have been suggested to obstruct adhesion from male suction cups during mating attempts. However, some diving beetle species are dimorphic, where one female morph has a rough elytra and the other has a smooth elytra. Here, we used biomechanics to study the adhesive performance of male suction cups on the female morphs in two diving beetle species: Dytiscus lapponicus and Graphoderus zonatus. We compared adhesion on the rough and the smooth female morphs to infer the function of the rough elytral modifications. We found that the adhesive force on the rough structures was much lower than on other surfaces. These findings support the suggestion of sexual conflict in diving beetles and a sexually antagonistic function of the rough female structures. In addition, males differed in their adhesive capacity on different female surfaces, indicating a male trade-off between adhering to smooth and rough female morphs.
Sexual signal loss, pleiotropy, and maintenance of a male reproductive polymorphism in crickets
<p>Pleiotropy between male signals and female preferences can facilitate evolution of sexual communication by maintaining coordination between the sexes. Alternatively, it can favor variation in the mating system, such as a reproductive polymorphism. It is unknown how common either of these scenarios are in nature. In Pacific field crickets (<i>Teleogryllus oceanicus</i>) on Kauai, Hawaii, a mutation (<i>flatwing</i>) that segregates as a single locus is responsible for the rapid loss of song production in males. We used outbred cricket colonies fixed for male wing morph to investigate whether homozygous <i>flatwing</i> and <i>normal-wing</i> (wild-type) females differ in responsiveness to male calling song and propensity to mate when paired with either a <i>flatwing</i> or <i>normal-wing</i> male in the presence or absence of courtship song. <i>Flatwing</i> females were less likely to mount a male than <i>normal-wing</i> females. Females of both genotypes showed a preference for <i>normal-wing</i> males and were more likely to mate in the presence of courtship song; n<i>ormal-wing </i>females<i> </i>were<i> </i>particularly likely to mate with song. Our results show that negative pleiotropy between obligate male silence and female mating behavior can constrain the evolution of sexual signal loss and contribute to the maintenance of a male reproductive polymorphism in the wild. </p>
Systematic review reveals multiple sexually antagonistic polymorphisms affecting human disease and complex traits
<p>An evolutionary model for sex differences in disease risk posits that alleles conferring higher risk in one sex may be protective in the other. These sexually antagonistic (SA) alleles are predicted to be maintained at frequencies higher than expected under purifying selection against unconditionally deleterious alleles, but there are apparently no examples in humans. Discipline-specific terminology, rather than a genuine lack of such alleles, could explain this disparity. We undertook a two-stage review of evidence for SA polymorphisms in humans using search terms from (i) evolutionary biology and (ii) biomedicine. While the first stage returned no eligible studies, the second revealed 51 genes with sex-opposite effects, 22 increased disease risk or severity in one sex but protected the other. Those with net positive effects occurred at higher frequencies. None were referred to as SA. Our review reveals significant communication barriers to fields as a result of discipline-specific terminology.</p>
Sexual conflict does not maintain female colour polymorphism in a territorial damselfly
<div> <div> <div> <div> <p>Female-limited dimorphism is commonly hypothesized to be an adaptation resulting from male harassment or sexual conflict over female mating rate. We examined whether males discriminate be- tween female colour morphs of the beautiful Hawaiian damselfly, Megalagrion calliphya, in order to evaluate whether male harassment could explain the existence and/or maintenance of this dimorphism. Previous studies of this species suggest that spatially varying ecological selection maintains the dimorphism, but these hypotheses are not mutually exclusive. Here, we used a common method of measuring male behaviour towards secured females at mating sites under naturally occurring conditions, using five populations that range in male-like female morph frequency from 0 to 0.86. We found very low rates of interaction in a total of 64 one-hour trials, and male behaviour towards females did not differ significantly between colour morphs. By comparing the populations that vary in female morph fre- quency, we found no evidence of frequency-dependent sexual selection on colour, suggesting that this polymorphism is maintained by selective forces other than sexual conflict.</p> </div> </div> </div> </div>
Data from: Male clasping ability, female polymorphism and sexual conflict: fine-scale elytral morphology as a sexually antagonistic adaptation in female diving beetles
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Data from: Audience effects in a sexually polymorphic species: Audience morph generates plasticity in mating behavior
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.