Submit Methods Articles to the Journal of Evolutionary Biology
We invite submissions of Methods Articles that describe new statistical, computational or ‘wet lab’ approaches across the field of evolutionary biology. Manuscripts can have an empirical element of methods application, but the emphasis should be on introducing the novel method or approach.
The development of novel methods and approaches is vital to addressing fundamental questions in evolutionary biology. Methods Articles benefit authors by providing a visible, citable record of their contribution to technical advances in the field. But more importantly, publishing new methodologies benefits our discipline by making new tools accessible to all, thereby facilitating and accelerating research in the field. Methods Articles also stimulate discussion of best practice on a larger scale.
For more information on preparing a Methods Article, please visit our author guidelines. Submission enquiries to the journal office ([email protected]) are very much welcomed. When ready, submit your research via our online submissions site. We look forward to receiving your paper!
Browse our Methods Articles below:
Amino acid substitution models play an important role in studying the evolutionary relationships among species from protein sequences. The amino acid substitution model consists of a large number of parameters; therefore, it is estimated from hundreds or thousands of alignments. Both general models ...
Statistical analysis and data visualization are integral parts of science communication. One of the major issues in current data analysis practice is an overdependency on—and misuse of— p -values. Researchers have been advocating for the estimation and reporting of effect sizes for quantitative ...
Critical thermal limits (CTLs) gauge the physiological impact of temperature on survival or critical biological function, aiding predictions of species range shifts and climatic resilience. Two recent Drosophila species studies, using similar approaches to determine temperatures that induce ...
Estimating parameters of amino acid substitution models is a crucial task in bioinformatics. The maximum likelihood (ML) approach has been proposed to estimate amino acid substitution models from large datasets. The quality of newly estimated models is normally assessed by comparing with the ...
Phylogenetic comparative methods (PCMs) can be used to study evolutionary relationships and trade‐offs among species traits. Analysts using PCM may want to (1) include latent variables, (2) estimate complex trait interdependencies, (3) predict missing trait values, (4) condition predicted traits ...
Seed banking (or dormancy) is a widespread bet‐hedging strategy, generating a form of population overlap, which decreases the magnitude of genetic drift. The methodological complexity of integrating this trait implies it is ignored when developing tools to detect selective sweeps. But, as dormancy ...
Amino acid substitution models represent the substitution rates among amino acids during the evolution of protein sequences. The models are a prerequisite for maximum likelihood or Bayesian methods to analyse the phylogenetic relationships among species based on their protein sequences. Estimating ...
Unequal breeding sex ratio can significantly reduce effective population size, allowing a rare neutral allele to jump to a high frequency through genetic drift. However, this one‐way alteration to allele frequency appears inconsistent with the concept that drift is non‐directional. Based on ...
For over a decade, experimental evolution has been combined with high‐throughput sequencing techniques. In so‐called Evolve‐and‐Resequence (E&R) experiments, populations are kept in the laboratory under controlled experimental conditions where their genomes are sampled and allele frequencies ...
Natural selection on floral scent composition is a key element of the hypothesis that pollinators and other floral visitors drive scent evolution. The measure of such selection is complicated by the high‐dimensional nature of floral scent data and uncertainty about the cognitive processes involved ...
A paradigm shift away from null hypothesis significance testing seems in progress. Based on simulations, we illustrate some of the underlying motivations. First, p ‐values vary strongly from study to study, hence dichotomous inference using significance thresholds is usually unjustified. Second, ...
