Evolutionary Biology

Using General Algebra to Model the Directed Evolution of an Asexual Population

1. Kangbien Park

Reviewed by Arcadia Science

A model for background selection in nonequilibrium populations

1. Gustavo V Barroso
2. Aaron P Ragsdale

Reviewed by Peer Community in Evolutionary Biology

Sex chromosomes and chromosomal rearrangements are key to behavioural sexual isolation in Jaera albifrons marine isopods

1. Ambre Ribardiere
2. Claire Daguin-Thiebaut
3. Jerome Coudret
4. Gildas Le Corguille
5. Komlan Avia
6. Celine Houbin
7. Stephane Loisel
8. Pierre-Alexandre Gagnaire
9. Thomas Broquet

Reviewed by Peer Community in Evolutionary Biology

Beyond venomous fangs: Uloboridae spiders have lost their venom but not their toxicity

1. Xiaojing Peng
2. Ludwig Dersch
3. Josephine Dresler
4. Tim Lüddecke
5. Tim Dederichs
6. Peter Michalik
7. Steve Peigneur
8. Jan Tytgat
9. Afrah Hassan
10. Antonio Mucciolo
11. Marc Robinson-Rechavi
12. Giulia Zancolli

Reviewed by preLights

Increased clonality and genetic differentiation across the Arctic Ocean in tetraploid sea anemone Aulactinia stella

1. Ekaterina Bocharova
2. Aleksandr Volkov
3. Solenn Stoeckel

Reviewed by Peer Community in Evolutionary Biology

Assessing the Potential of Ancient Protein Sequences in the Study of Hominid Evolution

1. Ioannis Patramanis
2. Laurits Skov
3. Enrico Cappellini
4. Fernando Racimo

Reviewed by Peer Community in Evolutionary Biology

Evaluating the Impact and Detectability of Mass Extinctions on Total-Evidence Dating

1. Minghao Du
2. Wenhui Wang
3. Jingqiang Tan
4. Joëlle Barido-Sottani

Reviewed by preLights

Fluidity and Predictability of Epistasis on an Intragenic Fitness Landscape

1. Sarvesh Baheti
2. Namratha Raj
3. Supreet Saini

• Curated by eLife

  eLife Assessment

  This paper addresses the significant question of quantifying epistasis patterns, which affect the predictability of evolution, by reanalyzing a recently published combinatorial deep mutational scan experiment. The findings are useful, showing that epistasis is fluid, i.e. strongly background dependent, but that fitness effects of mutations are statistically predictable based on the background fitness. While the general approach appears solid, some claims remain incompletely supported by the analysis, as arbitrary cutoffs are used and the description of methods lacks specifics. This analysis should be of interest to the community working on fitness landscapes.

Reviewed by eLife