Evolutionary Biology

Detection of domestication signals through the analysis of the full distribution of fitness effects

1. David Castellano
2. Ioanna-Theoni Vourlaki
3. Ryan N. Gutenkunst
4. Sebastian E. Ramos-Onsins

Reviewed by Peer Community in Evolutionary Biology

Unraveling genetic load dynamics during biological invasion: insights from two invasive insect species

1. Eric Lombaert
2. Aurélie Blin
3. Barbara Porro
4. Thomas Guillemaud
5. Julio S. Bernal
6. Gary Chang
7. Natalia Kirichenko
8. Thomas W. Sappington
9. Stefan Toepfer
10. Emeline Deleury

Reviewed by Peer Community in Evolutionary Biology, Arcadia Science

Ancestral sequence reconstruction of the Mic60 Mitofilin domain reveals residues supporting respiration in yeast

1. Friederike M. C. Benning
2. Tristan A. Bell
3. Tran H. Nguyen
4. Della Syau
5. Louise B. Connell
6. Yi‐Ting Liao
7. Matthew P. Keating
8. Margaret Coughlin
9. Anja E. H. Nordstrom
10. Maria Ericsson
11. Corrie J. B. daCosta
12. Luke H. Chao

Reviewed by preLights

The paradox of extremely fast evolution driven by genetic drift in multi-copy gene systems

1. Xiaopei Wang
2. Yongsen Ruan
3. Lingjie Zhang
4. Xiangnyu Chen
5. Zongkun Shi
6. Haiyu Wang
7. Bingjie Chen
8. Miles Tracy
9. Liying Huang
10. Chung-I Wu
11. Haijun Wen

• Curated by eLife

  eLife Assessment

  This study presents a useful theoretical model of molecular evolution of multi-copy gene systems by extending the classic Haldane model and applies the model to explain the surprisingly rapid evolution of rRNA genes. Although the conceptual model is intuitive and provides a new perspective for contextualizing this problem, the model presented does not adequately consider plausible biological constraints on the molecular and genetic processes. The lack of such constraints in the model, along with technical issues in the data analysis, provide incomplete support for the conclusion that the genetic variation patterns of rRNA genes in mouse is compatible with neutral evolution.

Reviewed by eLife

The Generalized Haldane (GH) model tracking population size changes and resolving paradoxes of genetic drift

1. Yongsen Ruan
2. Xiaopei Wang
3. Mei Hou
4. Liying Huang
5. Wenjie Diao
6. Miles Tracy
7. Shuhua Xu
8. Weiwei Zhai
9. Zhongqi Liufu
10. Haijun Wen
11. Chung-I Wu

• Curated by eLife

  eLife Assessment

  This study presents a useful model of genetic drift by incorporating variance in reproductive success, aiming to address several apparent paradoxes in molecular evolution. However, some of the apparent paradoxes only arise in the most basic version of standard models and have been reconciled in more advanced models. Nonetheless, this paper offers intuitive explanations for these apparent paradoxes, by adopting a new perspective and solid modeling and analysis. More broadly, the proposed model provides an alternative framework to address puzzling observations in molecular evolution, which will be of interest to evolutionary and population geneticists.

Reviewed by eLife