Evolutionary Biology

Estimating dispersal rates and locating genetic ancestors with genome-wide genealogies

1. Matthew Osmond
2. Graham Coop

• Curated by eLife

  Evaluation Summary:

  The relationship between homologous chromosomes sampled in a population can be described by an "ancestral recombination graph" or as a "forest" of correlated coalescent trees describing the relationship at each locus on the chromosome. It has long been clear that this graph contains enormous amounts of information about the history of the population, and should be used in analysis. Hitherto this has been computationally infeasible, but recently developed methods are starting to make it possible, and this paper is one of the first attempts to do so. The paper should be of interest to anyone working with population genetic inference, although there are concerns about possible bias in the estimates from the 1001 Arabidopsis Genomes that need to be resolved.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1, Reviewer #2 and Reviewer #3 agreed to share their names with the authors.)

Reviewed by eLife

Diverse mating phenotypes impact the spread of wtf meiotic drivers in Schizosaccharomyces pombe

1. José Fabricio López Hernández
2. Rachel M Helston
3. Jeffrey J Lange
4. R Blake Billmyre
5. Samantha H Schaffner
6. Michael T Eickbush
7. Scott McCroskey
8. Sarah E Zanders

• Curated by eLife

  Evaluation Summary:

  Meiotic drivers are selfish elements that distort segregation to be over-represented in offspring of heterozygotes. Multiple meiotic drive elements are known in the yeast Schizosaccharomyces pombe, which can seem puzzling as this fungus has long been thought to undergo moslty same-clone mating because of its mating-type switching system. This manuscript reports theoretical and experimental analyses suggesting that the outcrossing rate can be high enough in this species to explain the spread of multiple meiotic drive elements. The findings support the emerging view that homothallic fungi can undergo quite high rates of outcrossing, which is also in agreement with evolutionary considerations on the evolution of mating types. This study can thus be of high relevance for scientists studying meiotic drivers and/or mating systems and their evolution.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 and Reviewer #3 agreed to share their names with the authors.)

Reviewed by eLife

Full Genome Nobecovirus Sequences From Malagasy Fruit Bats Define a Unique Evolutionary History for This Coronavirus Clade

1. Gwenddolen Kettenburg
2. Amy Kistler
3. Hafaliana Christian Ranaivoson
4. Vida Ahyong
5. Angelo Andrianiaina
6. Santino Andry
7. Joseph L. DeRisi
8. Anecia Gentles
9. Vololoniaina Raharinosy
10. Tsiry Hasina Randriambolamanantsoa
11. Ny Anjara Fifi Ravelomanantsoa
12. Cristina M. Tato
13. Philippe Dussart
14. Jean-Michel Heraud
15. Cara E. Brook

Reviewed by ScreenIT

An epi‐evolutionary model for predicting the adaptation of spore‐producing pathogens to quantitative resistance in heterogeneous environments

1. Frédéric Fabre
2. Jean‐Baptiste Burie
3. Arnaud Ducrot
4. Sébastien Lion
5. Quentin Richard
6. Ramsès Djidjou‐Demasse

Reviewed by ScreenIT

Antigenic evolution of human influenza H3N2 neuraminidase is constrained by charge balancing

1. Yiquan Wang
2. Ruipeng Lei
3. Armita Nourmohammad
4. Nicholas C Wu

• Curated by eLife

  Evaluation Summary:

  This paper performs a systematic analysis of the fitness landscape of the influenza virus protein neuraminidase (NA). The paper analyzes 864 different combinations of mutations, over six genetic backgrounds. The main findings are that the fitness landscape correlates well across genetic backgrounds, and that natural evolution of neuraminidase seems to select for neutrally charged variants.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1, Reviewer #2 and Reviewer #3 agreed to share their name with the authors.)

Reviewed by eLife

Signatures of adaptive evolution during human to mink SARS CoV2 cross-species transmission inform estimates of the COVID19 pandemic timing

1. Jui-Hung Tai
2. Shu-Miaw Chaw
3. Hsiao-Yu Sun
4. Yi-Cheng Tseng
5. Guanghao Li
6. Sui-Yuan Chang
7. Shiou-Hwei Yeh
8. Pei-Jer Chen
9. Hurng-Yi Wang

Reviewed by ScreenIT

Biomarkers in a socially exchanged fluid reflect colony maturity, behavior, and distributed metabolism

1. Sanja M Hakala
2. Marie-Pierre Meurville
3. Michael Stumpe
4. Adria C LeBoeuf

Reviewed by Review Commons

Adaptive convergent evolution of genome proofreading in SARS-CoV2: insights into the Eigen’s paradox

1. Keerthic Aswin
2. Srinivasan Ramachandran
3. Vivek T Natarajan

Reviewed by ScreenIT

Rapid and parallel adaptive mutations in spike S1 drive clade success in SARS-CoV-2

1. Kathryn E. Kistler
2. John Huddleston
3. Trevor Bedford

Reviewed by ScreenIT

Two levels of selection of rhythmicity in gene expression: energy saving for rhythmic proteins and noise optimization for rhythmic transcripts

1. David Laloum
2. Marc Robinson-Rechavi

Reviewed by Review Commons