Evolutionary Biology

Analysis of the mutation dynamics of SARS-CoV-2 reveals the spread history and emergence of RBD mutant with lower ACE2 binding affinity

1. Yong Jia
2. Gangxu Shen
3. Stephanie Nguyen
4. Yujuan Zhang
5. Keng-Shiang Huang
6. Hsing-Ying Ho
7. Wei-Shio Hor
8. Chih-Hui Yang
9. John B Bruning
10. Chengdao Li
11. Wei-Lung Wang

Reviewed by ScreenIT

Positive selection of ORF3a and ORF8 genes drives the evolution of SARS-CoV-2 during the 2020 COVID-19 pandemic

1. Lauro Velazquez-Salinas
2. Selene Zarate
3. Samantha Eberl
4. Douglas P. Gladue
5. Isabel Novella
6. Manuel V. Borca

Reviewed by ScreenIT

A snapshot of SARS-CoV-2 genome availability up to 30 ^th March, 2020 and its implications

1. Carla Mavian
2. Simone Marini
3. Mattia Prosperi
4. Marco Salemi

Reviewed by ScreenIT

Recombination and purifying selection preserves covariant movements of mosaic SARS-CoV-2 protein S

1. Massimiliano S. Tagliamonte
2. Nabil Abid
3. David A. Ostrov
4. Giovanni Chillemi
5. Sergei L. Kosakovsky Pond
6. Marco Salemi
7. Carla Mavian

Reviewed by ScreenIT

Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic

1. Maciej F. Boni
2. Philippe Lemey
3. Xiaowei Jiang
4. Tommy Tsan-Yuk Lam
5. Blair W. Perry
6. Todd A. Castoe
7. Andrew Rambaut
8. David L. Robertson

Reviewed by ScreenIT

Genome-wide data inferring the evolution and population demography of the novel pneumonia coronavirus (SARS-CoV-2)

1. Bin Fang
2. Linlin Liu
3. Xiao Yu
4. Xiang Li
5. Guojun Ye
6. Juan Xu
7. Ling Zhang
8. Faxian Zhan
9. Guiming Liu
10. Tao Pan
11. Yilin Shu
12. Yongzhong Jiang

Reviewed by ScreenIT

Partial RdRp sequences offer a robust method for Coronavirus subgenus classification

1. David A Wilkinson
2. Lea Joffrin
3. Camille Lebarbenchon
4. Patrick Mavingui

Reviewed by ScreenIT

Multivariate Analyses of Codon Usage of SARS-CoV-2 and other betacoronaviruses

1. Haogao Gu
2. Daniel Chu
3. Malik Peiris
4. Leo L.M. Poon

Reviewed by ScreenIT

Coronary artery established through amniote evolution

1. Kaoru Mizukami
2. Hiroki Higashiyama
3. Yuichiro Arima
4. Koji Ando
5. Norihiro Okada
6. Katsumi Kose
7. Shigehito Yamada
8. Jun K Takeuchi
9. Kazuko Koshiba-Takeuchi
10. Shigetomo Fukuhara
11. Sachiko Miyagawa-Tomita
12. Hiroki Kurihara

• Curated by eLife

  eLife assessment

  Mizukami et al. propose a scenario for the evolutionary origin of the coronary artery in amniotes by comparing the morphologies of the vasculatures across several species and developmental timepoints. They show that the coronary arteries of non-amniotes most closely resemble embryonic amniote aortic subepicardial vessels (ASVs), which are replaced by the true coronary arteries during amniote development. While the identification of common vascular structures in diverse taxa is a valuable contribution, additional developmental evidence is needed to confirm that such vessels are truly homologous.

Reviewed by eLife

A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations

1. Ruth Charlotte Eccleston
2. Emilia Manko
3. Susana Campino
4. Taane G Clark
5. Nicholas Furnham

• Curated by eLife

  eLife assessment

  This report is a useful demonstration of how to predict the mutational pathways to antimicrobial resistance (AMR) emergence, particularly in the enzyme DHFR (dihydrofolate reductase). The methodology is overall solid but some of the claims are only partially supported. The work will be of interest to microbiologists and evolutionary biologists interested in antimicrobial resistance and its population genetics dynamic.

Reviewed by eLife