Author
H. Merrikh
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
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2016-2023 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 14 mutual co-author links8 papers
Recent·Most cited
A small molecule that inhibits the evolution of antibiotic resistance
A. E. Johnson, H. Bracey, A. J. H. Viera, J. Carvajal-Garcia, E. N. Simsek, K. Kim, H. Merrikh
This paper identifies a small molecule, ARM-1, that inhibits bacterial evolution by targeting Mfd, delaying AMR development across multiple pathogens.
bioRxiv · Sep 26, 2022 · PreprintMicrobiology
The high-resolution in vivo measurement of replication fork velocity and pausing by lag-time analysis
D. Huang, A. E. Johnson, B. S. Sim, T. Lo, H. Merrikh, P. A. Wiggins
This paper introduces lag-time analysis to measure replication fork velocity and pausing in vivo, finding locus- and time-dependent dynamics and novel pauses at rDNA.
bioRxiv · Aug 13, 2022 · PreprintBiophysics
Characterizing stochastic cell cycle dynamics in exponential growth
D. Huang, T. Lo, H. Merrikh, P. A. Wiggins
The paper establishes an exact correspondence between deterministic and stochastic cell cycle models, showing deterministic models can well-fit exponential culture demographics even with stochastic state timing.
bioRxiv · Aug 24, 2021Biophysics
Lagging strand encoding promotes adaptive evolution
C. Merrikh, L. Harris, S. Mangiameli, H. Merrikh
The paper investigates whether lagging strand genes evolve faster due to replication-transcription conflicts and finds convergent mutations are enriched in these genes, suggesting adaptive evolution.
bioRxiv · Jun 23, 2020 · PreprintEvolutionary Biology
Response to No support for the adaptive hypothesis of lagging-9 strand encoding in bacterial genomes
The paper responds to criticism of their adaptive hypothesis of lagging-strand gene orientation by providing empirical evidence supporting their original findings and introducing an improved GC skew method.
bioRxiv · May 26, 2020 · PreprintEvolutionary Biology
The replisomes remain spatially proximal throughout the cell cycle in bacteria
S. M. Mangiameli, B. T. Veit, H. Merrikh, P. A. Wiggins
This paper uses time-lapse imaging to show that replication forks remain spatially close in two bacterial species, supporting the Factory Model over the Track Model.
bioRxiv · Dec 30, 2016Cell Biology