OKseqHMM: a genome-wide replication fork directionality analysis toolkit

Author:

Liu Yaqun1,Wu Xia1,d’Aubenton-Carafa Yves2,Thermes Claude2,Chen Chun-Long1ORCID

Affiliation:

1. Institut Curie, Université PSL, Sorbonne Université, CNRS UMR3244, Dynamics of Genetic Information , 75005 Paris, France

2. Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC) , 91198 Gif-sur-Yvette, France

Abstract

AbstractDuring each cell division, tens of thousands of DNA replication origins are co-ordinately activated to ensure the complete duplication of the human genome. However, replication fork progression can be challenged by many factors, including co-directional and head-on transcription-replication conflicts (TRC). Head-on TRCs are more dangerous for genome integrity. To study the direction of replication fork movement and TRCs, we developed a bioinformatics toolkit called OKseqHMM (https://github.com/CL-CHEN-Lab/OK-Seq, https://doi.org/10.5281/zenodo.7428883). Then, we used OKseqHMM to analyse a large number of datasets obtained by Okazaki fragment sequencing to directly measure the genome-wide replication fork directionality (RFD) and to accurately predict replication initiation and termination at a fine resolution in organisms including yeast, mouse and human. We also successfully applied our analysis to other genome-wide sequencing techniques that also contain RFD information (e.g. eSPAN, TrAEL-seq). Our toolkit can be used to predict replication initiation and fork progression direction genome-wide in a wide range of cell models and growth conditions. Comparing the replication and transcription directions allows identifying loci at risk of TRCs, particularly head-on TRCs, and investigating their role in genome instability by checking DNA damage data, which is of prime importance for human health.

Funder

YPI program of I. Curie

Centre national de la recherche scientifique

Agence Nationale pour la Recherche

Institut National du Cancer

Publisher

Oxford University Press (OUP)

Subject

Genetics

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