Chromatin structure can introduce systematic biases in genome-wide analyses of Plasmodium falciparum [version 2; peer review: 2 approved]

Background: The maintenance, regulation, and dynamics of heterochromatin in the human malaria parasite, Plasmodium falciparum, has drawn increasing attention due to its regulatory role in mutually exclusive virulence gene expression and the silencing of key developmental regulators. The advent of ge...

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Main Authors: Jessica Bryant, Sebastian Baumgarten
Format: Article
Language:English
Published: F1000 Research Ltd 2022-09-01
Series:Open Research Europe
Subjects:
Online Access:https://open-research-europe.ec.europa.eu/articles/2-75/v2
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author Jessica Bryant
Sebastian Baumgarten
author_facet Jessica Bryant
Sebastian Baumgarten
author_sort Jessica Bryant
collection DOAJ
description Background: The maintenance, regulation, and dynamics of heterochromatin in the human malaria parasite, Plasmodium falciparum, has drawn increasing attention due to its regulatory role in mutually exclusive virulence gene expression and the silencing of key developmental regulators. The advent of genome-wide analyses such as chromatin-immunoprecipitation followed by sequencing (ChIP-seq) has been instrumental in understanding chromatin composition; however, even in model organisms, ChIP-seq experiments are susceptible to intrinsic experimental biases arising from underlying chromatin structure. Methods: We performed a control ChIP-seq experiment, re-analyzed previously published ChIP-seq datasets and compared different analysis approaches to characterize biases of genome-wide analyses in P. falciparum. Results: We found that heterochromatic regions in input control samples used for ChIP-seq normalization are systematically underrepresented in regard to sequencing coverage across the P. falciparum genome. This underrepresentation, in combination with a non-specific or inefficient immunoprecipitation, can lead to the identification of false enrichment and peaks across these regions. We observed that such biases can also be seen at background levels in specific and efficient ChIP-seq experiments. We further report on how different read mapping approaches can also skew sequencing coverage within highly similar subtelomeric regions and virulence gene families. To ameliorate these issues, we discuss orthogonal methods that can be used to characterize bona fide chromatin-associated proteins. Conclusions: Our results highlight the impact of chromatin structure on genome-wide analyses in the parasite and the need for caution when characterizing chromatin-associated proteins and features.
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spelling doaj.art-77379df236524cb4918cd99dcbcaf84c2022-12-22T03:54:50ZengF1000 Research LtdOpen Research Europe2732-51212022-09-01216303Chromatin structure can introduce systematic biases in genome-wide analyses of Plasmodium falciparum [version 2; peer review: 2 approved]Jessica Bryant0Sebastian Baumgarten1https://orcid.org/0000-0003-2646-7699Biology of Host-Parasite Interactions Unit, Pasteur Institute, Paris, Paris, 75015, FrancePlasmodium RNA Biology Group, Pasteur Institute, Paris, Paris, 75015, FranceBackground: The maintenance, regulation, and dynamics of heterochromatin in the human malaria parasite, Plasmodium falciparum, has drawn increasing attention due to its regulatory role in mutually exclusive virulence gene expression and the silencing of key developmental regulators. The advent of genome-wide analyses such as chromatin-immunoprecipitation followed by sequencing (ChIP-seq) has been instrumental in understanding chromatin composition; however, even in model organisms, ChIP-seq experiments are susceptible to intrinsic experimental biases arising from underlying chromatin structure. Methods: We performed a control ChIP-seq experiment, re-analyzed previously published ChIP-seq datasets and compared different analysis approaches to characterize biases of genome-wide analyses in P. falciparum. Results: We found that heterochromatic regions in input control samples used for ChIP-seq normalization are systematically underrepresented in regard to sequencing coverage across the P. falciparum genome. This underrepresentation, in combination with a non-specific or inefficient immunoprecipitation, can lead to the identification of false enrichment and peaks across these regions. We observed that such biases can also be seen at background levels in specific and efficient ChIP-seq experiments. We further report on how different read mapping approaches can also skew sequencing coverage within highly similar subtelomeric regions and virulence gene families. To ameliorate these issues, we discuss orthogonal methods that can be used to characterize bona fide chromatin-associated proteins. Conclusions: Our results highlight the impact of chromatin structure on genome-wide analyses in the parasite and the need for caution when characterizing chromatin-associated proteins and features.https://open-research-europe.ec.europa.eu/articles/2-75/v2Chromatin structure ChIP-seq Plasmodium falciparum read alignmenteng
spellingShingle Jessica Bryant
Sebastian Baumgarten
Chromatin structure can introduce systematic biases in genome-wide analyses of Plasmodium falciparum [version 2; peer review: 2 approved]
Open Research Europe
Chromatin structure
ChIP-seq
Plasmodium falciparum
read alignment
eng
title Chromatin structure can introduce systematic biases in genome-wide analyses of Plasmodium falciparum [version 2; peer review: 2 approved]
title_full Chromatin structure can introduce systematic biases in genome-wide analyses of Plasmodium falciparum [version 2; peer review: 2 approved]
title_fullStr Chromatin structure can introduce systematic biases in genome-wide analyses of Plasmodium falciparum [version 2; peer review: 2 approved]
title_full_unstemmed Chromatin structure can introduce systematic biases in genome-wide analyses of Plasmodium falciparum [version 2; peer review: 2 approved]
title_short Chromatin structure can introduce systematic biases in genome-wide analyses of Plasmodium falciparum [version 2; peer review: 2 approved]
title_sort chromatin structure can introduce systematic biases in genome wide analyses of plasmodium falciparum version 2 peer review 2 approved
topic Chromatin structure
ChIP-seq
Plasmodium falciparum
read alignment
eng
url https://open-research-europe.ec.europa.eu/articles/2-75/v2
work_keys_str_mv AT jessicabryant chromatinstructurecanintroducesystematicbiasesingenomewideanalysesofplasmodiumfalciparumversion2peerreview2approved
AT sebastianbaumgarten chromatinstructurecanintroducesystematicbiasesingenomewideanalysesofplasmodiumfalciparumversion2peerreview2approved