Evidence map›Paper›PMID 30121954›Full record

ReviewThe New phytologist2019

Opportunities and limitations of reduced representation bisulfite sequencing in plant ecological epigenomics.

Ovidiu Paun, Koen J F Verhoeven, Christina L Richards

Abstract readReview
In one paragraph

Review in The New phytologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  18. Computational challenges in detection of cancer using cell-free DNA methylation.Computational and structural biotechnology journal · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ovidiu PaunDepartment for Botany and Biodiversity Research, University of Vienna, Vienna, 1030, Austria.ORCID 0000-0002-8295-4937
Koen J F VerhoevenNetherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.ORCID 0000-0003-3002-4102
Christina L RichardsDepartment of Integrative Biology, University of South Florida, Tampa, FL, 33620, USA.ORCID 0000-0001-7848-5165

Funding

Austrian Science Fund Y661-B16Austrian Science Fund FWF Y 661Marie Skłodowska-Curie 764965National Science Foundation IOS-1556820
6 · The paper itself

Abstract

Contents Summary 738 I. Introduction 738 II. RRBS loci as genome-wide epigenetic markers 739 III. Exploiting functional annotation of RRBS loci 739 IV. Limitations of RRBS methods for nonmodel species 740 V. Maximising the impact of RRBS in plants 741 VI. Conclusions 741 Acknowledgements 741 SUMMARY: Investigating the features and implications of epigenetic mechanisms across the breadth of organisms and ecosystems is important for understanding the ecological relevance of epigenetics. Several cost-effective reduced representation bisulfite sequencing approaches (RRBS) have been recently developed and applied to different organisms that lack a well annotated reference genome. These new approaches improve the assessment of epigenetic diversity in ecological settings and may provide functional insights. We assess here the opportunities and limitations of RRBS in nonmodel plant species. Well thought out experimental designs that include complementary gene expression studies, and the improvement of genomics resources for the target group, promise to maximize the effect of future RRBS studies.

Indexed as

Ecological and Environmental PhenomenaEpigenomicsMolecular Sequence AnnotationPlantsSequence Analysis, DNASulfiteshydrogen sulfiteSulfitesadaptationbisulfite sequencingbsRADseqDNA methylationecological genomicsepiGBSreduced representation bisulfite sequencing (RRBS)response to environment

Identifiers

PMID30121954
PMCPMC6504643

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.