Re-calibration of flow cytometry standards for plant genome size estimation

Flow cytometry (FCM) and genome sequencing are complementary methods for estimating plant genome size (GS). However, discrepancies between the GS estimates derived from genome assemblies and FCM create ambiguity regarding the accuracy of these approaches. Approximately 12,000 plant GS measurements have been reported, with hardly any of them based on genome assemblies. Currently, FCM is the most frequently used method. Accurate GS estimation by FCM relies on internal standards with known GS values. However, previous GS calibrations, often based on incomplete reference genome assemblies, have led to significant discrepancies in GS estimates. Historically, the GS of a diploid plant species was estimated by doubling the size of a consensus genome assembly. However, consensus assemblies collapse homologous chromosomes into a single sequence, typically favouring the larger haplotype and potentially overestimating GS, especially in highly heterozygous species. Here, we applied haplotype-resolved genome assemblies to accurately recalibrate the reference standards. We utilized a recent gapless, telomere-to-telomere (T2T) consensus and the most complete phased genome assemblies of the Nipponbare rice as a primary standard to recalibrate five commonly used plant standards. Using the consensus genome as a reference revealed an overestimation of over 30% in widely used previous GS estimates for <i>Pisum sativum</i> and <i>Nicotiana benthamiana</i>, approximately 18% for <i>Arabidopsis thaliana</i>, and 5% for <i>Sorghum bicolor</i> and <i>Gossypium hirsutum</i>. The GS estimates based on phased haplotype assemblies suggested an additional 6%-7% overestimation. Haplotype-resolved genome assemblies allow the recalibration of GS estimates with the potential to yield more accurate values by capturing haplotype-specific variations previously missed in consensus assemblies.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2025-10-13
DOI
https://doi.org/10.3389/fpls.2025.1548766
Citations
2
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
3.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Re-calibration of flow cytometry standards for plant genome size estimation

Robert James Henry, Abhishek Soni
2 citations
Frontiers in Plant Science
Chromosomal and Genetic Variations
3.50
article

Re-calibration of flow cytometry standards for plant genome size estimation

Robert James Henry, Abhishek Soni
article en
2 citations

Abstract

Flow cytometry (FCM) and genome sequencing are complementary methods for estimating plant genome size (GS). However, discrepancies between the GS estimates derived from genome assemblies and FCM create ambiguity regarding the accuracy of these approaches. Approximately 12,000 plant GS measurements have been reported, with hardly any of them based on genome assemblies. Currently, FCM is the most frequently used method. Accurate GS estimation by FCM relies on internal standards with known GS values. However, previous GS calibrations, often based on incomplete reference genome assemblies, have led to significant discrepancies in GS estimates. Historically, the GS of a diploid plant species was estimated by doubling the size of a consensus genome assembly. However, consensus assemblies collapse homologous chromosomes into a single sequence, typically favouring the larger haplotype and potentially overestimating GS, especially in highly heterozygous species. Here, we applied haplotype-resolved genome assemblies to accurately recalibrate the reference standards. We utilized a recent gapless, telomere-to-telomere (T2T) consensus and the most complete phased genome assemblies of the Nipponbare rice as a primary standard to recalibrate five commonly used plant standards. Using the consensus genome as a reference revealed an overestimation of over 30% in widely used previous GS estimates for <i>Pisum sativum</i> and <i>Nicotiana benthamiana</i>, approximately 18% for <i>Arabidopsis thaliana</i>, and 5% for <i>Sorghum bicolor</i> and <i>Gossypium hirsutum</i>. The GS estimates based on phased haplotype assemblies suggested an additional 6%-7% overestimation. Haplotype-resolved genome assemblies allow the recalibration of GS estimates with the potential to yield more accurate values by capturing haplotype-specific variations previously missed in consensus assemblies.

Frontiers in Plant ScienceVol. 16
The University of Queensland (AU), ARC Centre of Excellence for Plant Success in Nature and Agriculture (AU)
Openalex Percentile: Top 7%
Chromosomal and Genetic Variations
3.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.