Evidence map›Paper›PMID 40557963›Full record

ArticlePlant physiology2025

Digital PCR enables direct root biomass quantification and species profiling in soil samples.

Nurbanu Shynggyskyzy, Claus Krogh Madsen, Per L Gregersen, Jim Rasmussen, Uffe Jørgensen, Henrik Brinch-Pedersen

Abstract read
In one paragraph

Article in Plant physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Nurbanu ShynggyskyzyAarhus University, Department of Agroecology, Research Centre Flakkebjerg, Slagelse DK-4200, Denmark.ORCID 0009-0008-7217-3759
Claus Krogh MadsenAarhus University, Department of Agroecology, Research Centre Flakkebjerg, Slagelse DK-4200, Denmark.ORCID 0000-0002-8921-3920
Per L GregersenAarhus University, Department of Agroecology, Research Centre Flakkebjerg, Slagelse DK-4200, Denmark.ORCID 0000-0001-8243-0976
Jim RasmussenAarhus University, Department of Agroecology, Campus Viborg, Tjele DK-8830, Denmark.ORCID 0000-0001-6537-2540
Uffe JørgensenAarhus University, Department of Agroecology, Campus Viborg, Tjele DK-8830, Denmark.ORCID 0000-0002-5930-3124
Henrik Brinch-PedersenAarhus University, Department of Agroecology, Research Centre Flakkebjerg, Slagelse DK-4200, Denmark.ORCID 0000-0002-9773-8903

Funding

Innovation Fund Denmark project GrassTools 0224-00091B
6 · The paper itself

Abstract

Roots support plant growth and resilience and are a major route for carbon sequestration. Thus, the study of roots in agricultural and natural systems is essential to develop strategies to mitigate and adjust to climate change. Methods to quantify root biomass in mono- and mixed crop systems are therefore in high demand. A promising approach is to exploit the correlation between root biomass and nuclear DNA. The use of qPCR for the quantitative analysis of root samples has been reported. Here, we show how digital PCR can be used to quantify root DNA from soil samples harboring single species or species mixtures. This molecular method has several advantages over more time-consuming methods, including enhanced sensitivity and absolute quantification of target DNA, increased accuracy and reliability, and the ability to quantify roots directly from soil in different species mixtures. We developed a DNA-based digital droplet PCR (ddPCR) method for root species profiling and biomass quantification directly from soil samples under semi-field conditions. Our findings suggest that implementing this ddPCR method can substantially simplify and improve root quantification of specific species, even in crop mixtures. This method offers a more time- and labor-efficient alternative to traditional techniques (e.g. root separation or C13 labeling). The complement of primer-probe sets presented here can be continuously expanded to include additional plant species, thus broadening the scope of this DNA-based ddPCR method.

Indexed as

BiomassPlant RootsPolymerase Chain ReactionSoilDNA, PlantDNA, PlantSoil

Identifiers

PMID40557963
PMCPMC12342562

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.