Evidence map›Paper›PMID 40108780›Full record

ArticlePlant biotechnology journal2025

Non-destructive seed genotyping via microneedle-based DNA extraction.

Mingzhuo Li, Aditi Dey Poonam, Qirui Cui, Tzungfu Hsieh, Sumeetha Jagadeesan, Jin Xu, Wesley B Bruce, Jonathan T Vogel, Allen Sessions, Antonio Cabrera and 4 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

14 authors.

Mingzhuo LiDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Aditi Dey PoonamDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Qirui CuiDepartment of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, USA.
Tzungfu HsiehDepartment of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, USA.
Sumeetha JagadeesanDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Jin XuDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Wesley B BruceBASF Corporation, Durham, NC, USA.
Jonathan T VogelBASF Corporation, Durham, NC, USA.
Allen SessionsBASF Corporation, Durham, NC, USA.
Antonio CabreraBASF Corporation, Durham, NC, USA.
Amanda C SavilleDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.
Jean B RistainoDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0002-9458-0514
Rajesh PaulDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Qingshan WeiDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0003-1214-010X

Funding

BASF
6 · The paper itself

Abstract

Crop breeding plays an essential role in addressing food security by enhancing crop yield, disease resistance and nutritional value. However, the current crop breeding process faces multiple challenges and limitations, especially in genotypic evaluations. Traditional methods for seed genotyping remain labour-intensive, time-consuming and cost-prohibitive outside of large-scale breeding programs. Here, we present a handheld microneedle (MN)-based seed DNA extraction platform for rapid, non-destructive and in-field DNA isolation from crop seeds for instant marker analysis. Using soybean seeds as a case study, we demonstrated the use of polyvinyl alcohol (PVA) MN patches for the successful extraction of DNA from softened soybean seeds. This extraction technology maintained high seed viability, showing germination rates of 82% and 79%, respectively, before and after MN sampling. The quality of MN-extracted DNA was sufficient for various genomic analyses, including PCR, LAMP and whole-genome sequencing. Importantly, this MN patch method also allowed for the identification of specific genetic differences between soybean varieties. Additionally, we designed a 3D-printed extraction device, which enabled multiplexed seed DNA extraction in a microplate format. In the future, this method could be applied at scale and in-field for crop seed DNA extraction and genotyping analysis.

Indexed as

DNA, PlantGenotyping TechniquesGlycine maxSeedsGenotypeNeedlesDNA, PlantbreedingDNA extractionmicroneedleseed genotypingsequencing

Identifiers

PMID40108780
PMCPMC12120874

What OpenQuestion holds

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LicenceCC BY-NC
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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.