Evidence map›Paper›PMID 41163131›Full record

ArticleBMC biology2025

A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping.

Peng Chen, Bipei Zhang, Sheng Zhao, Zhenghang Zhu, Yiming Yan, Haotian Chen, Hong Lu, Yong Xiang, Yongquan Li, Yuxiao Chang

Abstract read
In one paragraph

Article in BMC biology, 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. Review
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

10 authors.

Peng Chen *Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Bipei Zhang *College of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Sheng ZhaoGuangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Zhenghang ZhuGuangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Yiming YanGuangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Haotian ChenGuangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Hong LuGuangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Yong XiangGuangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Yongquan LiCollege of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China. yongquanli@zhku.edu.cn.
Yuxiao ChangGuangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China. changyuxiao@caas.cn.

Funding

Biological Breeding-National Science and Technology Major Project 2023ZD0406107R&D program in key areas of Guangdong Province 2021B0707010006R&D program of Shenzhen KCXFZ20211020164207012
6 · The paper itself

Abstract

backgroundReduced representation sequencing (RRS) using Restriction site-associated DNA sequencing (RAD-seq) has become a widely adopted method for whole-genome genotyping, owing to its cost-effectiveness and applicability across species. However, traditional RAD-seq approaches face challenges, including complex workflows and high labor demands. Existing RAD-seq methods rely primarily on the strategy of "selecting fragments first, then preparing a library," which involves targeting fragments associated with restriction enzyme cut sites.

resultsIn contrast, we developed inverse RAD-seq (iRAD-seq), a novel method that employs a "prepare library first, then select" strategy to efficiently capture fragments not associated with restriction sites for whole-genome genotyping. This innovative approach utilizes Tn5 transposase to simultaneously fragment DNA and ligate adapters, followed by pooled processing of hundreds of libraries for batch restriction digestion, thereby significantly streamlining RAD-seq library preparation. This simplified workflow makes iRAD-seq highly compatible with liquid handling automation, enhancing its throughput. We validated iRAD-seq through both in silico analyses and wet-lab experiments in maize and rice. The results demonstrate that iRAD-seq provides consistent genome-wide Single-Nucleotide Polymorphism (SNP) distributions. In maize germplasm, iRAD-seq successfully enables effective genetic diversity analysis. Furthermore, genetic mapping of maize populations has confirmed its utility for identifying quantitative trait loci (QTL).

conclusionsOur findings suggest that iRAD-seq offers a more streamlined, efficient, and flexible approach to genotyping and marker development than traditional RAD-seq methods. Owing to its potential for high-throughput applications and cost reductions, iRAD-seq is a valuable tool for genomic research and molecular breeding.

Indexed as

Genome, PlantGenotyping TechniquesOryzaSequence Analysis, DNAWhole Genome SequencingZea maysGenotypePolymorphism, Single NucleotideMolecular breedingReduced representation sequencingRestriction site-associated DNA sequencingTn5Whole-genome genotyping

Identifiers

PMID41163131
PMCPMC12573827

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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.