Evidence map›Paper›PMID 41642519›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

The Application of RenSeq for Pan-NLRome Analysis.

Yujing Wu, Jonathan D G Jones, Xiao Lin

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yujing WuDepartment of Agri-microbiomics and Biotechnology, State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Jonathan D G JonesThe Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich, UK.
Xiao LinDepartment of Agri-microbiomics and Biotechnology, State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. linx@im.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance gene enrichment sequencing (RenSeq) was developed in 2013. It has accelerated the cloning of plant NLR genes and has contributed to resistance breeding for multiple crop plants, such as potato, wheat, and rice. By combining with other strategies, many applications were developed, such as cDNA-RenSeq, dRenSeq, SMRT-RenSeq, RLP/KSeq, AgRenSeq, and MutRenSeq. These methods have been widely applied in different crops. In this protocol, we present a step-by-step guide for applying RenSeq in gene cloning and Pan-NLRome analysis. The protocol covers bait design, library preparation, target enrichment, and downstream bioinformatic analysis. This methodology can make RenSeq more accessible to researchers working with different crops and enhance our understanding of plant resistance genes in the age of pan-genome.

Indexed as

Disease ResistanceHigh-Throughput Nucleotide SequencingPlant DiseasesCloning, MolecularComputational BiologyGene LibraryGenes, PlantGenome, PlantSequence Analysis, DNANLR genesPan-NLRomeRenSeqTarget enrichment sequencing

Identifiers

PMID41642519

What OpenQuestion holds

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Registered trials

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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.