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ArticleScientific data2026

High-resolution single-nematode transcriptomic datasets of plant-parasitic nematodes from juveniles to adults.

Xuemeng Han, Yuchun Yang, Feifan Wang, Yucheng Liao, Xueyu Wang, Zhiqing Guo, Dexin Bo, Dadong Dai, Jinshui Zheng, Donghai Peng and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Xuemeng Han *National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Yuchun Yang *National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Feifan WangNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Yucheng LiaoNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Xueyu WangNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Zhiqing GuoNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Dexin BoNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Dadong DaiNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Jinshui ZhengNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.ORCID http://orcid.org/0000-0002-0147-5900
Donghai PengNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.ORCID http://orcid.org/0000-0002-4918-2357
Ming SunNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China. m98sun@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0001-5465-5983

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32361143789National Natural Science Foundation of China (National Science Foundation of China) U20A2040
6 · The paper itself

Abstract

Plant-parasitic nematodes (PPNs) pose major agricultural threats, yet their transcriptional regulatory mechanisms remain poorly understood. Deciphering these mechanisms is critical for advancing knowledge of nematode development and host interactions, and for guiding the rational design of integrated control strategies. However, the lack of reliable synchronization of nematode development within plant hosts, together with the stringent requirements of high-throughput sequencing library preparation, hinders comprehensive transcriptomic profiling across distinct developmental stages. To overcome this limitation, high-resolution, single-nematode RNA-seq data was generated for eight developmental stages of Meloidogyne incognita (from second-stage juveniles to adults) using a low-input Smart-seq2 approach. The resulting dataset comprises 75 high-quality transcriptome libraries with at least five biological replicates per stage, enabling robust and reproducible analyses. This resource lays the groundwork for the discovery of stage-specific regulatory genes and the development of targeted PPN management strategies. All datasets are openly accessible via the NCBI repository (accession number: SRP620254 and GSE315311), providing a lasting, community-wide resource for advancing plant-parasitic nematode research.

Indexed as

NematodaPlantsTranscriptomeTylenchoideaAnimalsGene Expression Profiling

Identifiers

PMID41526400
PMCPMC12916808

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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.