Walnut husk transcriptome dataset of codling moth (Cydia pomonella) infestation at different times

Walnuts, along with almonds, cashews, and hazelnuts, are renowned as the world's "four famous nuts," with walnuts being the foremost among them. Walnut fruit is rich in nutrients, including proteins, fats, polyphenols, sugars, phospholipids, melatonin, sterols, flavonoids, iron, zinc, manganese, and other trace elements, as well as dietary fiber. However, the codling moth poses a significant threat to walnut fruits as a major pest. Despite its importance, the transcriptomic changes in walnut husk at different times of codling moth infestation have not been fully explored. In this study, we employed the Illumina NovaSeq 6000 platform to sequence the transcriptome of walnut husk at various time points (0, 12, 24, 36, 48, and 72 hours) after codling moth infestation. The RNA-seq libraries yielded between 41,402,492 and 48,358,932 clean reads, resulting in a total of 120.34 Gb of clean data after filtering out low-quality reads. In total, 936 million reads were generated, with approximately 90% aligning uniquely to the reference genome. Differential expression analysis revealed the number of differentially expressed genes (DEGs) at each time point, including 21 genes associated with plant hormone synthesis. The results of this study provide new insights into the transcriptional changes in walnut husk induced by codling moth infestation and lay a foundation for future research on walnut husk defense mechanisms. The raw FASTQ files from this transcriptome experiment are publicly available in the NCBI Sequence Read Archive (SRA) under the BioProject accession number PRJNA1140835.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2025-02-06
DOI
https://doi.org/10.1016/j.dib.2025.111366
Citations
1
Primary Topic
Plant and Fungal Interactions Research
Type
article
Field-Weighted Citation Impact
1.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Walnut husk transcriptome dataset of codling moth (Cydia pomonella) infestation at different times

Xiaoyan Cao, Xiaoqin Ye, Adil Sattar
1 citations
Data in Brief
Plant and Fungal Interactions Research
1.80
article

Walnut husk transcriptome dataset of codling moth (Cydia pomonella) infestation at different times

Xiaoyan Cao, Xiaoqin Ye, Adil Sattar
article en
1 citations

Abstract

Walnuts, along with almonds, cashews, and hazelnuts, are renowned as the world's "four famous nuts," with walnuts being the foremost among them. Walnut fruit is rich in nutrients, including proteins, fats, polyphenols, sugars, phospholipids, melatonin, sterols, flavonoids, iron, zinc, manganese, and other trace elements, as well as dietary fiber. However, the codling moth poses a significant threat to walnut fruits as a major pest. Despite its importance, the transcriptomic changes in walnut husk at different times of codling moth infestation have not been fully explored. In this study, we employed the Illumina NovaSeq 6000 platform to sequence the transcriptome of walnut husk at various time points (0, 12, 24, 36, 48, and 72 hours) after codling moth infestation. The RNA-seq libraries yielded between 41,402,492 and 48,358,932 clean reads, resulting in a total of 120.34 Gb of clean data after filtering out low-quality reads. In total, 936 million reads were generated, with approximately 90% aligning uniquely to the reference genome. Differential expression analysis revealed the number of differentially expressed genes (DEGs) at each time point, including 21 genes associated with plant hormone synthesis. The results of this study provide new insights into the transcriptional changes in walnut husk induced by codling moth infestation and lay a foundation for future research on walnut husk defense mechanisms. The raw FASTQ files from this transcriptome experiment are publicly available in the NCBI Sequence Read Archive (SRA) under the BioProject accession number PRJNA1140835.

Data in BriefVol. 59
Xinjiang Agricultural University (CN)
Science and Technology Department of Xinjiang Uygur Autonomous Region
Zero hunger
Openalex Percentile: Top 21%
Plant and Fungal Interactions Research
1.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.