Genome resequencing and genome‐wide polymorphisms in Chinese population of <i>Phyllotreta striolata</i> (Coleoptera, Chrysomelidae)

Abstract The striped flea beetle, Phyllotreta striolata , is a globally notorious pest of cruciferous vegetables. In this study, we sequenced the genome of a Chinese population of P . striolata and aligned it with the reference genome from a Canadian population. Through Illumina sequencing and reference‐based genome polishing, we obtained a high‐quality genome of 131.31 Mb with an N50 size of 8.68 Mb. Genome comparison revealed that the Chinese and Canadian populations of P . striolata presented 175 and 122 population‐specific genes, respectively. Through a genome‐wide screening, six genes were identified as potential RNA interference targets influencing the development or survival of P . striolata . Additionally, we identified 1.16 million high‐confidence variants in the Chinese P . striolata population, including 0.69 million single‐nucleotide polymorphisms and 0.43 million insertions/deletions. Variant effect analysis and functional annotation revealed 7571 variants with high‐impact effects, and the related genes were involved in various basic biological processes in P . striolata . Overall, our findings provide valuable resources for advancing genomic research on P . striolata as well as for those pursuing targeted biopesticides for effective control strategies.

Authors

Institutions

Publication Details

Journal
New plant protection.
Published
2025-09-01
DOI
https://doi.org/10.1002/npp2.70019
Primary Topic
Insect Resistance and Genetics
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Genome resequencing and genome‐wide polymorphisms in Chinese population of Phyllotreta striolata (Coleoptera, Chrysomelidae)

Changlong Shu, Beibei Cao, Kui Wang, Jie Zhang
New plant protection.
Insect Resistance and Genetics
article

Genome resequencing and genome‐wide polymorphisms in Chinese population of Phyllotreta striolata (Coleoptera, Chrysomelidae)

Changlong Shu, Beibei Cao, Kui Wang, Jie Zhang
article en

Abstract

Abstract The striped flea beetle, Phyllotreta striolata , is a globally notorious pest of cruciferous vegetables. In this study, we sequenced the genome of a Chinese population of P . striolata and aligned it with the reference genome from a Canadian population. Through Illumina sequencing and reference‐based genome polishing, we obtained a high‐quality genome of 131.31 Mb with an N50 size of 8.68 Mb. Genome comparison revealed that the Chinese and Canadian populations of P . striolata presented 175 and 122 population‐specific genes, respectively. Through a genome‐wide screening, six genes were identified as potential RNA interference targets influencing the development or survival of P . striolata . Additionally, we identified 1.16 million high‐confidence variants in the Chinese P . striolata population, including 0.69 million single‐nucleotide polymorphisms and 0.43 million insertions/deletions. Variant effect analysis and functional annotation revealed 7571 variants with high‐impact effects, and the related genes were involved in various basic biological processes in P . striolata . Overall, our findings provide valuable resources for advancing genomic research on P . striolata as well as for those pursuing targeted biopesticides for effective control strategies.

New plant protection.Vol. 2(3)
Anhui Agricultural University (CN), Institute of Plant Protection (CN), Chinese Academy of Agricultural Sciences (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 79%
Insect Resistance and Genetics
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.