Whole genome resequencing dataset of weedy rice variants

Weedy rice (Oryza sativa f. spontanea) is a major problematic weed in rice-growing regions, causing significant yield losses and reducing grain quality. To generate genomic resources that can aid in the understanding and management of this weed, we performed whole genome resequencing (WGRS) of 10 weedy rice variants exhibiting differences in selected phenotypic traits, collected from various rice cultivation areas in Peninsular Malaysia. Genomic DNA from each accession was extracted and sequenced using the Illumina NovaSeq 6000 platform, generating a total of ∼138 Giga base (Gb) of high-quality paired-end reads. The raw reads were processed to remove adapters, low-quality bases, and ambiguous sequences, producing a total of ∼136.9 Gb clean read datasets. The clean reads have been deposited in the European Nucleotide Archive (ENA) under accession number [PRJEB96009]. This dataset provides a valuable genomic resource for future investigations into weedy rice genetics and the development of molecular markers to differentiate weedy rice from cultivated rice varieties. Furthermore, the identified molecular markers, such as single nucleotide polymorphism (SNP), can be screened within genic regions that encode genes related to domestication traits in weedy rice. Additionally, genome-wide analysis of genetic variation in weedy rice provides insights into the molecular mechanisms underlying its evolution.

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Publication Details

Journal
Data in Brief
Published
2025-11-08
DOI
https://doi.org/10.1016/j.dib.2025.112252
Primary Topic
Weed Control and Herbicide Applications
Type
article
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article

Whole genome resequencing dataset of weedy rice variants

Rabiatul‐Adawiah Zainal‐Abidin, Masilamany Dilipkumar, Shahril Ab Razak, Mohd Khairul Amri Kamarudin et al.
Data in Brief
Weed Control and Herbicide Applications
article

Whole genome resequencing dataset of weedy rice variants

Rabiatul‐Adawiah Zainal‐Abidin, Masilamany Dilipkumar, Shahril Ab Razak, Mohd Khairul Amri Kamarudin, Norliza Abu Bakar, Alny Marlynni Abd Majid, Tet Vun Chong
article en

Abstract

Weedy rice (Oryza sativa f. spontanea) is a major problematic weed in rice-growing regions, causing significant yield losses and reducing grain quality. To generate genomic resources that can aid in the understanding and management of this weed, we performed whole genome resequencing (WGRS) of 10 weedy rice variants exhibiting differences in selected phenotypic traits, collected from various rice cultivation areas in Peninsular Malaysia. Genomic DNA from each accession was extracted and sequenced using the Illumina NovaSeq 6000 platform, generating a total of ∼138 Giga base (Gb) of high-quality paired-end reads. The raw reads were processed to remove adapters, low-quality bases, and ambiguous sequences, producing a total of ∼136.9 Gb clean read datasets. The clean reads have been deposited in the European Nucleotide Archive (ENA) under accession number [PRJEB96009]. This dataset provides a valuable genomic resource for future investigations into weedy rice genetics and the development of molecular markers to differentiate weedy rice from cultivated rice varieties. Furthermore, the identified molecular markers, such as single nucleotide polymorphism (SNP), can be screened within genic regions that encode genes related to domestication traits in weedy rice. Additionally, genome-wide analysis of genetic variation in weedy rice provides insights into the molecular mechanisms underlying its evolution.

Data in BriefVol. 63
Malaysian Agricultural Research and Development Institute (MY)
Openalex Percentile: Top 76%
Weed Control and Herbicide Applications
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Whole genome resequencing dataset of weedy rice variants — Rabiatul‐Adawiah Zainal‐Abidin, Masilamany Dilipkumar, et al. · Data in Brief (2025) | TGRS Research Map | TGRS