2020
DOI: 10.1016/j.csbj.2020.09.031
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BnaSNPDB: An interactive web portal for the efficient retrieval and analysis of SNPs among 1,007 rapeseed accessions

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Cited by 18 publications
(6 citation statements)
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“…GWAS is a commonly used method for identifying candidate genes associated with specific agronomic traits. Recent advancements in sequencing technology have significantly enhanced the efficiency of GWAS by providing a vast number of SNPs (Yan et al., 2020; Yang, He, et al., 2022; Yang, Liang, et al., 2022). Utilizing this technology to find associated genes comes with certain limitations, such as the requirement for a diverse genetic background in the population and significant variations in petal size across individuals.…”
Section: Discussionmentioning
confidence: 99%
“…GWAS is a commonly used method for identifying candidate genes associated with specific agronomic traits. Recent advancements in sequencing technology have significantly enhanced the efficiency of GWAS by providing a vast number of SNPs (Yan et al., 2020; Yang, He, et al., 2022; Yang, Liang, et al., 2022). Utilizing this technology to find associated genes comes with certain limitations, such as the requirement for a diverse genetic background in the population and significant variations in petal size across individuals.…”
Section: Discussionmentioning
confidence: 99%
“…First, abundant genomic information is available for Brassica and Brassicaceae germplasm, including high‐quality reference genomes (Table S2 ), organelle genomes (Mohd Saad et al ., 2021 ), pangenomes (Golicz et al ., 2016 ; Hurgobin et al ., 2018 ; Song et al ., 2020 ), gene annotations, transcriptomes, and high‐throughput genotypes for thousands of cultivars and breeding lines that have been identified by SNP chips and sequencing approaches (An et al ., 2019 ; Cheng et al ., 2016 ; Lu et al ., 2019 ; Schmutzer et al ., 2015 ; Wu et al ., 2018 ; Zhang et al ., 2017c ). These data were stored in public platforms for sharing and remaining including the Brassica Database ( http://39.100.233.196 ), the Brassica napus Genome Browser ( https://wwwdev.genoscope.cns.fr/brassicanapus/ ) (Chalhoub et al ., 2014 ), BnPedigome ( http://ibi.zju.edu.cn/bnpedigome/index.php ) (Zou et al ., 2019 ), BnaSNPDB ( http://rapeed.zju.edu.cn:3838/bnasnpdb ) (Yan et al ., 2020 ), and BnPIR ( http://cbi.hzau.edu.cn/bnapus/ ) (Song et al ., 2021b ). High‐throughput genotyping by whole‐genome sequencing, target segment sequencing and SNP‐chip array is ongoing for Brassica germplasm, and these data resources and genotyping techniques are becoming increasingly inexpensive and convenient for exploring Brassica pangenomic variation, and especially for identifying and introducing favourable genes and alleles into the B. napus gene pool.…”
Section: Challenges and Approaches For Further Exploring And Expanding The Rapeseed Gene Poolmentioning
confidence: 99%
“…Breeding efforts could be, therefore, focused on the transfer of restorer genes to a limited number of candidates, which are often achieved by backcrossing processes that usually take several years. To facilitate such applications, we established BnaSNPDB, an interactive web portal for efficient retrieval and analysis of Single Nucleotide Polymorphisms (SNPs) of 1,057 rapeseed germplasm accessions (https://bnapus-zju.com/ bnasnpdb) [34]. SNPs of a genotype can be easily retrieved for in silico pairing with SNPs of an Ogu-CMS-pool member to simulate hybrid vigor.…”
Section: Plos Geneticsmentioning
confidence: 99%