Literature DB >> 34966634

Construction of transgenic detection system of Brassica napus L. based on single nucleotide polymorphism chip.

Enqiang Zhou1, Nuan Song1, Qing Xiao1, Zunaira Farooq1, Zhibo Jia1, Jing Wen2, Cheng Dai2, Chaozhi Ma2, Jinxing Tu2, Jinxiong Shen2, Tingdong Fu2, Bin Yi2.   

Abstract

Brassica napus L. is a vital oil crop in China. As auxiliary tools for rapeseed breeding, transgenic technologies play a considerable role in heterosis, variety improvement, and pest resistance. Research on transgenic detection technologies is of great significance for the introduction, supervision, and development of transgenic rapeseed in China. However, the transgenic detection methods currently in use are complex and time-consuming, with low output. A single nucleotide polymorphism (SNP) chip can effectively overcome such limitations. In the present study, we collected 40 transgenic elements and designed 291 probes. The probe sequences were submitted to Illumina Company, and the Infinium chip technology was used to prepare SNP chips. In the present Brassica napus transgenic detection experiment, 84 high-quality probes of 17 transgenic elements were preliminarily screened, and genotyping effect was optimised for the probe signal value. Ultimately, a transgenic detection system for B. napus was developed. The developed system has the advantages of simple operation, minimal technical errors, and stable detection outcomes. A transgenic detection sensitivity test revealed that the probe designed could accurately detect 1% of transgenic samples and had high detection sensitivity. In addition, in repeatability tests, the CaMV35S promoter coefficient of variation was approximately 3.58%. Therefore, the SNP chip had suitable repeatability in transgene detection. The SNP chip developed could be used to construct transgenic detection systems for B. napus. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03062-6. © King Abdulaziz City for Science and Technology 2021.

Entities:  

Keywords:  Brassica napus L.; Probe; SNP chip; Transgene detection system; Transgenic elements

Year:  2021        PMID: 34966634      PMCID: PMC8655060          DOI: 10.1007/s13205-021-03062-6

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  43 in total

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6.  SNP discovery and development of a high-density genotyping array for sunflower.

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7.  Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios.

Authors:  Johan Staaf; Johan Vallon-Christersson; David Lindgren; Gunnar Juliusson; Richard Rosenquist; Mattias Höglund; Ake Borg; Markus Ringnér
Journal:  BMC Bioinformatics       Date:  2008-10-02       Impact factor: 3.169

8.  A novel reference plasmid for the qualitative detection of genetically modified rice in food and feed.

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9.  A high-density SNP genotyping array for Brassica napus and its ancestral diploid species based on optimised selection of single-locus markers in the allotetraploid genome.

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Journal:  Theor Appl Genet       Date:  2016-06-30       Impact factor: 5.699

Review 10.  Protein microarrays: high-throughput tools for proteomics.

Authors:  Oda Stoevesandt; Michael J Taussig; Mingyue He
Journal:  Expert Rev Proteomics       Date:  2009-04       Impact factor: 3.940

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