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Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening
BACKGROUND: Host genetic backgrounds affect gene functions. The genetic backgrounds of genetically engineered organisms must be identified to confirm their genetic backgrounds identity with those of recipients. Marker-assisted backcrossing (MAB), transgenesis and clustered regularly interspaced shor...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547574/ https://www.ncbi.nlm.nih.gov/pubmed/31159719 http://dx.doi.org/10.1186/s12864-019-5800-4 |
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author | Li, Tiantian Fang, Zhiwei Peng, Hai Zhou, Junfei Liu, Pengcheng Wang, Yanyan Zhu, Wenhui Li, Lun Zhang, Quanfang Chen, Lihong Li, Lili Liu, Zhihao Zhang, Weixiong Zhai, Wenxue Lu, Long Gao, Lifen |
author_facet | Li, Tiantian Fang, Zhiwei Peng, Hai Zhou, Junfei Liu, Pengcheng Wang, Yanyan Zhu, Wenhui Li, Lun Zhang, Quanfang Chen, Lihong Li, Lili Liu, Zhihao Zhang, Weixiong Zhai, Wenxue Lu, Long Gao, Lifen |
author_sort | Li, Tiantian |
collection | PubMed |
description | BACKGROUND: Host genetic backgrounds affect gene functions. The genetic backgrounds of genetically engineered organisms must be identified to confirm their genetic backgrounds identity with those of recipients. Marker-assisted backcrossing (MAB), transgenesis and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (CRISPR/Cas9) editing are three commonly used genetic engineering techniques. However, methods for genetic background screening between genetically engineered organisms and corresponding recipients suffer from low efficiency, low accuracy or high cost. RESULTS: Here, we improved our previously reported AmpSeq-SSR method, an amplicon sequencing-based simple sequence repeat (SSR) genotyping method, by selecting SSR loci with high polymorphism among varieties. Ultimately, a set of 396 SSRs was generated and applied to evaluate the genetic backgrounds identity between rice lines developed through MAB, transgenesis, and CRISPR/Cas9 editing and the respective recipient rice. We discovered that the percentage of different SSRs between the MAB-developed rice line and its recipient was as high as 23.5%. In contrast, only 0.8% of SSRs were different between the CRISPR/Cas9-system-mediated rice line and its recipient, while no SSRs showed different genotypes between the transgenic rice line and its recipient. Furthermore, most differential SSRs induced by MAB technology were located in non-coding regions (62.9%), followed by untranslated regions (21.0%) and coding regions (16.1%). Trinucleotide repeats were the most prevalent type of altered SSR. Most importantly, all altered SSRs located in coding regions were trinucleotide repeats. CONCLUSIONS: This method is not only useful for the background evaluation of genetic resources but also expands our understanding of the unintended effects of different genetic engineering techniques. While the work we present focused on rice, this method can be readily extended to other organisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5800-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6547574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65475742019-06-06 Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening Li, Tiantian Fang, Zhiwei Peng, Hai Zhou, Junfei Liu, Pengcheng Wang, Yanyan Zhu, Wenhui Li, Lun Zhang, Quanfang Chen, Lihong Li, Lili Liu, Zhihao Zhang, Weixiong Zhai, Wenxue Lu, Long Gao, Lifen BMC Genomics Research Article BACKGROUND: Host genetic backgrounds affect gene functions. The genetic backgrounds of genetically engineered organisms must be identified to confirm their genetic backgrounds identity with those of recipients. Marker-assisted backcrossing (MAB), transgenesis and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (CRISPR/Cas9) editing are three commonly used genetic engineering techniques. However, methods for genetic background screening between genetically engineered organisms and corresponding recipients suffer from low efficiency, low accuracy or high cost. RESULTS: Here, we improved our previously reported AmpSeq-SSR method, an amplicon sequencing-based simple sequence repeat (SSR) genotyping method, by selecting SSR loci with high polymorphism among varieties. Ultimately, a set of 396 SSRs was generated and applied to evaluate the genetic backgrounds identity between rice lines developed through MAB, transgenesis, and CRISPR/Cas9 editing and the respective recipient rice. We discovered that the percentage of different SSRs between the MAB-developed rice line and its recipient was as high as 23.5%. In contrast, only 0.8% of SSRs were different between the CRISPR/Cas9-system-mediated rice line and its recipient, while no SSRs showed different genotypes between the transgenic rice line and its recipient. Furthermore, most differential SSRs induced by MAB technology were located in non-coding regions (62.9%), followed by untranslated regions (21.0%) and coding regions (16.1%). Trinucleotide repeats were the most prevalent type of altered SSR. Most importantly, all altered SSRs located in coding regions were trinucleotide repeats. CONCLUSIONS: This method is not only useful for the background evaluation of genetic resources but also expands our understanding of the unintended effects of different genetic engineering techniques. While the work we present focused on rice, this method can be readily extended to other organisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5800-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-03 /pmc/articles/PMC6547574/ /pubmed/31159719 http://dx.doi.org/10.1186/s12864-019-5800-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Li, Tiantian Fang, Zhiwei Peng, Hai Zhou, Junfei Liu, Pengcheng Wang, Yanyan Zhu, Wenhui Li, Lun Zhang, Quanfang Chen, Lihong Li, Lili Liu, Zhihao Zhang, Weixiong Zhai, Wenxue Lu, Long Gao, Lifen Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening |
title | Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening |
title_full | Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening |
title_fullStr | Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening |
title_full_unstemmed | Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening |
title_short | Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening |
title_sort | application of high-throughput amplicon sequencing-based ssr genotyping in genetic background screening |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547574/ https://www.ncbi.nlm.nih.gov/pubmed/31159719 http://dx.doi.org/10.1186/s12864-019-5800-4 |
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