Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing

Incorporation of unique barcodes into fission yeast gene deletion collections has enabled the identification of gene functions by growth fitness analysis. For fine tuning, it is important to examine barcode sequences, because mutations arise during strain construction. Out of 8,708 barcodes (4,354 s...

Full description

Saved in:
Bibliographic Details
Main Authors: Minho Lee, Shin-Jung Choi, Sangjo Han, Miyoung Nam, Dongsup Kim, Dong-Uk Kim, Kwang-Lae Hoe
Format: Article
Language:English
Published: BioMed Central 2018-06-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gi-2018-16-2-22.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832573670983204864
author Minho Lee
Shin-Jung Choi
Sangjo Han
Miyoung Nam
Dongsup Kim
Dong-Uk Kim
Kwang-Lae Hoe
author_facet Minho Lee
Shin-Jung Choi
Sangjo Han
Miyoung Nam
Dongsup Kim
Dong-Uk Kim
Kwang-Lae Hoe
author_sort Minho Lee
collection DOAJ
description Incorporation of unique barcodes into fission yeast gene deletion collections has enabled the identification of gene functions by growth fitness analysis. For fine tuning, it is important to examine barcode sequences, because mutations arise during strain construction. Out of 8,708 barcodes (4,354 strains) covering 88.5% of all 4,919 open reading frames, 7,734 barcodes (88.8%) were validated as high-fidelity to be inserted at the correct positions by Sanger sequencing. Sequence examination of the 7,734 high-fidelity barcodes revealed that 1,039 barcodes (13.4%) deviated from the original design. In total, 1,284 mutations (mutation rate of 16.6%) exist within the 1,039 mutated barcodes, which is comparable to budding yeast (18%). When the type of mutation was considered, substitutions accounted for 845 mutations (10.9%), deletions accounted for 319 mutations (4.1%), and insertions accounted for 121 mutations (1.6%). Peculiarly, the frequency of substitutions (67.6%) was unexpectedly higher than in budding yeast (~28%) and well above the predicted error of Sanger sequencing (~2%), which might have arisen during the solid-phase oligonucleotide synthesis and PCR amplification of the barcodes during strain construction. When the mutation rate was analyzed by position within 20-mer barcodes using the 1,284 mutations from the 7,734 sequenced barcodes, there was no significant difference between up-tags and down-tags at a given position. The mutation frequency at a given position was similar at most positions, ranging from 0.4% (32/7,734) to 1.1% (82/7,734), except at position 1, which was highest (3.1%), as in budding yeast. Together, well-defined barcode sequences, combined with the next-generation sequencing platform, promise to make the fission yeast gene deletion library a powerful tool for understanding gene function.
format Article
id doaj-art-1133662a025a43e096af12f887c0c907
institution Kabale University
issn 2234-0742
language English
publishDate 2018-06-01
publisher BioMed Central
record_format Article
series Genomics & Informatics
spelling doaj-art-1133662a025a43e096af12f887c0c9072025-02-02T03:13:31ZengBioMed CentralGenomics & Informatics2234-07422018-06-01162222910.5808/GI.2018.16.2.22508Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger SequencingMinho Lee0Shin-Jung Choi1Sangjo Han2Miyoung Nam3Dongsup Kim4Dong-Uk Kim5Kwang-Lae Hoe6 Catholic Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea Aging Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon 34141, Korea Data Analytics CoE, SK Telecom, Seongnam 13595, Korea Department of New Drug Development, Chungnam National University, Daejeon 34134, Korea Department of Bio and Brain Engineering, Korea Advanced Institute of Science & Technology (KAIST), Daejeon 34141, Korea Aging Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon 34141, Korea Department of New Drug Development, Chungnam National University, Daejeon 34134, KoreaIncorporation of unique barcodes into fission yeast gene deletion collections has enabled the identification of gene functions by growth fitness analysis. For fine tuning, it is important to examine barcode sequences, because mutations arise during strain construction. Out of 8,708 barcodes (4,354 strains) covering 88.5% of all 4,919 open reading frames, 7,734 barcodes (88.8%) were validated as high-fidelity to be inserted at the correct positions by Sanger sequencing. Sequence examination of the 7,734 high-fidelity barcodes revealed that 1,039 barcodes (13.4%) deviated from the original design. In total, 1,284 mutations (mutation rate of 16.6%) exist within the 1,039 mutated barcodes, which is comparable to budding yeast (18%). When the type of mutation was considered, substitutions accounted for 845 mutations (10.9%), deletions accounted for 319 mutations (4.1%), and insertions accounted for 121 mutations (1.6%). Peculiarly, the frequency of substitutions (67.6%) was unexpectedly higher than in budding yeast (~28%) and well above the predicted error of Sanger sequencing (~2%), which might have arisen during the solid-phase oligonucleotide synthesis and PCR amplification of the barcodes during strain construction. When the mutation rate was analyzed by position within 20-mer barcodes using the 1,284 mutations from the 7,734 sequenced barcodes, there was no significant difference between up-tags and down-tags at a given position. The mutation frequency at a given position was similar at most positions, ranging from 0.4% (32/7,734) to 1.1% (82/7,734), except at position 1, which was highest (3.1%), as in budding yeast. Together, well-defined barcode sequences, combined with the next-generation sequencing platform, promise to make the fission yeast gene deletion library a powerful tool for understanding gene function.http://genominfo.org/upload/pdf/gi-2018-16-2-22.pdfbarcodefission yeastgene deletiongrowth fitnessmutation
spellingShingle Minho Lee
Shin-Jung Choi
Sangjo Han
Miyoung Nam
Dongsup Kim
Dong-Uk Kim
Kwang-Lae Hoe
Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing
Genomics & Informatics
barcode
fission yeast
gene deletion
growth fitness
mutation
title Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing
title_full Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing
title_fullStr Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing
title_full_unstemmed Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing
title_short Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing
title_sort mutation analysis of synthetic dna barcodes in a fission yeast gene deletion library by sanger sequencing
topic barcode
fission yeast
gene deletion
growth fitness
mutation
url http://genominfo.org/upload/pdf/gi-2018-16-2-22.pdf
work_keys_str_mv AT minholee mutationanalysisofsyntheticdnabarcodesinafissionyeastgenedeletionlibrarybysangersequencing
AT shinjungchoi mutationanalysisofsyntheticdnabarcodesinafissionyeastgenedeletionlibrarybysangersequencing
AT sangjohan mutationanalysisofsyntheticdnabarcodesinafissionyeastgenedeletionlibrarybysangersequencing
AT miyoungnam mutationanalysisofsyntheticdnabarcodesinafissionyeastgenedeletionlibrarybysangersequencing
AT dongsupkim mutationanalysisofsyntheticdnabarcodesinafissionyeastgenedeletionlibrarybysangersequencing
AT dongukkim mutationanalysisofsyntheticdnabarcodesinafissionyeastgenedeletionlibrarybysangersequencing
AT kwanglaehoe mutationanalysisofsyntheticdnabarcodesinafissionyeastgenedeletionlibrarybysangersequencing