Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

/ E. I. Bondar [et al.] // BMC Bioinformatics. - 2019. - Vol. 20: 11th International Multiconference on Bioinformatics of Genome (AUG 20-25, 2018, Novosibirsk, RUSSIA). - Ст. 38, DOI 10.1186/s12859-018-2571-x. - Cited References:25. - The presented study was a part of the project "Genomic studies of major boreal coniferous forest tree species and their most dangerous pathogens in the Russian Federation" funded by the Government of the Russian Federation (grant No 14.Y26.31.0004). Publication costs are funded by the BioMed Central Membership of the University of Gottingen. . - ISSN 1471-2105РУБ Biochemical Research Methods + Biotechnology & Applied Microbiology

Аннотация: BackgroundThe main objectives of this study were sequencing, assembling, and annotation of chloroplast genome of one of the main Siberian boreal forest tree conifer species Siberian larch (Larix sibirica Ledeb.) and detection of polymorphic genetic markers - microsatellite loci or simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs).ResultsWe used thedata of the whole genome sequencing of three Siberian larch trees from different regions - theUrals, Krasnoyarsk, and Khakassia, respectively. Sequence reads were obtained using the Illumina HiSeq2000 in the Laboratory of Forest Genomics at the Genome Research and Education Center ofthe Siberian Federal University. The assembling was done using the Bowtie2 mapping program and the SPAdes genomic assembler. The genome annotation was performed using the RAST service. We used the GMATo program for the SSRs search, and the Bowtie2 and UGENE programs for the SNPs detection. Length of the assembled chloroplast genome was 122,561bp, which is similar to 122,474bp in the closely related European larch (Larix decidua Mill.). As a result of annotation and comparison of the data with theexisting data available only for three larch species - L. decidua, L. potaninii var. chinensis (complete genome 122,492bp), and L. occidentalis (partial genome of 119,680bp), we identified 110 genes, 34 of which represented tRNA, 4 rRNA, and 72 protein-coding genes. In total, 13 SNPs were detected; two of them were in the tRNA-Arg and Cell division protein FtsH genes, respectively. In addition, 23 SSR loci were identified.ConclusionsThe complete chloroplast genome sequence was obtained for Siberian larch for the first time. The reference complete chloroplast genomes, such as one described here, would greatly help in the chloroplast resequencing and search for additional genetic markers using population samples. The results of this research will be useful for further phylogenetic and gene flow studies in conifers.

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Держатели документа:
Siberian Fed Univ, Genome Res & Educ Ctr, Lab Forest Genom, Krasnoyarsk 660036, Russia.
Russian Acad Sci, VN Sukachev Inst Forest, Lab Forest Genet & Select, Siberian Branch, Krasnoyarsk 660036, Russia.
Georg August Univ Gottingen, Dept Forest Genet & Forest Tree Breeding, Busgenweg 2, D-37077 Gottingen, Germany.
Russian Acad Sci, Vavilov Inst Gen Genet, Lab Populat Genet, Moscow 119333, Russia.
Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA.

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Bondar, Eugeniya I.; Putintseva, Yuliya A.; Oreshkova, Nataliya V.; Krutovsky, Konstantin V.; Krutovsky, Konstantin; Government of the Russian Federation [14.Y26.31.0004]; University of Gottingen

/ D. A. Kuzmin [et al.] // BMC Bioinformatics. - 2019. - Vol. 20: 11th International Multiconference on Bioinformatics of Genome (AUG 20-25, 2018, Novosibirsk, RUSSIA). - Ст. 37, DOI 10.1186/s12859-018-2570-y. - Cited References:32. - This study was funded by a research grant No. 14.Y26.31.0004 from the Government of the Russian Federation. No funding agency played any role in the design or conclusion of this study. Publication costs are funded by the BioMed Central Membership of the University of Gottingen. . - ISSN 1471-2105РУБ Biochemical Research Methods + Biotechnology & Applied Microbiology

Аннотация: BackgroundDe novo assembling of large genomes, such as in conifers (similar to 12-30 Gbp), which also consist of similar to 80% of repetitive DNA, is a very complex and computationally intense endeavor. One of the main problems in assembling such genomes lays in computing limitations of nucleotide sequence assembly programs (DNA assemblers). As a rule, modern assemblers are usually designed to assemble genomes with a length not exceeding the length of the human genome (3.24 Gbp). Most assemblers cannot handle the amount of input sequence data required to provide sufficient coverage needed for a high-quality assembly.ResultsAn original stepwise method of de novo assembly by parts (sets), which allows to bypass the limitations of modern assemblers associated with a huge amount of data being processed, is presented in this paper. The results of numerical assembling experiments conducted using the model plant Arabidopsis thaliana, Prunus persica (peach) and four most popular assemblers, ABySS, SOAPdenovo, SPAdes, and CLC Assembly Cell, showed the validity and effectiveness of the proposed stepwise assembling method.ConclusionUsing the new stepwise de novo assembling method presented in the paper, the genome of Siberian larch, Larix sibirica Ledeb. (12.34 Gbp) was completely assembled de novo by the CLC Assembly Cell assembler. It is the first genome assembly for larch species in addition to only five other conifer genomes sequenced and assembled for Picea abies, Picea glauca, Pinus taeda, Pinus lambertiana, and Pseudotsuga menziesii var. menziesii.

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Держатели документа:
Siberian Fed Univ, Genome Res & Educ Ctr, Lab Forest Genom, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Inst Space & Informat Technol, Dept High Performance Comp, Krasnoyarsk 660074, Russia.
Natl Res Tech Univ, Dept Informat, Irkutsk 664074, Russia.
Russian Acad Sci, Limnol Inst, Siberian Branch, Irkutsk 664033, Russia.
Russian Acad Sci, VN Sukachev Inst Forest, Lab Forest Genet & Select, Siberian Branch, Krasnoyarsk 660036, Russia.
Georg August Univ Gottingen, Dept Forest Genet & Forest Tree Breeding, D-37077 Gottingen, Germany.
Russian Acad Sci, NI Vavilov Inst Gen Genet, Lab Populat Genet, Moscow 119333, Russia.
Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA.

Доп.точки доступа:
Kuzmin, Dmitry A.; Feranchuk, Sergey I.; Sharov, Vadim V.; Cybin, Alexander N.; Makolov, Stepan V.; Putintseva, Yuliya A.; Oreshkova, Natalya V.; Krutovsky, Konstantin V.; Krutovsky, Konstantin; Government of the Russian Federation - BioMed Central Membership of the University of Gottingen [14, Y26.31.0004]