Evidence map›Paper›PMID 30717661›Full record

ArticleBMC bioinformatics2019

Stepwise large genome assembly approach: a case of Siberian larch (Larix sibirica Ledeb).

Dmitry A Kuzmin, Sergey I Feranchuk, Vadim V Sharov, Alexander N Cybin, Stepan V Makolov, Yuliya A Putintseva, Natalya V Oreshkova, Konstantin V Krutovsky

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Genetic Adaptation of Siberian Larch (International journal of molecular sciences · 2023
    Article
  9. Larches of Kuzhanovo Have a Unique Mutation in theInternational journal of molecular sciences · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Annotation of Siberian Larch (Plants (Basel, Switzerland) · 2022
    Article
  14. Article
  15. A revised view on the evolution of glutamine synthetase isoenzymes in plants.The Plant journal : for cell and molecular biology · 2022
    Article
  16. Comparative Genomics of Seasonal Senescence in Forest Trees.International journal of molecular sciences · 2022
    Article
  17. Genome-Wide Prediction of Transcription Start Sites in Conifers.International journal of molecular sciences · 2022
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Dmitry A KuzminLaboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.
Sergey I FeranchukLaboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.
Vadim V SharovLaboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.
Alexander N CybinLaboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.
Stepan V MakolovLaboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.
Yuliya A PutintsevaLaboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.
Natalya V OreshkovaLaboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.
Konstantin V KrutovskyLaboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia. konstantin.krutovsky@forst.uni-goettingen.de.
Siberian Federal University · RUIrkutsk National Research Technical University · RUSukachev Institute of Forest · RUVavilov Institute of General Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDe novo assembling of large genomes, such as in conifers (~ 12-30 Gbp), which also consist of ~ 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.

Indexed as

Genome, PlantArabidopsisLarixPrunusSequence Analysis, DNATime Factorsde novo genome assemblyLarix sibiricaSiberian larch

Identifiers

PMID30717661
PMCPMC6362582
OpenAlexW2914257352

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.