Evidence map›Paper›PMID 22960864›Full record

ReviewPlant molecular biology2012

Towards decoding the conifer giga-genome.

John Mackay, Jeffrey F D Dean, Christophe Plomion, Daniel G Peterson, Francisco M Cánovas, Nathalie Pavy, Pär K Ingvarsson, Outi Savolainen, M Ángeles Guevara, Silvia Fluch and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Plant molecular biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. Article
  2. A transcriptome atlas of zygotic and somatic embryogenesis in Norway spruce.The Plant journal : for cell and molecular biology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Under Stress: Searching for Genes Involved in the Response ofInternational journal of molecular sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Genetic Engineering Strategies forFrontiers in bioengineering and biotechnology · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  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

14 authors.

John MackayCenter for Forest Research, Institute for Integrative and Systems Biology, Université Laval, Québec, Québec G1V 0A6, Canada.
Jeffrey F D Dean
Christophe Plomion
Daniel G Peterson
Francisco M Cánovas
Nathalie Pavy
Pär K Ingvarsson
Outi Savolainen
M Ángeles Guevara
Silvia Fluch
Barbara Vinceti
Dolores Abarca
Carmen Díaz-Sala
María-Teresa Cervera

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several new initiatives have been launched recently to sequence conifer genomes including pines, spruces and Douglas-fir. Owing to the very large genome sizes ranging from 18 to 35 gigabases, sequencing even a single conifer genome had been considered unattainable until the recent throughput increases and cost reductions afforded by next generation sequencers. The purpose of this review is to describe the context for these new initiatives. A knowledge foundation has been acquired in several conifers of commercial and ecological interest through large-scale cDNA analyses, construction of genetic maps and gene mapping studies aiming to link phenotype and genotype. Exploratory sequencing in pines and spruces have pointed out some of the unique properties of these giga-genomes and suggested strategies that may be needed to extract value from their sequencing. The hope is that recent and pending developments in sequencing technology will contribute to rapidly filling the knowledge vacuum surrounding their structure, contents and evolution. Researchers are also making plans to use comparative analyses that will help to turn the data into a valuable resource for enhancing and protecting the world's conifer forests.

Indexed as

Genome, PlantBreedingChromosome MappingChromosomes, Artificial, BacterialGene Expression ProfilingGenetic Association StudiesGenomicsMultigene FamilyPlant ProteinsPolymorphism, Single NucleotideQuantitative Trait LociRNA, PlantRNA, Small UntranslatedTracheophytaTranscriptomePlant ProteinsRNA, PlantRNA, Small Untranslated

Identifiers

What OpenQuestion holds

Textmetadata
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.