Evidence map›Paper›PMID 34638922›Full record

ReviewInternational journal of molecular sciences2021

Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing.

Sunny Ahmar, Paulina Ballesta, Mohsin Ali, Freddy Mora-Poblete

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  10. Needle and Branch Trait Variation Analysis and Associated SNP Loci Mining inInternational journal of molecular sciences · 2024
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  11. Article
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  19. CRISPR-Based Genome Editing and Its Applications in Woody Plants.International journal of molecular sciences · 2022
    Review
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

4 authors.

Sunny AhmarInstitute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile.ORCID 0000-0001-6802-2386
Paulina BallestaThe National Fund for Scientific and Technological Development, Av. del Agua 3895, Talca 3460000, Chile.
Mohsin AliDepartment of Forestry and Range Management, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Freddy Mora-PobleteInstitute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile.ORCID 0000-0002-4845-3549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forest tree breeding efforts have focused mainly on improving traits of economic importance, selecting trees suited to new environments or generating trees that are more resilient to biotic and abiotic stressors. This review describes various methods of forest tree selection assisted by genomics and the main technological challenges and achievements in research at the genomic level. Due to the long rotation time of a forest plantation and the resulting long generation times necessary to complete a breeding cycle, the use of advanced techniques with traditional breeding have been necessary, allowing the use of more precise methods for determining the genetic architecture of traits of interest, such as genome-wide association studies (GWASs) and genomic selection (GS). In this sense, main factors that determine the accuracy of genomic prediction models are also addressed. In turn, the introduction of genome editing opens the door to new possibilities in forest trees and especially clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR/Cas9). It is a highly efficient and effective genome editing technique that has been used to effectively implement targetable changes at specific places in the genome of a forest tree. In this sense, forest trees still lack a transformation method and an inefficient number of genotypes for CRISPR/Cas9. This challenge could be addressed with the use of the newly developing technique GRF-GIF with speed breeding.

Indexed as

ForestsSelection, GeneticCRISPR-Cas SystemsGene EditingGenome, PlantGenome-Wide Association StudyGenomicsGenotypePlant BreedingTreesBayesian genomic predictionBLUPCRISPR/Cas9forest tree improvementGRF-GIF

Identifiers

PMID34638922
PMCPMC8508745

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.