Evidence map›Paper›PMID 34106529›Full record

ArticleThe plant genome2021

Genetic dissection of natural variation in oilseed traits of camelina by whole-genome resequencing and QTL mapping.

Huang Li, Xiao Hu, John T Lovell, Paul P Grabowski, Sujan Mamidi, Cindy Chen, Mojgan Amirebrahimi, Indika Kahanda, Brendan Mumey, Kerrie Barry and 4 more

Abstract read
In one paragraph

Article in The plant genome, 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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Genetic study ofFrontiers in plant science · 2024
    Article
  11. Article
  12. Article
  13. Genetic Improvement ofPlants (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Overcoming genetic paucity ofFrontiers in plant science · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. 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.

Huang LiDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.
Xiao HuSchool of Computing, Montana State University, Bozeman, MT, 59717, USA.
John T LovellGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA.ORCID 0000-0002-8938-1166
Paul P GrabowskiGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA.ORCID 0000-0002-4372-0847
Sujan MamidiGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA.
Cindy ChenUnited States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Mojgan AmirebrahimiUnited States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Indika KahandaSchool of Computing, Montana State University, Bozeman, MT, 59717, USA.
Brendan MumeySchool of Computing, Montana State University, Bozeman, MT, 59717, USA.
Kerrie BarryUnited States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
David KudrnaArizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA.
Jeremy SchmutzGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA.ORCID 0000-0001-8062-9172
Jennifer LachowiecDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.ORCID 0000-0003-2962-6448
Chaofu LuDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.ORCID 0000-0001-6901-7490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Camelina [Camelina sativa (L.) Crantz] is an oilseed crop in the Brassicaceae family that is currently being developed as a source of bioenergy and healthy fatty acids. To facilitate modern breeding efforts through marker-assisted selection and biotechnology, we evaluated genetic variation among a worldwide collection of 222 camelina accessions. We performed whole-genome resequencing to obtain single nucleotide polymorphism (SNP) markers and to analyze genomic diversity. We also conducted phenotypic field evaluations in two consecutive seasons for variations in key agronomic traits related to oilseed production such as seed size, oil content (OC), fatty acid composition, and flowering time. We determined the population structure of the camelina accessions using 161,301 SNPs. Further, we identified quantitative trait loci (QTL) and candidate genes controlling the above field-evaluated traits by genome-wide association studies (GWAS) complemented with linkage mapping using a recombinant inbred line (RIL) population. Characterization of the natural variation at the genome and phenotypic levels provides valuable resources to camelina genetic studies and crop improvement. The QTL and candidate genes should assist in breeding of advanced camelina varieties that can be integrated into the cropping systems for the production of high yield of oils of desired fatty acid composition.

Indexed as

BrassicaceaeQuantitative Trait LociDissectionGenome-Wide Association StudyPlant Breeding

Identifiers

PMID34106529
PMCPMC12806864

What OpenQuestion holds

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Registered trials

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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.