Evidence map›Paper›PMID 19706196›Full record

ArticleBMC plant biology2009

Mapping quantitative trait loci (QTLs) for fatty acid composition in an interspecific cross of oil palm.

Rajinder Singh, Soon G Tan, Jothi M Panandam, Rahimah Abdul Rahman, Leslie C L Ooi, Eng-Ti L Low, Mukesh Sharma, Johannes Jansen, Suan-Choo Cheah

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

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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

45 citing papers in PubMed, 134 citations in OpenAlex.

  1. Article
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  5. Article
  6. Genomic selection for morphological and yield-related traits using genome-wide SNPs in oil palm.Molecular breeding : new strategies in plant improvement · 2022
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  7. Review
  8. Article
  9. Phenomics, genomics of oil palm (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Review
  10. Molecular approaches for improving oil palm for oil.Molecular breeding : new strategies in plant improvement · 2021
    Review
  11. Article
  12. Article
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  14. Article
  15. Review
  16. Article
  17. Association Study of the 5'UTR Intron of theFrontiers in plant science · 2020
    Article
  18. Article
  19. Article
  20. 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

9 authors at 4 institutions in 3 countries.

Rajinder SinghAdvanced Biotechnology and Breeding Centre, Biology Division, Malaysian Palm Oil Board (MPOB), No, 6, Persiaran Institusi, Selangor DE, Malaysia. rajinder@mpob.gov.my
Soon G Tan
Jothi M Panandam
Rahimah Abdul Rahman
Leslie C L Ooi
Eng-Ti L Low
Mukesh Sharma
Johannes Jansen
Suan-Choo Cheah
Malaysian Palm Oil Board · MYUniversiti Putra Malaysia · MYAsian Development Bank Institute · JPWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMarker Assisted Selection (MAS) is well suited to a perennial crop like oil palm, in which the economic products are not produced until several years after planting. The use of DNA markers for selection in such crops can greatly reduce the number of breeding cycles needed. With the use of DNA markers, informed decisions can be made at the nursery stage, regarding which individuals should be retained as breeding stock, which are satisfactory for agricultural production, and which should be culled. The trait associated with oil quality, measured in terms of its fatty acid composition, is an important agronomic trait that can eventually be tracked using molecular markers. This will speed up the production of new and improved oil palm planting materials.

resultsA map was constructed using AFLP, RFLP and SSR markers for an interspecific cross involving a Colombian Elaeis oleifera (UP1026) and a Nigerian E. guinneensis (T128). A framework map was generated for the male parent, T128, using Joinmap ver. 4.0. In the paternal (E. guineensis) map, 252 markers (199 AFLP, 38 RFLP and 15 SSR) could be ordered in 21 linkage groups (1815 cM). Interval mapping and multiple-QTL model (MQM) mapping (also known as composite interval mapping, CIM) were used to detect quantitative trait loci (QTLs) controlling oil quality (measured in terms of iodine value and fatty acid composition). At a 5% genome-wide significance threshold level, QTLs associated with iodine value (IV), myristic acid (C14:0), palmitic acid (C16:0), palmitoleic acid (C16:1), stearic acid (C18:0), oleic acid (C18:1) and linoleic acid (C18:2) content were detected. One genomic region on Group 1 appears to be influencing IV, C14:0, C16:0, C18:0 and C18:1 content. Significant QTL for C14:0, C16:1, C18:0 and C18:1 content was detected around the same locus on Group 15, thus revealing another major locus influencing fatty acid composition in oil palm. Additional QTL for C18:0 was detected on Group 3. A minor QTL for C18:2 was detected on Group 2.

conclusionThis study describes the first successful detection of QTLs for fatty acid composition in oil palm. These QTLs constitute useful tools for application in breeding programmes.

Indexed as

Chromosome MappingQuantitative Trait LociAmplified Fragment Length Polymorphism AnalysisArecaceaeCrosses, GeneticDNA, ComplementaryDNA, PlantFatty AcidsGenetic MarkersMicrosatellite RepeatsPolymorphism, Restriction Fragment LengthSequence Analysis, DNADNA, ComplementaryDNA, PlantFatty AcidsGenetic Markers

Identifiers

PMID19706196
PMCPMC2757029
OpenAlexW2025451185

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.