Dataset Information

An integrated linkage map of interspecific backcross 2 (BC₂) populations reveals QTLs associated with fatty acid composition and vegetative parameters influencing compactness in oil palm.

ABSTRACT:

Background

Molecular breeding has opened new avenues for crop improvement with the potential for faster progress. As oil palm is the major producer of vegetable oil in the world, its improvement, such as developing compact planting materials and altering its oils' fatty acid composition for wider application, is important.

Results

This study sought to identify the QTLs associated with fatty acid composition and vegetative traits for compactness in the crop. It integrated two interspecific backcross two (BC₂) mapping populations to improve the genetic resolution and evaluate the consistency of the QTLs identified. A total 1963 markers (1814 SNPs and 149 SSRs) spanning a total map length of 1793?cM were integrated into a consensus map. For the first time, some QTLs associated with vegetative parameters and carotene content were identified in interspecific hybrids, apart from those associated with fatty acid composition. The analysis identified 8, 3 and 8 genomic loci significantly associated with fatty acids, carotene content and compactness, respectively.

Conclusions

Major genomic region influencing the traits for compactness and fatty acid composition was identified in the same chromosomal region in the two populations using two methods for QTL detection. Several significant loci influencing compactness, carotene content and FAC were common to both populations, while others were specific to particular genetic backgrounds. It is hoped that the QTLs identified will be useful tools for marker-assisted selection and accelerate the identification of desirable genotypes for breeding.

SUBMITTER: Yaakub Z

PROVIDER: S-EPMC7391521 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Publications

An integrated linkage map of interspecific backcross 2 (BC<sub>2</sub>) populations reveals QTLs associated with fatty acid composition and vegetative parameters influencing compactness in oil palm.

Yaakub Zulkifli Z Kamaruddin Katialisa K Singh Rajinder R Mustafa Suzana S Marjuni Marhalil M Ting Ngoot-Chin NC Amiruddin Mohd Din MD Leslie Low Eng-Ti LE Cheng-Li Ooi Leslie OL Sritharan Kandha K Nookiah Rajanaidu R Jansen Johannes J Ong Abdullah Meilina M

BMC plant biology 20200729 1

<h4>Background</h4>Molecular breeding has opened new avenues for crop improvement with the potential for faster progress. As oil palm is the major producer of vegetable oil in the world, its improvement, such as developing compact planting materials and altering its oils' fatty acid composition for wider application, is important.<h4>Results</h4>This study sought to identify the QTLs associated with fatty acid composition and vegetative traits for compactness in the crop. It integrated two inter ...[more]

PMID: 32727448

Similar Datasets

Project description:BACKGROUND: Marker 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. RESULTS: A 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. CONCLUSION: This 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.

Dataset Information

An integrated linkage map of interspecific backcross 2 (BC₂) populations reveals QTLs associated with fatty acid composition and vegetative parameters influencing compactness in oil palm.

Background

Results

Conclusions

Publications

An integrated linkage map of interspecific backcross 2 (BC<sub>2</sub>) populations reveals QTLs associated with fatty acid composition and vegetative parameters influencing compactness in oil palm.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

An integrated linkage map of interspecific backcross 2 (BC2) populations reveals QTLs associated with fatty acid composition and vegetative parameters influencing compactness in oil palm.

Background

Results

Conclusions

Publications

An integrated linkage map of interspecific backcross 2 (BC<sub>2</sub>) populations reveals QTLs associated with fatty acid composition and vegetative parameters influencing compactness in oil palm.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

An integrated linkage map of interspecific backcross 2 (BC₂) populations reveals QTLs associated with fatty acid composition and vegetative parameters influencing compactness in oil palm.