Genome-wide identification of markers for selecting higher oil content in oil palm

Background: Oil palm (Elaeis guineensis, Jacq.) is the most important source of edible oil. The improvement of oil yield is currently slow in conventional breeding programs due to long generation intervals. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement. To ident...

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Main Authors: Bai, Bin, Wang, Le, Lee, May, Zhang, Yingjun, Rahmadsyah, Alfiko, Yuzer, Ye, Bao Qing, Wan, Zi Yi, Lim, Chin Huat, Suwanto, Antonius, Chua, Nam-Hai, Yue, Gen Hua
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2017
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Online Access:https://hdl.handle.net/10356/85214
http://hdl.handle.net/10220/43678
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-852142023-02-28T17:00:06Z Genome-wide identification of markers for selecting higher oil content in oil palm Bai, Bin Wang, Le Lee, May Zhang, Yingjun Rahmadsyah Alfiko, Yuzer Ye, Bao Qing Wan, Zi Yi Lim, Chin Huat Suwanto, Antonius Chua, Nam-Hai Yue, Gen Hua School of Biological Sciences RAD-seq Mapping Background: Oil palm (Elaeis guineensis, Jacq.) is the most important source of edible oil. The improvement of oil yield is currently slow in conventional breeding programs due to long generation intervals. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement. To identify DNA markers associated with oil content traits for MAS, we performed quantitative trait loci (QTL) mapping using genotyping by sequencing (GBS) in a breeding population derived from a cross between Deli Dura and Ghana Pisifera, containing 153 F1 trees. Results: We constructed a high-density linkage map containing 1357 SNPs and 123 microsatellites. The 16 linkage groups (LGs) spanned 1527 cM, with an average marker space of 1.03 cM. One significant and three suggestive QTL for oil to bunch (O/B) and oil to dry mesocarp (O/DM) were mapped on LG1, LG8, and LG10 in a F1 breeding population, respectively. These QTL explained 7.6–13.3% of phenotypic variance. DNA markers associated with oil content in these QTL were identified. Trees with beneficial genotypes at two QTL for O/B showed an average O/B of 30.97%, significantly (P < 0.01) higher than that of trees without any beneficial QTL genotypes (average O/B of 28.24%). QTL combinations showed that the higher the number of QTL with beneficial genotypes, the higher the resulting average O/B in the breeding population. Conclusions: A linkage map with 1480 DNA markers was constructed and used to identify QTL for oil content traits. Pyramiding the identified QTL with beneficial genotypes associated with oil content traits using DNA markers has the potential to accelerate genetic improvement for oil yield in the breeding population of oil palm. Published version 2017-09-04T07:48:53Z 2019-12-06T15:59:37Z 2017-09-04T07:48:53Z 2019-12-06T15:59:37Z 2017 Journal Article Bai, B., Wang, L., Lee, M., Zhang, Y., Rahmadsyah, Alfiko, Y., et al. (2017). Genome-wide identification of markers for selecting higher oil content in oil palm. BMC Plant Biology, 17, 93-. https://hdl.handle.net/10356/85214 http://hdl.handle.net/10220/43678 10.1186/s12870-017-1045-z en BMC Plant Biology © 2017 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. 11 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic RAD-seq
Mapping
spellingShingle RAD-seq
Mapping
Bai, Bin
Wang, Le
Lee, May
Zhang, Yingjun
Rahmadsyah
Alfiko, Yuzer
Ye, Bao Qing
Wan, Zi Yi
Lim, Chin Huat
Suwanto, Antonius
Chua, Nam-Hai
Yue, Gen Hua
Genome-wide identification of markers for selecting higher oil content in oil palm
description Background: Oil palm (Elaeis guineensis, Jacq.) is the most important source of edible oil. The improvement of oil yield is currently slow in conventional breeding programs due to long generation intervals. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement. To identify DNA markers associated with oil content traits for MAS, we performed quantitative trait loci (QTL) mapping using genotyping by sequencing (GBS) in a breeding population derived from a cross between Deli Dura and Ghana Pisifera, containing 153 F1 trees. Results: We constructed a high-density linkage map containing 1357 SNPs and 123 microsatellites. The 16 linkage groups (LGs) spanned 1527 cM, with an average marker space of 1.03 cM. One significant and three suggestive QTL for oil to bunch (O/B) and oil to dry mesocarp (O/DM) were mapped on LG1, LG8, and LG10 in a F1 breeding population, respectively. These QTL explained 7.6–13.3% of phenotypic variance. DNA markers associated with oil content in these QTL were identified. Trees with beneficial genotypes at two QTL for O/B showed an average O/B of 30.97%, significantly (P < 0.01) higher than that of trees without any beneficial QTL genotypes (average O/B of 28.24%). QTL combinations showed that the higher the number of QTL with beneficial genotypes, the higher the resulting average O/B in the breeding population. Conclusions: A linkage map with 1480 DNA markers was constructed and used to identify QTL for oil content traits. Pyramiding the identified QTL with beneficial genotypes associated with oil content traits using DNA markers has the potential to accelerate genetic improvement for oil yield in the breeding population of oil palm.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Bai, Bin
Wang, Le
Lee, May
Zhang, Yingjun
Rahmadsyah
Alfiko, Yuzer
Ye, Bao Qing
Wan, Zi Yi
Lim, Chin Huat
Suwanto, Antonius
Chua, Nam-Hai
Yue, Gen Hua
format Article
author Bai, Bin
Wang, Le
Lee, May
Zhang, Yingjun
Rahmadsyah
Alfiko, Yuzer
Ye, Bao Qing
Wan, Zi Yi
Lim, Chin Huat
Suwanto, Antonius
Chua, Nam-Hai
Yue, Gen Hua
author_sort Bai, Bin
title Genome-wide identification of markers for selecting higher oil content in oil palm
title_short Genome-wide identification of markers for selecting higher oil content in oil palm
title_full Genome-wide identification of markers for selecting higher oil content in oil palm
title_fullStr Genome-wide identification of markers for selecting higher oil content in oil palm
title_full_unstemmed Genome-wide identification of markers for selecting higher oil content in oil palm
title_sort genome-wide identification of markers for selecting higher oil content in oil palm
publishDate 2017
url https://hdl.handle.net/10356/85214
http://hdl.handle.net/10220/43678
_version_ 1759855318403121152