Genome-wide association analysis of the lipid and fatty acid metabolism regulatory network in the mesocarp of oil palm (Elaeis guineensis Jacq.) based on small noncoding RNA sequencing

2018 ◽  
Vol 39 (3) ◽  
pp. 356-371 ◽  
Author(s):  
Yusheng Zheng ◽  
Chongjian Chen ◽  
Yuanxue Liang ◽  
Ruhao Sun ◽  
Lingchao Gao ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Fatty Acid Metabolism ◽  
Oil Palm ◽  
Regulatory Network ◽  
Noncoding Rna ◽  
Acid Metabolism ◽  
Elaeis Guineensis ◽  
Genome Wide Association ◽  
Small Noncoding Rna ◽  
Genome Wide

scholarly journals Genome-wide association study (GWAS) for morphological and yield-related traits in an oil palm hybrid (Elaeis oleifera x Elaeis guineensis) population

2019 ◽  
Author(s):  
Jaime Osorio ◽  
Gina Garzón ◽  
Paola Delgadillo ◽  
Silvio Bastidas ◽  
Leidy Moreno ◽  
...  
Keyword(s):  
Association Mapping ◽  
Candidate Genes ◽  
Oil Palm ◽  
Plant Architecture ◽  
Elaeis Guineensis ◽  
Genotyping By Sequencing ◽  
Genome Wide Association ◽  
Elaeis Oleifera ◽  
Genome Wide ◽  
Genomic Regions

Abstract Background The genus Elaeis has two species of economic importance for the oil palm agroindustry: Elaeis oleifera (O), native to the Americas, and Elaeis guineensis (G), native to Africa. This work provides to our knowledge, the first association mapping study in an interspecific OxG oil palm population, which shows tolerance to pests and diseases, high oil quality, and acceptable fruit bunch production. Results Using genotyping-by-sequencing (GBS), we identified a total of 3,776 single nucleotide polymorphisms (SNPs) that were used to perform a genome-wide association analysis (GWAS) in 378 OxG hybrid population for 10 agronomic traits. Twelve genomic regions (SNPs) were located near candidate genes implicated in multiple functional categories, such as tissue growth, cellular trafficking, and physiological processes. Conclusions We provide new insights on genomic regions that mapped on candidate genes involved in plant architecture and yield. These potential candidate genes need to be confirmed for future targeted functional analyses. Associated markers to the traits of interest may be valuable resources for the development of marker-assisted selection in oil palm breeding. Keywords: Association mapping, Elaeis guineensis , Elaeis oleifera , genotyping-by-sequencing, plant architecture, yield.

scholarly journals Genome-wide association study (GWAS) for morphological and yield-related traits in an oil palm hybrid (Elaeis oleifera x Elaeis guineensis) population

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jaime A. Osorio-Guarín ◽  
Gina A. Garzón-Martínez ◽  
Paola Delgadillo-Duran ◽  
Silvio Bastidas ◽  
Leidy P. Moreno ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Oil Palm ◽  
Elaeis Guineensis ◽  
Genome Wide Association ◽  
Hybrid Population ◽  
Potential Candidate ◽  
Elaeis Oleifera ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

Abstract Background The genus Elaeis has two species of economic importance for the oil palm agroindustry: Elaeis oleifera (O), native to the Americas, and Elaeis guineensis (G), native to Africa. This work provides to our knowledge, the first association mapping study in an interspecific OxG oil palm population, which shows tolerance to pests and diseases, high oil quality, and acceptable fruit bunch production. Results Using genotyping-by-sequencing (GBS), we identified a total of 3776 single nucleotide polymorphisms (SNPs) that were used to perform a genome-wide association analysis (GWAS) in 378 OxG hybrid population for 10 agronomic traits. Twelve genomic regions (SNPs) were located near candidate genes implicated in multiple functional categories, such as tissue growth, cellular trafficking, and physiological processes. Conclusions We provide new insights on genomic regions that mapped on candidate genes involved in plant architecture and yield. These potential candidate genes need to be confirmed for future targeted functional analyses. Associated markers to the traits of interest may be valuable resources for the development of marker-assisted selection in oil palm breeding.

scholarly journals Genome wide association study (GWAS) for morphological and yield-related traits in oil palm hybrids (Elaeis oleifera x Elaeis guineensis)

2019 ◽  
Author(s):  
Jaime Osorio ◽  
Gina Garzón ◽  
Paola Delgadillo ◽  
Silvio Bastidas ◽  
Leidy Moreno ◽  
...  
Keyword(s):  
Association Mapping ◽  
Candidate Genes ◽  
Oil Palm ◽  
Plant Architecture ◽  
Elaeis Guineensis ◽  
Genotyping By Sequencing ◽  
Genome Wide Association ◽  
Elaeis Oleifera ◽  
Genome Wide ◽  
Genomic Regions

Abstract Abstract Background The genus Elaeis has two species of economic importance for the oil palm agroindustry: Elaeis oleifera (O), native to the Americas, and Elaeis guineensis (G), native to Africa. The work presented herein provides, to our knowledge, the first association mapping study in an interspecific OxG hybrid population of oil palm which presents tolerance to pests and diseases, high oil quality, and acceptable fruit bunch production. Results Using genotyping-by-sequencing (GBS), we identified a total of 3,776 single nucleotide polymorphisms (SNPs) that were used to perform a genome-wide association analysis (GWAS) in 378 OxG hybrids for 10 agronomic traits. Twelve genomic regions were located near candidate genes implicated in multiple functional categories, such as tissue growth, cellular trafficking, and physiological processes. Conclusions We provide new insights on candidate genes that mapped on genomic regions involved in plant architecture and yield; however, these potential candidate genes need to be confirmed for future targeted functional analysis. The associated markers may be valuable resources for the development of marker-assisted selection in oil palm breeding. Keywords: Association mapping, Elaeis guineensis, Elaeis oleifera, genotyping-by-sequencing, plant architecture, yield.

scholarly journals Identification of candidate genes responsible for morphological and yield-related traits via genome-wide association analysis (GWAS) in oil palm (Elaeis oleifera x Elaeis guineensis)

2019 ◽  
Author(s):  
Jaime Osorio ◽  
Gina Garzón ◽  
Paola Delgadillo ◽  
Silvio Bastidas ◽  
Leidy Moreno ◽  
...  
Keyword(s):  
Association Mapping ◽  
Candidate Genes ◽  
Oil Palm ◽  
Plant Architecture ◽  
Elaeis Guineensis ◽  
Genotyping By Sequencing ◽  
Genome Wide Association ◽  
Hybrid Population ◽  
Elaeis Oleifera ◽  
Genome Wide

Abstract Background The genus Elaeis has two species of economic importance for the oil palm agroindustry: Elaeis oleifera (O), native to the Americas, and Elaeis guineensis (G), native to Africa. The breeding program in Colombia relies on interspecific OxG crossing populations with tolerance to pests and diseases, high oil quality, and acceptable fruit bunch production. The identification of loci associated to morphological and yield-related traits and the dissection of their genetic architecture will provide essential insights for oil palm breeding strategies. Results The genotypes of 471 oil palms, including 62 E. oleifera (O), 31 E. guineensis (G) and 378 OxG samples were analyzed in this study. A total of 3,776 single nucleotide polymorphisms (SNP) were detected across the 16 oil palm chromosomes using the genotyping-by-sequencing (GBS) technique. The genetic variation and population structure analyses grouped the samples into two clades according to the parental relatedness. A genome wide association analysis (GWAS) was conducting using the OxG hybrid population, resulting in 12 SNPs significantly associated with ten different morphological and yield-related traits. Conclusions The work presented herein provides to our knowledge the first association mapping study in an interspecific OxG hybrid population of oil palm. We provide new insights on candidate genes involved in tissue development and plant architecture associated to traits such as: rachis length, trunk diameter, bunch number, and bunch weight. The genes identified in our analysis are putative candidates for future targeted functional analysis. They are valuable resources for the development of marker-assisted selection in oil palm breeding. Keywords: Association mapping, Elaeis guineensis, Elaeis oleifera, genotyping-by-sequencing, plant architecture, yield.

scholarly journals De Novo Sequencing and High-Contiguity Genome Assembly of Moniezia expansa Reveals Its Specific Fatty Acid Metabolism and Reproductive Stem Cell Regulatory Network

2021 ◽  
Vol 11 ◽  
Author(s):  
Yi Liu ◽  
Zhengrong Wang ◽  
Wanlong Huang ◽  
Shuai Pang ◽  
Lingxiao Qian ◽  
...  
Keyword(s):  
Stem Cell ◽  
Fatty Acid ◽  
Fatty Acid Metabolism ◽  
Genome Assembly ◽  
Regulatory Network ◽  
Acid Metabolism ◽  
Economic Losses ◽  
High Fecundity ◽  
High Body ◽  
Moniezia Expansa

Moniezia expansa (M. expansa) parasitizes the small intestine of sheep and causes inhibited growth and development or even death. Being globally distributed, it causes considerable economic losses to the animal husbandry industry. Here, using Illumina, PacBio and BioNano techniques, we obtain a high-quality genome assembly of M. expansa, which has a total length of 142 Mb, a scaffold N50 length of 7.27 Mb and 8,104 coding genes. M. expansa has a very high body fat content and a specific type of fatty acid metabolism. It cannot synthesize any lipids due to the loss of some key genes involved in fatty acid synthesis, and it may can metabolize most lipids via the relatively complete fatty acid β-oxidation pathway. The M. expansa genome encodes multiple lipid transporters and lipid binding proteins that enable the utilization of lipids in the host intestinal fluid. Although many of its systems are degraded (with the loss of homeobox genes), its reproductive system is well developed. PL10, AGO, Nanos and Pumilio compose a reproductive stem cell regulatory network. The results suggest that the high body lipid content of M. expansa provides an energy source supporting the high fecundity of this parasite. Our study provides insight into host interaction, adaptation, nutrient acquisition, strobilization, and reproduction in this parasite and this is also the first genome published in Anoplocephalidae.

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