Using lipidomics to reveal details of lipid accumulation in developing Siberian apricot (Prunus sibirica L.) seed kernels

Mai, Yiting; Huo, Kaisen; Yu, Haiyan; Zhou, Nan; Shui, Lanya; Liu, Yang; Wang, Nenglong; Zhang, Chengxin; Niu, Jun; Wang, Libing

doi:10.21203/rs.2.20807/v1

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…5b), and thus considered that C18:1 as the richest component in fruit oils may be mostly attributed to their differential coordinate transcripts. This was in line with previous results in different tissues of oil palm [57] and developing seeds of P. sibirica [58], and also be supported by high amount of C18:1 in fad2/3 double mutant soybean [59].…”

Section: Fa Flux Channeled Into De Novo Tag Assembly For High-quality...supporting

confidence: 93%

Evaluation of oil accumulation and biodiesel property of Lindera glauca fruits among different germplasms and revelation of high oil producing mechanism for developing biodiesel

Lin

Chen

Wang

et al. 2023

Biotechnol Biofuels

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Background Lindera glauca with rich resource and fruit oil has emerged as novel source of biodiesel in China, but different germplasms show a variation for fruit oil content and FA profile. To develop L. glauca fruit oils as biodiesel, a concurrent exploration of oil content, FA composition, biodiesel yield, fuel property and prediction model construction was conducted on the fruits from 8 plus germplasms to select superior genotype for ideal biodiesel production. Another vital focus was to highlight mechanism that govern the differences in oil content and FA profile of different germplasms. The cross-accessions comparisons associated with oil-synthesized gene transcriptional level and oil accumulative amount led to the identification of potential determinants (enzymes, transporters or transcription factors) and regulatory mechanisms responsible for high-quality oil accumulation. Results To select superior germplasm and unravel regulatory mechanism of high oil production for developing L. glauca fruit oils as biodiesel, 8 plus trees (accession LG01/02/03/04/05/06/07/08) with high-yield fruits were selected to evaluate the differences in oil content, FA profile, biodiesel yield and fuel property, and to construct fuel property prediction model, revealing a variation in the levels of fruit oil (45.12–60.95%), monounsaturated FA (52.43–78.46%) and polyunsaturated FA (17.69–38.73%), and biodiesel yield (80.12–98.71%) across different accessions. Of note, LG06 had a maximum yield of oil (60.95%) and biodiesel (98.71%), and ideal proportions of C18:1 (77.89%), C18:2 (14.16%) and C18:3 (1.55%), indicating that fruit oils from accession LG06 was the most suitable for high-quality biodiesel production. To highlight molecular mechanism that govern such differences in oil content and FA composition of different accessions, the quantitative relationship between oil-synthesized gene transcription and oil accumulative amount were conducted on different accessions to identify some vital determinants (enzymes, transporters or transcription factors) with a model of carbon metabolic regulatory for high-quality oil accumulation by an integrated analysis of our recent transcriptome data and qRT-PCR detection. Our findings may present strategies for developing L. glauca fruit oils as biodiesel feedstock and engineering its oil accumulation. Conclusions This is the first report on the cross-accessions evaluations of L. glauca fruit oils to determine ideal accession for producing ideal biodiesel, and the associations of oil accumulative amount with oil-synthesized gene transcription was performed to identify some crucial determinants (enzymes, transporters or transcription factors) with metabolic regulation model established for governing high oil production. Our finding may provide molecular basis for new strategies of developing biodiesel resource and engineering oil accumulation.

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Section: Fa Flux Channeled Into De Novo Tag Assembly For High-quality...supporting

confidence: 93%

Evaluation of oil accumulation and biodiesel property of Lindera glauca fruits among different germplasms and revelation of high oil producing mechanism for developing biodiesel

Lin

Chen

Wang

et al. 2023

Biotechnol Biofuels

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“…The species has ecological importance, widely used for wind and sand xation, as well as soil and water conservation (Yin et al 2019). Furthermore, P. sibirica seed kernel is high in oil (50%) that can be used to produce cooking oil, biodiesel fuel, surfactants, almond milk, skin care, and healthcare products (Mai et al 2020). The seeds are also an ingredient in traditional Chinese medicine (Yan et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Association mapping of major economic traits and exploration of elite alleles in Prunus sibirica

Wen

Chen

Sun

et al. 2022

Preprint

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Exploring elite alleles based on association analysis of economic traits will promote the breeding, development, and utilization of Prunus sibirica resources. This study used 113 P. sibirica clones with diverse provenances to perform association mapping of 20 economic traits based on 149 pairs of highly polymorphic simple sequence repeat (SSR) markers. Population structure analysis split the clones into three subgroups. General linear model (GLM) and mixed linear model (MLM) identified 117 SSR loci associated with 20 P. sibirica economic traits, specifically fruit (62 loci), nuclear (69), and kernel (46) traits. Phenotypic variation in these three sets of traits ranged 8.93–82.12% (GLM) or 0.23–84.82% (MLM), 10.96–56.65% (GLM) or 0.17–52.54% (MLM), and 5.17–59.41% (GLM) or 4.86–59.89% (MLM), respectively. Of the 117 marker SSR loci, 35 were simultaneously associated with two or more economic traits. In addition, phenotypic effects analysis identified 1842 elite alleles and seven typical materials related to key economic traits. We then designed elite parental combinations through crossing the typical materials. In conclusion, our study detected alleles and plant materials that allowed the identification of clones expressing desired traits of interest. These findings can be used for improved, targeted breeding of P. sibirica through marker-assisted selection.

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Mining for genes related to pistil abortion in Prunus sibirica L.

Chen¹,

Zhang²,

Liu³

et al. 2022

PeerJ

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In Prunus sibirica, the phenomenon of pistil abortion is very common and seriously affects its fruit quality and yield; however, the molecular mechanisms of pistil abortion remains unclear. In this study, we identified differentially expressed genes (DEGs) and pathways associated with pistil abortion using transcriptome sequencing. After comparative analysis, a total of 1,950 DEGs were identified, of which 1,000 were upregulated, and 950 were downregulated. Gene Ontology (GO) functional enrichment analysis of DEGs showed that metabolic process, cellular process, single-organism process, membrane, membrane part, cell, binding, catalytic activity, and transporter activity contained the largest number of DEGs. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that the plant-pathogen interaction, starch and sucrose metabolism, and plant hormone signal transduction pathways contained the largest number of DEGs. The NAC, bHLH, and B3 transcription factor families contained the largest number of DEGs. qRT-PCR detection confirmed that the gene expression levels were consistent with the transcriptome sequencing results. This study provides a theoretical basis and scientific basis for further research on the molecular mechanisms of P. sibirica pistil abortion.

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Using lipidomics to reveal details of lipid accumulation in developing Siberian apricot (Prunus sibirica L.) seed kernels

Cited by 3 publications

References 18 publications

Evaluation of oil accumulation and biodiesel property of Lindera glauca fruits among different germplasms and revelation of high oil producing mechanism for developing biodiesel

Evaluation of oil accumulation and biodiesel property of Lindera glauca fruits among different germplasms and revelation of high oil producing mechanism for developing biodiesel

Association mapping of major economic traits and exploration of elite alleles in Prunus sibirica

Mining for genes related to pistil abortion in Prunus sibirica L.

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