Evidence map›Paper›PMID 27382413›Full record

ArticleBiotechnology for biofuels2016

Transcriptome profiling of Camelina sativa to identify genes involved in triacylglycerol biosynthesis and accumulation in the developing seeds.

Hesham M Abdullah, Parisa Akbari, Bibin Paulose, Danny Schnell, Weipeng Qi, Yeonhwa Park, Ashwani Pareek, Om Parkash Dhankher

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

41 citing papers in PubMed, 74 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Hesham M AbdullahStockbridge School of Agriculture, University of Massachusetts Amherst, Amherst, MA 01003 USA ; Biotechnology Department, Faculty of Agriculture, Al-Azhar University, Cairo, 11651 Egypt.
Parisa AkbariStockbridge School of Agriculture, University of Massachusetts Amherst, Amherst, MA 01003 USA.
Bibin PauloseDepartment of Plant Biology, Michigan State University, East Lansing, MI 48824 USA.
Danny SchnellDepartment of Plant Biology, Michigan State University, East Lansing, MI 48824 USA.
Weipeng QiDepartment of Food Science, University of Massachusetts Amherst, Amherst, MA 01003 USA.
Yeonhwa ParkDepartment of Food Science, University of Massachusetts Amherst, Amherst, MA 01003 USA.
Ashwani PareekStress Physiology and Molecular Biology Laboratory, School of Life Science, Jawaharlal Nehru University, New Delhi, 100067 India.
Om Parkash DhankherStockbridge School of Agriculture, University of Massachusetts Amherst, Amherst, MA 01003 USA.ORCID 0000-0003-0737-6783
University of Massachusetts Amherst · USMichigan State University · USJawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCamelina sativa is an emerging dedicated oilseed crop designed for biofuel and biodiesel applications as well as a source for edible and general-purpose oils. Such valuable oilseed crop is subjected to plant breeding programs and is suggested for large-scale production of better seed and oil quality. To accomplish this objective and to further enhance its oil content, a better understanding of lipid metabolism at the molecular level in this plant is critical. Here, we applied tissue transcriptomics and lipid composition analysis to identify and profile the genes and gene networks associated with triacylglycerol (TAG) biosynthesis, and to investigate how those genes are interacting to determine the quantity and quality of Camelina oil during seed development.

resultsOur Camelina transcriptome data analysis revealed an approximate of 57,854 and 57,973 genes actively expressing in developing seeds (RPKM ≥ 0.1) at 10-15 (Cs-14) and 16-21 (Cs-21) days after flowering (DAF), respectively. Of these, 7932 genes showed temporal and differential gene expression during the seed development (log2 fold change ≥1.5 or ≤-1.5; P ≤ 0.05). The differentially expressed genes (DEGs) were annotated and were found to be involved in distinct functional categories and metabolic pathways. Furthermore, performing quantitative real-time PCR for selected candidate genes associated with TAG biosynthesis validated RNA-seq data. Our results showed strong positive correlations between the expression abundance measured using both qPCR and RNA-Seq technologies. Furthermore, the analysis of fatty-acid content and composition revealed major changes throughout seed development, with the amount of oil accumulate rapidly at early mid seed development stages (from 16-28 DAF onwards), while no important changes were observed in the fatty-acid profile between seeds at 28 DAF and mature seeds.

conclusionsThis study is highly useful for understanding the regulation of TAG biosynthesis and identifying the rate-limiting steps in TAG pathways at seed development stages, providing a precise selection of candidate genes for developing Camelina varieties with improved seed and oil yields.

Indexed as

Camelina sativaFatty-acid profilingLipid metabolismTranscriptome profilingTriacylglycerol biosynthesis

Identifiers

PMID27382413
PMCPMC4932711
OpenAlexW2473874951

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.