Evidence map›Paper›PMID 25307066›Full record

ArticleMolecular genetics and genomics : MGG2015

De novo transcriptome characterization of Lilium 'Sorbonne' and key enzymes related to the flavonoid biosynthesis.

Ming-fang Zhang, Ling-min Jiang, Dong-mei Zhang, Gui-xia Jia

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

21 citing papers in PubMed.

  1. Article
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  6. Metabolic and Transcriptomic Profiling ofFrontiers in plant science · 2021
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  8. Article
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  11. De Novo Transcriptome Sequencing of the Deep-Sea-Derived FungusInternational journal of molecular sciences · 2018
    Article
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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

4 authors.

Ming-fang ZhangBeijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture and College of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China, qioki1987@163.com.
Ling-min Jiang
Dong-mei Zhang
Gui-xia Jia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lily is an important cut-flower and bulb crop in the commercial market. Here, transcriptome profiling of Lilium 'Sorbonne' was conducted through de novo sequencing based on Illumina platform. This research aims at revealing basic information and data that can be used for applied purposes especially the molecular regulatory information on flower color formation in lily. In total, 36,920,680 short reads which corresponded to 3.32 GB of total nucleotides, were produced through transcriptome sequencing. These reads were assembled into 39,636 Unigenes, of which 30,986 were annotated in Nr, Nt, Swiss-Prot, KEGG, COG, GO databases. Based on the three public protein databases, a total of 32,601 coding sequences were obtained. Meanwhile, 19,242 Unigenes were assigned to 128 KEGG pathways. Those with the greatest representation by unique sequences were for ''metabolic pathways'' (5,406 counts, 28.09 %). Our transcriptome revealed 156 Unigenes that encode key enzymes in the flavonoid biosynthesis pathway including CHS, CHI, F3H, FLS, DFR, etc. MISA software identified 2,762 simple sequence repeats, from which 1,975 primers pairs were designed. Over 2,762 motifs were identified, of which the most frequent was AG/CT (659, 23.86 %), followed by A/T (615, 22.27 %) and CCG/CGG (416, 15.06 %). Based on the results, we believe that the color formation of the Lilium 'Sorbonne' flower was mainly controlled by the flavonoid biosynthesis pathway. Additionally, this research provides initial genetic resources that will be valuable to the lily community for other molecular biology research, and the SSRs will facilitate marker-assisted selection in lily breeding.

Indexed as

Biosynthetic PathwaysDatabases, GeneticDNA, ComplementaryFlavonoidsGenetic MarkersLiliumMicrosatellite RepeatsMolecular Sequence AnnotationNucleotide MotifsOpen Reading FramesSequence Analysis, DNASoftwareTranscriptomeDNA, ComplementaryFlavonoidsGenetic Markers

Identifiers

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Registered trials

None linked

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.