Evidence map›Paper›PMID 29892944›Full record

ArticleGenes & genomics2018

De novo transcriptome analysis of Rhododendron molle G. Don flowers by Illumina sequencing.

Zheng Xiao, Jiale Su, Xiaobo Sun, Chang Li, Lisi He, Shangping Cheng, Xiaoqing Liu

Abstract read
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In one paragraph

Article in Genes & genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. A review ofFrontiers in pharmacology · 2026
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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

7 authors.

Zheng XiaoInstitute of Leisure Agriculture, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Jiale SuInstitute of Leisure Agriculture, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Xiaobo SunInstitute of Leisure Agriculture, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Chang LiInstitute of Leisure Agriculture, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Lisi HeInstitute of Leisure Agriculture, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Shangping ChengInstitute of Leisure Agriculture, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Xiaoqing LiuInstitute of Leisure Agriculture, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China. bjbami@sina.com.

Funding

Jiangsu Agricultural Sciences Innovation Fund CX(16)1005Jiangsu Forestry Sciences Innovation Fund lykj[2017]48Jiangsu Natural Science Foundation BK20150548National Natural Science Foundation of China 31600570National Science and Technology Program 2013BAD01B070403
6 · The paper itself

Abstract

Rhododendron molle G. Don occupies an important phylogenetic node in the genus rhododendron with unique yellow flower and medicinal functions. However, only limited genetic resources and their genome information are available for the generation of rhododendron flowers. The next generation sequencing technologies enables generation of genomic resources in a short time and at a minimal cost, and therefore provide a turning point for rhododendron research. Our goal is to use the genetic information to facilitate the relevant research on flowering and flower color formation in R. molle. In total, 66,026 unigenes were identified, among which 31,298 were annotated in the NCBI non-redundant protein database and 22,410 were annotated in the Swiss-Prot database. Of these annotated unigenes, 9490 and 18,680 unigenes were assigned to clusters of orthologous groups and gene ontology categories, respectively. A total of 7177 genes were mapped to 118 pathways using the Kyoto Encyclopedia of Genes and Genomes Pathway database. In addition, 8266 simple sequence repeats (SSRs) were detected, and these SSRs will undoubtedly benefit rhododendron breeding work. Metabolic pathway analysis revealed that 32 unigenes were predicted to be involved in carotenoid biosynthesis. Our transcriptome revealed 32 engines that encode key enzymes in the carotenoid biosynthesis pathway, including PSY, PDS, LCYB, LCYE, etc. The content of β-carotene was much higher than the other carotenoids throughout the flower development. It was consistent with the key genes expression level in the carotenoid biosynthesis pathway by the Illumina expression profile analysis and the qRT-PCR analysis. Our study identified genes associated with carotenoid biosynthesis in R. molle and provides a valuable resource for understanding the flowering and flower color formation mechanisms in R. molle.

Indexed as

CarotenoidsFlowersGene Expression ProfilingGene OntologyGenes, PlantHigh-Throughput Nucleotide SequencingMetabolic Networks and PathwaysMicrosatellite RepeatsMolecular Sequence AnnotationPhylogenyRhododendronSequence Analysis, DNATranscriptomeCarotenoidsCarotenoid biosynthesisRhododendron molleSimple sequence repeatsUnigenes

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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.