Libin Zhang, Yan Long, Chunhua Fu, Jun Xiang, Jianping Gan, Gang Wu, Haibo Jia, Longjiang Yu, Maoteng Li
Abstract
The perennial and evergreen twining vine, Lonicera japonica is an important herbal medicine with great economic value. However, gene expression information for flowers and leaves of L. japonica remains elusive, which greatly impedes functional genomics research on this species. In this study, transcriptome profiles from leaves and flowers of L. japonica were examined using next-generation sequencing technology. A total of 239.41 million clean reads were used for de novo assembly with Trinity software, which generated 150,523 unigenes with N50 containing 947 bp. All the unigenes were annotated using Nr, SwissProt, COGs (Clusters of Orthologous Groups), GO (Gene Ontology), and KEGG (Kyoto Encyclopedia of Genes and Genomes) databases. A total of 35,327 differentially expressed genes (DEGs, P ≤ 0.05) between leaves and flowers were detected. Among them, a total of 6602 DEGs were assigned with important biological processes including "Metabolic process," "Response to stimulus," "Cellular process," and etc. KEGG analysis showed that three possible enzymes involved in the biosynthesis of chlorogenic acid were up-regulated in flowers. Furthermore, the TF-based regulation network in L. japonica identified three differentially expressed transcription factors between leaves and flowers, suggesting distinct regulatory roles in L. japonica. Taken together, this study has provided a global picture of differential gene expression patterns between leaves and flowers in L japonica, providing a useful genomic resource that can also be used for functional genomics research on L. japonica in the future.
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 October 2022.
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#13,626,156
of 23,515,383 outputs
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#6,346
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#148,705
of 306,671 outputs
Outputs of similar age from Frontiers in Plant Science
#121
of 534 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,530 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 68% of its peers.
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We're also able to compare this research output to 534 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.
