Populus alba x Populus tremula var. glandulosa
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1221106 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR32279255_1.fastq.gz | Fastqsanger.gz | |||
| SRR32279255_2.fastq.gz | Fastqsanger.gz | |||
| SRR32279256_1.fastq.gz | Fastqsanger.gz | |||
| SRR32279256_2.fastq.gz | Fastqsanger.gz | |||
| SRR32279257_1.fastq.gz | Fastqsanger.gz |
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Project description:To obtain genes expression in different parts of 84k poplar stems, transcriptome sequencing was performed using Illumina Novaseq 6000 second-generation sequencing platform from Shanghai BIOZERON Co. Ltd (www.biozeron.com). Selecte three stem segments of plants REPEAT 1, 2 and 3 with good and similar growth to use: 2nd-3rd internodes (poplar stem top: PST1, PST2, PST3); 9th-10th internodes (poplar stem middle: PSM1, PSM2, PSM3); 14th-15th internodes (poplar stem bottom: PSB1, PSB2, PSB3). [Or the three repeating organisms are also called poplar A, B, C. From top to bottom, the three parts of the stem are also called stem 1, 2, 3.]
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Project description:Poplar 84K (Populus alba x P. tremula var. glandulosa) is a fast-growing poplar hybrid. Originated in South Korea, this hybrid has been extensively cultivated in northern China. Due to the economic and ecological importance of this hybrid and high transformability, we now report the de novo sequencing and assembly of a male individual of poplar 84K using PacBio and Hi-C technologies. The final reference nuclear genome (747.5 Mb) has a contig N50 size of 1.99 Mb and a scaffold N50 size of 19.6 Mb. Complete chloroplast and mitochondrial genomes were also assembled from the sequencing data. Based on similarities to the genomes of P. alba var. pyramidalis and P. tremula, we were able to identify two subgenomes, representing 356 Mb from P. alba (subgenome A) and 354 Mb from P. tremula var. glandulosa (subgenome G). The phased assembly allowed us to detect the transcriptional bias between the two subgenomes, and we found that the subgenome from P. tremula displayed dominant expression in both 84K and another widely used hybrid, P. tremula x P. alba. This high-quality poplar 84K genome will be a valuable resource for poplar breeding and for molecular biology studies.
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Project description:Here we applied a novel approach to isolate nuclei from complex plant tissues (https://doi.org/10.1371/journal.pone.0251149), to dissect the transcriptome profiling of the hybrid poplar (Populus tremula × alba) vegetative shoot apex at single-cell resolution.
2022-10-04 | GSE190649 | GEO
Project description:Plants have evolved defense mechanisms to overcome unfavorable climatic conditions. The growth and development of plants are regulated in response to environmental stress. In this study, we investigated the molecular and physiological characteristics of a novel gene PagSAP11 in hybrid poplar (Populus alba × Populus tremula var. glandulosa) under drought stress. PagSAP11, a stress-associated protein (SAP) family gene, encodes a putative protein containing an A20 and AN1 zinc-finger domain at its N- and C-termini, respectively. Knockdown of PagSAP11 transgenic poplars (SAP11-Ri) enhanced their tolerance to drought stress compared with wild type plants. Moreover, the RNAi lines showed increased branching of lateral shoots that led to a gain in fresh weight, even when grown in the living modified organism (LMO) field. In SAP11-Ri transgenic plants, the expression levels of genes involved in axillary bud outgrowth and cell proliferation such as DML10, CYP707A and RAX were increased while the DRM gene which involved in bud dormancy was down-regulated. Taken together, these results indicate that PagSAP11 represents a promising candidate gene for engineering trees with improved stress tolerance and growth during unfavorable conditions.
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Project description:Poplar 84 K (Populus alba x P. tremula var. glandulosa) is a good resource for genetic engineering due to its rapid growth and wide adaptability, and it is also an excellent ornamental tree species. In this study, we used 84 K plantlets grown in the nitrogen-limited medium as experimental materials to explore the molecular mechanism in 84 K leaves under nitrogen deficiency. A total of 5,868 differentially expressed genes (DEGs) were identified using the transcriptional information from RNA-seq data. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment results revealed that the DEGs were mainly involved in energy metabolism and anthocyanin biosynthesis. We then identified differentially expressed transcription factors (TFs) and constructed TF centered gene co-expression networks for chlorophyll and anthocyanin biosynthesis pathway genes. Twenty potential regulators were finally identified. We speculated the transcription factors that control the pigmentation in leaves with the MYB-bHLH-WD40 (MBW) pigment regulatory model. Such identification will clarify the genetic basis of the secondary metabolism in 84 K, and being a source of candidate genes for future plant genetic engineering. Our work broadens the researchers' understanding of the regulation of anthocyanin synthesis in trees and provides new perspectives for ornamental 84 K poplar breeding.Supplementary informationThe online version contains supplementary material available at 10.1007/s12298-021-01012-3.
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Project description:Microarray technology was used to assess transcriptome changes in poplar (Populus alba L.) under a realistic simulation of increased UV-B radiation. Plants were UV-Bbe (UV-B biologically effective radiation) supplemented with a dose of 6 kJ/m2/day for 12 hours per day and allowed to recover during the night. Poplar plants were UV-B treated using a refined controlled environment able to guarantee a realistic simulation of natural conditions, especially for light parameters such as presence of background UV-B radiation for control plants and balanced PAR/UV-A/UV-B ratio. A time course experiment was planned to look both at the rapid and delayed response of poplar to UVB; two time points after 3 h (T3h) and 30 h (6th hour of the third day of treatment, T30h) were considered. 4 independent biological replicates were analysed for each time point. Competitive hybridisations were carried out using the PICME 28K microarray. Keywords: Time course experiment, stress response
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