Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1285108 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Roots and needles were harvested from 6 juvenile Pinus radiata seedlings (3 biological pool constituted by 2 seedlings each). Needles and floral buds were harvested from 6 adult Pinus radiata plants (3 biological pools constituted by 2 plants each).
2025-05-16 | PXD047869 | Pride
Project description:Spanish fir (Abies pinsapo) is a relict tree that is found in southern Spain mountains. In natural conditions two phenotypes can be observed, trees with blue needles and trees with green needles. The aim of the present work is to elucidate at transcriptomic levels the possible causes of the differences between these phenotypes.
2021-11-20 | GSE189122 | GEO
Project description:Transcriptional profiling of Pinus pinaster adult needles in a complete year. The needles were isolated by year emergence (whorl) in four groups. 0 (2012), 1 (2011), 2 (2010) and 3 (2009). The samples were harvested at 1245 m of altitude at Los Reales de Sierra Bermeja (Spain) (30S X:303.095 Y:4.039.618) one time per month.
2015-02-27 | GSE55868 | GEO
Project description:Transcriptome analysis of small RNA was performed using pollen and embryonic callus, and vegetative tissues, needles of Picea abies to address differences in small RNA profiles between reproductive tissues and vegetative tissues in gymnosperm.
2019-12-21 | GSE129413 | GEO
Project description:The transcriptome of needles from plants propagated by cuttings and cultured in the same condictions at SERIDA’s greenhouse at Villaviciosa (Asturias, Spain) were analyzed.
2015-11-04 | GSE61801 | GEO
Project description:The experiment consists in the comparison of 2 tissues: secondary xylem vs needles.
2008-07-14 | E-MEXP-1460 | biostudies-arrayexpress
Project description:The aim of the project is to estimate the relative protein content of photosynthetic proteins in thylakoids isolated from Arabidopsis leaves and spruce needles grown at different light intensity (high, normal, low).
2022-08-18 | PXD029868 | Pride
Project description:Seasonal cycles of light, temperature and precipitation provide signals that set the timing of gene expression and growth for trees. Conifers possess evergreen needles to sense and respond to year-round external signals. We monitored gene activity in Douglas-fir needles for one year and found that gene expression is dependent on light at daily and annual scales. The majority of rhythmic genes achieve maximum activity +/- 2 hours from sunrise and sunset, and +/- 20 days from the winter and summer solstices. Remarkably, the dormant period is characterized by significant gene activation, with thousands of genes achieving peak activity. This study identifies annual gene rhythms in conifers needles, and provides a framework for identifying genes that respond to other environmental cues. Background: Perennial growth in plants is the product of interdependent cycles of daily and annual stimuli that induce cycles of growth and dormancy. In conifers, needles are the key perennial organ that integrates daily and seasonal signals from light, temperature, and water availability. To understand the relationship between seasonal rhythms and seasonal gene expression responses in conifers, we examined diurnal and circannual needle mRNA accumulation in Douglas-fir (Pseudotsuga menziesii) needles at diurnal and circannual scales. Using mRNA sequencing, we sampled 6.1x10^9 microreads from 19 trees and constructed a de novo pan-transcriptome reference that includes 173,882 tree-derived transcripts. Using this reference, we mapped RNA-Seq reads from 179 samples that capture daily, seasonal, and annual variation. Results: We identified 12,042 diurnally-cyclic transcripts, 9,299 of which showed homology to annotated genes from other plant genomes, including angiosperm core clock genes. Annual analysis revealed 21,225 annually-cyclic transcripts, 17,335 of which showed homology to annotated genes from other plant genomes. The timing of maximum gene expression is associated with light quality at diurnal and photoperiod at annual scales, with two-thirds of transcripts reaching maximum expression +/- 2 hours from sunrise and sunset, and half reaching maximum expression +/- 20 days from winter and summer solstices. Comparison to published microarray-based gene expression studies in spruce (Picea) show that the rank order of expression for 760 putatively orthologous genes was significantly preserved, highlighting the generality of our findings. Conclusions: This finding highlights the extensive annual and seasonal transcriptome variability demonstrated in conifer needles. At these temporal scales, 29% of expressed transcripts showed a significant diurnal rhythm, and 58.7% showed a significant circannual rhythm. Remarkably, thousands of genes reach their annual peak activity during winter dormancy, a time of metabolic stasis. Photoperiod appears to be a dominant driver of annual transcription patterns in Douglas-fir, and these results may be general for predicting rhythmic transcription patterns in emerging gymnosperm models.
2017-01-04 | GSE93067 | GEO
Project description:Seasonal cycles of light, temperature and precipitation provide signals that set the timing of gene expression and growth for trees. Conifers possess evergreen needles to sense and respond to year-round external signals. We monitored gene activity in Douglas-fir needles for one year and found that gene expression is dependent on light at daily and annual scales. The majority of rhythmic genes achieve maximum activity +/- 2 hours from sunrise and sunset, and +/- 20 days from the winter and summer solstices. Remarkably, the dormant period is characterized by significant gene activation, with thousands of genes achieving peak activity. This study identifies annual gene rhythms in conifers needles, and provides a framework for identifying genes that respond to other environmental cues. Background: Perennial growth in plants is the product of interdependent cycles of daily and annual stimuli that induce cycles of growth and dormancy. In conifers, needles are the key perennial organ that integrates daily and seasonal signals from light, temperature, and water availability. To understand the relationship between seasonal rhythms and seasonal gene expression responses in conifers, we examined diurnal and circannual needle mRNA accumulation in Douglas-fir (Pseudotsuga menziesii) needles at diurnal and circannual scales. Using mRNA sequencing, we sampled 6.1x10^9 microreads from 19 trees and constructed a de novo pan-transcriptome reference that includes 173,882 tree-derived transcripts. Using this reference, we mapped RNA-Seq reads from 179 samples that capture daily, seasonal, and annual variation. Results: We identified 12,042 diurnally-cyclic transcripts, 9,299 of which showed homology to annotated genes from other plant genomes, including angiosperm core clock genes. Annual analysis revealed 21,225 annually-cyclic transcripts, 17,335 of which showed homology to annotated genes from other plant genomes. The timing of maximum gene expression is associated with light quality at diurnal and photoperiod at annual scales, with two-thirds of transcripts reaching maximum expression +/- 2 hours from sunrise and sunset, and half reaching maximum expression +/- 20 days from winter and summer solstices. Comparison to published microarray-based gene expression studies in spruce (Picea) show that the rank order of expression for 760 putatively orthologous genes was significantly preserved, highlighting the generality of our findings. Conclusions: This finding highlights the extensive annual and seasonal transcriptome variability demonstrated in conifer needles. At these temporal scales, 29% of expressed transcripts showed a significant diurnal rhythm, and 58.7% showed a significant circannual rhythm. Remarkably, thousands of genes reach their annual peak activity during winter dormancy, a time of metabolic stasis. Photoperiod appears to be a dominant driver of annual transcription patterns in Douglas-fir, and these results may be general for predicting rhythmic transcription patterns in emerging gymnosperm models.
2017-01-04 | GSE93066 | GEO