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Phloem

Phloem is a complex tissue within vascular plants responsible for the transport of organic nutrients, primarily sugars, from the leaves to other parts of the plant.
It is composed of sieve tubes, companion cells, and other supporting cells.
Phloem plays a crucial role in the distribution of photosynthates and other essential molecules throughout the plant, supporting growth, development, and survival.
Understanding the structure and function of phloem is key to optimizing plant productivity and resilience.
Reserch in this area can lead to important advancements in agriculture, forestry, and the study of plant biology.

Most cited protocols related to «Phloem»

Raw EPG data recorded by EPG Systems Stylet+d was manually annotated using EPG Systems Stylet+a software v01.30 (13-04-2016)/B27. Annotated waveforms were non-probing (np), pathway (C), phloem salivation (E1), phloem ingestion (E2), derailed stylet mechanics (F), xylem feeding (G) and intracellular puncture—potential drop (pd). Waveforms were identified based on the waveform pattern, amplitude, relative voltage level, R/emf origin, frequency, and the context of the waveform as described in the previous EPG studies of B. tabaci (Jiang et al., 1999 (link); Johnson and Walker, 1999 (link); Liu et al., 2012 (link); Civolani et al., 2014 (link); Zhou, 2014 ; Prado Maluta et al., 2017 (link)).
Annotation files were then directly passed to a modified version of the Ebert 3.0 program in SAS Enterprise Guide 7.1, SAS 9.4 statistical software (SAS Institute, Cary, NC, USA) for further analysis which produces the same parameters as the popular Sarria excel workbook (Sarria et al., 2009 (link); Ebert et al., 2015 (link)). The modified version is provided in the Supplementary Material. The modified version utilizes the series of BoxCox power transformation to determine the best possible transformation, as implemented in the PROC TRANSREG statement (Osborne, 2010 ). The results of this power transformation were inspected visually using histogram and Q-Q plots. For certain parameters, power transformations are unsuitable as they cannot approximate the necessary S-curve. Therefore, the Arcsine transformation was applied before the BoxCox transformation if this was necessary. The modification of the original Ebert 3.0 program also utilizes a macro script developed by Piepho (2012 ) that mitigates the case when varying standard error of a difference causes the traditional algorithm to fail to represent all significant differences of the means using the letter grouping. The Piepho algorithm solves the problem as it is able to generate a discontinous line display (Piepho, 2012 ). As a consequence, seeing discontinous assigned letters such as “ac” or “acd” is not uncommon (Piepho, 2014 (link); Poosapati et al., 2014 (link); Santos et al., 2015 (link); McCaghey et al., 2017 (link)).
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Publication 2019
Genes, vpr Mechanics Phloem Protoplasm Punctures Sialorrhea Walkers Xylem
The collection of phloem and xylem saps from wheat seedlings was performed according to the method of Hazama et al. (2015) (link). Treated and untreated seedlings of 27 days cut on surfaces of the stems near the petioles of mature leaves with a razor blade and exuded drops (excluding the first drop) collected as phloem sap using micropipettes. Samples of phloem sap were stored in eppendorf previously washed with 0.1 M HNO3 for 2 days and then with double distilled water three times to eliminate metals. The samples were stored at -20°C until analysis.
After the collection of phloem sap, stems were cut at 2 cm above the interface of the shoot and root, and xylem sap exudates were collected for 30 min using micropipettes. The measured pH of the xylem sap was 6.0–6.4. Samples of xylem sap were also stored at -20°C until analysis.
For the estimation of Zn in phloem and xylem saps above, the described procedure (for Zn) was followed.
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Publication 2017
Exudate Metals Phloem Plant Roots Seedlings SKAP2 protein, human Stem, Plant Triticum aestivum Xylem
Phloem, mature leaves, flowers, and fruits at different stages (expanding fruit, half-red, and full-red) of the ‘Junzao’ cultivar and the wild jujube ‘Qingjiansuanzao’ (8 years old) were collected in 2013 and 2014, respectively. All the samples were immediately frozen in liquid nitrogen. Total RNAs were isolated using a modified CTAB method and then treated with RNase-free DNase I (Promega, USA). First-strand cDNAs were synthesized using a Clontech kit. RNA-Seq libraries were constructed using the NEB Next UltraTM RNA Library Prep Kit (NEB, USA) and sequenced on a HiSeq 2000/2500 system. RNA-Seq reads were mapped to the ‘Junzao’ genome using TopHat [38 (link)]. The total numbers of aligned reads (read counts) for each gene were normalized to the reads per kilobase exon model per million mapped reads (RPKM) [66 (link)]. DESeq [67 (link)] was used to identify differentially expressed genes.
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Publication 2016
Cetrimonium Bromide Deoxyribonuclease I DNA, Complementary DNA Library Endoribonucleases Exons Flowers Freezing Fruit Genes Jujube Nitrogen Phloem Promega RNA-Seq
All of the libraries were comprised of a single organ or tissue, and the majority of libraries were developed by pooling samples collected at different points along a time course, along the diurnal cycle, at several stages of differentiation or from different treatments (Supplemental data 2 and [58 ]). Treatments known to affect plant physiology were applied to saplings (young trees) aiming to stimulate different transcript profiles. These treatments included N and P fertilization as well as stem girdling. Three libraries were made from whole root systems of very young spruce seedlings, produced through tissue culture, grown in sterile growth media. Most of the libraries were derived from one genotype (pg-653), however four libraries were comprised of two or more genotypes. The secondary xylem collected from saplings (library GQ007) was comprised of the entire sampling of woody tissues collected from seedlings; however, only the differentiating partly-lignified secondary xylem was collected from mature trees as previously described [16 (link)]. The secondary xylem tissues were collected by first gently separating the bark from the underlying wood and scraping the soft tissues inward of the cambial area. The secondary phloem of mature trees was collected by gently scrapping the inner surface of the bark with a scalpel blade. All tissue samples were frozen in liquid nitrogen and then stored at -80°C until RNA extraction immediately upon removal from the tree, seedling or tissue culture vessel.
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Publication 2005
Adrenal Cortex Blood Vessel Cambium cDNA Library Culture Media Fertilization Freezing Genotype Nitrogen Phloem Picea Plant Physiological Phenomena Plant Roots Stem, Plant Sterility, Reproductive Tissues Trees Xylem
We used the number of ESTs representing specific transcripts isolated from 19 rice tissue sources (i.e. callus, suspension cells, seedling, leaf, shoot, root, stem, sheath, phloem, panicle, flower, anther, pistil, endosperm, immature seed, mixed tissues, mature seed, whole plant, and unknown samples) to estimate gene expression levels in the different tissues. The EST evidence was analyzed using the Program to Assemble Spliced Alignments (PASA) software, which utilizes a number of alignment programs to maximally align transcripts to the genome as introduced by Haas et al. [83] (link).
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Publication 2008
Callosities Cells Endosperm Expressed Sequence Tags Gene Expression Genome Oryza sativa Phloem Pistil Plant Leaves Plant Roots Plants Stem, Plant Tissues

Most recents protocols related to «Phloem»

Transcriptome data of 9 samples comprising phloem, root and leaf tissues as well as, developmental periods and growth condition (hydroponics or terrestrial) obtained from Genome Sequence Archive database were used. Transcript abundance of the BnGR2R3-MYB genes was calculated as fragments per kilobase of exon model per million mapped reads (FPKM). Log2(FPKM +1) values were displayed according to the color code. Detailed FPKM values were listed in Supplementary Table S7.
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Publication 2023
Exons Genes, myb Genome Growth Disorders Phloem Plant Leaves Plant Roots Tissues Transcriptome
Phloem and xylem tissue were homogenised in liquid nitrogen with mortar and pestle and then stored at at -80 °C for further RNA or protein extraction. 100 mg of the homogenized tissue was placed in a frozen 2 mL tube containing a ceramic bead and ground for 60 s at a frequency of 26 1/S with a TissueLyser II (Qiagen, Cat. 85,300). Total RNA was isolated using RNeasy Plant Mini kit (Qiagen, Cat. 74,903) with DNase treatments (RNase-Free DNase Set cat. No. 79254) according manufacturer’s instructions. The RNA was quantified using the Qubit 4 fluorometer (ThermoFisher) with the Qubit RNA BR Assay Kit (ThermoFisher, Cat. Q10211). RNA integrity (RIN) was tested with the Agilent RNA 6000 Nano Kit (Agilent, Cat. 5067–1511) on a 2100 Bioanalyzer instrument (Agilent, Cat. G2939BA) and all samples used for RNA-Seq had a RIN greater than 7.
The Illumina NeoPrep Library Prep System was used to prepare samples from 50 ng of total RNA extraction (Illumina, Documents: 15049720v01, 15049725v03, 15059581v02). TruSeq Standard mRNA Library Prep (Illumina, NP-202–1001) was used with the default indexes adapters A to P. At the last step, each processed sample collected from the library card was analysed for library quality check using a DNA 1000 chip on the 2100 Bioanalyzer (Agilent, Cat. 5067–1504). Finally, each sample was normalized manually at 10 nM and then pooled (5 μL × 16 samples) in one library for the Illumina sequencing platform.
The libraries composed of the 16 samples were sequenced into two lines in Rapid-Run Mode (16 samples/line) in a single flow cell for paired-end 100 bp with an Illumina HiSeq 2500 sequencing system. The samples were sequenced at the Centre Hospitalier de l'Université Laval sequencing platform (Quebec City, Canada).
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Publication 2023
Biological Assay BP 100 Cells Deoxyribonucleases DNA Chips DNA Library Endoribonucleases Freezing Nitrogen Phloem Plants Proteins RNA, Messenger RNA-Seq Tissues Xylem
Proteins were extracted from phloem and xylem samples and prepared for proteomic analysis using the following protocol. 200 mg of the homogenized phloem and tissue samples were added to 500 µL of extraction buffer (0.5% sodium deoxycholate, 50 mM 1,4 dithiotreitol, 1 µM Pepstatin (Thermo Fisher Scientific), 1X Complete Mini Roche (Sigma Aldrich) in 50 mM ammonium bicarbonate) was added to each sample. Mechanical extraction was then performed using a Mixer mill MM400 (Retsh) with three inox beads of two cycles of 2 min at 30 Hz, turning the tube racks 180° between the cycles. Samples were centrifugated at 10 000 × g for 15 min at 4 °C to remove pellet debris. The supernatant was then filtered using a 0.45 µm Centrifugal Filter Membrane (Millipore) at 12 000 × g. Five volumes of acetone at -20 °C was added to the filtered sample and incubated at -20 °C overnight. After centrifugation at 16 000 × g for 15 min at 4 °C, the major part of the supernatant was discarded and the remaining acetone was left evaporated under the fume hood. The pellet was then resuspended with 50µL of 50 mM ammonium bicarbonate and protein concentration was measured using Bradford assay.
For each sample, a volume corresponding to 20 µg of proteins was used for subsequent analysis. Volumes were adjusted to 30 µL using 50 mM ammonium bicarbonate and sodium deoxycholate was added to a final concentration of 1%. The samples were heated at 95 °C for 5 min for protein denaturation. Cysteine disulfide bridges were reduced and alkylated using the following procedure. 1,4 dithiothreitol was added to a final concentration of 0.2 mM and incubated at 37 °C for 30 min. This was followed by the addition of iodoacetamide to a final concentration of 0.8 mM and incubated at 37 °C for 30 min in the dark.
Enzymatic digestion of the protein samples was initiated using 400 ng of trypsin enzyme (Promega), corresponding to an enzyme:protein ratio of 1:50, followed by an incubation at 37 °C overnight. Enzymatic digestion was stopped by acidification using 30µL of 3% acetonitrile, 1% trifluoroacetic acid, 0.5% acetic acid. This step also allowed the precipitation of sodium deoxycholate. Samples were finally centrifugated at 16 000 × g for 5 min and the supernatants were collected. The peptides resulting from trypsin digestion contained in these supernatants were purified on StageTips according to [33 (link)] using C18 Empore reverse phase. The samples were finally vacuum dried and stored at -20 °C prior to mass spectrometry analysis.
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Publication 2023
Acetic Acid Acetone acetonitrile ammonium bicarbonate Biological Assay Buffers Centrifugation Cystine Deoxycholic Acid, Monosodium Salt Digestion Dithiothreitol Empore Enzymes inosine dialdehyde Iodoacetamide Mass Spectrometry pepstatin Peptides Phloem Promega Protein Denaturation Protein Digestion Proteins Tissue, Membrane Tissues Trifluoroacetic Acid Trypsin Vacuum Xylem
EAB-infested green ash trees were sampled from on June 22, 2017, from five urban park sites, located in the municipalities of Laval, Repentigny, Lavaltrie, and Berthierville (QC, Canada). The location of these sites and the distances between the sites and between sampled trees are shown in Table S12. Permission to collect ash material was granted by private owners, institutions and the Parks and Green Spaces departments of the listed municipalities (Tables 1 and S1).
A green 12 funnel Lindgren trap and a green sticky Prism trap were placed in the upper 1/3 canopy of each tree, on the south or southwest face of each tree that was sampled. Each trap was baited with Z-3-hexenol (Solida: 40SY136) and Z-3-lactone (Solida: 40SY001). These traps were placed in selected trees on June 26, 2017 and trap counts were assessed on July 5, July 27 and August 6, 2017.
Ash canopy condition rating of each sampled tree was assessed based on criteria from Knight et al. 2014 [29 ]. Ash canopy conditions were given a rating from 1 to 5, where, 1-canopy is full and healthy, 2- canopy has started to lose leaves, 3- canopy has less than 50% dieback, 4- canopy has more than 50% dieback, 5- canopy has no leaves.
Trees were placed into an infestation category of high, medium or low based on total number of EAB catches and the ash canopy condition rating. The high infestation category had EAB trap catches > 40 and an ash canopy rating of 3–5. The medium infestation category had EAB trap catches between 40 and 15 and an ash canopy rating of 1–3. The low infestation category had EAB trap catches between 0 and 15 and an ash canopy rating of 1–3.
All of the trees sampled were located in an urban park environment and were free of other apparent pests.
Phloem and xylem samples were collected from infested trees using a cork borer with a diameter of 5 cm. Trees were sampled at breast height and two samples were taken per tree. These two samples were taken approximately 5 cm apart. Phloem and xylem tissue was removed from the sample and frozen on dry ice in the field. Upon return from the field, the sample was homogenised in liquid nitrogen with mortar and pestle and then stored at at -80 °C for further RNA or protein extraction. The two phloem and xylem samples were ground in liquid nitrogen together as one sample. This study complied with relevant institutional, national, and international guidelines and legislation.
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Publication 2023
ASCL1 protein, human Breast Dry Ice Face Freezing Lactones Nitrogen Parasitic Diseases Phloem Plague prisma Proteins Tissues Trees Xylem
Whole young leaves were collected from Pinus taeda, Pinus elliottii, and Pinus massoniana at the Forestry Science Institute of Yingde (Guangdong, China) and the Hongling seed orchard of Taishan (Guangdong, China). Collected leaves were stored at -20 °C until RNA extraction. Three 8-year-old P. taeda trees, with a similar growth state and free of pests and diseases were selected for sampling. The leaf buds, needles, twigs, trunk phloem, and roots were collected separately from each tree at the same time during the blooming period. Total RNA was extracted from different tissues of Pinus taeda using the TIANGEN RNAsecure Plant Kit (Beijing, China) following the manufacturer’s instructions. Sequencing libraries were prepared with insert sizes of 200 bp and sequenced using an Illumina HiSeq 4000 platform.
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Publication 2023
Needles Phloem Pinus Pinus taeda Plague Plant Leaves Plant Roots Plants Tissues Trees

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More about "Phloem"

Phloem is a critical component of the vascular system in plants, responsible for the transport of essential nutrients, sugars, and other vital molecules throughout the plant.
This complex tissue is composed of sieve tubes, companion cells, and other supporting cells, playing a crucial role in the distribution of photosynthates and other essential compounds.
Understanding the structure and function of phloem is essential for optimizing plant productivity, growth, and resilience.
Researchers in this field often utilize advanced techniques and tools, such as the HiSeq 2500 and HiSeq 2000 sequencing platforms, RNeasy Plant Mini Kit and RNeasy Plant Kit for RNA extraction, and RNase-Free DNase Set and DNase I for DNA removal.
These methods, along with the use of RNAlater for sample preservation and the Spectrum Plant Total RNA Kit, enable in-depth analysis of phloem-related gene expression and molecular dynamics.
Phloem research can lead to significant advancements in agriculture, forestry, and the broader study of plant biology.
By understanding the transport mechanisms and signaling pathways within phloem, scientists can develop strategies to optimize crop yields, enhance plant resilience to environmental stressors, and uncover novel applications in the field of plant biotechnology.
The Reverse Transcription System is also a valuable tool in this context, allowing for the conversion of phloem-derived RNA into cDNA for further downstream analysis.
PubCompare.ai's AI-driven platform can be a useful resource for researchers working in the field of phloem analysis.
This tool can help identify the most effective protocols and methods from the literature, preprints, and patents, enabling researchers to streamline their workflows and enhance the reproducibility of their findings.
By leveraging the power of intelligent comparisons, scientists can make more informed decisions and drive progress in this vital area of plant science.