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20 results for “Maritime pine”
Forward selection in a maritime pine polycross progeny trial using pedigree reconstruction.
<p>These two excel files gather genotyping data used in the following publication:</p> <p>Vidal M, Plomion C, Raffin A, Harvengt L, Bouffier L (2017) Forward selection in a maritime pine polycross progeny trial using pedigree reconstruction. Annals of Forest Science, 74(1). DOI 10.1007/s13595-016-0596-8</p> <p>The dataset describes genotyping profiles (with 56 or 63 SNPs) for the G1 and G2 individuals sampled in this paper. For each individual, the following information is mentioned: identity, preselection option (only for G2 individuals), the generation to which the individual belongs, pedigree (only for G2 individuals), alleles for each SNP.</p>
Data from: In situ genetic association for serotiny, a fire-related trait, in Mediterranean maritime pine (Pinus pinaster Aiton)
Wildfire is a major ecological driver of plant evolution. Understanding the genetic basis of plant adaptation to wildfire is crucial, because impending climate change will involve fire regime changes worldwide. We studied the molecular genetic basis of serotiny, a fire-related trait, in Mediterranean maritime pine using association genetics. A single nucleotide polymorphism (SNP) set was used to identify genotype : phenotype associations in situ in an unstructured natural population of maritime pine (eastern Iberian Peninsula) under a mixed-effects model framework. RR-BLUP was used to build predictive models for serotiny in this region. Model prediction power outside the focal region was tested using independent range-wide serotiny data. Seventeen SNPs were potentially associated with serotiny, explaining approximately 29% of the trait phenotypic variation in the eastern Iberian Peninsula. Similar prediction power was found for nearby geographical regions from the same maternal lineage, but not for other genetic lineages. Association genetics for ecologically relevant traits evaluated in situ is an attractive approach for forest trees provided that traits are under strong genetic control and populations are unstructured, with large phenotypic variability. This will help to extend the research focus to ecological keystone non-model species in their natural environments, where polymorphisms acquired their adaptive value.
Data from: In situ genetic association for serotiny, a fire-related trait, in Mediterranean maritime pine (Pinus pinaster Aiton)
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Genetic basis of growth, spring phenology and susceptibility to biotic stressors in maritime pine
<p>Forest ecosystems are increasingly challenged by extreme events, e.g. drought, storms, pest and pathogenic fungi outbreaks, causing severe ecological and economical losses. Understanding the genetic basis of adaptive traits in tree species is of key importance to preserve forest ecosystems, as genetic variation in a trait (i.e. heritability) determines its potential for human-mediated or evolutionary change. Maritime pine (<i>Pinus pinaster</i> Aiton), a conifer widely distributed in southwestern Europe and northwestern Africa, grows under contrasted environmental conditions promoting local adaptation. Genetic variation at adaptive phenotypes, including height, growth phenology and susceptibility to two fungal pathogens (<i>Diplodia sapinea</i> and <i>Armillaria ostoyae</i>) and an insect pest (<i>Thaumetopoea pityocampa</i>), were assessed in a range-wide clonal common garden of maritime pine. Broad-sense heritability was significant for height (0.219), growth phenology (0.165-0.310) and pathogen susceptibility (necrosis length caused by <i>D. sapinea</i>, 0.152; and by <i>A. ostoyae</i>, 0.021) measured after inoculation under controlled conditions, but not for pine processionary moth incidence in the common garden. The correlations of trait variation among populations revealed contrasting trends for pathogen susceptibility to <i>D. sapinea</i> and <i>A. ostoyae</i> with respect to height. Taller trees showed longer necrosis length caused by <i>D. sapinea </i>while shorter trees were more affected by <i>A. ostoyae</i>. Moreover, maritime pine populations from areas with high summer temperatures and frequent droughts were less susceptible to <i>D. sapinea </i>but more susceptible to <i>A. ostoyae</i>. Finally, an association study using 4,227 genome-wide SNPs revealed several loci significantly associated to each trait (range of 3-26), including a possibly disease-induced translation initiation factor, eIF-5. This study provides important insights to develop genetic conservation and breeding strategies integrating species responses to biotic stressors.</p>
Inducibility of plant secondary metabolites predicts genetic variation in resistance against a key insect herbivore in maritime pine
<p>SNP dataset in maritime pine (<em>Pinus pinaster</em>) together with the population structure (<em>Q</em>) and kinship (<em>K</em>) matrices.</p>
Data from: Mediation of seed provisioning in the transmission of environmental maternal effects in Maritime pine (Pinus pinaster Aiton)
Although maternal environmental effects are increasingly recognized as an important source of phenotypic variation with relevant impacts in evolutionary processes, their relevance in long-lived plants such as pine trees is largely unknown. Here, we used a powerful sample size and a strong quantitative genetic approach to analyse the sources of variation of early seedling performance and to identify seed mass (SM)-dependent and -independent maternal environmental effects in Maritime pine. We measured SM of 8924 individual seeds collected from 10 genotypes clonally replicated in two environments of contrasting quality (favourable and stressful), and we measured seedling growth rate and biomass allocation to roots and shoots. SM was extremely variable (up to 14-fold) and strongly determined by the maternal environment and the genotype of the mother tree. The favourable maternal environment led to larger cones, larger seeds and reduced SM variability. The maternal environment also determined the offspring phenotype, with seedlings coming from the favourable environment being 35% larger and with greater root/shoot ratio. Transgenerational plasticity appears, thus, to be a relevant source of phenotypic variation in the early performance of this pine species. Seed provisioning explained most of the effect of the maternal environment on seedling total biomass. Environmental maternal effects on seedling biomass allocation were, however, determined through SM-independent mechanisms, suggesting that other epigenetic regulation channels may be involved.
FIGURE 2 in Type designation of the Maritime pine Pinus pinaster (Pinaceae)
FIGURE 2. Specimen of Pinus pinaster Aiton, BM (barcode BM001066259). Specimen from Chelsea Physic Garden sent to the Royal Society. Image reproduced with permission of the herbarium BM.
FIGURE 1 in Type designation of the Maritime pine Pinus pinaster (Pinaceae)
FIGURE 1. Lectotype of Pinus pinaster Aiton, illustration "Pinus maritima altera" in Duhamel du Monceau (1755: t. 29).
Evaluation the Effects of French Maritime Pine Bark Extract on the Clinical Status in Traumatic Brain Injury Patients
ClinicalTrials.gov study NCT03777683. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Measuring viability selection from prospective cohort mortality studies: a case study in Maritime pine
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Data from: Heritability of seed weight in Maritime pine, a relevant trait in the transmission of environmental maternal effects
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Data from: Mediation of seed provisioning in the transmission of environmental maternal effects in Maritime pine (Pinus pinaster Aiton)
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Genetic basis of growth, spring phenology and susceptibility to biotic stressors in maritime pine
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Identification of metabolic pathways differentially regulated in somatic and zygotic embryos of maritime pine
GEO Series GSE194039. Pinus pinaster. 18 samples. Type: Expression profiling by high throughput sequencing.
Stage-specific transcriptional changes during zygotic embryogenesis in maritime pine (Pinus pinaster Ait.)
GEO Series GSE32551. Pinus taeda; Pinus pinaster. 30 samples. Type: Expression profiling by array.
EFFECT OF FRENCH MARITIME PINE BARK EXTRACT ON ATTENTION-DEFICIT HYPERACTIVITY DISORDER: A RANDOMIZED CLINICAL TRIAL.
<p>This is a dataset from a phase III, randomised, double-blind, placebo and active product controlled, multicentre clinical trial with three parallel treatment arms to compare effects on ADHD and ADD behaviour between Pycnogenol®, MPH (Medikinet® Retard) and placebo, using the ADHDRating Scale (ADHD-RS/ARS) as a primary outcome measure.</p> <p>Evaluations were performed in weeks 5 and 10, as compared to baseline. Two visits with similar evaluations were conducted: at baseline and after 10 weeks. Next to baseline and final evaluations, an extra evaluation of behaviour and physical symptoms was conducted in week 5 by means of questionnaires. The trial population will consists of ADHD and ADD patients recruited at the University Hospitals of Antwerp (UZA) and Ghent (UZ Ghent) and the Hospital Network Antwerp (ZNA), Belgium. Participants were randomised, stratified by trial centre, to one of the three treatment arms (placebo, Pycnogenol®, or Medikinet® Retard) by randomization.com randomisation software. Published protocol: Verlaet AAJ, Ceulemans B, Verhelst H, Van West D, De Bruyne T, Pieters L, Savelkoul HFJ, Hermans N. Effect of Pycnogenol® on attention-deficit hyperactivity disorder (ADHD): study protocol for a randomised controlled trial. Trials (2017), 18(1).</p> <p>As the primary objective is to assess the efficacy of Pycnogenol® for improving ADHD and ADD behaviour as rated by teachers compared to placebo and Medikinet® Retard, the primary outcome is the summed ADHD score of the ADHD-RS as rated by teachers. Teachers filled out this questionnaire before the start of the intervention and after 5 and 10 weeks. Secondary outcomes ADHD/ADD behaviour Secondary outcomes related to ADHD/ADD behaviour are:</p> <p>Summed ADHD score of the ADHD-RS, rated by parents</p> <p>Summed ADHD score of the Social-emotional Questionnaire (SEQ), rated by parents and teachers</p> <p>Scores on ADHD subscales of the ADHD-RS and SEQ, rated by parents and teachers (hyperactivity, impulsivity and inattention)</p> <p>Percentage of responders rated by parents and teachers, defined as participants with a reduction of at least 20% of their baseline summed ADHD-RS s</p> <p>Social behaviour problems subscale of the SEQ, rated by parents and teachers, to evaluate to what extent symptoms of ODD and CD are displayed</p> <p>Anxiety subscale of the SEQ, rated by parents and teachers, to evaluate symptoms of general anxiety, social anxiety and anxiety-depression</p> <p>Physical and sleep complaints, including various potential side effects, measured by the Physical Complaints Questionnaire (PCQ)</p> <p>Dietary habits of participants were assessed by a Food Frequency Questionnaire (FFQ).</p> <p>The ADHD-RS (ARS) is a validated, internationally accepted questionnaire. Its 9 inattention (IA) and 9 hyperactivity and impulsivity (HI) items, rated on a four-point rating scale (never/seldom 0, sometimes 1, often 2, or very often 3), are based on the DSM. The ADHD-RS was used in previous trials as well. </p> <p>Besides ADHD, the Social-Emotional Questionnaire (SEQ) assesses core symptoms of other social-emotional problems (social behaviour problems, anxiety and autism). Its 72 questions are based on the DSM and rated on a five-point scale (never 0, less than once a month 1, every month 2, every week 3, or (almost) every day 4). The ADHD score can be subdivided into an hyperactivity (H) score, impulsivity (I) score and inattention (IA) score, each based on 6 questions.</p> <p>The PCQ enquires physical and sleep complaints, for instance related to pain, unusual thirst/perspiration, asthma or rhinitis, skin problems, tiredness, gastrointestinal problems and sleep problems. Questions include potential adverse effects and are rated on a five-point scale. In addition to several stand-alone questions, various questions can be combined (e.g. total pain: headache, stomach ache and growing pains). Each item is rated on a five-point scale (never 0, less than once a month 1, every month 2, every week 3, or (almost) every day 4). </p> <p>The FFQ consisted of 50 questions on different food groups to be rated on a nine-point scale (never 0, less than once a month 1, 1-3 times a month 2, once a week 3, 2-4 times a week 4, 5-6 times a week 5, once a day 6, 2-3 times a day 7, more than 3 times a day 8) to assess global dietary habits (e.g. how often a participant consumes fresh fruits or vegetables).</p> <p>Researchers involved in digitalizing questionnaire answers and statistics were blind for the participant groups. In case of >2 missing answers regarding a (sub)score within a patient, this (sub)score was set to missing. Participants were excluded from analyses only for those outcomes without any data available. Several teacher questionnaires were missing due to teachers never responding/not responding anymore, starting/ending the study during the summer holiday, covid-19 (homeschooling), or a combination of these.</p> <p>Data in SPSS were directly used for statistics. Data in excel are raw data.</p>
Pycnogenol (French Maritime Pine Bark) for the Treatment of Gulf War Illness
ClinicalTrials.gov study NCT07266571. IPD Sharing: NO. Countries: 1. Publications: 0.
Transcriptional regulation of arogenate dehydratase genes linked to lignin biosynthesis in maritime pine
GEO Series GSE142093. Pinus pinaster. 16 samples. Type: Expression profiling by array.
Transcriptional regulation of arogenate dehydratase genes linked to lignin biosynthesis in maritime pine [11PP16A]
GEO Series GSE142091. Pinus pinaster. 8 samples. Type: Expression profiling by array.
Transcriptional regulation of arogenate dehydratase genes linked to lignin biosynthesis in maritime pine [11PP17]
GEO Series GSE142092. Pinus pinaster. 8 samples. Type: Expression profiling by array.
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