Elevated platelet-derived growth factor-BB concentrations in premature neonates who develop chronic lung disease

BACKGROUND: Chronic lung disease (CLD) in the preterm newborn is associated with inflammation and fibrosis. Platelet-derived growth factor-BB (PDGF-BB), a potent chemotactic growth factor, may mediate the fibrotic component of CLD. The objectives of this study were to determine if tracheal aspirate (TA) concentrations of PDGF-BB increase the first 2 weeks of life in premature neonates undergoing mechanical ventilation for respiratory distress syndrome (RDS), its relationship to the development of CLD, pulmonary hemorrhage (PH) and its relationship to airway colonization with Ureaplasma urealyticum (Uu). METHODS: Infants with a birth weight less than 1500 grams who required mechanical ventilation for RDS were enrolled into this study with parental consent. Tracheal aspirates were collected daily during clinically indicated suctioning. Uu cultures were performed on TA collected in the first week of life. TA supernatants were assayed for PDGF-BB and secretory component of IgA concentrations using ELISA techniques. RESULTS: Fifty premature neonates were enrolled into the study. Twenty-eight infants were oxygen dependent at 28 days of life and 16 infants were oxygen dependent at 36 weeks postconceptual age. PDGF-BB concentrations peaked between 4 and 6 days of life. Maximum PDGF-BB concentrations were significantly higher in infants who developed CLD or died from respiratory failure. PH was associated with increased risk of CLD and was associated with higher PDGF-BB concentrations. There was no correlation between maximum PDGF-BB concentrations and Uu isolation from the airway. CONCLUSIONS: PDGF-BB concentrations increase in TAs of infants who undergo mechanical ventilation for RDS during the first 2 weeks of life and maximal concentrations are greater in those infants who subsequently develop CLD. Elevation in lung PDGF-BB may play a role in the development of CLD

Multi-messenger observations of a binary neutron star merger

On 2017 August 17 a binary neutron star coalescence candidate (later designated GW170817) with merger time 12:41:04 UTC was observed through gravitational waves by the Advanced LIGO and Advanced Virgo detectors. The Fermi Gamma-ray Burst Monitor independently detected a gamma-ray burst (GRB 170817A) with a time delay of ~1.7 s with respect to the merger time. From the gravitational-wave signal, the source was initially localized to a sky region of 31 deg2 at a luminosity distance of 40+8-8 Mpc and with component masses consistent with neutron stars. The component masses were later measured to be in the range 0.86 to 2.26 Mo. An extensive observing campaign was launched across the electromagnetic spectrum leading to the discovery of a bright optical transient (SSS17a, now with the IAU identification of AT 2017gfo) in NGC 4993 (at ~40 Mpc) less than 11 hours after the merger by the One- Meter, Two Hemisphere (1M2H) team using the 1 m Swope Telescope. The optical transient was independently detected by multiple teams within an hour. Subsequent observations targeted the object and its environment. Early ultraviolet observations revealed a blue transient that faded within 48 hours. Optical and infrared observations showed a redward evolution over ~10 days. Following early non-detections, X-ray and radio emission were discovered at the transient’s position ~9 and ~16 days, respectively, after the merger. Both the X-ray and radio emission likely arise from a physical process that is distinct from the one that generates the UV/optical/near-infrared emission. No ultra-high-energy gamma-rays and no neutrino candidates consistent with the source were found in follow-up searches. These observations support the hypothesis that GW170817 was produced by the merger of two neutron stars in NGC4993 followed by a short gamma-ray burst (GRB 170817A) and a kilonova/macronova powered by the radioactive decay of r-process nuclei synthesized in the ejecta

Comparative mapping

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Using a physiological framework for improving the detection of quantitative trait loci related to nitrogen nutrition in Medicago truncatula

[i]Medicago truncatula[/i] is used as a model plant for exploring the genetic and molecular determinants of nitrogen (N) nutrition in legumes. In this study, our aim was to detect quantitative trait loci (QTL) controlling plant N nutrition using a simple framework of carbon/N plant functioning stemming from crop physiology. This framework was based on efficiency variables which delineated the plant's efficiency to take up and process carbon and N resources. A recombinant inbred line population (LR4) was grown in a glasshouse experiment under two contrasting nitrate concentrations. At low nitrate, symbiotic N-2 fixation was the main N source for plant growth and a QTL with a large effect located on linkage group (LG) 8 affected all the traits. Significantly, efficiency variables were necessary both to precisely localize a second QTL on LG5 and to detect a third QTL involved in epistatic interactions on LG2. At high nitrate, nitrate assimilation was the main N source and a larger number of QTL with weaker effects were identified compared to low nitrate. Only two QTL were common to both nitrate treatments: a QTL of belowground biomass located at the bottom of LG3 and another one on LG6 related to three different variables (leaf area, specific N uptake and aboveground:belowground biomass ratio). Possible functions of several candidate genes underlying QTL of efficiency variables could be proposed. Altogether, our results provided new insights into the genetic control of N nutrition in M. truncatula. For instance, a novel result for [i]M. truncatula[/i] was identification of two epistatic interactions in controlling plant N-2 fixation. As such this study showed the value of a simple conceptual framework based on efficiency variables for studying genetic determinants of complex traits and particularly epistatic interaction

Genetic diversity within Pisum sativum using protein- and PCR-based markers

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Unexpectedly low nitrogen acquisition and absence of root architecture adaptation to nitrate supply in a [i]Medicago truncatula[/i] highly branched root mutant

To complement N-2 fixation through symbiosis, legumes can efficiently acquire soil mineral N through adapted root architecture. However, root architecture adaptation to mineral N availability has been little studied in legumes. Therefore, this study investigated the effect of nitrate availability on root architecture in Medicago truncatula and assessed the N-uptake potential of a new highly branched root mutant, TR185. The effects of varying nitrate supply on both root architecture and N uptake were characterized in the mutant and in the wild type. Surprisingly, the root architecture of the mutant was not modified by variation in nitrate supply. Moreover, despite its highly branched root architecture, TR185 had a permanently N-starved phenotype. A transcriptome analysis was performed to identify genes differentially expressed between the two genotypes. This analysis revealed differential responses related to the nitrate acquisition pathway and confirmed that N starvation occurred in TR185. Changes in amino acid content and expression of genes involved in the phenylpropanoid pathway were associated with differences in root architecture between the mutant and the wild type

Gene-based SNP discovery and genetic mapping in pea

International audienceGene-based SNPs were identified and mapped in pea using five recombinant inbred line populations segregating for traits of agronomic importance. Pea (Pisum sativum L.) is one of the world's oldest domesticated crops and has been a model system in plant biology and genetics since the work of Gregor Mendel. Pea is the second most widely grown pulse crop in the world following common bean. The importance of pea as a food crop is growing due to its combination of moderate protein concentration, slowly digestible starch, high dietary fiber concentration, and its richness in micronutrients; however, pea has lagged behind other major crops in harnessing recent advances in molecular biology, genomics and bioinformatics, partly due to its large genome size with a large proportion of repetitive sequence, and to the relatively limited investment in research in this crop globally. The objective of this research was the development of a genome-wide transcriptome-based pea single-nucleotide polymorphism (SNP) marker platform using next-generation sequencing technology. A total of 1,536 polymorphic SNP loci selected from over 20,000 non-redundant SNPs identified using deep transcriptome sequencing of eight diverse Pisum accessions were used for genotyping in five RIL populations using an Illumina GoldenGate assay. The first high-density pea SNP map defining all seven linkage groups was generated by integrating with previously published anchor markers. Syntenic relationships of this map with the model legume Medicago truncatula and lentil (Lens culinaris Medik.) maps were established. The genic SNP map establishes a foundation for future molecular breeding efforts by enabling both the identification and tracking of introgression of genomic regions harbouring QTLs related to agronomic and seed quality traits

Towards bruchid resistance in pulses

National audienceSeed weevils (Bruchus spp.) are major pests of pulses, causing yield losses and affecting marketability 1,2 . Available insecticides have low efficiency and important negative impacts on the environment, humans and non-target organisms. Therefore, breeding resistant varieties represent the most promising strategy to overcome seed weevils. The pyramiding of several resistance genes in cultivars is an important objective because this will make the resistance more durable and suitable for sustainable agriculture. The PeaMUST project (ANR-11-BTBR0002) aims at discovering the mechanisms of tolerance and resistance to bruchids in pea (Pisum sativum L.) and faba bean (Vicia faba L.) crops and identifying the functional candidate genes for future implementation in Genomics-Assisted Breeding (GAB). A multidisciplinary approach that includes Genome- Wide Association Studies (GWAS), Quantitative trait locus (QTLs) mapping, RNA sequencing (RNA-Seq), shotgun proteomics and Volatile Organic Compounds (VOCs) analysis has been used to identify potential candidate genes for resistance to bruchids. The results will provide (i) original basic knowledge about resistance strategies in pea and faba bean, the candidate genes underlying quantitative resistance to bruchids and its conservation in other legume species, as well as, (ii) innovative applied knowledge and tools for breeding pea and faba bean varieties resistant to bruchids, which will be useful in future strategies of durable resistance management

RésiLens: A research project aiming at identifying bruchid and root rot resistance sources in lentil (<em>Lens culinaris</em>)

National audienceIntroducing legumes in modern cropping systems increases crop diversity and reduces the use of external inputs. It thus contributes to achieving sustainable food and feed production. Lentil (Lens culinaris Medik.) is an environmentally friendly, nutritious, protein-rich legume food crop. It is grown in a wide range of climatic conditions and fixes atmospheric nitrogen through bacterial symbiosis. In France, lentil cultivated areas are continuously increasing but are still largely inferior to the areas cultivated with cereals or other legumes such as pea and faba bean. One of the most serious problems for lentil cultivation is due to the insect pests known as seed beetles (Coleoptera, Bruchinae). Their larvae feed on developing seeds provoking severe yield losses. Lentil is also susceptible to root rot. Various fungal and fungus-like organisms including Aphanomyces and Pythium make up a disease complex and provoke poor root development and stunting/yellowing of aerial parts. The French research project called RésiLens (2019-2021), funded by the special allocation account for agriculture and rural development (CasDAR), aims at addressing these urgent questions. Seven public and private partners will be working together to characterize the diversity of a lentil collection comprising 300 accessions at the phenotypic and molecular levels. Phenotyping trials under different environments will allow generating knowledge about lentil response to main stresses and identifying resistant genitors for breeding