Institution
University of Haifa
Education•Haifa, Israel•
About: University of Haifa is a education organization based out in Haifa, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 7558 authors who have published 27141 publications receiving 711629 citations. The organization is also known as: Haifa University & Universiṭat Ḥefah.
Topics: Population, Poison control, Context (language use), Politics, Anxiety
Papers published on a yearly basis
Papers
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TL;DR: The precise mapping of the high GPC gene, the high frequency of recombinants recovered in the targeted region, and the recent development of a tetraploid BAC library including the Gpc-6B1 DIC allele are the first steps towards the map-based cloning of this gene.
Abstract: Grain protein content (GPC) is an important factor in pasta and breadmaking quality, and in human nutrition. It is also an important trait for wheat growers because premium prices are frequently paid for wheat with high GPC. A promising source for alleles to increase GPC was detected on chromosome 6B of Triticum turgidum var. dicoccoides accession FA-15-3 (DIC). Two previous quantitative trait locus (QTL) studies found that the positive effect of DIC-6B was associated to a single locus located between the centromere and the Nor-B2 locus on the short arm of chromosome 6B. Microsatellite markers Xgwm508 and Xgwm193 flanking the QTL region were used in this study to develop 20 new homozygous recombinant substitution lines (RSLs) with crossovers between these markers. These 20 RSLs, plus nine RSLs developed in previous studies were characterized with four new RFLP markers located within this chromosome segment. Grain protein content was determined in three field experiments organized as randomized complete block designs with ten replications each. The QTL peaks for protein content were located in the central region of a 2.7-cM interval between RFLP markers Xcdo365 and Xucw67 in the three experiments. Statistical analyses showed that almost all lines could be classified unequivocally within low- and high- protein groups, facilitating the mapping of this trait as a single Mendelian locus designated Gpc-6B1. The Gpc-6B1 locus was mapped 1.5-cM proximal to Xcdo365 and 1.2-cM distal to Xucw67. These new markers can be used to reduce the size of the DIC chromosome segment selected in marker-assisted selection programs. Markers Nor-B2 and Xucw66 flanking the previous two markers can be used to select against the DIC segment and reduce the linkage drag during the transfer of Gpc-6B1 into commercial bread and pasta wheat varieties. The precise mapping of the high GPC gene, the high frequency of recombinants recovered in the targeted region, and the recent development of a tetraploid BAC library including the Gpc-6B1 DIC allele are the first steps towards the map-based cloning of this gene.
179 citations
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TL;DR: Results suggest that SOR emerges earlier than anxiety, and predicts later development of anxiety, in toddlers with autism spectrum disorders.
Abstract: This report focuses on the emergence of and bidirectional effects between anxiety and sensory over-responsivity (SOR) in toddlers with autism spectrum disorders (ASD). Participants were 149 toddlers with ASD and their mothers, assessed at 2 annual time points. A cross-lag analysis showed that anxiety symptoms increased over time while SOR remained relatively stable. SOR positively predicted changes in anxiety over and above child age, autism symptom severity, NVDQ, and maternal anxiety, but anxiety did not predict changes in SOR. Results suggest that SOR emerges earlier than anxiety, and predicts later development of anxiety.
179 citations
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University of New South Wales1, University of California, San Diego2, University of Auckland3, UPRRP College of Natural Sciences4, Wageningen University and Research Centre5, Shanghai Jiao Tong University6, National University of Ireland, Galway7, Victoria University of Wellington8, University of Notre Dame9, Paul Sabatier University10, University of Alabama11, Institut national de la recherche agronomique12, University of Haifa13, Australian Institute of Marine Science14, Tel Aviv University15, University of North Carolina at Wilmington16, University of Oldenburg17, University of British Columbia18, Stony Brook University19, University of Lisbon20, University of Maryland Center for Environmental Science21, King Abdullah University of Science and Technology22, Leibniz Institute of Marine Sciences23, University of Queensland24
TL;DR: This dataset represents a comprehensive resource of sponge-associated microbial communities based on 16S rRNA gene sequences that can be used to address overarching hypotheses regarding host-associated prokaryotes, including host specificity, convergent evolution, environmental drivers of microbiome structure, and the sponge- associated rare biosphere.
Abstract: Marine sponges (phylum Porifera) are a diverse, phylogenetically deep-branching clade known for forming intimate partnerships with complex communities of microorganisms. To date, 16S rRNA gene sequencing studies have largely utilised different extraction and amplification methodologies to target the microbial communities of a limited number of sponge species, severely limiting comparative analyses of sponge microbial diversity and structure. Here, we provide an extensive and standardised dataset that will facilitate sponge microbiome comparisons across large spatial, temporal, and environmental scales. Samples from marine sponges (n = 3569 specimens), seawater (n = 370), marine sediments (n = 65) and other environments (n = 29) were collected from different locations across the globe. This dataset incorporates at least 268 different sponge species, including several yet unidentified taxa. The V4 region of the 16S rRNA gene was amplified and sequenced from extracted DNA using standardised procedures. Raw sequences (total of 1.1 billion sequences) were processed and clustered with (i) a standard protocol using QIIME closed-reference picking resulting in 39 543 operational taxonomic units (OTU) at 97% sequence identity, (ii) a de novo clustering using Mothur resulting in 518 246 OTUs, and (iii) a new high-resolution Deblur protocol resulting in 83 908 unique bacterial sequences. Abundance tables, representative sequences, taxonomic classifications, and metadata are provided. This dataset represents a comprehensive resource of sponge-associated microbial communities based on 16S rRNA gene sequences that can be used to address overarching hypotheses regarding host-associated prokaryotes, including host specificity, convergent evolution, environmental drivers of microbiome structure, and the sponge-associated rare biosphere.
179 citations
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01 Jan 1988TL;DR: This model represents the view of the essential causation of the business cycle and shows some typical simulations of this model.
Abstract: In this chapter we will complete the description of our model, and exhibit some typical simulations. This model represents our view of the essential causation of the business cycle.
178 citations
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TL;DR: The use of several benthic indicators, in assessing farm impacts, together with the investigation of dynamics of the studied location, water depth, years of farm activity, and total annual production, must be included when interpreting the response ofbenthic communities to organic enrichment from aquaculture.
178 citations
Authors
Showing all 7747 results
Name | H-index | Papers | Citations |
---|---|---|---|
Markku Laakso | 162 | 945 | 142292 |
M.-Marsel Mesulam | 150 | 558 | 90772 |
Michael Levin | 111 | 986 | 45667 |
Peter Schmidt | 105 | 638 | 61822 |
Eviatar Nevo | 95 | 848 | 40066 |
Uri Alon | 91 | 442 | 54822 |
Dan Roth | 85 | 523 | 28166 |
Simon G. Potts | 82 | 249 | 31557 |
Russell G. Foster | 79 | 318 | 23206 |
Leo Radom | 79 | 604 | 34075 |
Stevan E. Hobfoll | 74 | 271 | 35870 |
Larry Davidson | 69 | 459 | 20177 |
Alan R. Templeton | 67 | 249 | 28320 |
Uri Gneezy | 65 | 211 | 29671 |
Benny Pinkas | 64 | 156 | 21122 |