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Find video protocols related to scientific articles indexed in Pubmed.
Evaluation of a Pyrenophora teres f. teres mapping population reveals multiple independent interactions with a region of barley chromosome 6H.
Fungal Genet. Biol.
PUBLISHED: 06-17-2014
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The necrotrophic fungal pathogen Pyrenophora teres f. teres causes the foliar disease net form net blotch (NFNB) on barley. To investigate the genetics of virulence in the barley- P. teres f. teres pathosystem, we evaluated 118 progeny derived from a cross between the California isolates 15A and 6A on the barley lines Rika and Kombar, chosen based on their differential reactions to isolates 15A and 6A for NFNB disease. Genetic maps generated with SNP, SSR, and AFLP markers were scanned for quantitative trait loci (QTL) associated with virulence in P. teres f. teres. Loci underlying two major QTL, VR1 and VR2, were associated with virulence on Rika barley, accounting for 35% and 20% of the disease reaction type variation, respectively. Two different loci, VK1 and VK2, were shown to underlie two major QTL associated with virulence on Kombar barley accounting for 26% and 19% of the disease reaction type variation, respectively. Progeny isolates harboring VK1, VK2, or VR2 alone were inoculated onto a RikaƗKombar recombinant inbred line mapping population and the susceptibility induced by each pathogen genotype corresponded to the same region on barley chromosome 6H as that identified for the parental isolates 15A and 6A. The data presented here indicate that the P. teres f. teres - barley interaction can at least partially be explained by pathogen-produced necrotrophic effectors (NEs) that interact with dominant barley susceptibility genes resulting in NE triggered susceptibility (NETS).
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In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.