The plant-pathogenic fungus Mycosphaerella graminicola (asexual stage: Septoria tritici) causes septoria tritici blotch, a disease that greatly reduces the yield and quality of wheat. This disease is economically important in most wheat-growing areas worldwide and threatens global food production. Control of the disease has been hampered by a limited understanding of the genetic and biochemical bases of pathogenicity, including mechanisms of infection and of resistance in the host. Unlike most other plant pathogens, M. graminicola has a long latent period during which it evades host defenses. Although this type of stealth pathogenicity occurs commonly in Mycosphaerella and other Dothideomycetes, the largest class of plant-pathogenic fungi, its genetic basis is not known. To address this problem, the genome of M. graminicola was sequenced completely. The finished genome contains 21 chromosomes, eight of which could be lost with no visible effect on the fungus and thus are dispensable. This eight-chromosome dispensome is dynamic in field and progeny isolates, is different from the core genome in gene and repeat content, and appears to have originated by ancient horizontal transfer from an unknown donor. Synteny plots of the M. graminicola chromosomes versus those of the only other sequenced Dothideomycete, Stagonospora nodorum, revealed conservation of gene content but not order or orientation, suggesting a high rate of intra-chromosomal rearrangement in one or both species. This observed "mesosynteny" is very different from synteny seen between other organisms. A surprising feature of the M. graminicola genome compared to other sequenced plant pathogens was that it contained very few genes for enzymes that break down plant cell walls, which was more similar to endophytes than to pathogens. The stealth pathogenesis of M. graminicola probably involves degradation of proteins rather than carbohydrates to evade host defenses during the biotrophic stage of infection and may have evolved from endophytic ancestors.
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http://dx.doi.org/10.1371/journal.pgen.1002070 | DOI Listing |
Biodivers Genomes
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Negaunee Integrative Research Center, Field Museum of Natural History.
We present the complete genome sequences of 31 species of hawks. Illumina sequencing was performed on genetic material from wild-caught specimens. The reads were assembled using a method followed by a finishing step.
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Iridian Genomes.
We present the complete genome sequence of Splendidofilaria pectoralis, a nematode parasite of grouse (Aves: Galliformes: Tetraonini). Illumina paired-end reads were assembled by a de novo method followed by a finishing step. The raw and assembled data are publicly available via GenBank: Sequence Read Archive (SRR28509439) and assembled genome (JBFSWT000000000).
View Article and Find Full Text PDFBMC Genomics
December 2024
College of Agriculture and Veterinary Sciences (FCAV), Department of Animal Science, São Paulo State University "Júlio de Mesquita Filho" (UNESP), Jaboticabal, SP, 14884-900, Brazil.
Background: Castration is a common practice in beef cattle production systems to manage breeding and enhance meat quality by promoting intramuscular fat (IMF) deposition, known as marbling. However, the molecular mechanisms that are influenced by castration in beef cattle are poorly understood. The aim of this study was to identify differentially expressed genes (DEGs) and metabolic pathways that regulate IMF deposition in crossbred cattle by RNA sequencing (RNA-Seq) of skeletal muscle tissue.
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December 2024
Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA.
In 2022, the U.S. Food and Drug Administration (FDA), the Centers for Disease Control and Prevention (CDC), and state partners conducted a sample-initiated investigation of a multistate outbreak of Senftenberg illnesses linked to peanut butter.
View Article and Find Full Text PDFJ Anim Breed Genet
December 2024
Animal Breeding and Genomics, Wageningen University & Research, Wageningen, the Netherlands.
The purpose of this work was to test the application of selection criteria that consider the genetic variances of future generations. This has not been done previously in numerically large livestock breeding programs based on estimated rather than assumed known marker effects. A generic pure-line pig breeding program was simulated in which 40 males and 400 females were selected every generation.
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