The rice blast disease (caused by Magnaporthe oryzae) is a devastating disease in China. Understanding the molecular mechanisms of interaction for the cognate avirulence (AVR) gene with host resistance (R) genes, as well as their genetic evolution is essential for sustainable rice production. In the present study, we conducted a high-throughput nucleotide sequence polymorphism analysis of the AVR-Pi9 gene that was amplified from the rice-growing regions of the Yunnan Province in China. We detected the presence of seven novel haplotypes from 326 rice samples. In addition, the sequences of AVR-Pi9 were also obtained from two non-rice hosts, Eleusine coracana and Eleusine indica. The sequence analysis revealed the insertions and deletions in the coding and non-coding regions of the gene. The pathogenicity experiments of these haplotypes on previously characterized monogenic lines showed that the newly identified haplotypes are virulent in nature. The breakdown of resistance was attributed to the development of new haplotypes. Our results suggest that the mutation in the AVR-Pi9 gene is an alarming situation in the Yunnan province and thus needs attention.

Background Rice blast is a very serious disease caused by Magnaporthe oryzae. The avirulence (AVR) genes of rice blast are perceived by the corresponding rice-blast resistance (R) genes and prompt specific resistance. A mutation in AVR is a major force for new virulence. Exploring mutations in AVR among M. oryzae isolates from rice-production fields could aid assessment of the efficacy and durability of R genes. We studied the probable molecular-evolutionary patterns of AVR-Pib alleles by assaying their DNA-sequence diversification and examining their avirulence to the corresponding Pib resistance gene under natural conditions in China. Results PCRs detected results from M. oryzae genomic DNA revealed that 162 out of 366 isolates collected from Yunnan Province contained AVR-Pib alleles. Among them, 36.1–73.3% isolates from six different rice-production areas of Yunnan contained AVR-Pib alleles. Furthermore, 36 (28.6%) out of 126 isolates had a transposable element (TE) insertion in AVR-Pib, which resulted in altered virulence. The TE insertion was identified in isolates from rice rather than from Musa nana Lour. Twelve AVR-Pib haplotypes encoding three novel AVR-Pib variants were identified among the remaining 90 isolates. AVR-Pib alleles evolved to virulent forms from avirulent forms by base substitution and TE insertion of Pot2 and Pot3 in the 5′ untranslated region of AVR-Pib. Conclusions Our results revealed that AVR-Pib alleles suffered neutral evolution and divergences that led to overcome specific resistant Pib alleles under field conditions. The TE insertion in AVR-Pib was selected and adapted to rice and other Gramineae species.

Background Introduction Multiple sclerosis(MS) is a common complication of uncontrolled or excessive neuroinflammation and autoimmunity disease. Advances in high-throughput technologies and available bioinformatics tools make it possible to evaluate different expressions in the whole genome instead of focusing on a limited number of genes. MethodsMaterials and methods Two public available databases GSE81279 and GSE21942 of multiple sclerosis samples were downloaded analyzed by CIBERSORT. Gene Ontology (GO) and KEGG pathway analysis based on GSEA was performed by cluster profile software to reveal the regulatory relations among genes and provided a systematic understanding of the functional differentially expressed genes at the transcriptional level.GSE81279 was used to validate the association between core genes and clinical information. ResultsFor immune cells, T-cell gamma delta and monocyte showed a trend toward reduction. The connection between the most prominent GO terms showed HBB, GATA2, NAA35, TCL1A, SECISBP2L, CLC, AGPAT5, CCR3, LTF, MALAT1, MS4A3 were significantly differentially expressed in MS. Gene set enrichment result was presented CDKN1A, DDB2, MME HMGN1, XPC, RELA for subsequent analysis.GSE81279 showed five types of immune cells revealed important links with MS. GSEA and layered KEGG analyses revealed that enrichment of immune response-related in primary immunodeficiency, it also consistent with previous studies. We got 10 genes, including HLA-DR, IL7R, HBB, TNFRSF1A, CYP27B1, NR1H3, IL2RA, TNFR1, BAFF, and CYP2R1 had close connections to clinical features. ConclusionsOur study identifies immune cell infiltration with microarray data of the plasma in MS by using CIBERSORT analysis, we also provide novel information for further study of genes of multiple sclerosis.