Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 5 de 5
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
País de afiliação
Intervalo de ano de publicação
1.
Anim Genet ; 55(2): 265-276, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38185881

RESUMO

In livestock, genome-wide association studies (GWAS) are usually conducted in a single population (single-GWAS) with limited sample size and detection power. To enhance the detection power of GWAS, meta-analysis of GWAS (meta-GWAS) and mega-analysis of GWAS (mega-GWAS) have been proposed to integrate data from multiple populations at the level of summary statistics or individual data, respectively. However, there is a lack of comparison for these different strategies, which makes it difficult to guide the best practice of GWAS integrating data from multiple study populations. To maximize the comparison of different association analysis strategies across multiple populations, we conducted single-GWAS, meta-GWAS, and mega-GWAS for the backfat thickness of 100 kg (BFT_100) and days to 100 kg (DAYS_100) within each of the three commercial pig breeds (Duroc, Yorkshire, and Landrace). Based on controlling the genome inflation factor to one, we calculated corrected p-values (pC ). In Yorkshire, with the largest sample size, mega-GWAS, meta-GWAS and single-GWAS detected 149, 38 and 20 significant SNPs (pC < 1E-5) associated with BFT_100, as well as 26, four, and one QTL, respectively. Among them, pC of SNPs from mega-GWAS was the lowest, followed by meta-GWAS and single-GWAS. The correlation of pC among the three GWAS strategies ranged from 0.60 to 0.75 and the correlation of SNP effect values between meta-GWAS and mega-GWAS was 0.74, all showing good agreement. Collectively, even though there are differences in the integration of individual data or summary statistics, integrating data from multiple populations is an effective means of genetic argument for complex traits, especially mega-GWAS versus single-GWAS.


Assuntos
Estudo de Associação Genômica Ampla , Locos de Características Quantitativas , Suínos , Animais , Polimorfismo de Nucleotídeo Único , Herança Multifatorial , Fenótipo
2.
Plant Dis ; 2024 Jul 25.
Artigo em Inglês | MEDLINE | ID: mdl-39051995

RESUMO

Italian ryegrass (Lolium multiflorum L.) is widely cultivated as an important forage worldwide because of its high nutritional value and good palatability. Anthracnose caused by Colletotrichum species was a common and new emerging disease of Italian ryegrass. In this study, 88 Colletotrichum isolates were collected from diseased leaves of Italian ryegrass planting regions in Sichuan, Chongqing and Guizhou provinces of southwestern China between 2019 and 2022. By pure culture technique, 15 representative single-spore isolates were obtained for further study. Multi-locus phylogenetic analysis coupled with morphological features showed that these isolates were finally identified as six new record species: C. cereale of the C. graminicola species complex, C. fioriniae and C. nymphaeae of the C. acutatum species complex, C. boninense and C. citricola of the C. boninense species complex, and C. nageiae. Pathogenicity tests indicated that all species could induce anthracnose symptoms; of these, C. cereale was more invasive than other species, followed by C. fioriniae, C. nageiae, C. citricola and C. boninense; C. nymphaeae was weakest pathogenic to Italian ryegrass plants (P ≤ 0.05). Fungicide sensitivity assays showed that iprodione, propineb and oxime·tebuconazole had strong inhibitory effect on the mycelial growth of six Colletotrichum species; in addition, azoxystrobin and fludioxonil also significantly inhibited the mycelial growth of C. nymphaeae and C. fioriniae, respectively. These results provide the basis for the diagnosis and detection in the field, pathogen identification and management of anthracnose on Italian ryegrass.

3.
Plant Dis ; 2024 Aug 07.
Artigo em Inglês | MEDLINE | ID: mdl-39110616

RESUMO

Dandelion (Taraxacum mongolicum), belonging to the Asteraceae family, is one of the main associated species in the alpine meadow, and is famous for its both feeding and medicinal values (Lin et al. 2022; Wang et al. 2022). In September 2021 (vigorous growth period), a newly emerging leaf spot disease of T. mongolicum were observed on natural grassland in Ruoergai County, Aba (Ngawa) Tibetan and Qiang Autonomous Prefect, China (33°59'51'' N, 102°44'57'' E, alt. 3414 m). Leaf disease incidence was ranged from 10% to 15%. The symptoms appeared as brown to dark brown, circular or irregular, sunken spots; eventually, the infected sites of leaves formed a hole in the middle position of lesions. For isolation, 21 tissue pieces (5mm × 5mm) from 7 symptomatic leaf samples of 4 different plants were surface sterilized with 70% ethanol for 30 s and rinsed three times with sterilized distilled water. Then, these tissues were placed on potato dextrose agar (PDA) at 25°C and incubated in the dark for 2 to 7 days. Finally, six pure Didymella strains with consistent colony characteristics were obtained from hyphal tips as described by Xue et al. (2023). Colonies on PDA were brown to black with concentric circles, and abundant black pycnidia were visible; reverse similar in color. Conidia were ellipsoidal, ovoid, hyaline, 0 to 1-septate, 4.07 to 8.67 × 2.74 to 5.35 µm (average 3.60 × 6.55 µm; n = 50). Seven-week-old healthy plants were obtained by growing T. mongolicum seeds in pots (two plants per pot). The six pure Didymella strains were subsequently used to inoculate healthy plants as follows: for each strain, eight pots were spray inoculated with a mycelial suspension of about 4 × 104 CFU/ml, referring to our previous method (Xue et al. 2023). In addition, eight pots considered as non-inoculated controls were sprayed with sterilized distilled water. All pots were individually covered with transparent polyethylene bags for 5 days to maintain high relative humidity and placed in a greenhouse at 23 to 29°C. After incubation for 10 days, the typical symptoms consisted of brown to dark brown, sunken spots, which were similar to those previously observed in nature grassland; however, symptoms were not observed on the non-inoculated plants (controls). The same fungus was reisolated from the lesions and confirmed by the morphological and molecular methods described in this note, thus fulfilling Koch's postulates. To further identify this fungal pathogen, ITS-rDNA, and two other protein-coding genes (rpb2 and tub2) of the representative strain REG28 were amplified with primers described by Chen et al. (2022). Sequences were deposited in GenBank (PP385777 for ITS, PP781948 for rpb2, and PP781947 for tub2). A maximum likelihood (RAxML) phylogenetic tree based on the combined ITS, rpb2, and tub2 alignments showed REG28, and ex-type CGMCC 3.20069 of D. uniseptata (Chen et al. 2022) formed a subclade with 100% bootstrap support (Fig. S1). The causal agent of this disease was confirmed as D. uniseptata by the morphological, molecular, and pathogenic features described above. Recently, D. macrophylla has been reported as the first record on T. officinale in Russia (Gomzhina et al. 2020). To our knowledge, this is the first report of D. uniseptata causing leaf spots on T. mongolicum worldwide. This information will be useful for the diagnosis, detection, pathogen identification and future control of this disease on T. mongolicum in natural grassland.

4.
Genome Biol ; 25(1): 116, 2024 05 07.
Artigo em Inglês | MEDLINE | ID: mdl-38715020

RESUMO

BACKGROUND: Structural variations (SVs) have significant impacts on complex phenotypes by rearranging large amounts of DNA sequence. RESULTS: We present a comprehensive SV catalog based on the whole-genome sequence of 1060 pigs (Sus scrofa) representing 101 breeds, covering 9.6% of the pig genome. This catalog includes 42,487 deletions, 37,913 mobile element insertions, 3308 duplications, 1664 inversions, and 45,184 break ends. Estimates of breed ancestry and hybridization using genotyped SVs align well with those from single nucleotide polymorphisms. Geographically stratified deletions are observed, along with known duplications of the KIT gene, responsible for white coat color in European pigs. Additionally, we identify a recent SINE element insertion in MYO5A transcripts of European pigs, potentially influencing alternative splicing patterns and coat color alterations. Furthermore, a Yorkshire-specific copy number gain within ABCG2 is found, impacting chromatin interactions and gene expression across multiple tissues over a stretch of genomic region of ~200 kb. Preliminary investigations into SV's impact on gene expression and traits using the Pig Genotype-Tissue Expression (PigGTEx) data reveal SV associations with regulatory variants and gene-trait pairs. For instance, a 51-bp deletion is linked to the lead eQTL of the lipid metabolism regulating gene FADS3, whose expression in embryo may affect loin muscle area, as revealed by our transcriptome-wide association studies. CONCLUSIONS: This SV catalog serves as a valuable resource for studying diversity, evolutionary history, and functional shaping of the pig genome by processes like domestication, trait-based breeding, and adaptive evolution.


Assuntos
Genoma , Variação Estrutural do Genoma , Animais , Sus scrofa/genética , Polimorfismo de Nucleotídeo Único , Suínos/genética , Mapeamento Cromossômico
5.
Nat Genet ; 56(1): 112-123, 2024 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-38177344

RESUMO

The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biological discovery and exploitation in animal breeding and human biomedicine. Here we show results from the pilot phase of PigGTEx by processing 5,457 RNA-sequencing and 1,602 whole-genome sequencing samples passing quality control from pigs. We build a pig genotype imputation panel and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We evaluate tissue specificity of regulatory effects and elucidate molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying 207 pig complex phenotypes and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, supporting the importance of pigs as a human biomedical model.


Assuntos
Perfilação da Expressão Gênica , Regulação da Expressão Gênica , Suínos/genética , Animais , Humanos , Genótipo , Fenótipo , Análise de Sequência de RNA
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA