Dataset Information

Assessing Genetic Diversity of Asian Salamanders (Hynobiidae) lived in Far East Asia using Transcriptome data

ABSTRACT: Asian salamander Hynobiidae is commonly observed in the Far East Asia regions, including Korea, Japan, China, and the eastern region of Russia. In Korea, there are four Hynobiidae species known to be lived: Hynobius leechii, Hynobius quelpaertensis, Hynobius yangi, and recently reported Hynobius unisacculus. However, even H. leechii which is broadly colonized in Korea peninsula seems to have a new species candidate, which has distinctive genetic and phenotypic characteristics. Genomic resources are essential to understand the current status of these species, but due to the large size of their genomes (about 16 to 20 Gb), it is not easy to analyze. To reveal the genomic characteristics of these species, we constructed more than ten thousands of protein-coding gene sequences from multiple samples of each species, using the de novo transcriptome assembly approach from RNA-Seq data, confirming their taxonomic relationship which was reported based on mitochondrial DNA and marker genes. Also, by comparing previously reported transcriptome of Hynobius chinensis and Hynobius retardatus, lived in China and Japan, respectively, we found that Korean species have unique genetic signatures. By comparing vertebrate model organism genes, we reported Hynobidaii specific proteins. These data would be a useful resource to study other Caudata species in the future. This research was supported by the National Institute of Biological Resources, Republic of Korea, under the project "Genetic diversity of animal resources” (NIBR201703203 and NIBR201803101).

ORGANISM(S): Hynobius leechii Hynobius quelpaertensis Hynobius unisacculus Hynobius yangi

PROVIDER: GSE137677 | GEO | 2019/12/24

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:P. yezoensis is an economically important marine crop and highly used seafood in China containing a high number of proteiP. yezoensis is an economically important marine crop and highly used seafood in China containing a high number of proteins. An oomycete, known as Pythium porphyrae, causes the red rot disease that seriously damages Pyropia farms every year in China, Korea, and Japan. To investigate the pathogen responsive proteins after the artificial infection of Pyropia with (P. porphyrae) oomycetes spores, an iTRAQ-based proteomic analysis was performed. A total of 762 differentially expressed proteins (DEP’s) were identified from which 378 proteins were highly expressed and 284 proteins were found to be low expressed. A large number of differentially expressed proteins were identified, which are involved in disease stress, carbohydrate metabolism, photosynthetic activity, and amino acid pathways as annotated in the Kyoto Encyclopedia of Genes and Genomes KEGG database. Our results showed that Pyropia resisted infection by inhibiting photosynthesis, energy and carbohydrate metabolism pathways, as supported by the change in the expression level of related proteins. Thus, the current research data provide an overall summary of the red algae response to pathogen infection. The present study could assist in a better understanding of the mechanisms behind infection resistance in P. yezoensis as well as improve the breeding of Pythium infection tolerant macroalgaens. An oomycete, known as Pythium porphyrae, causes the red rot disease that seriously damages Pyropia farms every year in China, Korea, and Japan. To investigate the pathogen responsive proteins after the artificial infection of Pyropia with (P. porphyrae) oomycetes spores, an iTRAQ-based proteomic analysis was performed. A total of 762 differentially expressed proteins (DEP’s) were identified from which 378 proteins were highly expressed and 284 proteins were found to be low expressed. A large number of differentially expressed proteins were identified, which are involved in disease stress, carbohydrate metabolism, photosynthetic activity, and amino acid pathways as annotated in the Kyoto Encyclopedia of Genes and Genomes KEGG database. Our results showed that Pyropia resisted infection by inhibiting photosynthesis, energy and carbohydrate metabolism pathways, as supported by the change in the expression level of related proteins. Thus, the current research data provide an overall summary of the red algae response to pathogen infection. The present study could assist in a better understanding of the mechanisms behind infection resistance in P. yezoensis as well as improve the breeding of Pythium infection tolerant macroalgae

Project description:Background - The coronavirus disease 2019 (COVID-19) is rapidly spreading in China and more than 30 countries over last two months. COVID-19 has multiple characteristics distinct from other infectious diseases, including high infectivity during incubation, time delay between real dynamics and daily observed number of confirmed cases, and the intervention effects of implemented quarantine and control measures. Methods - We develop a Susceptible, Un-quanrantined infected, Quarantined infected, Confirmed infected (SUQC) model to characterize the dynamics of COVID-19 and explicitly parameterize the intervention effects of control measures, which is more suitable for analysis than other existing epidemic models. Results - The SUQC model is applied to the daily released data of the confirmed infections to analyze the outbreak of COVID-19 in Wuhan, Hubei (excluding Wuhan), China (excluding Hubei) and four first-tier cities of China. We found that, before January 30, 2020, all these regions except Beijing had a reproductive number R &gt; 1, and after January 30, all regions had a reproductive number R lesser than 1, indicating that the quarantine and control measures are effective in preventing the spread of COVID-19. The confirmation rate of Wuhan estimated by our model is 0.0643, substantially lower than that of Hubei excluding Wuhan (0.1914), and that of China excluding Hubei (0.2189), but it jumps to 0.3229 after February 12 when clinical evidence was adopted in new diagnosis guidelines. The number of unquarantined infected cases in Wuhan on February 12, 2020 is estimated to be 3,509 and declines to 334 on February 21, 2020. After fitting the model with data as of February 21, 2020, we predict that the end time of COVID-19 in Wuhan and Hubei is around late March, around mid March for China excluding Hubei, and before early March 2020 for the four tier-one cities. A total of 80,511 individuals are estimated to be infected in China, among which 49,510 are from Wuhan, 17,679 from Hubei (excluding Wuhan), and the rest 13,322 from other regions of China (excluding Hubei). Note that the estimates are from a deterministic ODE model and should be interpreted with some uncertainty. Conclusions - We suggest that rigorous quarantine and control measures should be kept before early March in Beijing, Shanghai, Guangzhou and Shenzhen, and before late March in Hubei. The model can also be useful to predict the trend of epidemic and provide quantitative guide for other countries at high risk of outbreak, such as South Korea, Japan, Italy and Iran.

Dataset Information

Assessing Genetic Diversity of Asian Salamanders (Hynobiidae) lived in Far East Asia using Transcriptome data

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure