المؤلفون: Yulin Bai, Mei Wang, Ji Zhao, Huaqiang Bai, Xinyi Zhang, Jiaying Wang, Qiaozhen Ke, Ang Qu, Fei Pu, Weiqiang Zheng, Tao Zhou, Peng Xu

المصدر: BMC Genomics, Vol 23, Iss 1, Pp 1-15 (2022)

مصطلحات موضوعية: Larimichthys crocea, Cryptocaryon irritans, Comparative transcriptome, Immune response, Immunosuppression, Hub gene, Biotechnology, TP248.13-248.65, Genetics, QH426-470

الوصف: Abstract Background Cryptocaryonosis caused by Cryptocaryon irritans is one of the major diseases of large yellow croaker (Larimichthys crocea), which lead to massive economic losses annually to the aquaculture industry of L. crocea. Although there have been some studies on the pathogenesis for cryptocaryonosis, little is known about the innate defense mechanism of different immune organs of large yellow croaker. Results In order to analyze the roles of long non-coding RNAs and genes specifically expressed between immune organs during the infection of C. irritans, in this study, by comparing transcriptome data from different tissues of L. crocea, we identified tissue-specific transcripts in the gills and skin, including 507 DE lncRNAs and 1592 DEGs identified in the gills, and 110 DE lncRNAs and 1160 DEGs identified in the skin. Furthermore, we constructed transcriptome co-expression profiles of L. crocea gill and skin, including 7,503 long noncoding RNAs (lncRNAs) and 23,172 protein-coding genes. Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed that the DEGs and the target genes of the DE lncRNAs in the gill were specifically enriched in several pathways related to immune such as HIF-1 signaling pathway. The target genes of DE lncRNAs and DEGs in the skin are specifically enriched in the complement and coagulation cascade pathways. Protein–protein interaction (PPI) network analysis identified 3 hub genes including NFKBIA, TNFAIP3 and CEBPB, and 5 important DE lncRNAs including MSTRG.24134.4, MSTRG.3038.5, MSTRG.27019.3, MSTRG.26559.1, and MSTRG.10983.1. The expression patterns of 6 randomly selected differentially expressed immune-related genes were validated using the quantitative real-time PCR method. Conclusions In short, our study is helpful to explore the potential interplay between lncRNAs and protein coding genes in different tissues of L. crocea post C. irritans and the molecular mechanism of pathogenesis for cryptocaryonosis. Highlights Skin and gills are important sources of pro-inflammatory molecules, and their gene expression patterns are tissue-specific after C. irritans infection. 15 DEGs and 5 DE lncRNAs were identified as hub regulatory elements after C. irritans infection The HIF-1 signaling pathway and the complement and coagulation cascade pathway may be key tissue-specific regulatory pathways in gills and skin, respectively.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1471-2164Test

الوصول الحر: https://doaj.org/article/36f841340db44519ac59fb965ff57f95Test

المؤلفون: Yulin Bai, Mei Wang, Ji Zhao, Huaqiang Bai, Xinyi Zhang, Jiaying Wang, Qiaozhen Ke, Ang Qu, Fei Pu, Weiqiang Zheng, Tao Zhou, Peng Xu

المصدر: BMC Genomics, Vol 23, Iss 1, Pp 1-1 (2022)

مصطلحات موضوعية: Biotechnology, TP248.13-248.65, Genetics, QH426-470

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1471-2164Test

الوصول الحر: https://doaj.org/article/024263270db64450878166e16a7ac3cbTest

المؤلفون: Fengyan Zhou, Yong Zhang, Wei Tang, Mei Wang, Tongchun Gao

المصدر: BMC Genomics, Vol 18, Iss 1, Pp 1-13 (2017)

مصطلحات موضوعية: RNA sequencing, Transcriptomics, Herbicide resistance, Polypogon fugax, Clodinafop-propargyl, Flowering, Biotechnology, TP248.13-248.65, Genetics, QH426-470

الوصف: Abstract Background Asia minor bluegrass (Polypogon fugax, P. fugax), a weed that is both distributed across China and associated with winter crops, has evolved resistance to acetyl-CoA carboxylase (ACCase) herbicides, but the resistance mechanism remains unclear. The goal of this study was to analyze the transcriptome between resistant and sensitive populations of P. fugax at the flowering stage. Results Populations resistant and susceptible to clodinafop-propargyl showed distinct transcriptome profiles. A total of 206,041 unigenes were identified; 165,901 unique sequences were annotated using BLASTX alignment databases. Among them, 5904 unigenes were classified into 58 transcription factor families. Nine families were related to the regulation of plant growth and development and to stress responses. Twelve unigenes were differentially expressed between the clodinafop-propargyl-sensitive and clodinafop-propargyl-resistant populations at the early flowering stage; among those unigenes, three belonged to the ABI3VP1, BHLH, and GRAS families, while the remaining nine belonged to the MADS family. Compared with the clodinafop-propargyl-sensitive plants, the resistant plants exhibited different expression pattern of these 12 unigenes. Conclusion This study identified differentially expressed unigenes related to ACCase-resistant P. fugax and thus provides a genomic resource for understanding the molecular basis of early flowering.

وصف الملف: electronic resource

العلاقة: http://link.springer.com/article/10.1186/s12864-017-4324-zTest; https://doaj.org/toc/1471-2164Test

الوصول الحر: https://doaj.org/article/29870bcca7a944a4a21d6270e54fbe89Test

المؤلفون: Yulin Bai, Mei Wang, Ji Zhao, Huaqiang Bai, Xinyi Zhang, Jiaying Wang, Qiaozhen Ke, Ang Qu, Fei Pu, Weiqiang Zheng, Tao Zhou, Peng Xu

المصدر: BMC genomics. 23(1)

مصطلحات موضوعية: Gills, Fish Diseases, Gene Expression Profiling, Genetics, Animals, Ciliophora Infections, RNA, Long Noncoding, RNA, Messenger, Transcriptome, Biotechnology, Perciformes

الوصف: Background Cryptocaryonosis caused by Cryptocaryon irritans is one of the major diseases of large yellow croaker (Larimichthys crocea), which lead to massive economic losses annually to the aquaculture industry of L. crocea. Although there have been some studies on the pathogenesis for cryptocaryonosis, little is known about the innate defense mechanism of different immune organs of large yellow croaker. Results In order to analyze the roles of long non-coding RNAs and genes specifically expressed between immune organs during the infection of C. irritans, in this study, by comparing transcriptome data from different tissues of L. crocea, we identified tissue-specific transcripts in the gills and skin, including 507 DE lncRNAs and 1592 DEGs identified in the gills, and 110 DE lncRNAs and 1160 DEGs identified in the skin. Furthermore, we constructed transcriptome co-expression profiles of L. crocea gill and skin, including 7,503 long noncoding RNAs (lncRNAs) and 23,172 protein-coding genes. Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed that the DEGs and the target genes of the DE lncRNAs in the gill were specifically enriched in several pathways related to immune such as HIF-1 signaling pathway. The target genes of DE lncRNAs and DEGs in the skin are specifically enriched in the complement and coagulation cascade pathways. Protein–protein interaction (PPI) network analysis identified 3 hub genes including NFKBIA, TNFAIP3 and CEBPB, and 5 important DE lncRNAs including MSTRG.24134.4, MSTRG.3038.5, MSTRG.27019.3, MSTRG.26559.1, and MSTRG.10983.1. The expression patterns of 6 randomly selected differentially expressed immune-related genes were validated using the quantitative real-time PCR method. Conclusions In short, our study is helpful to explore the potential interplay between lncRNAs and protein coding genes in different tissues of L. crocea post C. irritans and the molecular mechanism of pathogenesis for cryptocaryonosis. Highlights Skin and gills are important sources of pro-inflammatory molecules, and their gene expression patterns are tissue-specific after C. irritans infection. 15 DEGs and 5 DE lncRNAs were identified as hub regulatory elements after C. irritans infection The HIF-1 signaling pathway and the complement and coagulation cascade pathway may be key tissue-specific regulatory pathways in gills and skin, respectively.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc97a6c31be0ef462bdd312286820ddbTest
https://pubmed.ncbi.nlm.nih.gov/35578173Test

المؤلفون: Jing Jin, Zhen-Jiang Li, Shu-Wei Wang, Shan-Mei Wang, Song-Jian Chen, De-Hai Huang, Gai Zhang, Ya-Hui Li, Xiao-Ting Wang, Jin Wang, Guo-Qiang Zhao

المصدر: BMC Genomics; 2014, Vol. 15 Issue 1, p793-806, 14p, 4 Diagrams, 3 Charts, 3 Graphs

مستخلص: Background: Phage ZZ1, which efficiently infects pathogenic Acinetobacter baumannii strains, is the fifth completely sequenced T4-like Acinetobacter phage to date. To gain a better understanding of the genetic characteristics of ZZ1, bioinformatics and comparative genomic analyses of the T4 phages were performed. Results: The 166,687-bp double-stranded DNA genome of ZZ1 has the lowest GC content (34.4%) of the sequenced T4-like Acinetobacter phages. A total of 256 protein-coding genes and 8 tRNA genes were predicted. Forty-three percent of the predicted ZZ1 proteins share up to 73% amino acid identity with T4 proteins, and the homologous genes generally retained the same order and transcriptional direction. Beyond the conserved structural and DNA replication modules, T4 and ZZ1 have diverged substantially by the acquisition and deletion of large blocks of unrelated genes, especially in the first halves of their genomes. In addition, ZZ1 and the four other T4-like Acinetobacter phage genomes (Acj9, Acj61, 133, and Ac42) share a well-organised and highly conserved core genome, particularly in the regions encoding DNA replication and virion structural proteins. Of the ZZ1 proteins, 70, 64, 61, and 56% share up to 86, 85, 81, and 83% amino acid identity with Acj9, Acj61, 133, and Ac42 proteins, respectively. ZZ1 has a different number and types of tRNAs than the other 4 Acinetobacter phages, although some of the ZZ1-encoded tRNAs share high sequence similarity with the tRNAs from these phages. Over half of ZZ1-encoded tRNAs (5 out of 8) are related to optimal codon usage for ZZ1 proteins. However, this correlation was not present in any of the other 4 Acinetobacter phages. Conclusions: The comparative genomic analysis of these phages provided some new insights into the evolution and diversity of Acinetobacter phages, which might elucidate the evolutionary origin and host-specific adaptation of these phages. [ABSTRACT FROM AUTHOR]

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المؤلفون: Dao-Qiong Zheng¹, Pin-Mei Wang¹, Jie Chen¹, Ke Zhang¹, Tian-Zhe Liu¹, Xue-Chang Wu¹ mblab@163.com, Yu-Dong Li¹ youdng@gmail.com, Yu-Hua Zhao¹

المصدر: BMC Genomics. 2012, Vol. 13 Issue 1, p479-491. 13p. 1 Diagram, 1 Chart, 4 Graphs.

مصطلحات موضوعية: *ENVIRONMENTAL engineering, *SACCHAROMYCES cerevisiae, *MESSENGER RNA, *GENOMES, *GENETICS

مستخلص: Background: Environmental stresses and inhibitors encountered by Saccharomyces cerevisiae strains are the main limiting factors in bioethanol fermentation. Strains with different genetic backgrounds usually show diverse stress tolerance responses. An understanding of the mechanisms underlying these phenotypic diversities within S. cerevisiae populations could guide the construction of strains with desired traits. Results: We explored the genetic characteristics of the bioethanol S. cerevisiae strain YJS329 and elucidated how genetic variations in its genome were correlated with specified traits compared to similar traits in the S288c-derived strain, BYZ1. Karyotypic electrophoresis combined with array-comparative genomic hybridization indicated that YJS329 was a diploid strain with a relatively constant genome as a result of the fewer Ty elements and lack of structural polymorphisms between homologous chromosomes that it contained. By comparing the sequence with the S288c genome, a total of 64,998 SNPs, 7,093 indels and 11 unique genes were identified in the genome of YJS329-derived haploid strain YJSH1 through whole-genome sequencing. Transcription comparison using RNA-Seq identified which of the differentially expressed genes were the main contributors to the phenotypic differences between YJS329 and BYZ1. By combining the results obtained from the genome sequences and the transcriptions, we predicted how the SNPs, indels and chromosomal copy number variations may affect the mRNA expression profiles and phenotypes of the yeast strains. Furthermore, some genetic breeding strategies to improve the adaptabilities of YJS329 were designed and experimentally verified. Conclusions: Through comparative functional genomic analysis, we have provided some insights into the mechanisms underlying the specific traits of the bioenthanol strain YJS329. The work reported here has not only enriched the available genetic resources of yeast but has also indicated how functional genomic studies can be used to improve genetic breeding in yeast. [ABSTRACT FROM AUTHOR]