72 research outputs found
Signatures of divergence, invasiveness, and terrestrialization revealed by four apple snail genomes
The family Ampullariidae includes both aquatic and amphibious apple snails. They are an emerging model for evolutionary studies due to the high diversity, ancient history, and wide geographical distribution. Insight into drivers of ampullariid evolution is hampered, however, by the lack of genomic resources. Here, we report the genomes of four ampullariids spanning the Old World (Lanistes nyassanus) and New World (Pomacea canaliculata, P. maculata, and Marisa cornuarietis) clades. The ampullariid genomes have conserved ancient bilaterial karyotype features and a novel Hox gene cluster rearrangement, making them valuable in comparative genomic studies. They have expanded gene families related to environmental sensing and cellulose digestion, which may have facilitated some ampullarids to become notorious invasive pests. In the amphibious Pomacea, novel acquisition of an egg neurotoxin and a protein for making the calcareous eggshell may have been key adaptations enabling their transition from underwater to terrestrial egg deposition.Fil: Sun, Jin. Hong Kong University of Science and Technology; Hong KongFil: Mu, Huawei. Hong Kong Baptist University; Hong KongFil: Ip, Jack Chi Ho. Hong Kong Baptist University; Hong KongFil: Li, Runsheng. Hong Kong Baptist University; Hong KongFil: Xu, Ting. Hong Kong Baptist University; Hong KongFil: Accorsi, Alice. Howard Hughes Medical Institute; Estados Unidos. Stowers Institute for Medical Research; Estados UnidosFil: Alvarado, Alejandro Sanchez. Howard Hughes Medical Institute; Estados Unidos. Stowers Institute for Medical Research; Estados UnidosFil: Ross, Eric. Howard Hughes Medical Institute; Estados Unidos. Stowers Institute for Medical Research; Estados UnidosFil: Lan, Yi. Hong Kong University of Science and Technology; Hong KongFil: Sun, Yanan. Hong Kong University of Science and Technology; Hong KongFil: Castro Vazquez, Alfredo Juan. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - Mendoza. Instituto de HistologĂa y EmbriologĂa de Mendoza Dr. Mario H. Burgos. Universidad Nacional de Cuyo. Facultad de Ciencias MĂ©dicas. Instituto de HistologĂa y EmbriologĂa de Mendoza Dr. Mario H. Burgos; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias MĂ©dicas. Instituto de FisiologĂa; ArgentinaFil: Vega, Israel AnĂbal. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - Mendoza. Instituto de HistologĂa y EmbriologĂa de Mendoza Dr. Mario H. Burgos. Universidad Nacional de Cuyo. Facultad de Ciencias MĂ©dicas. Instituto de HistologĂa y EmbriologĂa de Mendoza Dr. Mario H. Burgos; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias MĂ©dicas. Instituto de FisiologĂa; ArgentinaFil: Heras, Horacio. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - La Plata. Instituto de Investigaciones BioquĂmicas de La Plata "Prof. Dr. Rodolfo R. Brenner". Universidad Nacional de la Plata. Facultad de Ciencias MĂ©dicas. Instituto de Investigaciones BioquĂmicas de La Plata "Prof. Dr. Rodolfo R. Brenner"; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo; ArgentinaFil: Ituarte, Santiago. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - Mendoza. Instituto de HistologĂa y EmbriologĂa de Mendoza Dr. Mario H. Burgos. Universidad Nacional de Cuyo. Facultad de Ciencias MĂ©dicas. Instituto de HistologĂa y EmbriologĂa de Mendoza Dr. Mario H. Burgos; ArgentinaFil: Van Bocxlaer, Bert. Centre National de la Recherche Scientifique; FranciaFil: Hayes, Kenneth A.. Bernice Pauahi Bishop Museum; Estados UnidosFil: Cowie, Robert H.. University of Hawaii. Pacific Biosciences Research Center; Estados UnidosFil: Zhao, Zhongying. Hong Kong Baptist University; Hong KongFil: Zhang, Yu. Shenzhen University. College of Life Sciences and Oceanography. Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science; ArgentinaFil: Qian, Pei-Yuan. Hong Kong University of Science and Technology; Hong KongFil: Qiu, Jian-Wen. Hong Kong Baptist University; Hong Kon
An Attempt to Understand Kidney's Protein Handling Function by Comparing Plasma and Urine Proteomes
With the help of proteomics technology, the human plasma and urine proteomes, which closely represent the protein compositions of the input and output of the kidney, respectively, have been profiled in much greater detail by different research teams. Many datasets have been accumulated to form âreference profilesâ of the plasma and urine proteomes. Comparing these two proteomes may help us understand the protein handling aspect of kidney function in a way, however, which has been unavailable until the recent advances in proteomics technology.After removing secreted proteins downstream of the kidney, 2611 proteins in plasma and 1522 in urine were identified with high confidence and compared based on available proteomic data to generate three subproteomes, the plasma-only subproteome, the plasma-and-urine subproteome, and the urine-only subproteome, and they correspond to three groups of proteins that are handled in three different ways by the kidney. The available experimental molecular weights of the proteins in the three subproteomes were collected and analyzed. Since the functions of the overrepresented proteins in the plasma-and-urine subproteome are probably the major functions that can be routinely regulated by excretion from the kidney in physiological conditions, Gene Ontology term enrichment in the plasma-and-urine subproteome versus the whole plasma proteome was analyzed. Protease activity, calcium and growth factor binding proteins, and coagulation and immune response-related proteins were found to be enriched.The comparison method described in this paper provides an illustration of a new approach for studying organ functions with a proteomics methodology. Because of its distinctive input (plasma) and output (urine), it is reasonable to predict that the kidney will be the first organ whose functions are further elucidated by proteomic methods in the near future. It can also be anticipated that there will be more applications for proteomics in organ function research
Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome
Genome tiling microarray studies have consistently documented rich transcriptional activity beyond the annotated genes. However, systematic characterization and transcriptional profiling of the putative novel transcripts on the genome scale are still lacking. We report here the identification of 25,352 and 27,744 transcriptionally active regions (TARs) not encoded by annotated exons in the rice (Oryza. sativa) subspecies japonica and indica, respectively. The non-exonic TARs account for approximately two thirds of the total TARs detected by tiling arrays and represent transcripts likely conserved between japonica and indica. Transcription of 21,018 (83%) japonica non-exonic TARs was verified through expression profiling in 10 tissue types using a re-array in which annotated genes and TARs were each represented by five independent probes. Subsequent analyses indicate that about 80% of the japonica TARs that were not assigned to annotated exons can be assigned to various putatively functional or structural elements of the rice genome, including splice variants, uncharacterized portions of incompletely annotated genes, antisense transcripts, duplicated gene fragments, and potential non-coding RNAs. These results provide a systematic characterization of non-exonic transcripts in rice and thus expand the current view of the complexity and dynamics of the rice transcriptome
Testing for market integration among southern pine regions
Co-integration spatial equilibrium Dicky-Fuller test Johansen test stationarity timber supply modeling
Geological Characteristic and Genesis of YuLu PbâSn Deposit Metallogenesis in HuiZe, YunNan
Research on Damage Tree Bayesian Network Simulation Metamodel Based on Fault Tree Analysis
LRIK interacts with the Ku70âKu80 heterodimer enhancing the efficiency of NHEJ repair
Despite recent advances in our understanding of the function of long noncoding RNAs (lncRNAs), their roles and functions in DNA repair pathways remain poorly understood. By screening a panel of uncharacterized lncRNAs to identify those whose transcription is induced by double-strand breaks (DSBs), we identified a novel lncRNA referred to as LRIK that interacts with Ku, which enhances the ability of the Ku heterodimer to detect the presence of DSBs. Here, we show that depletion of LRIK generates significantly enhanced sensitivity to DSB-inducing agents and reduced DSB repair efficiency. In response to DSBs, LRIK enhances the recruitment of repair factors at DSB sites and facilitates ÎłH2AX signaling. Our results demonstrate that LRIK is necessary for efficient repairing DSBs via nonhomologous end-joining pathway
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