Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2017.08.003
Jill Gaskell , Phil Kersten , Luis F. Larrondo , Paulo Canessa , Diego Martinez , David Hibbett , Monika Schmoll , Christian P. Kubicek , Angel T. Martinez , Jagjit Yadav , Emma Master , Jon Karl Magnuson , Debbie Yaver , Randy Berka , Kathleen Lail , Cindy Chen , Kurt LaButti , Matt Nolan , Anna Lipzen , Andrea Aerts , Dan Cullen
{"title":"Draft genome sequence of a monokaryotic model brown-rot fungus Postia (Rhodonia) placenta SB12","authors":"Jill Gaskell , Phil Kersten , Luis F. Larrondo , Paulo Canessa , Diego Martinez , David Hibbett , Monika Schmoll , Christian P. Kubicek , Angel T. Martinez , Jagjit Yadav , Emma Master , Jon Karl Magnuson , Debbie Yaver , Randy Berka , Kathleen Lail , Cindy Chen , Kurt LaButti , Matt Nolan , Anna Lipzen , Andrea Aerts , Dan Cullen","doi":"10.1016/j.gdata.2017.08.003","DOIUrl":"https://doi.org/10.1016/j.gdata.2017.08.003","url":null,"abstract":"","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 21-23"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.08.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91634695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2017.10.003
Jaeyoung Choi , Gir-Won Lee , Ki-Tae Kim , Jongbum Jeon , Nicolas Détry , Hsiao-Che Kuo , Hui Sun , Fred O. Asiegbu , Yong-Hwan Lee
{"title":"Comparative analysis of genome sequences of the conifer tree pathogen, Heterobasidion annosum s.s.","authors":"Jaeyoung Choi , Gir-Won Lee , Ki-Tae Kim , Jongbum Jeon , Nicolas Détry , Hsiao-Che Kuo , Hui Sun , Fred O. Asiegbu , Yong-Hwan Lee","doi":"10.1016/j.gdata.2017.10.003","DOIUrl":"https://doi.org/10.1016/j.gdata.2017.10.003","url":null,"abstract":"<div><p>The causal agent of root and butt rot of conifer trees, <em>Heterobasidion annosum</em>, is widespread in boreal forests and economically responsible for annual loss of approximately 50 million euros to forest industries in Finland alone and much more at European level. In order to further understand the pathobiology of this fungus at the genome level, a Finnish isolate of <em>H. annosum sensu stricto</em> (isolate 03012) was sequenced and analyzed with the genome sequences of 23 white-rot and 13 brown-rot fungi. The draft genome assembly of <em>H. annosum</em> has a size of 31.01<!--> <!-->Mb, containing 11,453 predicted genes. Whole genome alignment showed that 84.38% of <em>H. annosum</em> genome sequences were aligned with those of previously sequenced <em>H. irregulare</em> TC 32-1 counterparts. The result is further supported by the protein sequence clustering analysis which revealed that the two genomes share 6719 out of 8647 clusters. When sequencing reads of <em>H. annosum</em> were aligned against the genome sequences of <em>H. irregulare</em>, six single nucleotide polymorphisms were found in every 1<!--> <!-->kb, on average. In addition, 98.68% of SNPs were found to be homo-variants, suggesting that the two species have long evolved from different niches. Gene family analysis revealed that most of the white-rot fungi investigated had more gene families involved in lignin degradation or modification, including laccases and peroxidase. Comparative analysis of the two <em>Heterobasidion</em> spp. as well as white-/brown-rot fungi would provide new insights for understanding the pathobiology of the conifer tree pathogen.</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 106-113"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.10.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90002091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2015.11.021
M. Gu, V.Y. Poon
{"title":"Genome-wide analysis of mouse cortical neurons lacking miR-27b","authors":"M. Gu, V.Y. Poon","doi":"10.1016/j.gdata.2015.11.021","DOIUrl":"10.1016/j.gdata.2015.11.021","url":null,"abstract":"<div><p>MicroRNAs (miRNAs), short non-coding RNAs that repress gene expression <span>[1]</span>, have recently emerged as important regulators of synaptic transmission and plasticity in the central nervous system <span>[2]</span>. This suggests an important role of this gene silencing mechanism in brain function both in health and disease states <span>[3]</span>. We previously reported a novel function of disease-associated miR-27b in promoting presynaptic assembly <span>[4]</span>. To further understand the role of this miRNA in the brain, we knocked down miR-27b in mouse cortical neurons and studied the impact of this perturbation on the transcriptome (GSE73275).</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 141-143"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2015.11.021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42001889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2017.08.001
Hengyou Zhang, Bao-Hua Song
{"title":"RNA-seq data comparisons of wild soybean genotypes in response to soybean cyst nematode (Heterodera glycines)","authors":"Hengyou Zhang, Bao-Hua Song","doi":"10.1016/j.gdata.2017.08.001","DOIUrl":"https://doi.org/10.1016/j.gdata.2017.08.001","url":null,"abstract":"<div><p>Soybean [<em>Glycine max</em> (L.) Merr.] is an important crop rich in vegetable protein and oil, and is a staple food for human and animals worldwide. However, soybean plants have been challenged by soybean cyst nematode (SCN, <em>Heterodera glycines</em>), one of the most damaging pests found in soybean fields. Applying SCN-resistant cultivars is the most efficient and environmentally friendly strategy to manage SCN. Currently, soybean breeding and further improvement in soybean agriculture are hindered by severely limited genetic diversity in cultivated soybeans. <em>G</em>. <em>soja</em> is a soybean wild progenitor with much higher levels of genetic diversity compared to cultivated soybeans. In this study, transcriptomes of the resistant and susceptible genotypes of the wild soybean, <em>Glycine soja</em> Sieb & Zucc, were sequenced to examine the genetic basis of SCN resistance. Seedling roots were treated with infective second-stage juveniles (J2s) of the soybean cyst nematode (HG type 2.5.7) for 3, 5, 8<!--> <!-->days and pooled for library construction and RNA sequencing. The transcriptome sequencing generated approximately 245 million (M) high quality (Q<!--> <!-->><!--> <!-->30) raw sequence reads (125<!--> <!-->bp in length) for twelve libraries. The raw sequence reads were deposited in NCBI sequence read archive (SRA) database, with the accession numbers SRR5227314-25. Further analysis of this data would be helpful to improve our understanding of the molecular mechanisms of soybean-SCN interaction and facilitate the development of diverse SCN resistance cultivars.</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 36-39"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.08.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90015405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2017.07.012
Rupa Iyer , Brian Iken , Ashish Damania
{"title":"Whole genome of Klebsiella aerogenes PX01 isolated from San Jacinto River sediment west of Baytown, Texas reveals the presence of multiple antibiotic resistance determinants and mobile genetic elements","authors":"Rupa Iyer , Brian Iken , Ashish Damania","doi":"10.1016/j.gdata.2017.07.012","DOIUrl":"https://doi.org/10.1016/j.gdata.2017.07.012","url":null,"abstract":"<div><p><em>Klebsiella aerogenes</em> is a Gram-negative bacterium of the family <em>Enterobacteriaceae</em> which is widely distributed in water, air and soil. It also forms part of the normal microbiota found in human and animal gastrointestinal tracts. Here we report the draft genome sequence (chromosome and 1 plasmid) of <em>K. aerogenes</em> strain PX01 compiled at the scaffold level from 97 contigs totaling 5,262,952<!--> <!-->bp. <em>K. aerogenes</em> PX01 was isolated from sediment along the northern face of Burnet Bay west of Baytown, Texas. The nucleotide sequence of this genome was deposited into NCBI GenBank under the accession NJBB00000000.</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 7-9"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.07.012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91634587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2017.07.011
Rupa Iyer , Brian Iken , Ashish Damania
{"title":"Genome of Pseudomonas nitroreducens DF05 from dioxin contaminated sediment downstream of the San Jacinto River waste pits reveals a broad array of aromatic degradation gene determinants","authors":"Rupa Iyer , Brian Iken , Ashish Damania","doi":"10.1016/j.gdata.2017.07.011","DOIUrl":"https://doi.org/10.1016/j.gdata.2017.07.011","url":null,"abstract":"<div><p><em>P</em>. <em>nitroreducens</em> DF05 is a Gram negative, motile, aerobic, rod-shaped and psychrotrophic bacterium that was isolated from contaminated San Jacinto River sediment near River Terrace Park in Channelview, Texas. The draft genome of strain DF05 consists of a total of 192 contigs assembled at the scaffold level totaling 6,487,527<!--> <!-->bp and encoding for 5862 functional proteins, 1116 of which are annotated as hypothetical proteins. The bacterial chromosome has a GC content of 65.15% and contains 22 rRNA and 70 tRNA loci. In addition, approximately 142 proteins localized on the bacterial chromosome are associated with metabolism of aromatic compounds. A single plasmid approximately 95<!--> <!-->kb in size was also detected carrying copies of RNA genes and multiple phage assembly proteins.</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 40-43"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.07.011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91634702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparative metagenomics reveals alterations in the soil bacterial community driven by N-fertilizer and Amino 16® application in lettuce","authors":"Apostolos Kalivas , Ioannis Ganopoulos , Fotis Psomopoulos , Ioannis Grigoriadis , Aliki Xanthopoulou , Evangelos Hatzigiannakis , Maslin Osathanunkul , Athanasios Tsaftaris , Panagiotis Madesis","doi":"10.1016/j.gdata.2017.07.013","DOIUrl":"10.1016/j.gdata.2017.07.013","url":null,"abstract":"<div><p>Nutrients in the form of fertilizers and/or other additives such as amino acids, dramatically influence plant development and growth, plant nutrient composition and the level of soil pollution. Moreover, the treatment of soil microbiota is emerging as a new strategy in plant breeding to achieve desirable traits. Thus, integrated study of fertilizer application and soil microbiota might lead to a better understanding of soil-plant interactions and inform the design of novel ways to fertilize plants. Herein we report metagenomics data for soil microbiota in lettuce (<em>Lactuca sativa</em>) treated with fertilizer, amino acids or their combinations as follows: N-fertilizer<!--> <!-->+<!--> <!-->Amino16®, Amino16®, N-fertilizer and no treatment control. Data have been deposited in the NCBI Sequence Read Archive (SRA) (accession number: PRJNA388765).</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 14-17"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.07.013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35311415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2017.09.002
A. Canaguier , J. Grimplet , G. Di Gaspero , S. Scalabrin , E. Duchêne , N. Choisne , N. Mohellibi , C. Guichard , S. Rombauts , I. Le Clainche , A. Bérard , A. Chauveau , R. Bounon , C. Rustenholz , M. Morgante , M.-C. Le Paslier , D. Brunel , A.-F. Adam-Blondon
{"title":"A new version of the grapevine reference genome assembly (12X.v2) and of its annotation (VCost.v3)","authors":"A. Canaguier , J. Grimplet , G. Di Gaspero , S. Scalabrin , E. Duchêne , N. Choisne , N. Mohellibi , C. Guichard , S. Rombauts , I. Le Clainche , A. Bérard , A. Chauveau , R. Bounon , C. Rustenholz , M. Morgante , M.-C. Le Paslier , D. Brunel , A.-F. Adam-Blondon","doi":"10.1016/j.gdata.2017.09.002","DOIUrl":"10.1016/j.gdata.2017.09.002","url":null,"abstract":"","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 56-62"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.09.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35409717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2017.10.004
Yue Li , An Zeng , Xiao-Shuan Han , Ge Li , Yong-Qin Li , Bairong Shen , Qing Jing
{"title":"Small RNAome sequencing delineates the small RNA landscape of pluripotent adult stem cells in the planarian Schmidtea mediterranea","authors":"Yue Li , An Zeng , Xiao-Shuan Han , Ge Li , Yong-Qin Li , Bairong Shen , Qing Jing","doi":"10.1016/j.gdata.2017.10.004","DOIUrl":"https://doi.org/10.1016/j.gdata.2017.10.004","url":null,"abstract":"<div><p>Small noncoding RNAs play a pivotal role in the regulation of gene expression, and are key regulators of animal development. Freshwater planarian exhibits an extraordinary ability to regenerate any missing body parts, representing an emerging model for studying mechanism underlying stem cell regulation and tissue regeneration.</p><p>Here, we utilized next-generation sequencing (NGS) to identify small RNAs that are expressed in planarian adult stem cells, and are implicated in tissue regeneration. We profiled microRNAs (miRNAs), piwi-interacting RNA (piRNAs), small rDNA-derived RNAs (srRNAs) and endogenous interfering RNAs (<em>endo</em>-siRNAs) population from size 18–30<!--> <!-->nt, measured the expression of 244 conserved miRNAs, and identified 41 novel miRNAs and 64 novel endo-siRNAs. Expression profiling analyses revealed that most piRNAs and srRNAs are up-regulated during regeneration, and that the most abundantly expressed srRNAs are from 5.8s and 28s rRNA. Furthermore, a target prediction method was adopted to investigate the anti-correlation of small RNAs and mRNA expression. We built up a gene regulatory network based on the genes that are targeted by dynamically changed small RNAs.</p><p>These results expand the known small RNA repertoire in planarian, and provide valuable insights and a rich resource for understanding the small RNAs landscape in stem cell-mediated regeneration.</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 114-125"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.10.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91634586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genomics DataPub Date : 2017-12-01DOI: 10.1016/j.gdata.2017.10.005
Yong Huang, Jian Li Xiong, Xiao Chan Gao, Xi Hong Sun
{"title":"Transcriptome analysis of the Chinese giant salamander (Andrias davidianus) using RNA-sequencing","authors":"Yong Huang, Jian Li Xiong, Xiao Chan Gao, Xi Hong Sun","doi":"10.1016/j.gdata.2017.10.005","DOIUrl":"https://doi.org/10.1016/j.gdata.2017.10.005","url":null,"abstract":"<div><p>The Chinese giant salamander (<em>Andrias davidianus</em>) is an economically important animal on academic value. However, the genomic information of this species has been less studied. In our study, the transcripts of <em>A. davidianus</em> were obtained by RNA-seq to conduct a transcriptomic analysis. In total 132,912 unigenes were generated with an average length of 690<!--> <!-->bp and N50 of 1263<!--> <!-->bp by de novo assembly using Trinity software. Using a sequence similarity search against the nine public databases (CDD, KOG, NR, NT, PFAM, Swiss-prot, TrEMBL, GO and KEGG databases), a total of 24,049, 18,406, 36,711, 15,858, 20,500, 27,515, 36,705, 28,879 and 10,958 unigenes were annotated in databases, respectively. Of these, 6323 unigenes were annotated in all database and 39,672 unigenes were annotated in at least one database. Blasted with KEGG pathway, 10,958 unigenes were annotated, and it was divided into 343 categories according to different pathways. In addition, we also identified 29,790 SSRs. This study provided a valuable resource for understanding transcriptomic information of <em>A. davidianus</em> and laid a foundation for further research on functional gene cloning, genomics, genetic diversity analysis and molecular marker exploitation in <em>A. davidianus</em>.</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 126-131"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.10.005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91634585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}