Previous Annotation Research Articles

MCF-7 as a Model for Functional Analysis of Breast Cancer Risk Variants.

Breast cancer genetic predisposition is governed by more than 142 loci as revealed by genome-wide association studies (GWAS). The functional contribution of these risk loci to breast cancer remains unclear, and additional post-GWAS analyses are required. We identified active regulatory elements (enhancers, promoters, and chromatin organizing elements) by histone H3K27 acetylation and CTCF occupancy and determined the enrichment of risk variants at these sites. We compared these results with previously published data and for other cell lines, including human mammary epithelial cells, and related these data to gene expression. In terms of mapping accuracy and resolution, our data augment previous annotations of the MCF-7 epigenome. After intersection with GWAS risk variants, we found 39 enhancers and 15 CTCF occupancy sites that, between them, overlapped 96 breast cancer credible risk variants at 42 loci. These risk enhancers likely regulate the expression of dozens of genes, which are enriched for GO categories, including estrogen and prolactin signaling. Ten (of 142) breast cancer risk loci likely function via enhancers that are active in MCF-7 and are well suited to targeted manipulation in this system. In contrast, risk loci cannot be mapped to specific CTCF-binding sites, and the genes linked to risk CTCF sites did not show functional enrichment. The identity of risk enhancers and their associated genes suggests that some risk may function during later processes in cancer progression. Here, we report how the ER+ cell line MCF-7 can be used to dissect risk mechanisms for breast cancer.

Screening of reference genes and quantitative real-time PCR detection and verification in Dermatophagoides farinae under temperature stress

Dermatophagoides farinae is an important source of indoor allergens that shows strong tolerance to external temperatures. However, the regularity and mechanism of tolerance are still unclear. Based on our previous RNA-seq and annotation of D. farinae under temperature stress, it is planned to identify differentially expressed genes (DEGs) involved in the temperature stress response by quantitative real-time PCR (qRT-PCR). However, the lack of reference genes directly limited the detection and confirmation of DEGs. Accordingly, in this study, we have selected six candidates as reference genes in D. farinae: 60S RP L11, 60S RP L21, α tubulin, GAPDH, Der f Mal f 6, and calreticulin, and evaluated their expression stabilities as affected by heat and cold stresses, using geNorm, NormFinder, BestKeeper, comparative ΔCt and RefFinder methods. Then the expression level of 15 DEGs were detected and verified. geNorm analysis showed that α tubulin and calreticulin were the most stable reference genes under heat stress and cold stress of D. farinae. Similar evaluation results were obtained by NormFinder and BestKeeper, in which 60S RP L21 and α tubulin were the most stable reference genes. By comparative ΔCt method and a comprehensive evaluation of RefFinder, α tubulin was identified as the most ideal reference gene of D. farinae under heat and cold stresses. Furthermore, qRT-PCR detection results of 15 DEGs were almost identical to the RNA-seq results, indicating that α tubulin is stable as a reference gene. This study provided technical support for DEGs expression studies in D. farinae using qRT-PCR.

Full-length mRNA sequencing and gene expression profiling reveal broad involvement of natural antisense transcript gene pairs in pepper development and response to stresses.

Pepper is an important vegetable with great economic value and unique biological features. In the past few years, significant development has been made toward understanding the huge complex pepper genome; however, pepper functional genomics has not been well studied. To better understand the pepper gene structure and pepper gene regulation, we conducted full-length mRNA sequencing by PacBio sequencing and obtained 57862 high-quality full-length mRNA sequences derived from 18362 previously annotated and 5769 newly detected genes. New gene models were built that combined the full-length mRNA sequences and corrected approximately 500 fragmented gene models from previous annotations. Based on the full-length mRNA, we identified 4114 and 5880 pepper genes forming natural antisense transcript (NAT) genes in-cis and in-trans, respectively. Most of these genes accumulate small RNAs in their overlapping regions. By analyzing these NAT gene expression patterns in our transcriptome data, we identified many NAT pairs responsive to a variety of biological processes in pepper. Pepper formate dehydrogenase 1 (FDH1), which is required for R-gene-mediated disease resistance, may be regulated by nat-siRNAs and participate in a positive feedback loop in salicylic acid biosynthesis during resistance responses. Several cis-NAT pairs and subgroups of trans-NAT genes were responsive to pepper pericarp and placenta development, which may play roles in capsanthin and capsaicin biosynthesis. Using a comparative genomics approach, the evolutionary mechanisms of cis-NATs were investigated, and we found that an increase in intergenic sequences accounted for the loss of most cis-NATs, while transposon insertion contributed to the formation of most new cis-NATs. OPEN RESEARCH BADGES: This article has earned an Open Data Badge for making publicly available the digitally-shareable data necessary to reproduce the reported results. The data is available at http://bigd.big.ac.cn/gsa Accession number, CRA001412.

Trajectory of exonic variant discovery in a large clinical population: implications for variant curation

Precision health initiatives and reduced sequencing costs are driving large-scale human genome analyses. Genetic variant curation is a bottleneck in clinical applications. The burden of variant curation can be high for newly discovered variants because they are less likely to have undergone previous clinical annotation; the rate of discovery of genetic variants in large clinical populations has not been empirically determined. We determined the rate of accrual of unique sequence variants in 90,000 exome sequences. Separate analyses were done for 17,267 autosomal genes and a subset of 74 actionable genes; the effect of relatedness in the cohort was also determined. Variant discovery showed a nonlinear growth pattern. The rate of unique variant accrual decreased as the database size increased; by 90,000 exomes 97% of all projected coding and splicing variants had been observed. Variants in 74 actionable genes showed a similar pattern. Family relatedness slightly reduced the rate of discovery of unique variants. The heaviest burden of interpretation for genetic variants occurs early and diminishes as the database size increases. Our data provide a framework for scaling pathogenic genetic variant discovery and curation, a critical element of patient care in the era of precision health.

Using high-resolution annotation of insect mitochondrial DNA to decipher tandem repeats in the control region

ABSTRACTIn this study, we used a small RNA sequencing (sRNA-seq) based method to annotate the mitochondrial genome of the insect Erthesina fullo Thunberg at 1 bp resolution. The high-resolution annotations cover both entire strands of the mitochondrial genome without any gaps or overlaps. Most of the new annotations were consistent with the previous annotations which had been obtained using PacBio full-length transcripts. Two important findings were that animals transcribe both entire strands of mitochondrial genomes and the tandem repeats in the control region of the E. fullo mitochondrial genome contains the repeated Transcription Initiation Sites (TISs) of the heavy strand. In addition, we found that the copy numbers of tandem repeats showed a great diversity within an individual, suggesting that mitochondrial DNA recombination occurs in an individual. In conclusion, the sRNA-seq based method uses 5′ and 3′ end small RNAs to annotate nuclear non-coding and mitochondrial genes at 1 bp resolution, and can be used to identify new steady RNAs, particularly long non-coding RNAs (lncRNAs). The high-resolution annotations of mitochondrial genomes can also be used to study the molecular phylogenetics and evolution of animals or to investigate mitochondrial gene transcription, RNA processing, RNA maturation and several other related topics. The complete mitochondrial genome sequence of E. fullo with the new annotations using the sRNA-seq based method is available at the NCBI GenBank database under the accession number MK374364. We publish our theories, methods, the high quality sRNA-seq and RNA-seq data (SRA: SRP174926) for extensive use.

Risk-modeling of dog osteosarcoma genome scans shows individuals with Mendelian-level polygenic risk are common

BackgroundDespite the tremendous therapeutic advances that have stemmed from somatic oncogenetics, survival of some cancers has not improved in 50 years. Osteosarcoma still has a 5-year survival rate of 66%. We propose the natural canine osteosarcoma model can change that: it is extremely similar to the human condition, except for being highly heritable and having a dramatically higher incidence. Here we reanalyze published genome scans of osteosarcoma in three frequently-affected dog breeds and report entirely new understandings with immediate translational indications.ResultsFirst, meta-analysis revealed association near FGF9, which has strong biological and therapeutic relevance. Secondly, risk-modeling by multiple logistic regression shows 22 of the 34 associated loci contribute to risk and eight have large effect sizes. We validated the Greyhound stepwise model in our own, independent, case-control cohort. Lastly, we updated the gene annotation from approximately 50 genes to 175, and prioritized those using cross-species genomics data. Mostly positional evidence suggests 13 genes are likely to be associated with mapped risk (including MTMR9, EWSR1 retrogene, TANGO2 and FGF9). Previous annotation included seven of those 13 and prioritized four by pathway enrichment. Ten of our 13 priority genes are in loci that contribute to risk modeling and thus can be studied epidemiologically and translationally in pet dogs. Other new candidates include MYCN, SVIL and MIR100HG.ConclusionsPolygenic osteosarcoma-risk commonly rises to Mendelian-levels in some dog breeds. This justifies caninized animal models and targeted clinical trials in pet dogs (e.g., using CDK4/6 and FGFR1/2 inhibitors).

MCN: A comprehensive corpus for medical concept normalization.

Normalization of clinical text involves linking different ways of talking about the same clinical concept to the same term in the standardized vocabulary. To date, very few annotated corpora for normalization have been available, and existing corpora so far have been limited in scope and only dealt with the normalization of diseases and disorders. In this paper, we describe the annotation methodology we developed in order to create a new manually annotated wide-coverage corpus for clinical concept normalization, the Medical Concept Normalization (MCN) corpus. In order to ensure wider coverage, we applied normalization to the text spans corresponding to the medical problems, treatments, and tests in the named entity corpus released for the fourth i2b2/VA shared task. In contrast to previous annotation efforts, we do not assign multiple concept labels to the named entities that do not map to a unique concept in the controlled vocabulary. Nor do we leave that named entity without a concept label. Instead, our normalization method that splits such named entities, resolving some of the core ambiguity issues. Lastly, we supply a sieve-based normalization baseline for MCN which combines MetaMap with multiple exact match components. The resulting corpus consists of 100 discharge summaries and provides normalization for the total of 10,919 concept mentions, using 3792 unique concepts from two controlled vocabularies. Our inter-annotator agreement is 67.69% pre-adjudication and 74.20% post-adjudication. Our sieve-based normalization baseline for MCN achieves 77% accuracy in cross-validation. We also detail the challenges of creating a normalization corpus, including the limitations deriving from both the mention span selection and the ambiguity and inconsistency within the current standardized terminologies. In order to facilitate the development of improved concept normalization methods, the MCN corpus will be publicly released to the research community in a shared task in 2019.

Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey

This article provides an extensive overview of the literature related to the phenomenon of non-nominal-antecedent anaphora (also known as abstract anaphora or discourse deixis), a type of anaphora in which an anaphor like “that” refers to an antecedent (marked in boldface) that is syntactically non-nominal, such as the first sentence in “It’s way too hot here. That’s why I’m moving to Alaska.” Annotating and automatically resolving these cases of anaphora is interesting in its own right because of the complexities involved in identifying non-nominal antecedents, which typically represent abstract objects such as events, facts, and propositions. There is also practical value in the resolution of non-nominal-antecedent anaphora, as this would help computational systems in machine translation, summarization, and question answering, as well as, conceivably, any other task dependent on some measure of text understanding. Most of the existing approaches to anaphora annotation and resolution focus on nominal-antecedent anaphora, classifying many of the cases where the antecedents are syntactically non-nominal as non-anaphoric. There has been some work done on this topic, but it remains scattered and difficult to collect and assess. With this article, we hope to bring together and synthesize work done in disparate contexts up to now in order to identify fundamental problems and draw conclusions from an overarching perspective. Having a good picture of the current state of the art in this field can help researchers direct their efforts to where they are most necessary. Because of the great variety of theoretical approaches that have been brought to bear on the problem, there is an equally diverse array of terminologies that are used to describe it, so we will provide an overview and discussion of these terminologies. We also describe the linguistic properties of non-nominal-antecedent anaphora, examine previous annotation efforts that have addressed this topic, and present the computational approaches that aim at resolving non-nominal-antecedent anaphora automatically. We close with a review of the remaining open questions in this area and some of our recommendations for future research.

Reconstructed evolution of insulin receptors in insects reveals duplications in early insects and cockroaches.

Social insects show an extreme degree of phenotypic plasticity. In highly eusocial species, this manifests in the generation of distinct castes with extreme differences in both morphology and life span. The molecular basis of these differences is highly entangled and not fully understood, but several recent studies demonstrated that insulin/insulin-like growth factor signaling (IIS) is one of the key pathways. Here, we investigate the molecular evolution of insect insulin receptors (InRs), which are membrane-bound dimers that enable IIS by relaying extracellular signals to intracellular signaling cascades. Classic models of invertebrate IIS include only one InR gene, but some recent studies on less commonly studied insects have found two InRs, which act in an antagonistic manner to facilitate polyphenism in at least one documented case. We search 22 arthropod genomes and identify several InR copies and their evolutionary origin that were lacking from previous annotations. Phylogenetic analysis shows that the two insect InR genes date back at least 400 million years to a common ancestor of winged insects. Most notably, we also identified the evolutionary origin of a third InR copy that is unique to the clade of Blattodea, just before therein the eusocial termites evolved. One of the InR paralogs consistently shows caste-biased expression in all three termites, which strongly suggests a role in caste differentiation. These results have important ramifications for past and future InR inhibition/InR knockdown experiments in insects and they provide a set of key genes regulating life span and morphology in termite castes.

An improved assembly and annotation of the melon (Cucumis melo L.) reference genome

We report an improved assembly (v3.6.1) of the melon (Cucumis melo L.) genome and a new genome annotation (v4.0). The optical mapping approach allowed correcting the order and the orientation of 21 previous scaffolds and permitted to correctly define the gap-size extension along the 12 pseudomolecules. A new comprehensive annotation was also built in order to update the previous annotation v3.5.1, released more than six years ago. Using an integrative annotation pipeline, based on exhaustive RNA-Seq collections and ad-hoc transposable element annotation, we identified 29,980 protein-coding loci. Compared to the previous version, the v4.0 annotation improved gene models in terms of completeness of gene structure, UTR regions definition, intron-exon junctions and reduction of fragmented genes. More than 8,000 new genes were identified, one third of them being well supported by RNA-Seq data. To make all the new resources easily exploitable and completely available for the scientific community, a redesigned Melonomics genomic platform was released at http://melonomics.net. The resources produced in this work considerably increase the reliability of the melon genome assembly and resolution of the gene models paving the way for further studies in melon and related species.

Prediction and characterization of human ageing-related proteins by using machine learning

Ageing has a huge impact on human health and economy, but its molecular basis – regulation and mechanism – is still poorly understood. By today, more than three hundred genes (almost all of them function as protein-coding genes) have been related to human ageing. Although individual ageing-related genes or some small subsets of these genes have been intensively studied, their analysis as a whole has been highly limited. To fill this gap, for each human protein we extracted 21000 protein features from various databases, and using these data as an input to state-of-the-art machine learning methods, we classified human proteins as ageing-related or non-ageing-related. We found a simple classification model based on only 36 protein features, such as the “number of ageing-related interaction partners”, “response to oxidative stress”, “damaged DNA binding”, “rhythmic process” and “extracellular region”. Predicted values of the model quantify the relevance of a given protein in the regulation or mechanisms of the human ageing process. Furthermore, we identified new candidate proteins having strong computational evidence of their important role in ageing. Some of them, like Cytochrome b-245 light chain (CY24A) and Endoribonuclease ZC3H12A (ZC12A) have no previous ageing-associated annotations.

Textual research of chu, huo, huo, and hua

Origin of Chinese Characters (Shuowen Jiezi) records a large number of drug names, providing rich materials for the study of the history of pharmacy. But in the aftertime circulating process, errors were inevitable, making the ancient scholars disagree on the relationship between some drug names and their referents. This paper would give a textual research on medication names about chu, huo, huo, and hua. Relevant content was analyzed by using Shuowen Jiezi, Er Ya,Yu Pian and previous annotations of these exegesis books, as well as herbal literature. The relationship between the names and referents, as well as their lexical meanings were clarified by comparing textual content in specialized book about Chinese exegetics and previous herbal literature. Their medicinal efficacy was explained, and the value of herbalism in these exegesis books was explored.

Comparative genomics of Coniophora olivacea reveals different patterns of genome expansion in Boletales

BackgroundConiophora olivacea is a basidiomycete fungus belonging to the order Boletales that produces brown-rot decay on dead wood of conifers. The Boletales order comprises a diverse group of species including saprotrophs and ectomycorrhizal fungi that show important differences in genome size.ResultsIn this study we report the 39.07-megabase (Mb) draft genome assembly and annotation of C. olivacea. A total of 14,928 genes were annotated, including 470 putatively secreted proteins enriched in functions involved in lignocellulose degradation. Using similarity clustering and protein structure prediction we identified a new family of 10 putative lytic polysaccharide monooxygenase genes. This family is conserved in basidiomycota and lacks of previous functional annotation. Further analyses showed that C. olivacea has a low repetitive genome, with 2.91% of repeats and a restrained content of transposable elements (TEs). The annotation of TEs in four related Boletales yielded important differences in repeat content, ranging from 3.94 to 41.17% of the genome size. The distribution of insertion ages of LTR-retrotransposons showed that differential expansions of these repetitive elements have shaped the genome architecture of Boletales over the last 60 million years.ConclusionsConiophora olivacea has a small, compact genome that shows macrosynteny with Coniophora puteana. The functional annotation revealed the enzymatic signature of a canonical brown-rot. The annotation and comparative genomics of transposable elements uncovered their particular contraction in the Coniophora genera, highlighting their role in the differential genome expansions found in Boletales species.

Native elongating transcript sequencing reveals global anti-correlation between sense and antisense nascent transcription in fission yeast.

Antisense transcription can regulate sense gene expression. However, previous annotations of antisense transcription units have been based on detection of mature antisense long noncoding (aslnc)RNAs by RNA-seq and/or microarrays, only giving a partial view of the antisense transcription landscape and incomplete molecular bases for antisense-mediated regulation. Here, we used native elongating transcript sequencing to map genome-wide nascent antisense transcription in fission yeast. Strikingly, antisense transcription was detected for most protein-coding genes, correlating with low sense transcription, especially when overlapping the mRNA start site. RNA profiling revealed that the resulting aslncRNAs mainly correspond to cryptic Xrn1/Exo2-sensitive transcripts (XUTs). ChIP-seq analyses showed that antisense (as)XUT's expression is associated with specific histone modification patterns. Finally, we showed that asXUTs are controlled by the histone chaperone Spt6 and respond to meiosis induction, in both cases anti-correlating with levels of the paired-sense mRNAs, supporting physiological significance to antisense-mediated gene attenuation. Our work highlights that antisense transcription is much more extended than anticipated and might constitute an additional nonpromoter determinant of gene regulation complexity.

PULDB: the expanded database of Polysaccharide Utilization Loci.

The Polysaccharide Utilization Loci (PUL) database was launched in 2015 to present PUL predictions in ∼70 Bacteroidetes species isolated from the human gastrointestinal tract, as well as PULs derived from the experimental data reported in the literature. In 2018 PULDB offers access to 820 genomes, sampled from various environments and covering a much wider taxonomical range. A Krona dynamic chart was set up to facilitate browsing through taxonomy. Literature surveys now allows the presentation of the most recent (i) PUL repertoires deduced from RNAseq large-scale experiments, (ii) PULs that have been subjected to in-depth biochemical analysis and (iii) new Carbohydrate-Active enzyme (CAZyme) families that contributed to the refinement of PUL predictions. To improve PUL visualization and genome browsing, the previous annotation of genes encoding CAZymes, regulators, integrases and SusCD has now been expanded to include functionally relevant protein families whose genes are significantly found in the vicinity of PULs: sulfatases, proteases, ROK repressors, epimerases and ATP-Binding Cassette and Major Facilitator Superfamily transporters. To cope with cases where susCD may be absent due to incomplete assemblies/split PULs, we present ‘CAZyme cluster’ predictions. Finally, a PUL alignment tool, operating on the tagged families instead of amino-acid sequences, was integrated to retrieve PULs similar to a query of interest. The updated PULDB website is accessible at www.cazy.org/PULDB_new/

Abstract LB-223: Whole genome sequencing of rhabdomyosarcoma germline cohort identifies low frequency of pathogenic mutations

Abstract Introduction: Rhabdomyosarcoma (RMS) is among the most frequently occurring tumors in Li-Fraumeni syndrome patients and is often observed in patients with a strong family history of cancer. Recent studies suggest that at least 10% of children with cancer harbor an underlying pathogenic germline mutation, although the frequency in children with RMS is not well characterized. In this study we sought to determine the rate of likely pathogenic germline mutations in rhabdomyosarcoma patients, unselected for family history. Methods: Of 275 RMS patients enrolled on one clinical trial (COG ARST0531), whole-genome sequencing was performed on blood-derived DNA of an initial set of 50 using the Illumina HiseqX to an average sequencing depth of 44.9X [34.2-58.4]. Single nucleotide variants (SNVs) and Indels were called and filtered to select only those occurring in exons or splicing regions. Variants were further filtered to include only those with a frequency of <0.5% in the ExAC database and lying in one of 99 genes identified as a cancer predisposition gene in the COSMIC Cancer Gene census. Nonsynonymous SNVs were required to be predicted as deleterious by one or more of Polyphen, mutation assessor or sift. Results: Across the 50 initial samples, a total of 290 variants ([0-17], median of 5) passed the described filters. Notably, no point mutations were identified in TP53 in the initial 50 samples. Two samples contained variants annotated as pathogenic in ClinVar - a frameshift deletion in CHEK2 and a rare SNP in MUTYH. Also notable was a potentially pathogenic frameshift deletion in MSH6 that lacked previous annotation. Conclusions: Our preliminary analysis suggests a lower incidence of causative TP53 mutations in RMS than previously suggested. Whole genome sequencing of the remaining samples in the cohort along with analysis of copy number and structural variants is ongoing. Statistical analysis of the entire cohort of 275 patient samples will allow for the most complete characterization of the germline genomic landscape of rhabdomyosarcoma to date. This information will better inform clinical surveillance and management parameters for RMS patients and families. Citation Format: Nicholas Light, Philip Lupo, Javed Khan, Joshua Schiffman, Douglas Hawkins, Adam Shlien, David Malkin. Whole genome sequencing of rhabdomyosarcoma germline cohort identifies low frequency of pathogenic mutations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr LB-223. doi:10.1158/1538-7445.AM2017-LB-223

An Efficient Approach to Explore and Discriminate Anomalous Regions in Bacterial Genomes Based on Maximum Entropy.

Recently, there has been an increase in the number of whole bacterial genomes sequenced, mainly due to the advancing of next-generation sequencing technologies. In face of this, there is a need to provide new analytical alternatives that can follow this advance. Given our current knowledge about the genomic plasticity of bacteria and that those genomic regions can uncover important features about this microorganism, our goal was to develop a fast methodology based on maximum entropy (ME) to guide the researcher to regions that could be prioritized during the analysis. This methodology was compared with other available methods. In addition, ME was applied to eight different bacterial genera. The methodology consists of two main steps: processing the nucleotide sequence and ME calculation. We applied ME to Xanthomonas axonopodis pv. citri 306 (XAC) and Xanthomonas campestris pv. campestris ATCC 33913 (XCC), both of which have their anomalous regions well documented. We then compared our results against those from Alien Hunter, HGT-DB, Islander, IslandPath, and SIGI-HMM. ME was shown to be superior in terms of efficiency and analysis duration. Besides, ME only needs the genome sequence in FASTA format as input. The proposed strategy based on ME is able to help in bacterial genome exploration. This is a simple and fast strategy for individual genomes in comparison with other available methods, without relying on previous annotation and alignments. This methodology can also be a new option in the early stages of analysis of newly sequenced bacterial genomes.

Transcriptome analysis of smut fungi reveals widespread intergenic transcription and conserved antisense transcript expression

BackgroundBiotrophic fungal plant pathogens cause billions of dollars in losses to North American crops annually. The model for functional investigation of these fungi is Ustilago maydis. Its 20.5 Mb annotated genome sequence has been an excellent resource for investigating biotrophic plant pathogenesis. Expressed-sequence tag libraries and microarray hybridizations have provided insight regarding the type of transcripts produced by U. maydis but these analyses were not comprehensive and there were insufficient data for transcriptome comparison to other smut fungi. To improve transcriptome annotation and enable comparative analyses, comprehensive strand-specific RNA-seq was performed on cell-types of three related smut species: U. maydis (common smut of corn), Ustilago hordei (covered smut of barley), and Sporisorium reilianum (head smut of corn).ResultsIn total, >1 billion paired-end sequence reads were obtained from haploid cell, dikaryon and teliospore RNA of U. maydis, haploid cell RNA of U. hordei, and haploid and dikaryon cell RNA of S. reilianum. The sequences were assembled into transfrags using Trinity, and updated gene models were created using PASA and categorized with Cufflinks Cuffcompare. Representative genes that were predicted for the first time with these RNA-seq analyses and genes with novel annotation features were independently assessed by reverse transcriptase PCR. The analyses indicate hundreds more predicted proteins, relative to the previous genome annotation, could be produced by U. maydis from altered transcript forms, and that the number of non-coding RNAs produced, including transcribed intergenic sequences and natural antisense transcripts, approximately equals the number of mRNAs. This high representation of non-coding RNAs appears to be a conserved feature of the smut fungi regardless of whether they have RNA interference machinery. Approximately 50% of the identified NATs were conserved among the smut fungi.ConclusionsOverall, these analyses revealed: 1) smut genomes encode a number of transcriptional units that is twice the number of annotated protein-coding genes, 2) a small number of intergenic transcripts may encode proteins with characteristics of fungal effectors, 3) the vast majority of intergenic and antisense transcripts do not contain ORFs, 4) a large proportion of the identified antisense transcripts were detected at orthologous loci among the smut fungi, and 5) there is an enrichment of functional categories among orthologous loci that suggests antisense RNAs could have a genome-wide, non-RNAi-mediated, influence on gene expression in smut fungi.

HR Practices, Learning Culture and Human Capital: A Study on Indian Business and Professional Service Sector

This study aims to examine the role of human resource (HR) practices and learning-oriented culture to influence organizational human capital through knowledge management (KM) processes. Several linkages were proposed among study constructs based on previous literature annotations. Further, proposed relationships were empirically tested using structural equation modelling technique with the help of SPSS 20, PROCESS macro and AMOS 20 software. Data were collected from 237 employees of Indian business and professional service providers. This study discusses the role of HR practices and learning-oriented culture to affect KM process and shows that the proposed relationship has the potential to positively influence organizational human capital. In addition, results of the study provide empirical evidence to the mediating role of KM process between the associations of HR practices, organizational human capital, learning oriented culture and organizational human capital. Later, authors discuss study findings and provide insights into implications, limitations and future scope of the study.

The crystal structure of PD1, a Haemophilus surface fibril domain.

The Haemophilus surface fibril (Hsf) is an unusually large trimeric autotransporter adhesin (TAA) expressed by the most virulent strains of H. influenzae. Hsf is known to mediate adhesion between pathogen and host, allowing the establishment of potentially deadly diseases such as epiglottitis, meningitis and pneumonia. While recent research has suggested that this TAA might adopt a novel `hairpin-like' architecture, the characterization of Hsf has been limited to in silico modelling and electron micrographs, with no high-resolution structural data available. Here, the crystal structure of Hsf putative domain 1 (PD1) is reported at 3.3 Å resolution. The structure corrects the previous domain annotation by revealing the presence of an unexpected N-terminal TrpRing domain. PD1 represents the first Hsf domain to be solved, and thus paves the way for further research on the `hairpin-like' hypothesis.