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Protein encoding genes in an ancient plant: analysis of codon usage, retained genes and splice sites in a moss, Physcomitrella patens.

BACKGROUND: The moss Physcomitrella patens is an emerging plant model system due to its high rate of homologous recombination, haploidy, simple body plan, physiological properties as well as phylogenetic position. Available EST data was clustered and assembled, and provided the basis for a genome-wide analysis of protein encoding genes. RESULTS: We have clustered and assembled Physcomitrella patens EST and CDS data in order to represent the transcriptome of this non-seed plant. Clustering of the publicly available data and subsequent prediction resulted in a total of 19,081 non-redundant ORF. Of these putative transcripts, approximately 30% have a homolog in both rice and Arabidopsis transcriptome. More than 130 transcripts are not present in seed plants but can be found in other kingdoms. These potential "retained genes" might have been lost during seed plant evolution. Functional annotation of these genes reveals unequal distribution among taxonomic groups and intriguing putative functions such as cytotoxicity and nucleic acid repair. Whereas introns in the moss are larger on average than in the seed plant Arabidopsis thaliana, position and amount of introns are approximately the same. Contrary to Arabidopsis, where CDS contain on average 44% G/C, in Physcomitrella the average G/C content is 50%. Interestingly, moss orthologs of Arabidopsis genes show a significant drift of codon fraction usage, towards the seed plant. While averaged codon bias is the same in Physcomitrella and Arabidopsis, the distribution pattern is different, with 15% of moss genes being unbiased. Species-specific, sensitive and selective splice site prediction for Physcomitrella has been developed using a dataset of 368 donor and acceptor sites, utilizing a support vector machine. The prediction accuracy is better than those achieved with tools trained on Arabidopsis data. CONCLUSION: Analysis of the moss transcriptome displays differences in gene structure, codon and splice site usage in comparison with the seed plant Arabidopsis. Putative retained genes exhibit possible functions that might explain the peculiar physiological properties of mosses. Both the transcriptome representation (including a BLAST and retrieval service) and splice site prediction have been made available on http://www.cosmoss.org, setting the basis for assembly and annotation of the Physcomitrella genome, of which draft shotgun sequences will become available in 2005.

Alternative Splicing↗

Phytophthora genome sequences uncover evolutionary origins and mechanisms of pathogenesis.

Draft genome sequences have been determined for the soybean pathogen Phytophthora sojae and the sudden oak death pathogen Phytophthora ramorum. Oömycetes such as these Phytophthora species share the kingdom Stramenopila with photosynthetic algae such as diatoms, and the presence of many Phytophthora genes of probable phototroph origin supports a photosynthetic ancestry for the stramenopiles. Comparison of the two species' genomes reveals a rapid expansion and diversification of many protein families associated with plant infection such as hydrolases, ABC transporters, protein toxins, proteinase inhibitors, and, in particular, a superfamily of 700 proteins with similarity to known oömycete avirulence genes.

Algal Proteins↗

Prediction of the general transcription factors associated with RNA polymerase II in Plasmodium falciparum: conserved features and differences relative to other eukaryotes.

BACKGROUND: To date, only a few transcription factors have been identified in the genome of the parasite Plasmodium falciparum, the causative agent of malaria. Moreover, no detailed molecular analysis of its basal transcription machinery, which is otherwise well-conserved in the crown group of eukaryotes, has yet been reported. In this study, we have used a combination of sensitive sequence analysis methods to predict the existence of several parasite encoded general transcription factors associated with RNA polymerase II. RESULTS: Several orthologs of general transcription factors associated with RNA polymerase II can be predicted among the hypothetical proteins of the P. falciparum genome using the two-dimensional Hydrophobic Cluster Analysis (HCA) together with profile-based search methods (PSI-BLAST). These predicted orthologous genes encoding putative transcription factors include the large subunit of TFIIA and two candidates for its small subunit, the TFIIE beta-subunit, which would associate with the previously known TFIIE alpha-subunit, the TFIIF beta-subunit, as well as the p62/TFB1 subunit of the TFIIH core. Within TFIID, the putative orthologs of TAF1, TAF2, TAF7 and TAF10 were also predicted. However, no candidates for TAFs with classical histone fold domain (HFD) were found, suggesting an unusual architecture of TFIID complex of RNA polymerase II in the parasite. CONCLUSION: Taken together, these results suggest that more general transcription factors may be present in the P. falciparum proteome than initially thought. The prediction of these orthologous general transcription factors opens the way for further studies dealing with transcriptional regulation in P. falciparum. These alternative and sensitive sequence analysis methods can help to identify candidates for other transcriptional regulatory factors in P. falciparum. They will also facilitate the prediction of biological functions for several orphan proteins from other apicomplexan parasites such as Toxoplasma gondii, Cryptosporidium parvum and Eimeria.

Amino Acid Sequence↗

Degradation and inactivation of human atrial natriuretic peptide by human pulmonary plasma membranes.

Atrial natriuretic peptide (ANP) is extracted from plasma during its passage through the lungs. ANP is metabolized in rat lung membrane preparations by the enzyme neutral endopeptidase-24.11 (EC 3.4.24.11), but the hydrolysis of ANP in human lung has not been characterized. In the present study synthetic human atrial natriuretic peptide 1-28 (alpha-hANP) was separately incubated with human pulmonary plasma membranes from two non-smoking patients, and the major degradation products were separated from alpha-hANP by reverse-phase high pressure liquid chromatography. The degradation products were identified by sequence analysis and by mass-spectrometry, and biological activity was studied in vitro by exposing precontracted rabbit pulmonary arteries to alpha-hANP and the degradation products. The initial cleavage appeared, with membrane preparations from both patients, in the central ring structure between Arg14 and Ile15, followed by a cleavage of the bond Arg3-Arg4 at the N-terminal region of the peptide. The biological activity of this ring-opened product was about 1/500 of the activity of uncleaved alpha-hANP. Cleavage of the Arg3-Arg4 or Arg14-Ile15 bonds could not be inhibited by EDTA, iodoacetamide, benzamidine hydrochloride or pepstatin A. Neither did phosphoramidon (1 microM) or thiorphan (1 microM) inhibit the hydrolysis, indicating the presence in human lung of an ANP-degrading enzyme different from endopeptidase-24.11.

Aged↗

Volumetric DNA microscopy for mapping spatial transcriptomes in three dimensions.

The architecture and function of biological systems are inherently three-dimensional, yet most existing spatial transcriptomic technologies remain restricted to thin tissue sections, limiting their capacity to resolve cellular organization and microenvironments within intact tissue volumes. To address this limitation, we developed volumetric DNA microscopy, a scalable, optics-free approach for spatial transcriptome profiling directly within intact biological specimens. The method encodes spatial information into DNA molecules that form a dense intermolecular network in situ, enabling the reconstruction of three-dimensional spatial relationships through short-read sequencing and computational analysis. Here we detail the complete workflow including in situ cDNA synthesis, spatial encoding through DNA nanoball formation, dual-scale proximity bridging between neighboring nanoballs and spatial reconstruction via geodesic spectral embedding. Sequencing libraries can be generated within 7-8 d by a competent graduate-level molecular biologist, followed by standardized downstream computational analysis. Because the workflow requires only routine molecular biology reagents and a benchtop sequencer, volumetric DNA microscopy provides a versatile platform for exploring genetic and morphological features in intact tissues.

Spatial Transcriptomics↗

Molecular approaches to the identification of unculturable infectious agents.

New molecular biologic techniques, particularly representational difference analysis, consensus sequence-based polymerase chain reaction, and complementary DNA library screening, have led to the identification of several previously unculturable infectious agents. New agents have been found in tissues from patients with Kaposi's sarcoma, non-A, non-B hepatitis, hantavirus pulmonary syndrome, bacillary angiomatosis, and Whipple's disease by using these techniques without direct culture. The new methods rely on identifying subgenomic fragments from the suspected agent. After a unique nucleic acid fragment belonging to an agent is isolated from diseased tissues, the fragment can be sequenced and used as a probe to identify additional infected tissues or obtain extended portions of the agent's genome. For agents that cannot be cultured by standard techniques, these approaches have proved invaluable for identification and characterization studies. Applying these techniques to other human diseases of suspected infectious etiology may rapidly elucidate novel candidate pathogens.

Bacteriological Techniques↗

Gene expression analysis of strawberry achene and receptacle maturation using DNA microarrays.

Large-scale, single pass sequencing and parallel gene expression analysis using DNA microarrays were employed for the comprehensive investigation of ripening in strawberry fruit. A total of 1701 cDNA clones (comprising 1100 strawberry ESTs and 601 unsequenced cDNAs) obtained from a strawberry (Fragariaxananassa) ripe fruit cDNA library were displayed on microarrays, and used for monitoring concurrent gene expression in receptacle and achene tissues. Analysis of expression ratios identified 66 out of the 259 (25%) achene-related clones and 80 out of 182 (44%) receptacle-related clones with more than a 4-fold difference in expression between the two tissue types. Half of the achene-associated genes putatively encode proteins with unknown function, and a large number of the remainder were proteins predicted to form part of the signal and regulation cascades related to achene maturation and acquisition of stress and desiccation tolerance. These included phosphatases, protein kinases, 14-3-3 proteins, transcription factors, and others. In the receptacle, key processes and novel genes that could be associated with ripening were identified. Genes putatively encoding proteins related to stress, the cell wall, DNA/RNA/protein, and primary metabolism were highly represented. Apart from providing a global observation on gene expression programmes and metabolic pathways in the developing strawberry, this study has made available a large database and unique information for gene discovery, promoter selection and markers for molecular breeding approaches.

Abscisic Acid↗

DeepGeSeq: deep learning library for genomic sequence modeling and analysis.

MOTIVATION: Deep learning methods have demonstrated significant potential in genomics, enabling broad applications such as sequence activity prediction, regulatory rule identification, and variant effect quantification. However, their widespread adoption is often hindered by the steep computational learning curve required for model construction, training, and downstream biological interpretation. Here, we introduce DeepGeSeq, a user-friendly Deep-learning library tailored for Genomic Sequence modeling and analysis. RESULTS: By integrating state-of-the-art architectural modules, DeepGeSeq streamlines the entire deep learning workflow, requiring minimal user input via a simple configuration file and an intuitive agentic skill. We comprehensively validate the efficacy of DeepGeSeq through diverse case studies, encompassing pipeline verification using synthetic datasets, the reproduction and application of established models, and model fine-tuning coupled with biological interpretation on user-defined data. Furthermore, we demonstrate DeepGeSeq's versatility in domain-specific applications, including single-cell ATAC-seq modeling for cell-type clustering, and MPRA data modeling coupled with in silico saturation mutagenesis to dissect cis-regulatory elements. Ultimately, DeepGeSeq bridges the gap between computational complexity and biological discovery, providing an accessible resource that facilitates the development and broad application of deep learning methods in genomics research. AVAILABILITY AND IMPLEMENTATION: https://github.com/JiaqiLi1024/DeepGeSeq.

Deep Learning↗

ColiGene: object-centered representation for the study of E coli gene expressivity by sequence analysis.

ColiGene is an object-centered knowledge base for the study of gene expressivity in Escherichia coli by DNA sequence analysis. This system was developed with the knowledge base management system SHIRKA. Objects represented in ColiGene are biological structures such as genes or regulatory signals. They are organized in a hierarchical structure of classes, subclasses and instances. Navigation through the knowledge base and the building of queries are made using a graphical interface. The base is coupled with the data base ACNUC which structures a specialized collection of sequences: EcoSeq. Several tools are also associated to ColiGene, either for sequence analysis or for a more general purpose. Some biological results have been obtained using ColiGene which are summarized here.

Artificial Intelligence↗

Characterization of murine IL-1 beta. Isolation, expression, and purification.

One cDNA clone encoding a truncated murine IL-1 beta (M IL-1 beta) sequence was isolated from a murine macrophage cDNA library. We reconstituted the coding sequence of the 152-residue mature protein and expressed it in Escherichia coli. rM IL-1 beta was purified to homogeneity and characterized by oligonucleotide and NH2-terminal sequence analysis. Purified rM IL-1 beta exhibited biologic activity equivalent to 7.8 x 10(7) units/mg in the murine thymocyte proliferation assay and 9.9 x 10(3) units/mg in the human gingival fibroblast PGE2 production assay, indicative of species specificity. The isoelectric point of rM IL-1 was found to be 8.85. The circular dichroism spectrum revealed that the secondary structure of M IL-1 is indistinguishable from that of the human protein. Receptor binding studies indicated the rM IL-1 bound to murine EL-4.1 thymoma cells in a specific and dose-dependent fashion with an affinity of 32 pM. Competition binding data suggested that murine and human IL-1 compete for a single class of receptor. Antisera were generated in rabbits against both murine and human IL-1. Results of ELISA binding and antisera neutralization assays indicated that there are common antigenic sites between the two IL-1 beta molecules. These domains are of functional importance because they are capable of mediating the neutralization of biologic activity.

Amino Acid Sequence↗

Cloning, mapping and characterization of a genomic copy of the Lipomyces kononenkoae alpha-amylase-encoding gene (LKA1).

The expression in Saccharomyces cerevisiae and Schizosaccharomyces pombe of a cDNA copy of the Lipomyces kononenkoae IGC4052B alpha-amylase gene (LKA1), linked to the phosphoglycerate kinase gene (PGK1) promoter, resulted in the extracellular production of biologically active alpha-amylase (LKA1). However, transformation of S. cerevisiae and Schiz. pombe with a cosmid clone containing the complete genomic copy of LKA1, expressed from its native promoter, did not result in secretion of active alpha-amylase by any of the transformants. When the cDNA copy of LKA1 was expressed in S. cerevisiae under control of the wild-type L, kononenkoae promoter, biologically active alpha-amylase was secreted into the culture medium, indicating the recognition of the LKA1 promoter in S. cerevisiae. Sequence analysis of the GC-rich LKA1 promoter revealed canonical sequences that are homologous to the TATAAA, CAAT and CCAAT boxes and GCN4-binding sites that are present in several promoter sequences of S. cerevisiae. Primer extension analysis of LKA1 transcripts in L. kononenkoae indicated major initiation sites at nucleotides -64 and -65. S. cerevisiae and Schiz. pombe cells transformed with a plasmid containing the open reading frame of the genomic copy of LKA1, linked to the PGK1 promoter, did not produce alpha-amylase. Polymerase chain reaction mapping and sequence analysis revealed the presence of a 61-bp intron in the genomic copy of LKA1 that impaired synthesis of biologically active alpha-amylase in S. cerevisiae and Schiz. pombe. This intron contains donor, acceptor and branch sequences that correlate with the consensus sequences identified in the introns of split genes from Schiz. pombe and mammals. Pulsed-field gradient gel electrophoresis resolved at least eight chromosomal DNAs for L. kononenkoae IGC4052B and chromoblot analysis indicated that LKA1 is located on the second smallest chromosome, designated chromosome II.

Ascomycota↗

Molecular genetic characterization of epitope-specific monoclonal antibodies against the myc family proteins.

The myc family proteins were used to produce monoclonal antibodies with defined specificities. The pattern of mosaic homology among the myc family proteins facilitated the efficient identification of monoclonal antibodies specific to myc homology box sequences. Sequential epitopes for pan-myc reactive monoclonal antibodies produced against N-myc/c-myc fusion protein were further defined by use of truncated myc proteins made in E. coli and synthetic oligopeptides corresponding to myc box sequences. One class of antibodies was found to be specific to the first myc box sequence, whereas the other was found to be reactive with the third myc box sequence. Further development of anti-myc monoclonal antibodies, especially those antibodies specific to each myc box sequence, would be likely to facilitate analysis of the possible biological functions of the myc proteins in vivo and in vitro.

Amino Acid Sequence↗

Characterization of the nicotinic acetylcholine receptor subunit gene Mdalpha2 from the house fly, Musca domestica.

A nicotinic acetylcholine receptor (nAChR) subunit gene, Mdalpha2, was isolated and characterized from the house fly, Musca domestica. This is the first nAChR family member cloned from house flies. Mdalpha2 had a cDNA of 2,607 bp, which included a 696 bp 5'-untranslated region (UTR), an open reading frame of 1,692 bp, and a 219 bp 3'-UTR. Its deduced amino acid sequence possesses the typical characteristics of nAChRs. Mdalpha2 genomic sequence was 11.2 kb in length in the aabys strain and 10.9 kb in the OCR strain, including eight exons and seven introns. Based on the deduced amino acid sequence, Mdalpha2 had the closest phylogenetic relationship to the Drosophila melanogaster Dalpha2 and Anopheles gambiae Agamalpha2, and a similar genomic structure to Dalpha2. Quantitative real-time PCR analysis showed that Mdalpha2 is expressed in the head and the thorax at 150- and 8.5-fold higher levels than in the abdomen. Linkage analysis of a Mdalpha2 polymorphism indicates this gene is on autosome 2. The importance of these results in understanding the diversity and phylogenetic relationships of insect nAChRs, the physiology of nAChRs in the house fly, and the utility of nAChR sequences in resistance detection/monitoring is discussed.

Amino Acid Sequence↗

DNA and the revolutions of molecular evolution, computational biology, and bioinformatics.

The discovery of the structure of DNA was a necessary prerequisite for determining the sequence of DNA molecules. Technological advances have now made it possible to sequence DNA rapidly and has resulted in public databases with over 30 billion nucleotides of known sequence. The analysis of these data has lead to new fields of science and to amazing advances in our understanding of evolution.

Animals↗

Recent developments and future directions in computational genomics.

Computational genomics is a subfield of computational biology that deals with the analysis of entire genome sequences. Transcending the boundaries of classical sequence analysis, computational genomics exploits the inherent properties of entire genomes by modelling them as systems. We review recent developments in the field, discuss in some detail a number of novel approaches that take into account the genomic context and argue that progress will be made by novel knowledge representation and simulation technologies.

Animals↗

Phylogeography of subterranean and surface populations of water lice Asellus aquaticus (Crustacea: Isopoda).

The water louse Asellus aquaticus is a widespread, euryoecious species, mostly uniform throughout its range. However, six subspecies are known from the Dinaric karst in the northwestern Balkans. They include some specialized subterranean populations. The pattern of genetic variation among subterranean and surface populations in this hydrographically highly fragmented karst region was investigated using a 653 bp fragment of the mitochondrial gene (COI). Sequencing of 168 individuals from 25 localities revealed 72 haplotypes. amova and methods of phylogenetic reconstruction all uncovered hydrographic structuring of genetic variation of the populations. Nested clade analysis pointed out several fragmentation events, along with some range expansions within hydrographical systems. By superimposing the subterranean mode of life on the phylogeographical pattern, three independent cave colonizations could be inferred within a distance of < 100 km. Caves were invaded after the ancestral surface populations became isolated through vicariant fragmentation. A possible scenario of hydrographic history of the region was constructed combining the molecular data with palaeogeographical information.

Animals↗

PhosphoregDB: the tissue and sub-cellular distribution of mammalian protein kinases and phosphatases.

BACKGROUND: Protein kinases and protein phosphatases are the fundamental components of phosphorylation dependent protein regulatory systems. We have created a database for the protein kinase-like and phosphatase-like loci of mouse http://phosphoreg.imb.uq.edu.au that integrates protein sequence, interaction, classification and pathway information with the results of a systematic screen of their sub-cellular localization and tissue specific expression data mined from the GNF tissue atlas of mouse. RESULTS: The database lets users query where a specific kinase or phosphatase is expressed at both the tissue and sub-cellular levels. Similarly the interface allows the user to query by tissue, pathway or sub-cellular localization, to reveal which components are co-expressed or co-localized. A review of their expression reveals 30% of these components are detected in all tissues tested while 70% show some level of tissue restriction. Hierarchical clustering of the expression data reveals that expression of these genes can be used to separate the samples into tissues of related lineage, including 3 larger clusters of nervous tissue, developing embryo and cells of the immune system. By overlaying the expression, sub-cellular localization and classification data we examine correlations between class, specificity and tissue restriction and show that tyrosine kinases are more generally expressed in fewer tissues than serine/threonine kinases. CONCLUSION: Together these data demonstrate that cell type specific systems exist to regulate protein phosphorylation and that for accurate modelling and for determination of enzyme substrate relationships the co-location of components needs to be considered.

Amino Acid Sequence↗

Characterization and mapping of NBS-LRR resistance gene analogs in apricot (Prunus armeniaca L.).

Genomic DNA sequences sharing homology with the NBS-LRR (nucleotide binding site-leucine-rich repeat) resistance genes were isolated and cloned from apricot (Prunus armeniaca L.) using a PCR approach with degenerate primers designed from conserved regions of the NBS domain. Restriction digestion and sequence analyses of the amplified fragments led to the identification of 43 unique amino acid sequences grouped into six families of resistance gene analogs (RGAs). All of the RGAs identified belong to the Toll-Interleukin receptor (TIR) group of the plant disease resistance genes (R-genes). RGA-specific primers based on non-conserved regions of the NBS domain were developed from the consensus sequences of each RGA family. These primers were used to develop amplified fragment length polymorphism (AFLP)-RGA markers by means of an AFLP-modified procedure where one standard primer is substituted by an RGA-specific primer. Using this method, 27 polymorphic markers, six of which shared homology with the TIR class of the NBS-LRR R-genes, were obtained from 17 different primer combinations. Of these 27 markers, 16 mapped in an apricot genetic map previously constructed from the self-pollination of the cultivar Lito. The development of AFLP-RGA markers may prove to be useful for marker-assisted selection and map-based cloning of R-genes in apricot.

Amino Acid Sequence↗