KEGG: spo:SPBC887.22
STRING: 4896.SPBC887.22.1
Microsomal signal peptidase subunit 1, encoded by the new19 gene (ORF name SPBC887.22), is a component of the signal peptidase complex in S. pombe. This small protein consists of 78 amino acids with the sequence "MNYLEGTIDFAGQLRCQKYMNYGLCTSAVISYIYGYLVQDSYCVIKLFLILASLVALVCLPAWSMYNKNPLKFQKKKE" . It functions in the cleavage of signal peptides from secretory and membrane proteins as they are translocated into the endoplasmic reticulum. New19 was identified through genome reanalysis efforts that detected previously unannotated genes in the S. pombe genome, particularly those encoding smaller proteins . It has the UniProt accession number G2TRR4 and is also known as Spc1 (Signal peptidase complex subunit 1) .
The new19 gene was discovered through a systematic reappraisal of the S. pombe genome that specifically looked beyond the arbitrary 100-amino acid cutoff threshold initially used for genome annotation . The discovery methodology involved:
Translating the entire S. pombe genome in all six reading frames
Partitioning at stop codons to create a database of candidate sequences (783,342 candidates)
Comparing these sequences to proteomic data from vegetatively growing and sexually differentiating cells
Using comparative genomics approaches to identify conserved sequences across fungal genomes
Confirming transcription through RNA-Seq data
This approach identified 39 novel loci, including new19, that had been overlooked in the initial genome annotation due to size constraints . New19 was specifically identified through comparative genomics methods and was confirmed to be transcribed through RNA-Seq evidence, though PCR evidence was not reported .
Signal peptidase complexes play an essential role in the secretory pathway of eukaryotic cells, including fission yeast. Their primary functions include:
Cleaving N-terminal signal peptides from nascent proteins during their co-translational translocation into the endoplasmic reticulum
Contributing to proper protein folding and trafficking by removing signal sequences that would otherwise interfere with protein maturation
Ensuring correct localization of proteins to their target compartments (secretory pathway, cell membrane, or extracellular space)
Maintaining ER homeostasis by preventing accumulation of unprocessed proteins
In S. pombe, the signal peptidase complex is composed of multiple subunits, with new19 serving as one component. The complex recognizes specific features in signal peptides, including a positively charged N-terminal region, a hydrophobic core, and a C-terminal region containing the cleavage site . Dysfunction in this system can lead to protein mislocalization, ER stress, and potential growth defects.
Multiple lines of evidence support the annotation of new19 as a functional gene rather than a pseudogene or false positive prediction:
Transcriptional evidence: RNA-Seq data confirmed that the new19 locus is actively transcribed in S. pombe cells
Comparative genomics: The new19 sequence shows conservation across fungal species, suggesting functional importance maintained through evolutionary pressure
Structural features: The gene contains appropriate start and stop codons and follows canonical gene structure patterns
Protein domain analysis: The sequence contains features consistent with signal peptidase complex components
Systematic validation: new19 was part of a rigorously validated set of novel gene predictions that underwent multiple confirmation steps
This multi-faceted validation approach provides strong confidence that new19 encodes a functional protein despite its small size, which had previously caused it to be overlooked in genome annotation.
While the specific expression pattern of new19 is not detailed in the provided materials, the study mentioned that expression levels of 14 of the 39 newly identified transcripts fluctuated during meiosis . This suggests that new19 might exhibit regulated expression during sexual differentiation, though whether it is among these 14 genes is not explicitly stated. Further expression studies would be needed to characterize its regulation under various conditions, including vegetative growth, meiosis, and stress responses.
To effectively investigate new19 function in S. pombe, researchers should consider these methodological approaches:
Gene deletion and complementation:
Generate knockout strains using homologous recombination with selectable markers
Create conditional mutants if deletion is lethal (e.g., using thiamine-repressible promoters)
Perform cross-species complementation with homologs to assess functional conservation
Protein localization and dynamics:
Tag new19 with fluorescent proteins or epitope tags for microscopy and biochemical studies
Use photo-convertible tags to study protein trafficking and turnover
Implement super-resolution microscopy to precisely localize within ER subdomains
Interaction studies:
Perform co-immunoprecipitation with other signal peptidase components
Use proximity labeling approaches (BioID, TurboID) to identify the interactome
Implement crosslinking mass spectrometry to map interaction interfaces
Functional assays:
Develop reporter systems to monitor signal peptide cleavage efficiency
Analyze the secretome in wild-type versus mutant strains
Measure ER stress markers to assess consequences of new19 dysfunction
High-throughput genetic approaches:
Conduct synthetic genetic interaction screens to identify functional relationships
Perform multicopy suppressor screens to identify related pathway components
Implement CRISPR interference/activation to modulate new19 expression levels
These approaches should be integrated to build a comprehensive understanding of new19's role in the signal peptidase complex and its importance for S. pombe cellular function.
Producing recombinant new19 protein presents several challenges due to its small size (78 amino acids) and likely membrane association. Based on information from commercial recombinant protein production and general methodological considerations, the following protocol is recommended:
Expression system selection:
E. coli: BL21(DE3) or Rosetta strains for cytoplasmic expression
Yeast: Pichia pastoris for proper folding of eukaryotic proteins
Cell-free systems: Consider for membrane proteins to avoid toxicity issues
Vector design:
Include a fusion tag to improve solubility and purification (His6, GST, MBP, or SUMO)
Add a cleavable linker between the tag and new19
Consider a C-terminal tag to avoid interfering with N-terminal processing
Expression optimization:
Test multiple induction conditions (temperature, inducer concentration, time)
For membrane proteins, use lower temperatures (16-20°C) to improve folding
Include membrane-mimetic environments (detergents, lipids) during extraction
Purification strategy:
Employ affinity chromatography based on the chosen tag
Follow with size exclusion chromatography to remove aggregates
For proper folding, consider on-column refolding if the protein forms inclusion bodies
Storage considerations:
Validation methods:
Confirm identity by mass spectrometry
Verify structural integrity using circular dichroism
Assess functional activity in reconstituted membrane systems
This methodological framework can be adapted based on specific research goals and available resources.
Investigating the interactions between new19 and other signal peptidase complex components requires specialized techniques suitable for membrane protein complexes:
In vivo interaction mapping:
Split fluorescent protein complementation to visualize interactions in living cells
Förster resonance energy transfer (FRET) to detect proximity between tagged components
Immunoprecipitation using stringently validated antibodies or epitope tags
Chemical crosslinking followed by mass spectrometry (XL-MS) to identify interaction interfaces
Reconstitution approaches:
Co-expression of multiple subunits in heterologous systems
Step-wise reconstitution to determine assembly hierarchy
Nanodiscs or liposome reconstitution to provide native-like membrane environment
Single-molecule techniques to analyze complex dynamics
Structural studies:
Cryo-electron microscopy of the intact complex
NMR studies of individual components and their interactions
X-ray crystallography of subcomplexes or the entire assembly
Hydrogen-deuterium exchange mass spectrometry to map binding interfaces
Genetic approaches:
Suppressor screens to identify residues that can compensate for mutations
Synthetic genetic interaction mapping to identify functional relationships
Alanine-scanning mutagenesis to identify critical interaction residues
Computational methods:
Molecular dynamics simulations of component interactions
Protein-protein docking to predict interaction interfaces
Coevolution analysis to identify co-varying residues between subunits
These complementary approaches can provide a comprehensive picture of how new19 integrates into the signal peptidase complex and contributes to its function.
To characterize the substrate specificity of signal peptidase complexes containing new19, researchers should implement a multi-faceted experimental strategy:
Comparative proteomics approaches:
Quantitative secretome analysis comparing wild-type and new19 mutant strains
N-terminal proteomics to directly identify cleaved signal peptides
SILAC labeling to quantify differences in processing efficiency
Pulse-chase experiments to track kinetics of signal peptide removal
In vitro enzymatic assays:
Reconstitute signal peptidase complexes with and without new19
Use synthetic fluorogenic peptide substrates with varying signal sequences
Determine kinetic parameters (Km, kcat) for different substrates
Implement high-throughput screening of peptide libraries to identify sequence preferences
Reporter systems:
Design fusion proteins with varied signal peptides linked to easily detected reporters
Monitor processing efficiency in vivo in different genetic backgrounds
Develop split reporter systems activated upon successful signal peptide cleavage
Use flow cytometry for quantitative single-cell analysis of processing efficiency
Structural biology approaches:
Obtain structures of the complex bound to substrate peptides
Map the substrate binding pocket and identify new19's contribution
Use molecular dynamics simulations to understand substrate recognition
Implement crosslinking to capture transient enzyme-substrate interactions
Bioinformatic analysis:
Compare processing of different classes of signal peptides
Identify sequence motifs that correlate with new19-dependent processing
Develop predictive models for substrate preference
These methodologies will help determine whether new19 plays a direct role in catalysis, contributes to substrate recognition, or serves a structural/regulatory function within the complex.
While the search results do not specify phenotypes associated with new19 deletion or mutation , several predictions can be made based on its function as a signal peptidase component:
Growth and viability phenotypes:
Potential lethality if new19 is essential for signal peptidase function
Growth retardation if partial function is maintained
Temperature sensitivity if complex stability is compromised
Synthetic lethality with mutations in other secretory pathway components
Cellular stress responses:
Activation of the unfolded protein response (UPR)
Induction of ER-associated degradation (ERAD) pathways
Upregulation of chaperones and protein quality control machinery
Possible autophagy induction to clear protein aggregates
Protein trafficking defects:
Accumulation of unprocessed precursors in the ER
Mislocalization of secretory and membrane proteins
Altered glycosylation patterns due to delayed ER exit
Changes in cell wall composition and integrity
Stress sensitivity phenotypes:
Increased sensitivity to ER stressors (tunicamycin, DTT)
Hypersensitivity to cell wall-targeting compounds
Defects in response to nutrient limitation
Potential mating and sporulation deficiencies
Morphological changes:
Altered cell shape or size due to cell wall/membrane defects
ER morphology changes (expansion, fragmentation)
Vacuolar abnormalities as secondary consequences of secretory defects
Possible cell separation defects if septum formation is compromised
Systematic phenotypic characterization under various conditions would be necessary to fully understand the consequences of new19 dysfunction.
Understanding the evolutionary conservation of new19 provides insights into its functional importance. Based on the identification of new19 through comparative genomics approaches , we can infer some degree of conservation, though specific details are not provided in the search results. To properly investigate this conservation:
Sequence conservation analysis:
BLAST searches using S. pombe new19 sequence against fungal genome databases
Multiple sequence alignments to identify conserved residues and motifs
Calculation of sequence identity/similarity percentages across species
Conservation mapping onto predicted structural models
Phylogenetic distribution:
Presence/absence patterns across major fungal lineages
Correlation with complexity of secretory systems
Identification of lineage-specific adaptations or losses
Comparison with distribution of other signal peptidase components
Functional conservation assessment:
Cross-species complementation experiments
Comparison of biochemical properties of orthologs
Analysis of co-evolution with interacting partners
Identification of species-specific features that might reflect adaptive changes
Structural conservation:
Prediction of secondary structure conservation despite sequence divergence
Identification of conserved motifs that might indicate functional sites
Analysis of selective pressure on different regions of the protein
This evolutionary perspective would help determine if new19 represents a core component of the signal peptidase complex or a fungal-specific adaptation, and could identify critical residues for function that have been maintained through evolutionary time.
When working with recombinant new19 protein, researchers should consider these practical aspects to ensure successful experiments:
Protein stability and storage:
Membrane protein handling:
Maintain in appropriate detergents or membrane mimetics
Avoid conditions that promote aggregation (high temperatures, low salt)
Use centrifugation steps to remove aggregates before experiments
Consider reconstitution into nanodiscs or liposomes for functional studies
Concentration determination:
Due to small size (78 aa), standard Bradford or BCA assays may provide inaccurate results
Consider amino acid analysis or absorbance at 280nm with calculated extinction coefficient
Include multiple quantification methods for verification
Use internal standards when comparing different preparations
Experimental controls:
Include heat-denatured protein as negative control
Use known signal peptidase substrates as positive controls
Compare activity with and without other complex components
Include background controls for non-specific binding in interaction studies
Assay optimization:
Determine optimal pH, temperature, and ionic strength for activity
Identify cofactor requirements (if any)
Establish linear range for quantitative assays
Develop high-throughput assays for inhibitor screening or mutant analysis
Following these guidelines will help ensure reproducible results when working with this challenging membrane protein.
The discovery of new19 through systematic genome reanalysis has significant implications for genome annotation practices:
Size threshold reconsideration:
Challenges the arbitrary 100-amino acid cutoff commonly used in genome annotation
Demonstrates that small proteins can have important cellular functions
Suggests that thousands of functional small ORFs may be missed in current annotations
Encourages more sophisticated approaches to gene prediction beyond size thresholds
Methodological advances:
Illustrates the value of integrating multiple evidence types (comparative genomics, transcriptomics, proteomics)
Highlights the importance of looking beyond computational prediction alone
Demonstrates the utility of targeted reanalysis of "complete" genomes
Provides a framework for discovering novel genes in other organisms
Biological significance:
Expands our understanding of the minimal functional size for proteins
Suggests small proteins may be particularly important in certain cellular processes
Indicates that component parts of larger complexes (like signal peptidase) may be systematically under-annotated
Adds to growing evidence that genome complexity is underestimated
Practical implications:
Necessitates reanalysis of existing genomes with improved methods
Suggests experimental validation should be prioritized for small ORF predictions
Indicates that transcriptome analysis should not discard small ORFs
Demonstrates that proteomics approaches need to be optimized for small protein detection
The identification of new19 and other novel small proteins in S. pombe serves as an important case study in how systematic reanalysis can improve genome annotation and discover functionally important genes previously overlooked due to arbitrary size constraints.
Determining the structure of new19 presents challenges due to its small size (78 amino acids) and membrane association. A multi-technique approach is recommended:
Computational structure prediction:
AlphaFold2 or RoseTTAFold for initial model generation
Molecular dynamics simulations to model membrane interactions
Ab initio modeling approaches optimized for small proteins
Threading against known signal peptidase components from other organisms
Solution-state structural techniques:
NMR spectroscopy (suitable for small proteins)
Circular dichroism to determine secondary structure content
SAXS/SANS for low-resolution envelope determination
HDX-MS to probe solvent accessibility and dynamics
Solid-state approaches for membrane context:
Solid-state NMR in lipid bilayers
EPR spectroscopy with site-directed spin labeling
X-ray crystallography of detergent-solubilized protein
Cryo-EM of the entire signal peptidase complex
Hybrid structural approaches:
Integrate low-resolution data with computational models
Use crosslinking-MS to define distance constraints
Implement hydrogen-deuterium exchange to identify structured regions
Validate models through targeted mutagenesis of predicted structural elements
Functional structural studies:
Alanine scanning to identify functionally important residues
Disulfide crosslinking to test structural predictions
Accessibility mapping using chemical modification
Protein engineering to test proposed structural models
These complementary approaches can overcome the challenges inherent in studying small membrane proteins and provide insights into how new19 contributes to signal peptidase complex structure and function.
To explore potential moonlighting functions of new19 beyond its role in the signal peptidase complex, researchers should implement these systematic approaches:
Unbiased interaction screening:
Genome-wide yeast two-hybrid screening
BioID or TurboID proximity labeling in different cellular compartments
Co-immunoprecipitation followed by mass spectrometry under various conditions
Protein array screening to identify unexpected binding partners
Phenotypic profiling:
Chemical-genetic profiling of new19 mutants with diverse compounds
Transcriptomic analysis under different stress conditions
Systematic growth assays in various media compositions
Microscopy-based phenotypic screens for subcellular abnormalities
Localization studies:
Super-resolution microscopy to detect potential non-ER localization
Fractionation studies to identify presence in unexpected compartments
Time-lapse imaging to detect condition-dependent relocalization
Immunogold electron microscopy for precise ultrastructural localization
Comparative genomics approaches:
Analysis of gene neighborhood conservation across species
Identification of co-evolved gene pairs suggesting functional relationships
Domain fusion events in other organisms that might suggest additional functions
Detection of lineage-specific adaptations in protein sequence
Biochemical activity screening:
Testing for enzymatic activities beyond signal peptidase function
Nucleic acid binding assays
Lipid interaction studies
Metabolite binding assays
These approaches can reveal unexpected functions that might explain evolutionary conservation patterns or unexpected phenotypes observed in new19 mutants, potentially expanding our understanding of how small proteins contribute to cellular function beyond their primary annotated roles.