Recombinant Equisetum scirpoides 30S ribosomal protein S4, chloroplastic (rps4)

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Product Specs

Form
Lyophilized powder
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Lead Time
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to consolidate contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, which may serve as a guideline for your use.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during the production process. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
rps4; 30S ribosomal protein S4; chloroplastic
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-207
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Equisetum scirpoides (Dwarf-scouring rush)
Target Names
rps4
Target Protein Sequence
MSRYRGPRLR IIRRLRNLPG LTNKLVESKK NKVSGSDQSI QKKVSQYCIR LEAKQRLRFN YGLTERQLLN YVRIARCAKG STGQILLQLL EMRLDNILFR LGVVPTIPSA RQLINHRHIL VNNRIVDVPS FHCKPKDIIT IGAPKTYQSI LSKRIESFAK DQVPEHLTLS LSEPKKPKGL VNYLINRESI GLTINELLVV EYYSRKA
Uniprot No.

Target Background

Function
A key rRNA-binding protein, it directly interacts with 16S rRNA, initiating the assembly of the 30S ribosomal subunit. In conjunction with S5 and S12, it plays a crucial role in maintaining translational accuracy.
Protein Families
Universal ribosomal protein uS4 family
Subcellular Location
Plastid, chloroplast.

Q&A

What is the rps4 gene and what role does it play in phylogenetic studies of Equisetum scirpoides?

The rps4 gene encodes the 30S ribosomal protein S4 in the chloroplast genome of Equisetum species. This protein is essential for chloroplast ribosome assembly and function. In phylogenetic studies, rps4 serves as a valuable marker due to its relatively conserved sequence across species while maintaining sufficient variability to distinguish between closely related taxa . The gene has been extensively used in resolving relationships within the genus Equisetum, including the placement of E. scirpoides within the subgenus Hippochaete .

Researchers value rps4 for several key reasons:

  • Moderate evolutionary rate suitable for genus-level phylogenetic analyses

  • Presence of both coding and adjacent non-coding regions that evolve at different rates

  • Universal primers that work across most land plant taxa

  • Single-copy nature in the chloroplast genome

In E. scirpoides specifically, rps4 sequence analysis has helped confirm its phylogenetic position and relationship to other members of subgenus Hippochaete . Haplotype network analyses using rps4 have shown that E. scirpoides forms a distinct haplotype (haplotype 8) separate from other Equisetum species, highlighting its unique evolutionary history .

How does E. scirpoides compare morphologically and genetically to other Equisetum species?

Equisetum scirpoides is morphologically distinct from other Equisetum species, which is reflected in its genetic differentiation as evidenced by rps4 sequence data.

Morphological characteristics:

  • Extremely small size (1-8 inches tall), making it the smallest Equisetum species

  • Distinctive twisted/contorted sterile stems that form tangled mats

  • Evergreen stems with no branches

  • Reduced leaves forming sheaths around stems with 3 black/brown teeth with white margins

  • Characteristic black banding at stem nodes

  • Tiny cone-like structures (less than 1/4 inch) at tips of fertile stems

Genetic differentiation:

  • Forms a distinct haplotype (haplotype 8) in rps4 analyses, supporting its unique evolutionary position

  • Belongs to subgenus Hippochaete, as confirmed by multiple chloroplast markers including rps4

  • Phylogenetic analyses using rps4 and other markers (atpB, matK, rpoB, trnL-F) consistently place E. scirpoides within a well-supported clade

The combination of distinctive morphological traits and genetic differentiation makes E. scirpoides relatively easy to identify compared to other Equisetum species that may have more ambiguous boundaries .

What methods are commonly employed to isolate and sequence the rps4 gene from E. scirpoides?

The isolation and sequencing of rps4 from E. scirpoides typically follows established protocols for chloroplast DNA extraction and amplification from plant tissue. Based on the research methodologies reported, the following workflow is recommended:

Sample collection and preservation:

  • Collect fresh stem tissue from verified E. scirpoides specimens

  • Properly document collection location, habitat information, and morphological characteristics

  • Preserve tissue samples rapidly (liquid nitrogen, silica gel desiccation, or -80°C storage)

DNA extraction:

  • Use standard plant DNA extraction kits (CTAB method or commercial kits optimized for plants)

  • Modify protocols to handle high silica content typical of Equisetum tissue

  • Purify DNA using silica columns or other purification methods to remove PCR inhibitors

PCR amplification:

  • Use universal rps4 primers that have been validated for Equisetum species

  • Typical primer pairs include:

    • rps5 (forward): 5'-ATGTCCCGTTATCGAGGACCT-3'

    • trnS (reverse): 5'-TACCGAGGGTTCGAATC-3'

Sequencing and analysis:

  • Perform bidirectional Sanger sequencing of PCR products

  • Clean sequences and assemble contigs using appropriate software

  • Align sequences with other Equisetum rps4 sequences for comparative analysis

These methods have proven effective for generating high-quality rps4 sequence data from E. scirpoides for phylogenetic analyses .

What challenges exist in using rps4 for species identification within the Equisetum genus?

Despite its utility, researchers face several challenges when using rps4 for Equisetum species identification:

Incomplete resolution of species boundaries:

  • rps4 alone cannot resolve all Equisetum species monophyly, as demonstrated in several phylogenetic studies

  • The monophyly of several species (E. bogotense, E. laevigatum, E. myriochaetum, E. hyemale, and E. giganteum) was not resolved in rps4 phylogenetic trees

  • Some species share identical or nearly identical rps4 sequences, limiting discriminatory power

Haplotype sharing across species:

  • Haplotype network analyses revealed complex patterns where some haplotypes contained multiple species

  • Haplotypes 7 and 9 consisted of sequences from multiple species, complicating species-level identification

Hybridization complications:

  • Frequent hybridization events in Equisetum confound rps4-based identification

  • Hybrid taxa typically show rps4 sequences matching their maternal parent species

  • Examples include Equisetum x fontqueri, Equisetum x litorale, and Equisetum x schaffneri, which possess rps4 sequences matching their maternal parents

Technical challenges:

  • Amplification difficulties due to high silica content in Equisetum tissue

  • Secondary structure formation in GC-rich regions of the rps4 gene

  • Need for optimized PCR conditions specific to Equisetum templates

These limitations suggest that while rps4 is valuable for genus-level phylogeny, it should be used in combination with other markers for accurate species identification .

What are the habitat characteristics and distribution of E. scirpoides relevant to research sample collection?

Understanding habitat characteristics and distribution is critical for accurate sample collection of E. scirpoides for rps4 research:

Habitat preferences:

  • Moist woods, peat bogs, and shady mossy wetlands

  • Part shade to full shade environments

  • Often grows in close proximity to other specimens, forming clumps due to rhizomatous growth

  • Frequently found in northern boreal and temperate forest ecosystems

Geographic distribution:

  • Native to northern regions of North America, including Minnesota and other northern states

  • Also present in northern Europe and Asia in similar habitat types

  • Often found in scattered but locally abundant populations

Collection strategies:

  • Target shaded, moist areas in northern forests for highest collection success

  • Look for the distinctive twisted stems forming tangled mats

  • Specimens are often found growing in patches due to rhizomatous spread

  • Collection is most successful in late spring through fall when vegetative growth is robust

  • When collecting, document associated plant species and microhabitat characteristics

Research considerations:

  • Seasonal variations may affect metabolite content and gene expression

  • Collection from diverse populations is recommended to capture genetic variation

  • Proper voucher specimens should be prepared and deposited in herbaria

  • Consider local abundance before collection to avoid population impacts

  • Obtain necessary permits, especially in protected areas

Following these guidelines will help ensure collection of authentic E. scirpoides specimens with proper documentation for rps4 research .

What are the optimal protocols for recombinant expression of E. scirpoides rps4 protein?

Recombinant expression of chloroplast proteins like rps4 from E. scirpoides presents unique challenges requiring optimization. Based on established methodologies for similar chloroplast proteins, the following protocol framework is recommended:

Vector selection and construct design:

  • Remove transit peptide sequences that target the protein to chloroplasts

  • Codon optimization for the chosen expression system

  • Addition of suitable affinity tags (His6, GST, or MBP) to facilitate purification

  • Consider fusion protein approaches to improve solubility

Expression system selection:

  • Escherichia coli BL21(DE3) or Rosetta strains for handling rare codons

  • Consider cold-adapted expression strains for improved folding

  • Alternative systems: Pichia pastoris for complex proteins requiring eukaryotic folding machinery

Expression optimization parameters:

ParameterRecommended RangeNotes
Temperature16-25°CLower temperatures reduce inclusion body formation
IPTG concentration0.1-0.5 mMLower concentrations favor soluble protein
Expression time4-16 hoursExtended time at lower temperature often beneficial
MediaTB or 2YTEnriched media improve yield
OD600 at induction0.6-0.8Mid-log phase typically optimal

Purification strategies:

  • Initial capture via affinity chromatography matching the fusion tag

  • Secondary purification via ion exchange chromatography

  • Size exclusion chromatography for final polishing

  • On-column refolding protocols if inclusion bodies form

Validation methods:

  • Western blot with anti-His tag or custom anti-rps4 antibodies

  • Mass spectrometry for accurate mass determination

  • Circular dichroism to assess secondary structure

  • Size exclusion chromatography to assess oligomeric state

These recommendations are based on general protocols for chloroplast proteins and would need empirical optimization for the specific case of E. scirpoides rps4.

How can researchers distinguish between true phylogenetic signal and noise in rps4 sequence data?

Distinguishing signal from noise in rps4 phylogenetic analyses requires rigorous methodological approaches:

Data quality assessment:

  • Implement stringent sequence quality filtering (Phred scores >30)

  • Perform manual inspection of chromatograms at variable sites

  • Use multiple independent DNA extractions and PCR reactions

  • Verify sequence authenticity through bidirectional sequencing

Alignment strategies:

  • Use multiple alignment algorithms (MUSCLE, MAFFT, T-Coffee) and compare results

  • Manually inspect alignments for errors, particularly at indel boundaries

  • Consider structural alignment approaches incorporating rps4 RNA secondary structure

  • Evaluate the impact of gap-handling methods on phylogenetic inference

Substitution model selection:

  • Perform hierarchical likelihood ratio tests or AIC/BIC comparisons

  • Consider partition-specific models for coding vs. non-coding regions

  • Test for site-specific rate heterogeneity using gamma distribution models

  • Evaluate model adequacy using posterior predictive simulations

Phylogenetic inference methods:

  • Compare results from multiple methods (ML, Bayesian, parsimony)

  • For Equisetum studies, evidence suggests maximum likelihood methods provide reliable results for rps4 data

  • Implement bootstrap values ≥70% and Bayesian posterior probabilities ≥0.95 as threshold support values

Assessing conflicting signals:

  • Use split decomposition or neighbor-net analyses to visualize conflicting signals

  • Implement the ILD test to assess congruence between rps4 and other markers

  • Apply quartet mapping to evaluate support for alternative topologies

  • Conduct SH tests or CONCATERPILLAR analyses to test for significant incongruence

Research on Equisetum demonstrates that rps4 provides strong phylogenetic signal at the subgenera level (Equisetum, Hippochaete, and Paramochaete) but may contain noise at the species level within subgenera, as indicated by unresolved monophyly in some species groups .

How can researchers integrate rps4 data with other molecular markers for improved phylogenetic resolution in Equisetum studies?

Integrating rps4 with complementary markers enhances phylogenetic resolution in Equisetum research. Based on the literature, effective strategies include:

Marker selection criteria:

  • Combine markers with different evolutionary rates

  • Include both coding (e.g., rps4, atpB, rpoB) and non-coding regions (e.g., trnL-F intergenic spacers)

  • Select markers from different genomic compartments (chloroplast, nuclear, mitochondrial)

  • Target markers with established utility in Equisetum phylogenetics

Effective marker combinations:

  • rps4 + matK: Provides good resolution at both subgeneric and species levels

  • rps4 + trnH-psbA: Used successfully for species identification in Equisetum

  • rps4 + atpB + rpoB: Shown to resolve subgeneric relationships with high support

  • rps4 + trnL-F: Complements rps4 by resolving relationships in different parts of the phylogeny

Data concatenation approaches:

  • Partitioned analyses with model parameters estimated separately for each marker

  • Differential weighting of markers based on evolutionary rates

  • Investigating the effect of different partition schemes on phylogenetic inference

Assessment of congruence:

  • Separate analyses of individual markers before concatenation

  • Identification of strongly supported conflicts between markers

  • Implementation of congruence metrics (ILD test, PBS values)

Species tree methods:

  • Use of coalescent-based methods (ASTRAL, *BEAST) for markers exhibiting significant incongruence

  • Explicitly modeling incomplete lineage sorting in recently diverged Equisetum lineages

  • Gene tree reconciliation methods to account for potential hybridization events

Studies show that combining rps4 with other markers significantly improves phylogenetic resolution in Equisetum, particularly for resolving relationships within subgenera that rps4 alone cannot fully resolve .

What molecular techniques can be used to study the expression and regulation of the native rps4 gene in E. scirpoides?

Understanding rps4 expression and regulation in E. scirpoides requires specialized molecular techniques adapted to this unusual plant species:

RNA isolation and quality assessment:

  • Modified RNA extraction protocols to handle high silica and phenolic content

  • Use of specialized RNA preservation solutions for field-collected samples

  • Quality assessment via Bioanalyzer RNA Integrity Number (RIN)

  • DNase treatment to remove genomic DNA contamination

Expression quantification methods:

  • RT-qPCR with rps4-specific primers and appropriate reference genes

  • Digital droplet PCR for absolute quantification

  • RNA-Seq for genome-wide expression context

  • Northern blotting for transcript size verification

Promoter and regulatory element analysis:

  • 5' RACE to map transcription start sites

  • Chloroplast-specific promoter element identification

  • Genome walking to identify upstream regulatory regions

  • In silico analysis of potential RNA-binding protein motifs

Transcript processing studies:

  • 3' RACE to identify polyadenylation sites

  • Circular RT-PCR to detect RNA editing events

  • RNA immunoprecipitation to identify RNA-binding proteins

  • Structure probing to determine RNA secondary structure

Protein-level analyses:

  • Western blotting with custom anti-rps4 antibodies

  • IP-MS to identify interacting partners

  • Polysome profiling to assess translation efficiency

  • Pulse-chase experiments to determine protein turnover rates

Environmental response studies:

  • Expression analysis under varied light, temperature, and moisture conditions

  • Comparative expression across developmental stages

  • Analysis of expression patterns in different tissues

These methods would need to be optimized specifically for E. scirpoides, taking into account its unique physiology and environmental adaptations.

How do hybridization events in Equisetum affect rps4-based phylogenetic analyses?

Hybridization events significantly impact rps4-based phylogenetic analyses in Equisetum, requiring special methodological considerations:

Maternal inheritance patterns:

  • Chloroplast genes like rps4 typically show maternal inheritance in Equisetum

  • Hybrid taxa possess rps4 sequences matching their maternal parent species

  • Examples include Equisetum x fontqueri (with E. telmateia rps4), Equisetum x litorale (with E. arvense rps4), and Equisetum x schaffneri (with either E. giganteum or E. myriochaetum rps4)

Detection of hybrids in phylogenetic analyses:

  • Incongruence between chloroplast and nuclear markers indicates potential hybridization

  • Placement of putative hybrids within clades of their maternal species in rps4 trees

  • Unexpected haplotype sharing between morphologically distinct species

Analytical approaches for hybrid-rich datasets:

  • Network-based methods (TCS haplotype networks) better visualize relationships than bifurcating trees

  • Explicit incorporation of reticulation events in phylogenetic analyses

  • Identification of potential hybrid origin through comparison of multiple loci

  • Use of methods that can accommodate horizontal gene transfer events

Documented impact on Equisetum phylogenetics:

  • Hybrid taxa create polyphyletic groupings in rps4-based analyses

  • Some species appear non-monophyletic due to hybridization (e.g., E. hyemale, E. ramosissimum)

  • Complex patterns in haplotype networks where multiple species share haplotypes

Recommended strategies:

  • Combine rps4 with nuclear markers to identify parental lineages

  • Use statistical methods to test alternative hybridization scenarios

  • Implement coalescent-based approaches that model both incomplete lineage sorting and hybridization

  • When appropriate, exclude known hybrids from initial phylogenetic analyses

These considerations are especially important in Equisetum research, as hybridization is frequent in this genus and can significantly confound phylogenetic inference based solely on maternally inherited markers like rps4 .

What bioinformatic approaches are most effective for analyzing rps4 sequence data in Equisetum phylogenetics?

Effective bioinformatic analysis of rps4 sequence data in Equisetum phylogenetics requires specialized approaches:

Sequence alignment optimization:

  • MAFFT or MUSCLE algorithms with E-INS-i strategy for sequences with conserved domains and variable regions

  • Manual adjustment of alignments, particularly around indel regions

  • Consideration of structure-based alignment approaches for coding regions

  • For multi-gene analyses, implementation of iterative alignment refinement strategies

Phylogenetic inference optimization:

  • Maximum likelihood methods (RAxML, IQ-TREE) have shown good performance with rps4 data

  • Bayesian inference (MrBayes, BEAST) for studies incorporating time calibration

  • Model selection via ModelFinder or PartitionFinder

  • Bootstrapping with at least 1,000 replicates or Bayesian posterior probability assessment

Network analysis approaches:

  • TCS or median-joining networks for haplotype visualization

  • Use of SplitsTree for network representation of conflicting signals

  • Statistical parsimony networks for closely related species or populations

  • Reticulogram construction for datasets with known hybridization

Comparative sequence analysis:

  • Sliding window analysis to identify regions of variable vs. conserved sequence

  • McDonald-Kreitman tests to detect selection

  • Codon-based tests for positive selection (PAML)

  • Analysis of synonymous vs. non-synonymous substitution rates

Data visualization strategies:

  • FigTree or iTOL for phylogenetic tree visualization

  • Customized R scripts for haplotype network visualization

  • Tanglegrams for comparing topologies from different markers

  • Heatmaps for visualization of sequence divergence patterns

Recommended analytical pipeline:

  • Quality filtering and trimming of raw sequences

  • Multiple sequence alignment with manual refinement

  • Model testing and selection

  • Parallel analyses using ML and Bayesian approaches

  • Assessment of node support via bootstrapping and posterior probabilities

  • Network analysis for datasets with potential reticulation

  • Comparative analysis with other published Equisetum phylogenies

These approaches have proven effective in resolving relationships within Equisetum using rps4 data, particularly when implemented as part of a multi-marker strategy .

What are the implications of rps4 haplotype diversity for understanding Equisetum evolution and speciation?

The rps4 haplotype diversity patterns in Equisetum provide valuable insights into evolutionary processes within the genus:

Patterns of haplotype diversity:

  • Haplotype network analyses reveal complex evolutionary relationships within Equisetum

  • Some species like E. scirpoides possess unique haplotypes (haplotype 8), suggesting distinct evolutionary trajectories

  • Other species share haplotypes despite morphological differences, indicating recent divergence or gene flow

  • Complex patterns in subgenus Hippochaete suggest ongoing speciation processes

Evolutionary implications:

  • The basal position of E. bogotense (subgenus Paramochaete) with distinct haplotypes (1-3) supports its early divergence in Equisetum evolution

  • Clear separation between subgenera Equisetum and Hippochaete confirms their ancient divergence

  • Shared haplotypes between morphologically distinct species suggest incomplete lineage sorting or hybridization

  • Unique haplotypes in some species (E. scirpoides, E. palustre) indicate reproductive isolation and independent evolution

Speciation process insights:

  • Evidence for both allopatric and sympatric speciation modes within Equisetum

  • Indication that hybridization plays a significant role in Equisetum evolution

  • Suggestion that some traditionally recognized species may represent ecotypes rather than genetically isolated lineages

  • Support for the hypothesis that Equisetum represents an ancient genus with both deep divergences and recent radiations

Taxonomic implications:

  • Support for the three-subgenera classification of Equisetum: Paramochaete, Equisetum, and Hippochaete

  • Evidence that some currently recognized species may require taxonomic revision

  • Confirmation that E. bogotense represents a basal lineage within the genus

  • Indication that subgenus Hippochaete contains multiple complex species groups with ongoing gene flow

The rps4 haplotype diversity patterns, particularly when analyzed in combination with other markers, provide valuable insights into the complex evolutionary history of this ancient plant lineage that has persisted since the Devonian period .

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