Identification Of Pseudogenes Research Articles

Unravelling the due importance of pseudogenes and their resurrection in plants

The complexities of a genome are underpinned to the vast expanses of the intergenic region, which constitutes ∼97–98% of the genome. This region is essentially composed of what is colloquially referred to as the “junk DNA” and is composed of various elements like transposons, repeats, pseudogenes, etc. The latter have long been considered as dead elements merely contributing to transcriptional noise in the genome. Many studies now describe the previously unknown regulatory functions of these genes. Recent advances in the Next-generation sequencing (NGS) technologies have allowed unprecedented access to these regions. With the availability of whole genome sequences of more than 788 different plant species in past 20 years, genome annotation has become feasible like never before. Different bioinformatic pipelines are available for the identification of pseudogenes. However, still little is known about their biological functions. The functional validation of these genes remains challenging and research in this area is still in infancy, particularly in plants. CRISPR/Cas-based genome editing could provide solutions to understand the biological roles of these genes by allowing creation of precise edits within these genes. The possibility of pseudogene reactivation or resurrection as has been demonstrated in a few studies might open new avenues of genetic manipulation to yield a desirable phenotype. This review aims at comprehensively summarizing the progress made with regards to the identification of pseudogenes and understanding their biological functions in plants.

Identification of potential pseudogenes for predicting the prognosis of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) remains a highly deadly malignant tumor with high recurrence and metastasis rates. Cancer stem cells (CSCs) are involved in tumor metastasis, recurrence, and resistance to drugs, which have attracted widespread attention in recent years. Research has shown that pseudogenes may regulate stemness to promote the progression of HCC, but its specific mechanisms and impact on prognosis remain unclear. In this study, clinical prognosis information of HCC was first downloaded from The Cancer Genome Atlas (TCGA) database. Then we calculated the mRNA expression-based stemness index (mRNAsi) of HCC. We also screened the differentially expressed pseudogene (DEPs) and conducted univariate Cox regression analysis to investigate their effect on the prognosis of HCC. Further, genomic mutation frequency analysis and weighted gene co-expression network analysis (WGCNA) were performed to compare the role of pseudogenes and stemness in promoting the progression of HCC. Finally, we conducted the correlation analysis to examine the potential mechanism of pseudogenes regulating stemness to promote the progression of HCC and detected the possible pathways through the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Herein, we revealed that the high stemness of HCC correlated with an unfavorable prognosis. We obtained 31 up-regulated and 8 down-regulated DEPs in HCC and screened CTB-63M22.1, a poor prognostic indicator of HCC. In addition, CTB-63M22.1 had a mutation frequency similar to mRNAsi and acted in a module similar to that of mRNAsi on HCC. We then screened two RNA-binding proteins (RBPs) LIN28B and NOP56 with the highest correlation with stemness. We also discovered that they were primarily enriched in the biological process as examples of mitotic nuclear division and cell cycle. Collectively, these results revealed that pseudogenes CTB-63M22.1 may regulate cancer stemness by regulating RBPs, suggesting that CTB-63M22.1 may serve as an innovative therapeutic target and a reliable prognostic marker for HCC.

Numt Parser: Automated identification and removal of nuclear mitochondrial pseudogenes (numts) for accurate mitochondrial genome reconstruction in Panthera.

Nuclear mitochondrial pseudogenes (numts) may hinder the reconstruction of mtDNA genomes and affect the reliability of mtDNA datasets for phylogenetic and population genetic comparisons. Here, we present the program Numt Parser, which allows for the identification of DNA sequences that likely originate from numt pseudogene DNA. Sequencing reads are classified as originating from either numt or true cytoplasmic mitochondrial (cymt) DNA by direct comparison against cymt and numt reference sequences. Classified reads can then be parsed into cymt or numt datasets. We tested this program using whole genome shotgun-sequenced data from 2 ancient Cape lions (Panthera leo), because mtDNA is often the marker of choice for ancient DNA studies and the genus Panthera is known to have numt pseudogenes. Numt Parser decreased sequence disagreements that were likely due to numt pseudogene contamination and equalized read coverage across the mitogenome by removing reads that likely originated from numts. We compared the efficacy of Numt Parser to 2 other bioinformatic approaches that can be used to account for numt contamination. We found that Numt Parser outperformed approaches that rely only on read alignment or Basic Local Alignment Search Tool (BLAST) properties, and was effective at identifying sequences that likely originated from numts while having minimal impacts on the recovery of cymt reads. Numt Parser therefore improves the reconstruction of true mitogenomes, allowing for more accurate and robust biological inferences.

Extensive nrDNA ITS polymorphism in Lycium: Non-concerted evolution and the identification of pseudogenes.

The internal transcribed spacer (ITS) is one of the most extensively sequenced molecular markers in plant systematics due to its generally concerted evolution. While non-concerted evolution has been found in some plant taxa, such information is missing in Lycium. Molecular studies of six species and two variants of the genus Lycium revealed high levels of intra- and inter-individual polymorphism in the ITS, indicating non-concerted evolution. All genomic DNA ITS paralogues were identified as putative pseudogenes or functional paralogues through a series of comparisons of sequence features, including length and substitution variation, GC content, secondary structure stability, and the presence of conserved motifs in the 5.8S gene, and the rate of evolution. Approximately, 60% of ITS pseudogenes could be easily detected. Based on phylogenetic analysis, all pseudogenes were highly distinct from their corresponding functional copies, tended to evolve neutrally, and clustered randomly together in the evolutionary tree. The results probably suggest that this ITS non-concerted evolution is related to the recent divergence between tandem repeats within the Lycium genome and hybridization between species. Our study complements those of pseudogenes in plant taxa and provides a theoretical basis for the phylogeny and genetic origin of the genus Lycium while having important implications for the use of ITS molecular markers for phylogenetic reconstruction.

Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes.

Prokaryotic genomes are usually densely packed with intact and functional genes. However, in certain contexts, such as after recent ecological shifts or extreme population bottlenecks, broken and nonfunctional gene fragments can quickly accumulate and form a substantial fraction of the genome. Identification of these broken genes, called pseudogenes, is a critical step for understanding the evolutionary forces acting upon, and the functional potential encoded within, prokaryotic genomes. Here, we present Pseudofinder, an open-source software dedicated to pseudogene identification and analysis in bacterial and archaeal genomes. We demonstrate that Pseudofinder’s multi-pronged, reference-based approach can detect a wide variety of pseudogenes, including those that are highly degraded and typically missed by gene-calling pipelines, as well newly formed pseudogenes containing only one or a few inactivating mutations. Additionally, Pseudofinder can detect genes that lack inactivating substitutions but experiencing relaxed selection. Implementation of Pseudofinder in annotation pipelines will allow more precise estimations of the functional potential of sequenced microbes, while also generating new hypotheses related to the evolutionary dynamics of bacterial and archaeal genomes.

P\u03a8Finder: a practical tool for the identification and visualization of novel pseudogenes in DNA sequencing data

BackgroundProcessed pseudogenes (PΨgs) are disabled gene copies that are transcribed and may affect expression of paralogous genes. Moreover, their insertion in the genome can disrupt the structure or the regulatory region of a gene, affecting its expression level. These events have been identified as occurring mutations during cancer development, thus being able to identify PΨgs and their location will improve their impact on diagnostic testing, not only in cancer but also in inherited disorders.ResultsWe have implemented PΨFinder (P-psy-finder), a tool that identifies PΨgs, annotates known ones and predicts their insertion site(s) in the genome. The tool screens alignment files and provides user-friendly summary reports and visualizations. To demonstrate its applicability, we scanned 218 DNA samples from patients screened for hereditary colorectal cancer. We detected 423 PΨgs distributed in 96% of the samples, comprising 7 different parent genes. Among these, we confirmed the well-known insertion site of the SMAD4-PΨg within the last intron of the SCAI gene in one sample. While for the ubiquitous CBX3-PΨg, present in 82.6% of the samples, we found it reversed inserted in the second intron of the C15ORF57 gene.ConclusionsPΨFinder is a tool that can automatically identify novel PΨgs from DNA sequencing data and determine their location in the genome with high sensitivity (95.92%). It generates high quality figures and tables that facilitate the interpretation of the results and can guide the experimental validation. PΨFinder is a complementary analysis to any mutational screening in the identification of disease-causing mutations within cancer and other diseases.

Identification of key pseudogenes in nasopharyngeal carcinoma based on RNA-Seq analysis

BackgroundNasopharyngeal carcinoma (NPC) is a malignant head and neck tumor, and more than 70% of new cases are in East and Southeast Asia. However, association between NPC and pseudogenes playing important roles in genesis of multiple tumor types is still not clear and needs to be investigated.MethodsUsing RNA-Sequencing (RNA-seq) technology, we analyzed pseudogene expression in 13 primary NPC and 6 recurrent NPC samples as well as their paracancerous counterparts. Quantitative PCR was used to validate the differentially expressed pseudogenes.ResultsWe found 251 differentially expressed pseudogenes including 73 up-regulated and 178 down-regulated ones between primary NPC and paracancerous tissues. Enrichment analysis of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were conducted to filter out the key pseudogenes. We reported that pseudogenes from cytochrome P450 (CYP) family, such as CYP2F2P, CYP2G1P, CYP4F24P, CYP2B7P and CYP2G2P were significantly down-regulated in NPC compared to paracancerous tissues, while IGHV1OR15–2, IGHV3–11, FCGR1CP and IGHV3–69-1 belonging to Fc gamma receptors were significantly up-regulated. CYP2B7P, CYP2F2P and CYP4F26P were enriched in arachidonic acid metabolism pathway. The qRT-PCR analysis validated the lower expression of pseudogenes CYP2F2P and CYP2B7P in NPC tissues and cell lines compared to paracancerous tissues and normal human nasopharyngeal epithelial cell line. CYP2B7P overexpression weakened migratory and invasive capacity of NPC cell line. Moreover, the expression pattern of those pseudogenes in recurrent NPC tissues was different from the primary NPC.ConclusionThis study suggested the role of pseudogenes in tumorigenesis and progression, potentially functioning as therapeutic targets to NPC.

Variations in the conserved 18S and 5.8S reveal the putative pseudogenes in 18S-ITS1-5.8S rDNA of Cynoglossus melampetalus (Pleuronectiformes: Cynoglossidae)

Many early studies of ribosomal RNA gene (rDNA) suggested that rDNA tandem repeats within species are homogeneous. However, increasing number of reports have found intra-individual rDNA polymorphism across a range of taxa. Here, we reported a high level of intra-individual polymorphism of 18S-ITS1-5.8S rDNA in the genome of Cynoglossus melampetalus (Pleuronectiformes: Cynoglossidae), indicating a non-concerted evolution manner. Sequence alignments found two distinct types of 18S and 5.8S (Type A and B) and five types of ITS1 sequence (Type A - E) coexisted in the genome differing in length, GC content, secondary structure stability and minimum free energy. Based on the unique features of pseudogene and comparison of the conserved 18S rDNA sequence and 5.8S secondary structure of 22 flatfishes revealed that Type B sequences of 18S, 5.8S and their linked ITS1 were putative pseudogenes. So far, detection of rRNA pseudogenes from the multiple rDNA copies has been an intricate puzzle. Our results, as a result, provide a new ideal for rRNA pseudogene identification.

Genetic polymorphism of Japanese cultivated Rheum species in the internal transcribed spacer region of nuclear ribosomal DNA.

In order to develop new domestic production of Rhei Rhizoma (RR) from Rheum specimens cultivated in the Sugadaira Medicinal Plant Cultivation Test Field (SMPCF), the ITS sequences of 12 SMPCF specimens and Chinese Rheum specimens of four species, as well as RR samples produced in North Korea, China and Japan, were determined by subcloning and their sequences were compared. As the ITS sequences of 10 SMPCF specimens showed significant intra-individual polymorphism, identification of pseudogenes was conducted by detecting the three motifs of the 5.8S sequence and the stability of the 5.8S secondary structure. Approximately 46% of sequences obtained from the SMPCF specimens were putative pseudogenes. The maximum likelihood tree based on ITS sequences showed three main groups-the outer group and inner clusters I and II; clones from 10 SMPCF specimens including putative pseudogenes belonged to the outer group. Cluster I was composed of two clades, one including clones from R. officinale specimens and R. palmatum-derived samples with matK genotype Rp9, and another including clones from R. coreanum-derived samples. Cluster II consisted of three clades, one including clones from R. palmatum specimens with genotype Rp5, another including clones mainly from R. tanguticum specimens with genotype Rt4, and the third including clones from R. palmatum or R. tanguticum specimens with various matK genotypes. Clones from SMPCF specimen RC5 showed a close relationship with those from R. tanguticum specimens with matK genotype Rt4, whereas those from specimen RC9 related to R. coreanum-derived samples. As a result, specimens RC5 and RC9 were considered as candidates for the development of domestic RR.

Identification of Potential Prostate Cancer-Related Pseudogenes Based on Competitive Endogenous RNA Network Hypothesis.

BackgroundLong noncoding RNAs (lncRNAs) have been revealed to function as competing endogenous RNAs (ceRNAs), which can seclude the common microRNAs (miRNAs) and hence prevent the miRNAs from binding to their ancestral gene. Nonetheless, the role of lncRNA-mediated ceRNAs in prostate cancer has not yet been elucidated.Material/MethodsUsing The Cancer Genome Atlas (TCGA) database, lncRNA, miRNA, and mRNA profiles from 499 prostate cancer tissues and 52 normal prostate tissues were analyzed with the R package “DESeq” to identify the differentially expressed RNAs. GO and KEGG pathway analyses were performed using “DAVID6.8” and R packages “Clusterprofile.” The ceRNA network in prostate cancer was constructed using miRDB, miRTarBase, and TargetScan databases. Survival analysis was performed with Kaplan-Meier analysis.ResultsA total of 376 lncRNAs, 33 miRNAs, and 687 mRNAs were identified as significant factors in tumorigenesis. Based on the hypothesis that the ceRNA network (lncRNA-miRNA-mRNA regulatory axis) is involved in prostate cancer and forms competitive interrelations between miRNA and mRNA or lncRNA, we constructed a ceRNA network that included 23 lncRNAs, 6 miRNAs, and 2 mRNAs that were differentially expressed in prostate cancer. Only 3 lncRNAs (LINC00308, LINC00355, and OSTN-AS1) had a significant association with survival (P<0.05). The 3 prostate cancer-specific lncRNA were validated in prostate cancer cell lines PC3 and DU145 using qRT-PCR.ConclusionsWe demonstrated the differential lncRNA expression profiles in prostate cancer, which provides new insights for future studies of the ceRNA network and its regulatory mechanisms in prostate cancer.

Characterization of 18S-ITS1-5.8S rDNA in eleven species in Soleidae: implications for phylogenetic analysis

For several decades, both concerted evolution and non-concerted evolution of rRNA genes have been discovered in a wide variety of species. To explore the evolutionary patterns and to evaluate the variability at the intra-individual and interspecific levels in Soleidae, a total of 233 complete 18S-ITS1-5.8S rDNA sequences from 11 representative species were generated. The results indicated that six species had little variation, suggesting a concerted evolutionary pattern. However, in the other five species, much variation was observed. Two or three types of 18S and ITS1-5.8S, or even the entire 18S-ITS1-5.8S rDNA sequence, were identified, suggesting a non-concerted evolutionary pattern. According to the pseudogene identification criteria, Type B and C in the five species that underwent non-concerted evolution were postulated as pseudogenes. The phylogenetic analysis based on these rDNA sequences showed that some of the pseudogenes diverged from the corresponding species or even clustered with other species, and the potential causes for this are discussed. Further analyses of the pseudogenes revealed that they could also provide particular evolutionary information, suggesting that pseudogenes should be taken into consideration rather than being discarded arbitrarily. Moreover, the results provided molecular support for the inclusion of Pseudaesopia japonica in the genus Pseudaesopia, and not in Zebrias or other genera.

Marked intra-genomic variation and pseudogenes in the ITS1-5.8S-ITS2 rDNA of Symphurus plagiusa (Pleuronectiformes: Cynoglossidae)

AbstractThe eukaryotic ribosomal DNA (rDNA) cluster consists of multiple copies of three genes (18S, 5.8S, and 28S rDNA) and two internal transcribed spacers (ITS1 and ITS2). In recent years, an increasing number of rDNA sequence polymorphisms have been identified in numerous species. In the present study, we provide 33 complete ITS (ITS1-5.8S-ITS2) sequences from twoSymphurus plagiusaindividuals. To the best of our knowledge, these sequences are the first detailed information on ITS sequences in Pleuronectiformes. Here, two divergent types (Type A and B) of the ITS1-5.8S-ITS2 rDNA sequence were found, which mainly differ in sequence length, GC content, nucleotide diversity (π), secondary structure and minimum free energy. The ITS1-5.8S-ITS2 rDNA sequence of Type B was speculated to be a putative pseudogene according to pseudogene identification criteria. Cluster analysis showed that sequences from the same type clustered into one group and two major groups were formed. The high degree of ITS1-5.8S-ITS2 sequence polymorphism at the intra-specific level indicated that theS. plagiusagenome has evolved in a non-concerted evolutionary manner. These results not only provide useful data for ribosomal pseudogene identification, but also further contribute to the study of rDNA evolution in teleostean genomes.

Curious bivalves: Systematic utility and unusual properties of anomalodesmatan mitochondrial genomes

Mitogenomic trees for Bivalvia have proved problematic in the past, but several highly divergent lineages were missing from these analyses and increased representation of these groups may yet improve resolution. Here, we add seven new sequences from the Anomalodesmata and one unidentified semelid species (Bryopa lata, Euciroa cf. queenslandica, Laternula elliptica, Laternula truncata, Lyonsia norwegica, Myadora brevis, Tropidomya abbreviata, “Abra” sp.). We show that relationships in a mitogenomic tree for the Class are improved by the addition of seven anomalodesmatans from this highly divergent clade, but are still not completely consistent with relationships recovered in studies of nuclear genes. We suggest that some anomalous relationships (for instance the non-monophyly of Bivalvia) may be partially explained by compositional heterogeneity in the mitogenome and suggest that the addition of more taxa may help resolve both this effect and possible instances of long branch attraction. We also identify several curious features about anomalodesmatan mitogenomes. For example, many protein-coding gene boundaries are poorly defined in marine bivalves, but particularly so in anomalodesmatans, primarily due to non-conserved boundary sequences. The use of transcriptomic and genomic data together enabled better definition of gene boundaries, the identification of possible pseudogenes and suggests that most genes are translated monocistronically, which contrasts with many other studies. We also identified a possible case of gene duplication of ND5 in Myadora brevis (Myochamidae). Mitogenome size in the Anomalodesmata ranges from very small compact molecules, with the smallest for Laternula elliptica (Laternulidae) only 14,622bp, to Bryopa lata (Clavagellidae) which is at least 31,969bp long and may be >40,000bp. Finally, sampled species show a high degree of sequence divergence and variable gene order, although intraspecific variation in Laternula elliptica is very low.

Divergence thresholds and divergent biodiversity estimates: can metabarcoding reliably describe zooplankton communities?

DNA metabarcoding is a promising method for describing communities and estimating biodiversity. This approach uses high-throughput sequencing of targeted markers to identify species in a complex sample. By convention, sequences are clustered at a predefined sequence divergence threshold (often 3%) into operational taxonomic units (OTUs) that serve as a proxy for species. However, variable levels of interspecific marker variation across taxonomic groups make clustering sequences from a phylogenetically diverse dataset into OTUs at a uniform threshold problematic. In this study, we use mock zooplankton communities to evaluate the accuracy of species richness estimates when following conventional protocols to cluster hypervariable sequences of the V4 region of the small subunit ribosomal RNA gene (18S) into OTUs. By including individually tagged single specimens and “populations” of various species in our communities, we examine the impact of intra- and interspecific diversity on OTU clustering. Communities consisting of single individuals per species generated a correspondence of 59–84% between OTU number and species richness at a 3% divergence threshold. However, when multiple individuals per species were included, the correspondence between OTU number and species richness dropped to 31–63%. Our results suggest that intraspecific variation in this marker can often exceed 3%, such that a single species does not always correspond to one OTU. We advocate the need to apply group-specific divergence thresholds when analyzing complex and taxonomically diverse communities, but also encourage the development of additional filtering steps that allow identification of artifactual rRNA gene sequences or pseudogenes that may generate spurious OTUs.

Methods of identification of pseudogenes based on functionality: hybridization of 18S rRNA and mRNA during translation.

Protein-coding sequences are characterized by a period-3 free energy signal that arises from the interaction between the 3'-terminal nucleotides of the 18S rRNA and the mRNA. Such a signal is not present in noncoding sequences such as introns and intergenic regions and can be used for pseudogene identification.

MAKER-P: A Tool Kit for the Rapid Creation, Management, and Quality Control of Plant Genome Annotations    

We have optimized and extended the widely used annotation engine MAKER in order to better support plant genome annotation efforts. New features include better parallelization for large repeat-rich plant genomes, noncoding RNA annotation capabilities, and support for pseudogene identification. We have benchmarked the resulting software tool kit, MAKER-P, using the Arabidopsis (Arabidopsis thaliana) and maize (Zea mays) genomes. Here, we demonstrate the ability of the MAKER-P tool kit to automatically update, extend, and revise the Arabidopsis annotations in light of newly available data and to annotate pseudogenes and noncoding RNAs absent from The Arabidopsis Informatics Resource 10 build. Our results demonstrate that MAKER-P can be used to manage and improve the annotations of even Arabidopsis, perhaps the best-annotated plant genome. We have also installed and benchmarked MAKER-P on the Texas Advanced Computing Center. We show that this public resource can de novo annotate the entire Arabidopsis and maize genomes in less than 3 h and produce annotations of comparable quality to those of the current The Arabidopsis Information Resource 10 and maize V2 annotation builds.

Nuclear rDNA pseudogenes in Chagas disease vectors: Evolutionary implications of a new 5.8S+ITS-2 paralogous sequence marker in triatomines of North, Central and northern South America

A pseudogene, paralogous to rDNA 5.8S and ITS-2, is described in Meccus dimidiata dimidiata, M. d. capitata, M. d. maculippenis, M. d. hegneri, M. sp. aff. dimidiata, M. p. phyllosoma, M. p. longipennis, M. p. pallidipennis, M. p. picturata, M. p. mazzottii, Triatoma mexicana, Triatoma nitida and Triatoma sanguisuga, covering North America, Central America and northern South America. Such a nuclear rDNA pseudogene is very rare. In the 5.8S gene, criteria for pseudogene identification included length variability, lower GC content, mutations regarding the functional uniform sequence, and relatively high base substitutions in evolutionary conserved sites. At ITS-2 level, criteria were the shorter sequence and large proportion of insertions and deletions (indels). Pseudogenic 5.8S and ITS-2 secondary structures were different from the functional foldings, different one another, showing less negative values for minimum free energy (mfe) and centroid predictions, and lower fit between mfe, partition function, and centroid structures. A complete characterization indicated a processed pseudogenic unit of the ghost type, escaping from rDNA concerted evolution and with functionality subject to constraints instead of evolving free by neutral drift. Despite a high indel number, low mutation number and an evolutionary rate similar to the functional ITS-2, that pseudogene distinguishes different taxa and furnishes coherent phylogenetic topologies with resolution similar to the functional ITS-2. The discovery of a pseudogene in many phylogenetically related species is unique in animals and allowed for an estimation of its palaeobiogeographical origin based on molecular clock data, inheritance pathways, evolutionary rate and pattern, and geographical spread. Additional to the technical risk to be considered henceforth, this relict pseudogene, designated as “ps(5.8S+ITS-2)”, proves to be a valuable marker for specimen classification, phylogenetic analyses, and systematic/taxonomic studies. It opens a new research field, Chagas disease epidemiology and control included, given its potential relationships with triatomine fitness, behaviour and adaptability.

Identification and bioinformatics analysis of pseudogenes from whole genome sequence of Phaeodactylum tricornutum

Pseudogenes share sequence similarities with functional genes, but in general they have lost their protein-coding ability. The identification of pseudogenes is a very important step in genome annotation. Phaeodactylum tricornutum is a marine diatom that is rich in polyunsaturated fatty acids (PUFAs). The genome of P. tricornutum has been completely sequenced. To identify pseudogenes in P. tricornutum, we developed a pipeline to discover and characterize pseudogenes. We identified a total of 1654 ‘true’ processed pseudogenes, 714 duplicated pseudogenes and 4729 pseudogene fragments. The results of the bioinformatics analysis indicated that the genome sequence of P. tricornutum contained many pseudogenes and pseudogene fragments.

Advances in Research on Pseudogenes

Pseudogenes,disabled copies of functional genes,are structurally similar to its parantal genes,but lost their ability to produce proteins.Pseudogene was used to be considered as a typical kind of non-coding"junk DNA".Increasing investigations,however,have shown that pseudogenes play important roles in gene regulation and genome evolution.The progress of research on pseudogenes is summarized in light of the origin and sequence characteristics of pseudogenes,identification of pseudogenes,genomic distribution,behaviour of its molecular evolution and functioning.

Pseudogene: lessons from PCR bias, identification and resurrection

Pseudogenes are fragments of non-functional genomic DNA with high sequences similarity to normal functional genes. They are a kind of non-coding DNA produced by gene duplications or retrotranspositions. Pseudogenes exist in human genome at a large quantity which is nearly as much as that of normal functional genes. They could cause PCR bias in molecular biology experiments and confuse related analysis. On the other hand, pesudogenes are important elements in genomics study for getting an integral picture of genome annotation. They give diverse information of evolutionary history and are regarded as genome fossils. Worldwide research project "encyclopedia of DNA elements"(ENCODE) founded in recent years have enhanced our understanding of pseudogenes. Approaches established to identify pseudogenes include PseudoPipe, HAVANA method, PseudoFinder, RetroFinder, GIS-PET method and consensus method. This paper discuss pseudogenes with respect to the formation mechanisms, distribution, and problems for PCR, importance and identification of pseudogenes. Furthermore, potential resurrection of pseudogenes and their potential function are discussed.