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Molecular signatures in protein sequences that are characteristics of the phylum Aquificae.

Species of the phylum Aquificae are of great interest due to their strict extreme thermophilic growth characteristics. Presently, there is no known molecular characteristic which is unique to this group of bacteria. This work describes six conserved inserts and deletions (indels or signature sequences) in four widely distributed proteins that are distinctive features of species from the phylum Aquificae. These include three signatures consisting of a 2 aa insert, a 5-6 aa insert and a 6 aa deletion in DNA polymerase I (PolA), a 6-7 aa insert in glucose-inhibited protein A (GidA), a 52 aa insert in the RNA polymerase beta'-subunit (RpoC) and a 4 aa insert in elongation factor Tu (EF-Tu). Fragments of these genes were amplified in most cases from Hydrogenobacter hydrogenophilus, Hydrogenothermus marinus and Thermocrinis ruber and combined with available sequence data from 'Aquifex aeolicus' and Sulfurihydrogenibium azorense. The presence of the PolA, GidA and RpoC indels in all of the species sequenced provides evidence that they are probably distinctive characteristics of the entire phylum. The indel in EF-Tu, which is shared by Aquifex species and Hydrogenobacter but not Hydrogenothermus and Sulfurihydrogenibium, may provide a molecular marker for the family Aquificaceae. We have also identified a 51 aa insert in SecA preprotein translocase that is commonly shared by various species of the Aquificae as well as two Thermotoga species (Thermotoga maritima and Thermotoga neapolitana) which may be due to lateral gene transfer between these groups. In phylogenetic trees based on a concatenated dataset of fragments from eight different proteins as well as 16S rRNA, the observed branching pattern of these species was very similar and it was consistent with the relationships inferred from various indels. The identified indels provide a novel means for distinguishing species of the Aquificae from all other bacteria in molecular terms and may prove useful for functional studies aimed at understanding the unique biochemical and physiological characteristics of the Aquificae.

Adenosine Triphosphatases↗

Rooting the tree of life using nonubiquitous genes.

Insertion and deletion (indel)-based analyses have great potential for rooting the tree of life, but their use has been limited because they require ubiquitous sequences that have not been horizontally/laterally transferred. Very few such sequences exist. Here we describe and demonstrate a new algorithm that can use nonubiquitous sequences for rooting. This algorithm, top-down indel rooting, uses the traditional logical framework of indel rooting, but by considering gene gains and losses in addition to indel gains and losses, it is able to analyze incomplete data sets. The method is demonstrated using theoretical examples and incomplete gene sets. In particular, it is applied to the well-studied Hsp70/MreB indel, a sequence set thought to have been compromised by gene transfers from Firmicutes to archaebacteria. By sequentially assigning all observable character states, including gene absences, to the questionable archaebacterial Hsp70 and MreB sequences, we demonstrate that this gene set robustly excludes the root of the tree of life from the Gram-negative, double-membrane prokaryotes independently of the archaeal character states. There are very few ubiquitous paralog gene sets, and most of them contain compromised data. The ability of top-down rooting to use incomplete and/or compromised gene sets promises to make rooting analyses more robust and to greatly increase the number of useful indel sets.

Algorithms↗

Phylogenetic, amino acid content and indel analyses of the beta subunit of DNA-dependent RNA polymerase of gram-positive and gram-negative bacteria.

In this study, we have sequenced the rpoB gene, encoding the beta subunit of DNA-dependent RNA polymerase, from a selection of gram-positive and gram-negative bacteria. The presence of insertions and deletions (indels) in the beta subunit separate the gram-positive and gram-negative bacteria from each other and support the division of the gram-positive organisms into two clades based on DNA G+C content. Phylogenetic and amino acid content analyses further separate the clostridia from bacilli, leuconostocs, listeriae and relatives, forming an early branch after the common gram-positive ancestor. The occurrence in the beta subunit of Asn-Ala at positions 471-472 in Porphyromonas cangingivalis and Asn at position 372 in Weissella paramesenteroides are postulated to be the cause of the natural rifampicin resistance of these species.

Amino Acid Sequence↗

Insertion/deletion frequencies match those of point mutations in the hypervariable regions of the simian immunodeficiency virus surface envelope gene.

A method for encoding insertions and deletions (indels) has been developed and adapted to the SplitsTree program. Following phylogenetic reconstruction, the relative frequencies of indels were estimated for a large number of in vivo sequence sets corresponding to the env V1 hypervariable region of the simian immunodeficiency virus SIVmac251. The method allowed recovery of many point mutations hitherto lost due to gap stripping. Deletions were as frequent as transversions and were 4- to 8-fold more frequent than insertions, invariably duplications. The high proportion of deletions among mutation events suggests that lentivirus vectors may readily delete parts of their cargo.

Base Sequence↗

SIMPROT: using an empirically determined indel distribution in simulations of protein evolution.

BACKGROUND: General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis and for the computer simulation of artificial sequence data sets. RESULTS: We have developed a new method of simulating protein sequence evolution, including insertion and deletion (indel) events in addition to amino-acid substitutions. The simulation generates both the simulated sequence family and a true sequence alignment that captures the evolutionary relationships between amino acids from different sequences. Our statistical model for indel evolution is based on the empirical indel distribution determined by Qian and Goldstein. We have parameterized this distribution so that it applies to sequences diverged by varying evolutionary times and generalized it to provide flexibility in simulation conditions. Our method uses a Monte-Carlo simulation strategy, and has been implemented in a C++ program named Simprot. CONCLUSION: Simprot will be useful for testing methods of analysis of protein sequence families particularly alignment methods, phylogenetic tree building, detection of recombination and horizontal gene transfer, and homology detection, where knowing the true course of sequence evolution is essential.

Amino Acid Substitution↗

Comparative genomic analysis of human and chimpanzee indicates a key role for indels in primate evolution.

Sequence comparison of humans and chimpanzees is of interest to understand the mechanisms behind primate evolution. Here we present an independent analysis of human chromosome 21 and the high-quality BAC clone sequences of the homologous chimpanzee chromosome 22. In contrast to previous studies, we have used global alignment methods and Ensembl predictions of protein coding genes (n = 224) for the analysis. Divergence due to insertions and deletions (indels) along with substitutions was examined separately for different genomic features (coding, noncoding genic, and intergenic sequence). The major part of the genomic divergence could be attributed to indels (5.07%), while the nucleotide divergence was estimated as 1.52%. Thus the total divergence was estimated as 6.58%. When excluding repeats and low-complexity DNA the total divergence decreased to 2.37%. The chromosomal distribution of nucleotide substitutions and indel events was significantly correlated. To further examine the role of indels in primate evolution we focused on coding sequences. Indels were found within the coding sequence of 13% of the genes and approximately half of the indels have not been reported previously. In 5% of the chimpanzee genes, indels or substitutions caused premature stop codons that rendered the affected transcripts nonfunctional. Taken together, our findings demonstrate that indels comprise the majority of the genomic divergence. Furthermore, indels occur frequently in coding sequences. Our results thereby support the hypothesis that indels may have a key role in primate evolution.

Animals↗

Enhanced exonuclease-Cas9 systems promote multiple nucleotide deletions with higher efficiency and broader targeting scope in plants.

CRISPR-Cas9 is a widely used platform for plant genome editing, but its outcomes are typically dominated by small insertions and deletions (indels). Such limited mutation profiles restrict its utility in functional studies of non-coding RNAs and regulatory elements, such as microRNAs (miRNAs), untranslated regions (UTRs), and promoter sequences, where larger sequence disruptions are often required. Here, we developed enhanced exonuclease-Cas9 platforms, termed multiple nucleotide deletion Cas9 (MND-Cas9) systems, for efficient generation of large deletions in rice. By screening four exonucleases (RecJ, T5, TREX2, and SbcB), we established MND-Cas9v1 systems based on TREX2 or SbcB that produced substantially larger deletions without reducing editing efficiency. Further optimization with an inserted DNA-binding domain (DBD) between Cas9 and exonuclease yielded MND-Cas9v2, which simultaneously enhanced efficiency and deletion size. To expand PAM compatibility, we introduced PAM-relaxed Cas9-NG and SpG variants, generating MND-Cas9-NG/SpGv2 systems with broader targeting scope and superior performance compared to their parental nucleases. Finally, we demonstrated the utility of these systems in two applications: MND-Cas9v2 efficiently knocked out the miRNA gene OsMIR530, producing larger seeds, and generated extended deletions in the 3'UTR of OsGhd2, which upregulated its expression and increased grain size. These results demonstrate that MND-Cas9 systems enable high-efficiency generation of extended deletions and facilitate functional analyses of non-coding RNAs and regulatory sequences. Overall, this work establishes a versatile and expandable exonuclease-Cas9 platform that substantially broadens the mutational spectrum and application potential of CRISPR-Cas9 for plant genome engineering.

CRISPR-Cas Systems↗

Genome-wide identification of human functional DNA using a neutral indel model.

It has become clear that a large proportion of functional DNA in the human genome does not code for protein. Identification of this non-coding functional sequence using comparative approaches is proving difficult and has previously been thought to require deep sequencing of multiple vertebrates. Here we introduce a new model and comparative method that, instead of nucleotide substitutions, uses the evolutionary imprint of insertions and deletions (indels) to infer the past consequences of selection. The model predicts the distribution of indels under neutrality, and shows an excellent fit to human-mouse ancestral repeat data. Across the genome, many unusually long ungapped regions are detected that are unaccounted for by the neutral model, and which we predict to be highly enriched in functional DNA that has been subject to purifying selection with respect to indels. We use the model to determine the proportion under indel-purifying selection to be between 2.56% and 3.25% of human euchromatin. Since annotated protein-coding genes comprise only 1.2% of euchromatin, these results lend further weight to the proposition that more than half the functional complement of the human genome is non-protein-coding. The method is surprisingly powerful at identifying selected sequence using only two or three mammalian genomes. Applying the method to the human, mouse, and dog genomes, we identify 90 Mb of human sequence under indel-purifying selection, at a predicted 10% false-discovery rate and 75% sensitivity. As expected, most of the identified sequence represents unannotated material, while the recovered proportions of known protein-coding and microRNA genes closely match the predicted sensitivity of the method. The method's high sensitivity to functional sequence such as microRNAs suggest that as yet unannotated microRNA genes are enriched among the sequences identified. Furthermore, its independence of substitutions allowed us to identify sequence that has been subject to heterogeneous selection, that is, sequence subject to both positive selection with respect to substitutions and purifying selection with respect to indels. The ability to identify elements under heterogeneous selection enables, for the first time, the genome-wide investigation of positive selection on functional elements other than protein-coding genes.

Animals↗

Incorporating indel channels into average-case analysis of seed-chain-extend.

MOTIVATION: Given a sequence s1 of n letters drawn independently and identically (i.i.d.) from an alphabet of size &#x3c3; and a mutated substring s2 of length m<n, we want to recover the mutation history that generated s2 from s1. Many modern sequence aligners for this task use seed-chain-extend with k-mer seeds. Previously, Shaw and Yu showed linear-gap cost chaining can produce a chain with 1-O(1m) recoverability, the proportion of the mutation history that is recovered, in O(mn2.43&#x3b8;&#x2009;log&#x2009;n) expected time for seed-chain-extend (assuming pre-seeded reference), where &#x3b8;<0.206 is the mutation rate under a substitution-only channel and s1 is uniformly random. A gap remains between theory and practice, as real genomes include insertions and deletions (indels). RESULTS: We introduce mathematical machinery to deal with the two new obstacles introduced by indel channels: the dependence of neighbouring anchors and the presence of anchors that are only partially correct. We prove that expected recoverability of an optimal chain is &#x2265;1-O(1m) and expected runtime is O(mn3.15&#xb7;&#x3b8;T&#x2009;log&#x2009;n), given the total mutation rate &#x3b8;T=&#x3b8;i+&#x3b8;d+&#x3b8;s (sum of substitution, insertion, and deletion rates) is &#x3b8;T&#x2264;0.159. We thus narrow (but not close) the gap between theory and practice. AVAILABILITY AND IMPLEMENTATION: https://github.com/Lazarus42/seed_chainer_indels.

INDEL Mutation↗

Is the rate of insertion and deletion mutation male biased?: Molecular evolutionary analysis of avian and primate sex chromosome sequences.

The rate of mutation for nucleotide substitution is generally higher among males than among females, likely owing to the larger number of DNA replications in spermatogenesis than in oogenesis. For insertion and deletion (indel) mutations, data from a few human genetic disease loci indicate that the two sexes may mutate at similar rates, possibly because such mutations arise in connection with meiotic crossing over. To address origin- and sex-specific rates of indel mutation we have conducted the first large-scale molecular evolutionary analysis of indels in noncoding DNA sequences from sex chromosomes. The rates are similar on the X and Y chromosomes of primates but about twice as high on the avian Z chromosome as on the W chromosome. The fact that indels are not uncommon on the nonrecombining Y and W chromosomes excludes meiotic crossing over as the main cause of indel mutation. On the other hand, the similar rates on X and Y indicate that the number of DNA replications (higher for Y than for X) is also not the main factor. Our observations are therefore consistent with a role of both DNA replication and recombination in the generation of short insertion and deletion mutations. A significant excess of deletion compared to insertion events is observed on the avian W chromosome, consistent with gradual DNA loss on a nonrecombining chromosome.

Animals↗

Indel seeds for homology search.

We are interested in detecting homologous genomic DNA sequences with the goal of locating approximate inverted, interspersed, and tandem repeats. Standard search techniques start by detecting small matching parts, called seeds, between a query sequence and database sequences. Contiguous seed models have existed for many years. Recently, spaced seeds were shown to be more sensitive than contiguous seeds without increasing the random hit rate. To determine the superiority of one seed model over another, a model of homologous sequence alignment must be chosen. Previous studies evaluating spaced and contiguous seeds have assumed that matches and mismatches occur within these alignments, but not insertions and deletions (indels). This is perhaps appropriate when searching for protein coding sequences (<5% of the human genome), but is inappropriate when looking for repeats in the majority of genomic sequence where indels are common. In this paper, we assume a model of homologous sequence alignment which includes indels and we describe a new seed model, called indel seeds, which explicitly allows indels. We present a waiting time formula for computing the sensitivity of an indel seed and show that indel seeds significantly outperform contiguous and spaced seeds when homologies include indels. We discuss the practical aspect of using indel seeds and finally we present results from a search for inverted repeats in the dog genome using both indel and spaced seeds.

Algorithms↗

Dual-dimensional profiling of host genomic variations and HPV integration in PD-L1-stratified cervical cancer via Oxford Nanopore Technology.

BACKGROUND: The integration of human papillomavirus (HPV) DNA into the host genome is a key step in the development of HPV-associated cervical cancer (CC). However, the genomic characteristics of host genomic variations and HPV integration within the context of programmed death-ligand 1 (PD-L1) expression stratification have not been systematically investigated. METHODS: Whole-genome sequencing was performed using Oxford Nanopore Technology (ONT) on six samples (three from the high PD-L1 expression group and three from the low PD-L1 expression group). The characteristics of host genomic variations under different PD-L1 expression stratifications were explored, including structural variations (SV), copy number variations (CNV), single nucleotide polymorphisms (SNP), and insertion-deletions (Indel). Subsequently, the distribution features of HPV integration sites were analyzed, different integration types were identified, and pathway analysis was conducted. RESULTS: Whole-genome SV analysis revealed that the total number of SVs and the composition of mutation types were similar between the high and low PD-L1 expression groups, with insertions (INS) and deletions (DEL) predominating in both. These variations were primarily enriched in intergenic regions and introns. In the low PD-L1 expression group, integration events were observed at multiple chromosomal loci, with the most frequent integration occurring in the KLF5 gene region on chromosome 13. No frequently integrated loci were identified in the high PD-L1 expression group. Additionally, four distinct HPV integration breakpoint patterns were preliminarily identified and analyzed. CONCLUSION: PD-L1 expression stratification did not significantly alter the overall genomic instability of the host. However, differences were observed in the distribution patterns of HPV integration sites. These findings provide new insights into the genomic heterogeneity of CC under different PD-L1 expression backgrounds and may lay the groundwork for future research exploring stratified immunotherapy based on HPV integration features.

Humans↗

Patterns and relative rates of nucleotide and insertion/deletion evolution at six chloroplast intergenic regions in new world species of the Lecythidaceae.

Insertions and deletions (indels) in chloroplast noncoding regions are common genetic markers to estimate population structure and gene flow, although relatively little is known about indel evolution among recently diverged lineages such as within plant families. Because indel events tend to occur nonrandomly along DNA sequences, recurrent mutations may generate homoplasy for indel haplotypes. This is a potential problem for population studies, because indel haplotypes may be shared among populations after recurrent mutation as well as gene flow. Furthermore, indel haplotypes may differ in fitness and therefore be subject to natural selection detectable as rate heterogeneity among lineages. Such selection could contribute to the spatial patterning of cpDNA haplotypes, greatly complicating the interpretation of cpDNA population structure. This study examined both nucleotide and indel cpDNA variation and divergence at six noncoding regions (psbB-psbH, atpB-rbcL, trnL-trnH, rpl20-5'rps12, trnS-trnG, and trnH-psbA) in 16 individuals from eight species in the Lecythidaceae and a Sapotaceae outgroup. We described patterns of cpDNA changes, assessed the level of indel homoplasy, and tested for rate heterogeneity among lineages and regions. Although regression analysis of branch lengths suggested some degree of indel homoplasy among the most divergent lineages, there was little evidence for indel homoplasy within the Lecythidaceae. Likelihood ratio tests applied to the entire phylogenetic tree revealed a consistent pattern rejecting a molecular clock. Tajima's 1D and 2D tests revealed two taxa with consistent rate heterogeneity, one showing relatively more and one relatively fewer changes than other taxa. In general, nucleotide changes showed more evidence of rate heterogeneity than did indel changes. The rate of evolution was highly variable among the six cpDNA regions examined, with the trnS-trnG and trnH-psbA regions showing as much as 10% and 15% divergence within the Lecythidaceae. Deviations from rate homogeneity in the two taxa were constant across cpDNA regions, consistent with lineage-specific rates of evolution rather than cpDNA region-specific natural selection. There is no evidence that indels are more likely than nucleotide changes to experience homoplasy within the Lecythidaceae. These results support a neutral interpretation of cpDNA indel and nucleotide variation in population studies within species such as Corythophora alta.

Base Sequence↗

Insertions and deletions are male biased too: a whole-genome analysis in rodents.

It is presently accepted that, in mammals, due to the greater number of cell divisions in the male germline than in the female germline, nucleotide substitutions occur more frequently in males. The data on mutation bias in insertions and deletions (indels) are contradictory, with some studies indicating no sex bias and others indicating either female or male bias. The sequenced rat and mouse genomes provide a unique opportunity to investigate a potential sex bias for different types of mutations. Indeed, mutation rates can be accurately estimated from a large number of orthologous loci in organisms similar in generation time and in the number of germline cell divisions. Here we compare the mutation rates between chromosome X and autosomes for likely neutral sites in eutherian ancestral interspersed repetitive elements present at orthologous locations in the rat and mouse genomes. We find that small indels are male biased: The male-to-female mutation rate ratio (alpha) for indels in rodents is approximately 2. Similarly, our whole-genome analysis in rodents indicates an approximately twofold excess of nucleotide substitutions originating in males over that in females. This is the same as the male-to-female ratio of the number of germline cell divisions in rat and mouse. Thus, this is consistent with nucleotide substitutions and small indels occurring primarily during DNA replication.

Animals↗

Automating resequencing-based detection of insertion-deletion polymorphisms.

Structural and insertion-deletion (indel) variants have received considerable recent attention, partly because of their phenotypic consequences. Among these variants, the most common are small indels ( approximately 1-30 bp). Identifying and genotyping indels using sequence traces obtained from diploid samples requires extensive manual review, which makes large-scale studies inconvenient. We report a new algorithm, implemented in available software (PolyPhred version 6.0), to help automate detection and genotyping of indels from sequence traces. The algorithm identifies heterozygous individuals, which permits the discovery of low-frequency indels. It finds 80% of all indel polymorphisms with almost no false positives and finds 97% with a false discovery rate of 10%. Additionally, genotyping accuracy exceeds 99%, and it correctly infers indel length in 96% of the cases. Using this approach, we identify indels in the HapMap ENCODE regions, providing the first report of these polymorphisms in this data set.

Algorithms↗

Human-specific insertions and deletions inferred from mammalian genome sequences.

It has been suggested that insertions and deletions (indels) have contributed to the sequence divergence between the human and chimpanzee genomes more than do nucleotide changes (3% vs. 1.2%). However, although there have been studies of large indels between the two genomes, no systematic analysis of small indels (i.e., indels </= 100 bp) has been published. In this study, we first estimated that the false-positive rate of small indels inferred from human-chimpanzee pairwise sequence alignments is quite high, suggesting that the chimpanzee genome draft is not sufficiently accurate for our purpose. We have therefore inferred only human-specific indels using multiple sequence alignments of mammalian genomes. We identified >840,000 "small" indels, which affect >7000 UCSC-annotated human genes (>11,000 transcripts). These indels, however, amount to only approximately 0.21% sequence change in the human lineage for the regions compared, whereas in pseudogenes indels contribute to a sequence divergence of 1.40%, suggesting that most of the indels that occurred in genic regions have been eliminated. Functional analysis reveals that the genes whose coding exons have been affected by human-specific indels are enriched in transcription and translation regulatory activities but are underrepresented in catalytic and transporter activities, cellular and physiological processes, and extracellular region/matrix. This functional bias suggests that human-specific indels might have contributed to human unique traits by causing changes at the RNA and protein level.

Animals↗

Empirical and structural models for insertions and deletions in the divergent evolution of proteins.

The exhaustive matching of the protein sequence database makes possible a broadly based study of insertions and deletions (indels) during divergent evolution. In this study, the probability of a gap in an alignment of a pair of homologous protein sequences was found to increase with the evolutionary distance measured in PAM units (number of accepted point mutations per 100 amino acid residues). A relationship between the average number of amino acid residues between indels and evolutionary distance suggests that a unit 30 to 40 amino acid residues in length remains, on average, undisrupted by indels during divergent evolution. Further, the probability of a gap was found to be inversely proportional to gap length raised to the 1.7 power. This empirical law fits closely over the entire range of gap lengths examined. Gap length distribution is largely independent of evolutionary distance. These results rule out the widely used linear gap penalty as a satisfactory formula for scoring gaps when constructing alignments. Further, the observed gap length distribution can be explained by a simple model of selective pressures governing the acceptance of indels during divergent evolution. Finally, this model provides theoretical support for using indels as part of "parsing algorithms", important in the de novo prediction of the folded structure of proteins from the sequence data.

Amino Acid Sequence↗

Insertion-deletion polymorphisms in 3' regions of maize genes occur frequently and can be used as highly informative genetic markers.

Single-nucleotide polymorphisms (SNPs) are the most frequent variations in the genome of any organism. SNP discovery approaches such as resequencing or data mining enable the identification of insertion deletion (indel) polymorphisms. These indels can be treated as biallelic markers and can be utilized for genetic mapping and diagnostics. In this study 655 indels have been identified by resequencing 502 maize (Zea mays) loci across 8 maize inbreds (selected for their high allelic variation). Of these 502 loci, 433 were polymorphic, with indels identified in 215 loci. Of the 655 indels identified, single-nucleotide indels accounted for more than half (54.8%) followed by two- and three-nucleotide indels. A high frequency of 6-base (3.4%) and 8-base (2.3%) indels were also observed. When analysis is restricted to the B73 and Mol7 genotypes, 53% of the loci analyzed contained indels, with 42% having an amplicon size difference. Three novel miniature inverted-repeat transposable element (MITE)-like sequences were identified as insertions near genes. The utility of indels as genetic markers was demonstrated by using indel polymorphisms to map 22 loci in a B73 x Mo17 recombinant inbred population. This paper clearly demonstrates that the resequencing of 3' EST sequence and the discovery and mapping of indel markers will position corresponding expressed genes on the genetic map.

Chromosome Mapping↗