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The shape of fitness functions and the distribution of mutational effect sizes jointly limit adaptation by regulatory mutations.

Mutations in gene regulatory regions have been shown to play a role in rapid adaptation, but the factors determining their contribution are largely unknown. Here, using the metabolic enzyme cytosine deaminase of budding yeast, we examine whether adaptation to 5-fluorocytosine, which requires reduced cytosine deamination and can readily arise from amino acid substitutions, may be reached by single promoter mutations. We generated all single-nucleotide substitutions and indels in the FCY1 promoter and assayed the resulting mutants in presence of 5-fluorocytosine. This revealed that no promoter mutation is sufficient for adaptation to occur. We next investigated how this inaccessibility of adaptation arises by combining large-scale expression measurements with the experimental characterization of the corresponding expression-fitness function. These experiments showed that the shape of this function precludes single promoter mutations from being adaptive. Although 24% of mutations significantly affect expression, the fitness curve is flat around wild-type level. As such, adaptation can only emerge from a severe reduction of expression, which cannot occur from a single mutation in the promoter. Our results show that the contribution of regulatory mutations to rapid adaptation depends not only on the distribution of mutational effect sizes on expression level but also on the shape of the function linking fitness to expression levels.

Promoter Regions, Genetic↗

Analysis of the genome-wide variations among multiple strains of the plant pathogenic bacterium Xylella fastidiosa.

BACKGROUND: The Gram-negative, xylem-limited phytopathogenic bacterium Xylella fastidiosa is responsible for causing economically important diseases in grapevine, citrus and many other plant species. Despite its economic impact, relatively little is known about the genomic variations among strains isolated from different hosts and their influence on the population genetics of this pathogen. With the availability of genome sequence information for four strains, it is now possible to perform genome-wide analyses to identify and categorize such DNA variations and to understand their influence on strain functional divergence. RESULTS: There are 1,579 genes and 194 non-coding homologous sequences present in the genomes of all four strains, representing a 76. 2% conservation of the sequenced genome. About 60% of the X. fastidiosa unique sequences exist as tandem gene clusters of 6 or more genes. Multiple alignments identified 12,754 SNPs and 14,449 INDELs in the 1528 common genes and 20,779 SNPs and 10,075 INDELs in the 194 non-coding sequences. The average SNP frequency was 1.08 x 10(-2) per base pair of DNA and the average INDEL frequency was 2.06 x 10(-2) per base pair of DNA. On an average, 60.33% of the SNPs were synonymous type while 39.67% were non-synonymous type. The mutation frequency, primarily in the form of external INDELs was the main type of sequence variation. The relative similarity between the strains was discussed according to the INDEL and SNP differences. The number of genes unique to each strain were 60 (9a5c), 54 (Dixon), 83 (Ann1) and 9 (Temecula-1). A sub-set of the strain specific genes showed significant differences in terms of their codon usage and GC composition from the native genes suggesting their xenologous origin. Tandem repeat analysis of the genomic sequences of the four strains identified associations of repeat sequences with hypothetical and phage related functions. CONCLUSION: INDELs and strain specific genes have been identified as the main source of variations among strains, with individual strains showing different rates of genome evolution. Based on these genome comparisons, it appears that the Pierce's disease strain Temecula-1 genome represents the ancestral genome of the X. fastidiosa. Results of this analysis are publicly available in the form of a web database.

Analysis of Variance↗

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↗

Evolution of microsatellite alleles in four species of mice (genus Apodemus).

Microsatellite length variation was investigated at a highly variable microsatellite locus in four species of Apodemus. Information obtained from microsatellite allele sequences was contrasted with allele sizes, which included 18 electromorphs. Additional analysis of a 400-bp unique sequence in the flanking region identified 26 different haplotype sequences or "true" alleles in the sample. Three molecular mechanisms, namely, (1) addition/deletion of repeats, (2) substitutions and indels in the flanking region, and (3) mutations interrupting the repeat, contributed to the generation of allelic variation. Size homoplasy can be inferred for alleles within populations, from different populations of the same species, and from different species. We propose that microsatellite flanking sequences may be informative markers for investigating mutation processes in microsatellite repeats as well as phylogenetic relationships among alleles, populations, and species.

Alleles↗

Two distinct modes of microsatellite mutation processes: evidence from the complete genomic sequences of nine species.

We surveyed microsatellite distribution in 10 completely sequenced genomes. Using a permutation-based statistic, we assessed for all 10 genomes whether the microsatellite distribution significantly differed from expectations. Consistent with previous reports, we observed a highly significant excess of long microsatellites. Focusing on short microsatellites containing only a few repeat units, we demonstrate that this repeat class is significantly underrepresented in most genomes. This pattern was observed across different repeat types. Computer simulations indicated that neither base substitutions nor a combination of length-dependent slippage and base substitutions could explain the observed pattern of microsatellite distribution. When we introduced one additional mutation process, a length-independent slippage (indel slippage) operating at repeats with few repetitions, our computer simulations captured the observed pattern of microsatellite distribution.

Animals↗

Intron length evolution in Drosophila.

I present data on the evolution of intron lengths among 3 closely related Drosophila species, D. melanogaster, Drosophila simulans, and Drosophila yakuba. Using D. yakuba as an outgroup, I mapped insertion and deletion mutations in 148 introns (spanning approximately 30 kb) to the D. melanogaster and D. simulans lineages. Intron length evolution in the 2 sister species has been different: in D. melanogaster, X-linked introns have increased slightly in size, whereas autosomal ones have decreased slightly in size; in D. simulans, both X-linked and autosomal introns have decreased in size. To understand the possible evolutionary causes of these lineage- and chromosome-specific patterns of intron evolution, I studied insertion-deletion (indel) polymorphism and divergence in D. melanogaster. Small insertion mutations segregate at elevated frequencies and enjoy elevated probabilities of fixation, particularly on the X chromosome. In contrast, there is no detectable X chromosome effect on fixations in D. simulans. These findings suggest X chromosome-specific selection or biased gene conversion-gap repair favoring insertions in D. melanogaster but not in D. simulans. These chromosome- and lineage-specific patterns of indel substitution are not easily explained by existing general population genetic models of intron length evolution. Genomic data from D. melanogaster further suggest that the forces described here affect introns and intergenic regions similarly.

Animals↗

Genome-wide patterns of nucleotide substitution reveal stringent functional constraints on the protein sequences of thermophiles.

To test the hypothesis that the proteins of thermophilic prokaryotes are subject to unusually stringent functional constraints, we estimated the numbers of synonymous and nonsynonymous nucleotide substitutions per site between 17,957 pairs of orthologous genes from 22 pairs of closely related species of Archaea and Bacteria. The average ratio of nonsynonymous to synonymous substitutions was significantly lower in thermophiles than in nonthermophiles, and this effect was observed in both Archaea and Bacteria. There was no evidence that this difference could be explained by factors such as nucleotide content bias. Rather, the results support the hypothesis that proteins of thermophiles are subject to unusually strong purifying selection, leading to a reduced overall level of amino acid evolution per mutational event. The results show that genome-wide patterns of sequence evolution can be influenced by natural selection exerted by a species' environment and shed light on a previous observation that relatively few of the mutations arising in a thermophilic archaeon were nucleotide substitutions in contrast to indels.

Adaptation, Biological↗

Sequence alignment with tandem duplication.

Algorithm development for comparing and aligning biological sequences has, until recently, been based on the SI model of mutational events which assumes that modification of sequences proceeds through any of the operations of substitution, insertion or deletion (the latter two collectively termed indels). While this model has worked fairly well, it has long been apparent that other mutational events occur. In this paper, we introduce a new model, the DSI model which includes another common mutational event, tandem duplication. Tandem duplication produces tandem repeats which are common in DNA, making up perhaps 10% of the human genome. They are responsible for some human diseases and may serve a multitude of functions in DNA regulation and evolution. Using the DSI model, we develop new exact and heuristic algorithms for comparing and aligning DNA sequences when they contain tandem repeats.

Algorithms↗

Complex gene rearrangements caused by serial replication slippage.

The now-classical model of replication slippage can in principle account for both simple deletions and tandem duplications associated with short direct repeats. Invariably, a single replication slippage event is invoked, irrespective of whether simple deletions or tandem duplications are involved. However, we recently identified three complex duplicational insertions that could also be accounted for by a model of serial replication slippage. We postulate that a sizeable proportion of hitherto inexplicable complex gene rearrangements may be explained by such a model. To test this idea, and to assess the generality of our initial findings, a number of complex gene rearrangements were selected from the Human Gene Mutation Database (HGMD). Some 95% (20/21) of these mutations were found to be explicable by twin or multiple rounds of replication slippage, the sole exception being a double deletion in the F9 gene that is associated with DNA sequences that appear capable of adopting non-B conformations. Of the 20 complex gene rearrangements, 19 (seven simple double deletions, one triple deletion, two double mutational events comprising a simple deletion and a simple insertion, six simple indels that may constitute a novel and non-canonical class of gene conversion, and three complex indels) were compatible with the model of serial replication slippage in cis; the remaining indel in the MECP2 gene, however, appears to have arisen via interchromosomal replication slippage in trans. Our postulate that serial replication slippage may account for a variety of complex gene rearrangements has therefore received broad support from the study of the above diverse series of mutations.

Base Sequence↗

Reconstructing the duplication history of a tandem repeat.

One of the less well understood mutational transformations that act upon DNA is tandem duplication. In this process, a stretch of DNA is duplicated to produce two or more adjacent copies, resulting in a tandem repeat. Over time, the copies undergo additional mutations so that typically, multiple approximate tandem copies are present. An interesting feature of tandem repeats is that the duplicated copies are preserved together, making it possible to do "phylogenetic analysis" on a single sequence. This involves using the pattern of mutations among the copies to determine a minimal or a most likely history for the repeat. A history tries to describe the interwoven pattern of substitutions, indels, and duplication events in such a way as to minimize the number of identical mutations that arise independently. Because the copies are adjacent and ordered, the history problem can not be solved by standard phylogeny algorithms. In this paper, we introduce several versions of the tandem repeat history problem, develop algorithmic solutions and evaluate their performance. We also develop ways to visualize important features of a history with the goal of discovering properties of the duplication mechanism.

Algorithms↗

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↗

Comparisons Between Large-Scale Genomic Variants and SNPs in Driving Population Divergence and Local Adaptation.

Genomic variations, such as indels (2-49 bp) and structural variants (SVs, &#x2265;50 bp), are larger-scale mutations than single nucleotide polymorphisms (SNPs) and can substantially impact evolutionary processes, including speciation, adaptation, and phenotypes. Despite their functional importance, integrative population genetic analyses that jointly consider genome-wide SNPs, indels, and SVs remain under-explored. The ground tit (Pseudopodoces humilis), an endemic species to the Qinghai-Tibet Plateau (QTP), exhibits divergence across distinct glacial refugia, accompanied by habitat and morphological divergence, making it an excellent example for investigating how different types of genomic variants contribute to population divergence and local adaptation. Here, by retrieving 81 whole-genome sequence data, over 13 million SNPs, 2 million indels, and 22,101 SVs were identified. Variants were unevenly distributed across the genome, characterized by distinct hotspot regions. Indels and SVs revealed four genetic clusters consistent with previous SNP-based results, thereby validating the reliability of our variant datasets. FST and genotype-environment association (GEA) analyses independently revealed numerous candidate indels and SVs; each showed minimal overlap with previously identified SNPs, and were enriched in similar functional pathways such as signal transduction, skeletal muscle development, water transport, DNA repair, reproduction, nervous system development, and immunity. Collectively, our results demonstrated that indels and SVs could capture additional signatures besides SNPs. Furthermore, similar but distinct gene functions among different types of genomic variants collectively and complementarily drive genomic divergence across environmental gradients in such a high-elevation endemic species, underscoring its evolutionary relevance in local adaptation.

indels↗

Incorporating information from length-mutational events into phylogenetic analysis.

With the growing number of phylogenetic studies that use length variable DNA sequences, incorporating information from length-mutational events into phylogenetic analysis is becoming increasingly important. A new method, modified complex indel coding is described that aims at maximizing the phylogenetic information retained from unambiguously aligned sequence regions or regions where the principal relative position of gaps to one another can be safely established. An algorithm is described that allows application of the method to all theoretically possible gap-nucleotide patterns. A platform-independent computer program is introduced that automates the new method as well as several previously published coding schemes. Differences to previously published indel coding approaches as well as to the integration of ambiguously aligned regions into phylogenetic analysis are discussed.

Models, Theoretical↗

Development of CAPS markers based on three key genes of the phenylpropanoid pathway in tea, Camellia sinensis (L.) O. Kuntze, and differentiation between assamica and sinensis varieties.

The genetic diversity of tea, Camellia sinensis (L.) O. Kuntze, including the two main cultivated sinensis and assamica varieties, was investigated based on PCR-RFLP analysis of PAL, CHS2 and DFR, three key genes involved in catechin and tannin synthesis and directly responsible for tea taste and quality. Polymorphisms were of two types: amplicon length polymorphism (ALP) due to the presence of indels in two introns of PAL and DFR, and point mutations detected after restriction of amplified fragments with appropriate enzymes. A progeny test showed that all markers segregated in a Mendelian fashion and that polymorphisms were exclusively co-dominant. CHS2, which belongs to a multi-gene family, allowed for greater variation than the single-copy PAL gene. Based on Nei's gene diversity index, var. sinensis was revealed to be more variable than var. assamica, and that a higher proportion of overall diversity resided within varieties as compared to between varieties. Even though no specific DNA profile was found for either tea varieties following any single PCR-RFLP analysis, a factorial correspondence analysis carried out on all genotypes and markers separated the tea samples into two distinct groups according to their varietal status. This reflects the large difference between var. sinensis and var. assamica in their polyphenolic profiles. The STS-based markers developed in this study will be very useful in future mapping, population genetics and fingerprinting studies of this important crop species and other Camellia species, as the primers have also proven successful in the three other subgenera of this genus.

Acyltransferases↗

Development of allele-specific PCR and RT-PCR assays for clustered resistance genes using a potato late blight resistance transgene as a model.

Members of the NBS-LRR gene family impart resistance to a wide variety of pathogens and are often found clustered within a plant genome. This clustering of homologous sequences can complicate PCR-based characterizations, especially the study of transgenes. We have developed allele-specific PCR and RT-PCR assays for the potato late blight resistance gene RB. Our assay utilizes two approaches toward primer design, allowing discrimination between the RB transgene and both the endogenous RB gene and numerous RB homeologs. First, a reverse primer was designed to take advantage of an indel present in the RB transgene but absent in rb susceptibility alleles, enhancing specificity for the transgene, though not fully discriminating against RB homeologs. Second, a forward primer was designed according to the principles of mismatch amplification mutation assay (MAMA) PCR, targeting SNPs introduced during the cloning of RB. Together, the indel reverse primer and the MAMA forward primer provide an assay that is highly specific for the RB transgene, being capable of distinguishing the transgene from all RB endogenous gene copies and from all RB paralogs in a diverse collection of wild and cultivated potato genotypes. These primers have been successfully multiplexed with primers of an internal control. The multiplexed assay is useful for both PCR and RT-PCR applications. Double MAMA-PCR, in which both PCR primers target separate transgene-specific SNPs, was also tested and shown to be equally specific for the RB transgene. We propose extending the use of MAMA for the characterization of resistance transgenes.

Alleles↗

Context of deletions and insertions in human coding sequences.

We studied the dependence of the rate of short deletions and insertions on their contexts using the data on mutations within coding exons at 19 human loci that cause mendelian diseases. We confirm that periodic sequences consisting of three to five or more nucleotides are mutagenic. Mutability of sequences with strongly biased nucleotide composition is also elevated, even when mutations within homonucleotide runs longer than three nucleotides are ignored. In contrast, no elevated mutation rates have been detected for imperfect direct or inverted repeats. Among known candidate contexts, the indel context GTAAGT and regions with purine-pyrimidine imbalance between the two DNA strands are mutagenic in our sample, and many others are not mutagenic. Data on mutation hot spots suggest two novel contexts that increase the deletion rate. Comprehensive analysis of mutability of all possible contexts of lengths four, six, and eight indicates a substantially elevated deletion rate within YYYTG and similar sequences, which is one of the two contexts revealed by the hot spots. Possible contexts that increase the insertion rate (AT(A/C)(A/C)GCC and TACCRC) and decrease deletion (TATCGC) or insertion (GCGG) rates have also been identified. Two-thirds of deletions remove a repeat, and over 80% of insertions create a repeat, i.e., they are duplications.

Chromosome Deletion↗

Human Gene Mutation Database (HGMD): 2003 update.

The Human Gene Mutation Database (HGMD) constitutes a comprehensive core collection of data on germ-line mutations in nuclear genes underlying or associated with human inherited disease (www.hgmd.org). Data catalogued includes: single base-pair substitutions in coding, regulatory and splicing-relevant regions; micro-deletions and micro-insertions; indels; triplet repeat expansions as well as gross deletions; insertions; duplications; and complex rearrangements. Each mutation is entered into HGMD only once in order to avoid confusion between recurrent and identical-by-descent lesions. By March 2003, the database contained in excess of 39,415 different lesions detected in 1,516 different nuclear genes, with new entries currently accumulating at a rate exceeding 5,000 per annum. Since its inception, HGMD has been expanded to include cDNA reference sequences for more than 87% of listed genes, splice junction sequences, disease-associated and functional polymorphisms, as well as links to data present in publicly available online locus-specific mutation databases. Although HGMD has recently entered into a licensing agreement with Celera Genomics (Rockville, MD), mutation data will continue to be made freely available via the Internet.

Databases, Genetic↗

Prevalence of small rearrangements in the factor VIII gene F8C among patients with severe hemophilia A.

Hemophilia A is a common X-linked bleeding disorder caused by various types of mutations in the factor VIII gene F8C. The most common intron 22-inversion is responsible for about 40% of the severe hemophilia A cases while large deletions, point mutations and small (less than 100 bp) deletions or insertions are responsible for the disease in the rest of patients. We report on nine novel (6 deletions, two indels and one partial duplication) and five recurrent small rearrangements identified in 15 German patients with severe hemophilia A, negative for the intron 22-inversion. c.2208-2214delTTATTAC/c.2207-2215insCTCTT and c.4665-4678del/c.4664-4678insAAGGAA identified in the present study are the first small indels described in the factor VIII gene. Our analyses suggest that the prevalence of this type of mutations (predominantly located in exon 14) among patients with severe phenotype and negative for the common intron 22-inversion, is about 30%. The correlation between these molecular defects and formation of factor VIII inhibitors as well as the parental origin of the de novo mutations are evaluated. Finally we show that denaturing HPLC (DHPLC) and classic heteroduplex analysis (HA) are able to detect these sequence alterations on 100% and could be preferred as a screening approach when analysing for mutations in factor VIII in severely affected patients.

Base Sequence↗