Superfluous Transgene Integration in Plants

Referee: Dr. Paul Hooykass, Institut of Molecular Plant Sciences, Leiden University, Clusius Laboratory, Wassenaarseweg 64, 2333, Al Leiden, Netherlands Recent reports suggest the transfer of superfluous DNA sequences to plant genomes during transformation processes. This review investigates the evidence from the published literature for the prevalence of this phenomenon and highlights methods to limit or prevent DNA transfer and subsequent potentially detrimental evolutionary consequences. Evidence for superfluous foreign DNA transfer using both Agrobacterium-mediated transformation and direct DNA transfer methods such as microprojectile bombardment and PEG-mediated transformation of protoplasts is reported. In the case of Agrobacterium-mediated transformation, the lack of information on the integration of sequences from outside of the T-DNA borders has been due to the general belief by researchers that T-DNA processing is precise. This assumption was based on analysis of T-DNA in tumors and as a result the majority of T-DNA integration events have been identified exclusively using DNA probes, which are homologous only to DNA from within the T-DNA borders. Where direct gene transfer protocols are employed, any part of the transforming plasmid and indeed accompanying carrier DNA may become integrated into the plant genome. The main body of evidence proving that superfluous vector DNA sequences are present in plant genomes transformed using direct transfer methods is confined to the identification of plasmid concatamers integrated into plant genomes. The limited amount of recorded evidence pertaining to superfluous vector DNA integration in transgenic plants and transformed tissues makes it impossible to draw definitive conclusions as to the factors involved in promoting this phenomenon. However, there are methods available for removing superfluous sequences from transgenic plants. These have been developed for the removal of selectable marker genes, whose presence in transgenic plants has been a source of much controversy, but can equally be applied to other DNA sequences. Suggestions have been made in the review that might limit or prevent the integration of superfluous vector sequences during transformation procedures; however, these are not proven and further research is required.     

In silico analysis of the restriction fragments length distribution in the human genome.]

The Restriction On Computer (ROC) program (freely available at http://www.mcb.harvard.edu/gilbert/ROC) was developed and used to analyze the restriction fragment length distribution in the human genome. In contrast to other programs searching for restriction sites, ROC simultaneously analyzes several long nucleotide sequences, such as the entire genomes, and in essence simulates electrophoretic analysis of DNA restriction fragments. In addition, this program extracts and analyzes DNA repeats that account for peaks in the restriction fragment length distribution. The ROC analysis data are consistent with the experimental data obtained via in vitro restriction enzyme analysis (taxonomic printing). A difference between the in vitro and in silico results is explained by underrepresentation of tandem DNA repeats in genomic databases. The ROC analysis of individual genome fragments elucidated the nature of several DNA markers, which were earlier revealed by taxonomic printing, and showed that L1 and Alu repeats are nonrandomly distributed in various chromosomes. Another advantage is that the ROC procedure makes it possible to analyze the nonrandom character of a genomic distribution of short DNA sequences. The ROC analysis showed that a low poly(G) frequency is characteristic of the entire human genome, rather than of only coding sequences. The method was proposed for a more complex in silico analysis of the genome. For instance, it is possible to simulate DNA restriction together with blot hybridization and then to analyze the nature of markers revealed.     

In Silico Analysis of the Restriction Fragment Length Distribution in the Human Genome

The Restriction On Computer (ROC) program (freely available at http://www.mcb.harvard.edu/ gilbert/ROC) was developed and used to analyze the restriction fragment length distribution in the human genome. In contrast to other programs searching for restriction sites, ROC simultaneously analyzes several long nucleotide sequences, such as the entire genomes, and in essence simulates electrophoretic analysis of DNA restriction fragments. In addition, this program extracts and analyzes DNA repeats that account for peaks in the restriction fragment length distribution. The ROC analysis data are consistent with the experimental data obtained via in vitro restriction enzyme analysis (DNA taxonoprint). A difference between the in vitro and in silico results is explained by underrepresentation of tandem DNA repeats in genomic databases. The ROC analysis of individual genome fragments elucidated the nature of several DNA markers, which were earlier revealed by DNA taxonoprint, and showed that L1 and Alurepeats are nonrandomly distributed in various chromosomes. Another advantage is that the ROC procedure makes it possible to analyze the nonrandom character of a genomic distribution of short DNA sequences. The ROC analysis showed that a low poly(G) frequency is characteristic of the entire human genome, rather than of only coding sequences. The method was proposed for a more complex in silico analysis of the genome. For instance, it is possible to simulate DNA restriction together with blot hybridization and then to analyze the nature of markers revealed.     

'DNA Strider': a 'C' program for the fast analysis of DNA and protein sequences on the Apple Macintosh family of computers

DNA Strider is a new integrated DNA and Protein sequence analysis program written with the C language for the Macintosh Plus, SE and II computers. It has been designed as an easy to learn and use program as well as a fast and efficient tool for the day-to-day sequence analysis work. The program consists of a multi-window sequence editor and of various DNA and Protein analysis functions. The editor may use 4 different types of sequences (DNA, degenerate DNA, RNA and one-letter coded protein) and can handle simultaneously 6 sequences of any type up to 32.5 kB each. Negative numbering of the bases is allowed for DNA sequences. All classical restriction and translation analysis functions are present and can be performed in any order on any open sequence or part of a sequence. The main feature of the program is that the same analysis function can be repeated several times on different sequences, thus generating multiple windows on the screen. Many graphic capabilities have been incorporated such as graphic restriction map, hydrophobicity profile and the CAI plot- codon adaptation index according to Sharp and Li. The restriction sites search uses a newly designed fast hexamer look-ahead algorithm. Typical runtime for the search of all sites with a library of 130 restriction endonucleases is 1 second per 10,000 bases. The circular graphic restriction map of the pBR322 plasmid can be therefore computed from its sequence and displayed on the Macintosh Plus screen within 2 seconds and its multiline restriction map obtained in a scrolling window within 5 seconds.     

Identification of differentially methylated sites within unmethylated DNA domains in normal and cancer cells

Altered DNA methylation has been linked to neoplastic cell transformation and is a hallmark of cancer progression. Therefore, the screening for differentially methylated sequences as tumor biomarkers has a significant implication in the clinical setting. To determine the cancer-linked alterations in DNA methylation pattern, we have applied an endonuclease, McrBC, to the existing methylation-sensitive arbitrarily primed polymerase chain reaction (msAP-PCR) method and developed McrBC-msAP-PCR. This modified approach allows detection of differentially methylated sites within unmethylated DNA domains enriched by regulatory sequences and CpG islands. In this method, we used digestion of DNA with the McrBC methylation-sensitive endonuclease to selectively exclude the methylated fraction of DNA, which comprises interspersed and tandem-repeated sequences and exons other than first exons, from analysis. The subsequent digestion of unmethylated DNA fragments with SmaI and HpaII methylation-sensitive restriction endonucleases followed by AP-PCR amplification resulted in the detection of unknown unique sequences associated with cancer-linked methylation changes in genomic DNA. Hypermethylation and hypomethylation are visualized by the increase or decrease in the band intensity of DNA fingerprints. By using this technique, we were able to differentiate clearly, identify, and characterize a number of novel unique DNA sequences with differentially methylated sites in normal and breast cancer cell lines and in normal and rat tumor liver tissues.     

Isolation and characterization of efficient plasmid transformation mutants of Mycobacterium smegmatis

Recent development of vectors and methodologies to introduce recombinant DNA into members of the genus Mycobacterium has provided new approaches for investigating these important bacteria. While most pathogenic mycobacteria are slow-growing, Mycobacterium smegmatis is a fast-growing, non-pathogenic species that has been used for many years as a host for mycobacteriophage propagation and, recently, as a host for the introduction of recombinant DNA. Its use as a cloning host for the analysis of mycobacterial genes has been limited by its inability to be efficiently transformed with plasmid vectors. This work describes the isolation and characterization of mutants of M. smegmatis that can be transformed, using electroporation, at efficiencies 10(4) to 10(5) times greater than those of the parent strain, yielding more than 10(5) transformants per microgram of plasmid DNA. The mutations conferring this efficient plasmid transformation (Ept) phenotype do not affect phage transfection or the integration of DNA into the M. smegmatis chromosome, but seem to be specific for plasmid transformation. Such Ept mutants have been used to characterize plasmid DNA sequences essential for replication of the Mycobacterium fortuitum plasmid pAL5000 in mycobacteria by permitting the transformation of a library of hybrid plasmid constructs. Efficient plasmid transformation of M. smegmatis will facilitate the analysis of mycobacterial gene function, expression and replication and thus aid in the development of BCG as a multivalent recombinant vaccine vector and in the genetic analysis of the virulence determinants of pathogenic mycobacteria.     

Modification of DNA ends and detection of restriction enzyme recognition sequences in their ligated junctions

A program has been developed for the modelling of modificationsin DNA ends, for the construction of ligated junctions, andfor the analysis in these junctions of new restriction enzymerecognition sequences. This program allows the analysis of restrictionenzyme specifities in ligated junctions of cohesive or bluntDNA ends. Cohesive ends are considered in their natural configurationor after modification by possible blunt-ending procedures. Theprogram also allows the modelling of partial filling-in for5'-single-stranded ends. This program has proven useful forthe design of sequences with new restriction sites or to predictor confirm the sequence of junctions created by the ligationof modified ends. Received on October 28, 1987; accepted on November 23, 1987     

转基因水稻T—DNA侧翼序列的扩增与分析

利用现有的转抗白叶枯病基因Xa21的水稻材料,通过TAIL－PCR技术扩增出携带Xa21基因的T－DNA的侧翼序列,对24个有效扩增片段的序列分析结果表明,其中14个侧翼序列是水稻DNA,9个含载体主干序列,1个是外源基因Xa21片段,14个T－DNA侧翼的水稻DNA序列与直接转化法外源基因整合位点的基因组序列具有不同的特点,这些T－DNA在水稻染色体上整合后其两端序列的特点类似于在转基因双子叶植物中观察到的现象,在含主干序列的侧翼序列（37．5％,9／24）,中,载体主干序列是以不同的类型出现的。     

Comparative ab initio prediction of gene structures using pair HMMs

We present a novel comparative method for the ab initio prediction of protein coding genes in eukaryotic genomes. The method simultaneously predicts the gene structures of two un-annotated input DNA sequences which are homologous to each other and retrieves the subsequences which are conserved between the two DNA sequences. It is capable of predicting partial, complete and multiple genes and can align pairs of genes which differ by events of exon-fusion or exon-splitting. The method employs a probabilistic pair hidden Markov model. We generate annotations using our model with two different algorithms: the Viterbi algorithm in its linear memory implementation and a new heuristic algorithm, called the stepping stone, for which both memory and time requirements scale linearly with the sequence length. We have implemented the model in a computer program called DOUBLESCAN. In this article, we introduce the method and confirm the validity of the approach on a test set of 80 pairs of orthologous DNA sequences from mouse and human. More information can be found at: http://www.sanger.ac.uk/Software/analysis/doublescan/     

Direct and indirect gene replacements in Aspergillus nidulans.

We performed three sets of experiments to determine whether cloned DNA fragments can be substituted for homologous regions of the Aspergillus nidulans genome by DNA-mediated transformation. A linear DNA fragment containing a heteromorphic trpC+ allele was used to transform a trpC- strain to trpC+. Blot analysis of DNA from the transformants showed that the heteromorphic allele had replaced the trpC- allele in a minority of the strains. An A. nidulans trpC+ gene was inserted into the argB+ gene, and a linear DNA fragment containing the resultant null argB allele was used to transform a trpC- argB+ strain to trpC+. Approximately 30% of the transformants were simultaneously argB-. The null argB allele had replaced the wild-type allele in a majority of these strains. The A. nidulans SpoC1 C1-C gene was modified by removal of an internal restriction fragment and introduced into a trpC- strain by transformation with a circular plasmid. A transformant containing a tandem duplication of the C1-C region separated by plasmid DNA was self-fertilized, and trpC- progeny were selected. All of these had lost the introduced plasmid DNA sequences, whereas about half had retained the modified C1-C gene and lost the wild-type copy. Thus, it is possible with A. nidulans to replace chromosomal DNA sequences with DNA fragments that have been cloned and modified in vitro by using either one- or two-step procedures similar to those developed for Saccharomyces cerevisiae.     

Prediction of common folding structures of homologous RNAs.

We have developed an algorithm and a computer program for simultaneously folding homologous RNA sequences. Given an alignment of M homologous sequences of length N, the program performs phylogenetic comparative analysis and predicts a common secondary structure conserved in the sequences. When the structure is not uniquely determined, it infers multiple structures which appear most plausible. This method is superior to energy minimization methods in the sense that it is not sensitive to point mutation of a sequence. It is also superior to usual phylogenetic comparative methods in that it does not require manual scrutiny for covariation or secondary structures. The most plausible 1-5 structures are produced in O(MN2 + N3) time and O(N2) space, which are the same requirements as those of widely used dynamic programs based on energy minimization for folding a single sequence. This is the first algorithm probably practical both in terms of time and space for finding secondary structures of homologous RNA sequences. The algorithm has been implemented in C on a Sun SparcStation, and has been verified by testing on tRNAs, 5S rRNAs, 16S rRNAs, TAR RNAs of human immunodeficiency virus type 1 (HIV-1), and RRE RNAs of HIV-1. We have also applied the program to cis-acting packaging sequences of HIV-1, for which no generally accepted structures yet exist, and propose potentially stable structures. Simulation of the program with random sequences with the same base composition and the same degree of similarity as the above sequences shows that structures common to homologous sequences are very unlikely to occur by chance in random sequences.     

SEGMENT: identifying compositional domains in DNA sequences

MOTIVATION: DNA sequences are formed by patches or domains of different nucleotide composition. In a few simple sequences, domains can simply be identified by eye; however, most DNA sequences show a complex compositional heterogeneity (fractal structure), which cannot be properly detected by current methods. Recently, a computationally efficient segmentation method to analyse such nonstationary sequence structures, based on the Jensen-Shannon entropic divergence, has been described. Specific algorithms implementing this method are now needed. RESULTS: Here we describe a heuristic segmentation algorithm for DNA sequences, which was implemented on a Windows program (SEGMENT). The program divides a DNA sequence into compositionally homogeneous domains by iterating a local optimization procedure at a given statistical significance. Once a sequence is partitioned into domains, a global measure of sequence compositional complexity (SCC), accounting for both the sizes and compositional biases of all the domains in the sequence, is derived. SEGMENT computes SCC as a function of the significance level, which provides a multiscale view of sequence complexity.     

A high speed, high capacity homology matrix: zooming through SV40 and polyoma.

We present a new homology matrix program which owes its basic conception to the two-dimensional dot matrices previously described (1,2), but has important improvements and new features. It scores sequence homology over an adjustable range and plots the scores which are above an operator-determined filtration level. Its powerful noise-filtration system, capacity for compression without much loss of information, and speed of execution make this program a valuable tool in the analysis of homologies, internal direct repeats and reverse repeats, including palindromic sequences. The properties of the program are exemplified by analysis of SV40 and polyoma DNA sequences.     

Methylation blockage and other improvements to a comprehensive DNA analysis program.

A comprehensive DNA analysis computer program was described in the second special issue of Nucleic Acids Research on the applications of computers to research on nucleic acids by Stone and Potter (1). Criteria used in designing the program were user friendliness, ability to handle large DNA sequences, low storage requirement, migratability to other computers and comprehensive analysis capability. The program has been used extensively in an industrial-research environment. This paper talks about improvements to that program. These improvements include testing for methylation blockage of restriction enzyme recognition sites, homology analysis, RNA folding analysis, integration of a large DNA database (GenBank), a site specific mutagenesis analysis, a protein database and protein searching programs. The original design of the DNA analysis program using a command executive from which any analytical programs can be called, has proven to be extremely versatile in integrating both developed and outside programs to the file management system employed.     

A computer assisted method for the determination of restriction enzyme recognifion sites.

A computer program has been developed which aids in the determination of restriction enzyme recognition sequences. This is achieved by cleaving DNAs of known sequence with a restriction endonuclease and comparing the fragmentation pattern with a computer-generated set of patterns. The feasibility of this approach has been tested using fragmentation patterns of 0X174 DNA produced by enzymes of both known and unknown specificity. Recognition sequences are predicted for two restriction endonucleases (BbvI and SfaNI) using this method. In addition, recognition sequences are predicted for two other new enzymes (PvuI and MstI) using another computer-assisted method.     

Declining procollagen mRNA sequences in chick embryo fibroblasts infected with rous sarcoma virus. Correlation with procollagen synthesis.

Chick cells infected with Rous sarcoma virus are characterized by a wide variety of changes known collectively as transformation. Among these are decreases in the level of procollagen biosynthesis and in the level of procollagen mRNA. In this communication, we examine the time course of the decrease in procollagen biosynthesis, as measured by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and collagenase assay, and compare it with the decrease in procollagen mRNA sequences measured by hybridization to a complementary DNA. Procollagen biosynthesis and procollagen mRNA sequences decrease simultaneously after infection. Even the initial decrease in procollagen biosynthesis, therefore, is due to a decline in the level of procollagen mRNA.     

Computer program for the IBM personal computer which searches for approximate matches to short oligonucleotide sequences in long target DNA sequences.

We describe a program which may be used to find approximate matches to a short predefined DNA sequence in a larger target DNA sequence. The program predicts the usefulness of specific DNA probes and sequencing primers and finds nearly identical sequences that might represent the same regulatory signal. The program is written in the C programming language and will run on virtually any computer system with a C compiler, such as the IBM/PC and other computers running under the MS/DOS and UNIX operating systems. The program has been integrated into an existing software package for the IBM personal computer (see article by Mount and Conrad, this volume). Some examples of its use are given.     

A novel DNAseq program for enhanced analysis of Illumina GAII data: a case study on antibody complementarity-determining regions

High-throughput DNA sequencing technologies are increasingly becoming powerful systems for the comprehensive analysis of variations in whole genomes or various DNA libraries. As they are capable of producing massive collections of short sequences with varying lengths, a major challenge is how to turn these reads into biologically meaningful information. The first stage is to assemble the short reads into longer sequences through an in silico process. However, currently available software/programs allow only the assembly of abundant sequences, which apparently results in the loss of highly variable (or rare) sequences or creates artefact assemblies. In this paper, we describe a novel program (DNAseq) that is capable of assembling highly variable sequences and displaying them directly for phylogenetic analysis. In addition, this program is Microsoft Windows-based and runs by a normal PC with 700MB RAM for a general use. We have applied it to analyse a human naive single-chain antibody (scFv) library, comprehensively revealing the diversity of antibody variable complementarity-determining regions (CDRs) and their families. Although only a scFv library was exemplified here, we envisage that this program could be applicable to other genome libraries.     

Effect of hypermethylation of CCWGG sequences in DNA of Mesembryanthemum crystallinum plants on their adaptation to salt stress

Under salt stress conditions, the level of CpNpG-methylation (N is any nucleoside) of the nuclear genome of the facultative halophyte Mesembryanthemum crystallinum in the CCWGG sequences (W = A or T) increases two-fold and is coupled with hypermethylation of satellite DNA on switching-over of C3-photosynthesis to the crassulacean acid metabolism (CAM) pathway of carbon dioxide assimilation. The methylation pattern of the CCWGG sequences is not changed in both the 5'-promoter region of the gene of phosphoenolpyruvate carboxylase, the key enzyme of C4-photosynthesis and CAM, and in the nuclear ribosomal DNA. Thus, a specific CpNpG-hypermethylation of satellite DNA has been found under conditions of expression of a new metabolic program. The functional role of the CpNpG-hypermethylation of satellite DNA is probably associated with formation of a specialized chromatin structure simultaneously regulating expression of a large number of genes in the cells of M. crystallinum plants on their adaptation to salt stress and switching-over to CAM metabolism.