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      Cloning large natural product gene clusters from the environment: Piecing environmental DNA gene clusters back together with TAR

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          Abstract

          A single gram of soil can contain thousands of unique bacterial species, of which only a small fraction is regularly cultured in the laboratory. Although the fermentation of cultured microorganisms has provided access to numerous bioactive secondary metabolites, with these same methods it is not possible to characterize the natural products encoded by the uncultured majority. The heterologous expression of biosynthetic gene clusters cloned from DNA extracted directly from environmental samples (eDNA) has the potential to provide access to the chemical diversity encoded in the genomes of uncultured bacteria. One of the challenges facing this approach has been that many natural product biosynthetic gene clusters are too large to be readily captured on a single fragment of cloned eDNA. The reassembly of large eDNA-derived natural product gene clusters from collections of smaller overlapping clones represents one potential solution to this problem. Unfortunately, traditional methods for the assembly of large DNA sequences from multiple overlapping clones can be technically challenging. Here we present a general experimental framework that permits the recovery of large natural product biosynthetic gene clusters on overlapping soil-derived eDNA cosmid clones and the reassembly of these large gene clusters using transformation-associated recombination (TAR) in Saccharomyces cerevisiae. The development of practical methods for the rapid assembly of biosynthetic gene clusters from collections of overlapping eDNA clones is an important step toward being able to functionally study larger natural product gene clusters from uncultured bacteria. © 2010 Wiley Periodicals, Inc. Biopolymers 93: 833–844, 2010.

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          GeneMark.hmm: new solutions for gene finding.

          The number of completely sequenced bacterial genomes has been growing fast. There are computer methods available for finding genes but yet there is a need for more accurate algorithms. The GeneMark. hmm algorithm presented here was designed to improve the gene prediction quality in terms of finding exact gene boundaries. The idea was to embed the GeneMark models into naturally derived hidden Markov model framework with gene boundaries modeled as transitions between hidden states. We also used the specially derived ribosome binding site pattern to refine predictions of translation initiation codons. The algorithm was evaluated on several test sets including 10 complete bacterial genomes. It was shown that the new algorithm is significantly more accurate than GeneMark in exact gene prediction. Interestingly, the high gene finding accuracy was observed even in the case when Markov models of order zero, one and two were used. We present the analysis of false positive and false negative predictions with the caution that these categories are not precisely defined if the public database annotation is used as a control.
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            Complete chemical synthesis, assembly, and cloning of a Mycoplasma genitalium genome.

            We have synthesized a 582,970-base pair Mycoplasma genitalium genome. This synthetic genome, named M. genitalium JCVI-1.0, contains all the genes of wild-type M. genitalium G37 except MG408, which was disrupted by an antibiotic marker to block pathogenicity and to allow for selection. To identify the genome as synthetic, we inserted "watermarks" at intergenic sites known to tolerate transposon insertions. Overlapping "cassettes" of 5 to 7 kilobases (kb), assembled from chemically synthesized oligonucleotides, were joined by in vitro recombination to produce intermediate assemblies of approximately 24 kb, 72 kb ("1/8 genome"), and 144 kb ("1/4 genome"), which were all cloned as bacterial artificial chromosomes in Escherichia coli. Most of these intermediate clones were sequenced, and clones of all four 1/4 genomes with the correct sequence were identified. The complete synthetic genome was assembled by transformation-associated recombination cloning in the yeast Saccharomyces cerevisiae, then isolated and sequenced. A clone with the correct sequence was identified. The methods described here will be generally useful for constructing large DNA molecules from chemically synthesized pieces and also from combinations of natural and synthetic DNA segments.
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              Computational improvements reveal great bacterial diversity and high metal toxicity in soil.

              The complexity of soil bacterial communities has thus far confounded effective measurement. However, with improved analytical methods, we show that the abundance distribution and total diversity can be deciphered. Reanalysis of reassociation kinetics for bacterial community DNA from pristine and metal-polluted soils showed that a power law best described the abundance distributions. More than one million distinct genomes occurred in the pristine soil, exceeding previous estimates by two orders of magnitude. Metal pollution reduced diversity more than 99.9%, revealing the highly toxic effect of metal contamination, especially for rare taxa.
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                Author and article information

                Journal
                Biopolymers
                Biopolymers
                bip
                Biopolymers
                Wiley Subscription Services, Inc., A Wiley Company (Hoboken )
                0006-3525
                1097-0282
                September 2010
                : 93
                : 9
                : 833-844
                Affiliations
                Howard Hughes Medical Institute, Laboratory of Genetically Encoded Small Molecules, The Rockefeller University 1230 York Avenue, New York, NY 10065
                Author notes
                Correspondence to: Sean F. Brady; e-mail: sbrady@ 123456rockefeller.edu

                Contract grant sponsor: Howard Hughes Medical Institute

                Contract grant number: NIH GM077516

                Contract grant sponsor: Beckman and Searle Foundations

                Article
                10.1002/bip.21450
                2895911
                20577994
                16550f4f-71d0-4b06-8097-00bc698f5188
                Copyright © 2010 Wiley Periodicals, Inc.

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 14 February 2010
                : 23 March 2010
                : 23 March 2010
                Categories
                Research Articles

                Biochemistry
                edna,metagenomics,natural products,tar
                Biochemistry
                edna, metagenomics, natural products, tar

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