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      The Transposable Element Landscape of the Model Legume Lotus japonicus

      , , , ,
      Genetics
      Genetics Society of America

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          Abstract

          The largest component of plant and animal genomes characterized to date is transposable elements (TEs). The availability of a significant amount of Lotus japonicus genome sequence has permitted for the first time a comprehensive study of the TE landscape in a legume species. Here we report the results of a combined computer-assisted and experimental analysis of the TEs in the 32.4 Mb of finished TAC clones. While computer-assisted analysis facilitated a determination of TE abundance and diversity, the availability of complete TAC sequences permitted identification of full-length TEs, which facilitated the design of tools for genomewide experimental analysis. In addition to containing all TE types found in previously characterized plant genomes, the TE component of L. japonicus contained several surprises. First, it is the second species (after Oryza sativa) found to be rich in Pack-MULEs, with >1000 elements that have captured and amplified gene fragments. In addition, we have identified what appears to be a legume-specific MULE family that was previously identified only in fungal species. Finally, the L. japonicus genome contains many hundreds, perhaps thousands of Sireviruses: Ty1/copia-like elements with an extra ORF. Significantly, several of the L. japonicus Sireviruses have recently amplified and may still be actively transposing.

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          Plant transposable elements: where genetics meets genomics.

          Transposable elements are the single largest component of the genetic material of most eukaryotes. The recent availability of large quantities of genomic sequence has led to a shift from the genetic characterization of single elements to genome-wide analysis of enormous transposable-element populations. Nowhere is this shift more evident than in plants, in which transposable elements were first discovered and where they are still actively reshaping genomes.
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            Paircoil2: improved prediction of coiled coils from sequence.

            We introduce Paircoil2, a new version of the Paircoil program, which uses pairwise residue probabilities to detect coiled-coil motifs in protein sequence data. Paircoil2 achieves 98% sensitivity and 97% specificity on known coiled coils in leave-family-out cross-validation. It also shows superior performance compared with published methods in tests on proteins of known structure.
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              MultiCoil: a program for predicting two- and three-stranded coiled coils.

              A new multidimensional scoring approach for identifying and distinguishing trimeric and dimeric coiled coils is implemented in the MultiCoil program. The program extends the two-stranded coiled-coil prediction program PairCoil to the identification of three-stranded coiled coils. The computations are based upon data gathered from a three-stranded coiled-coil database comprising 6,319 amino acid residues, as well as from the previously constructed two-stranded coiled-coil database. In addition to identifying coiled coils not predicted by the two-stranded database programs, MultiCoil accurately classifies the oligomerization states of known dimeric and trimeric coiled coils. Analysis of the MultiCoil scores provides insight into structural features of coiled coils, and yields estimates that 0.9% of all protein residues form three-stranded coiled coils and that 1.5% form two-stranded coiled coils. The MultiCoil program is available at http:/(/)theory.lcs.mit.edu/multicoil.
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                Author and article information

                Journal
                Genetics
                Genetics
                Genetics Society of America
                0016-6731
                1943-2631
                December 20 2006
                December 2006
                December 2006
                October 08 2006
                : 174
                : 4
                : 2215-2228
                Article
                10.1534/genetics.106.062752
                1698628
                17028332
                a518b67f-75df-40ea-b158-c2be4de1f1ec
                © 2006
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