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Abstract Background The current knowledge of genes and proteins comes from 'naturally designed' coding and non-coding regions. It would be interesting to move beyond natural boundaries and make user-defined parts. To explore this possibility we made six non-natural proteins in E. coli. We also studied their potential tertiary structure and phenotypic outcomes. Results The chosen intergenic sequences were amplified and expressed using pBAD 202/D-TOPO vector. All six proteins showed significantly low similarity to the known proteins in the NCBI protein database. The protein expression was confirmed through Western blot. The endogenous expression of one of the proteins resulted in the cell growth inhibition. The growth inhibition was completely rescued by culturing cells in the inducer-free medium. Computational structure prediction suggests globular tertiary structure for two of the six non-natural proteins synthesized. Conclusion To our best knowledge, this is the first study that demonstrates artificial synthesis of non-natural proteins from existing genomic template, their potential tertiary structure and phenotypic outcome. The work presented in this paper opens up a new avenue of investigating fundamental biology. Our approach can also be used to synthesize large numbers of non-natural RNA and protein parts for useful applications.

Many mutants have been isolated from the model plant Arabidopsis thaliana, and recent important genetic resources, such as T-DNA knockout lines, facilitate the speed of identifying new mutants. However, present phenotypic analysis of mutant screens depends mainly on qualitative descriptions after visual observation of morphological traits. We propose a novel method of phenotypic analysis based on precise three-dimensional (3D) measurement by a laser range finder (LRF) and automatic data processing. We measured the 3D surfaces of young plants of two Arabidopsis ecotypes and successfully defined two new traits, the direction of the blade surface and epinasty of the blade, quantitatively . The proposed method enables us to obtain quantitative and precise descriptions of plant morphologies compared to conventional 2D measurement. The method will open a way to find new traits from mutant pools or natural ecotypes based on 3D data. [ABSTRACT FROM AUTHOR]

Plant genomic resources harbouring gain-of-function mutations remain rare, even though this type of mutation is believed to be one of the most useful for elucidating the function of unknown genes that have redundant partners in the genome. An activation-tagging T-DNA was introduced into the genome of Arabidopsis creating 55 431 independent transformed lines. Of these T1 lines, 1262 showed phenotypes different from those of wild-type plants. We called these lines ‘AT1Ps’ ( activation T1 putants). The phenotypes observed include abnormalities in morphology, growth rate, plant colour, flowering time and fertility. Similar phenotypes re-appeared either in dominant or semi-dominant fashion in 17% of 177 AT2P plants tested. Plasmid rescue or an adaptor-PCR method was used to identify 1172 independent genomic loci of T-DNA integration sites in the AT1P plants. Mapping of the integration sites revealed that the chromosomal distribution of these sites is similar to that observed in conventional T-DNA knock-out lines, except that the intragenic type of integration is slightly lower (27%) in the AT1P plants compared to that observed in other random knock-out populations (30–35%). Ten AT2P lines that showed dominant phenotypes were chosen to monitor expression levels of genes adjacent to the T-DNA integration sites by RT-PCR. Activation was observed in 7 out of 17 of the adjacent genes detected. Genes located up to 8.2 kb away from the enhancer sequence were activated. One of the seven activated genes was located close to the left-border sequence of the T-DNA, having an estimated distance of 5.7 kb from the enhancer. Surprisingly, one gene, the first ATG of which is located 12 kb away from the enhancer, showed reduced mRNA accumulation in the tagged line. Application of the database generated to Arabidopsis functional genomics research is discussed. The sequence database of the 1172 loci from the AT1P plants is available ( ). [ABSTRACT FROM AUTHOR]