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Emergent Properties as By-products of Prebiotic Evolution of Aminoacylation Ribozymes

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DataONE2024-06-12 更新2025-08-09 收录
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The emergence of the genetic code was a major transition in the evolution from a prebiotic RNA world to the earliest modern cells. A prominent feature of the standard genetic code is error minimization, or the tendency of mutations to be unusually conservative in preserving biophysical features of the amino acid. While error minimization is often assumed to result from natural selection, it has also been speculated that error minimization may be a by-product of emergence of the genetic code. During establishment of the genetic code in an RNA world, self-aminoacylating ribozymes would enforce the mapping of amino acids to anticodons. Here we show that expansion of the genetic code, through co-option of ribozymes for new substrates, could result in error minimization as an emergent property. Using self-aminoacylating ribozymes previously identified during an exhaustive search of sequence space, we measured the activity of thousands of candidate ribozymes on alternative substrates (activat..., Data were collected from k-Seq experiments using methods similar to those described in two of the supplementary articles linked to this deposit (https://doi.org/10.1021/jacs.8b13298) and (https://doi.org/10.1093/nar/gkab199/6194417) using BWO, BFO, BLO, BIO, BVO, or BMO as substrates for aminoacylating ribozymes. 8.7.3           ,   8.7.3                               , # Emergent Properties as By-products of Prebiotic Evolution of Aminoacylation Ribozymes [https://doi.org/10.25349/D92C9C](https://doi.org/10.25349/D92C9C) ## Description of the data and file structure This dataset contains all collected data for this project and the scripts necessary for its analysis: * BXO_k-seq: Folders for each of six k-Seq experiments performed using BWO, BFO, BLO, BIO, BVO, and BMO, each containing: * raw.reads: compressed paired-end FASTQ files from triplicate reactions (A, B, and C or D, E, and F) at five substrate concentrations (2, 10, 50, 250, and 1250 uM) * counts: joined and enumerated reads for each sample generated using EasyDIVER (https://link.springer.com/article/10.1007/s00239-020-09954-0) * bxo-results: analysis of counts files generated using k-Seq package (https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkab199/6194417) * k-seq_inputs: A folder containing raw reads and counts files for six input samples (A-F) used in k-Seq expe...
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2025-08-01
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