The relationship between non-protein-coding DNA and eukaryotic complexity.

By Ryan J. Taft, Michael Pheasant, John S. Mattick. Bioessays, 2007

638 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7116a7b87cf4cb98faa3d20eb6fc8bf7b7e6ae15

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Citations in the corpus

Combining gene prediction methods to improve metagenomic gene annotation (2011, background): “While the GM| MGA|Orph finds a similar coding/non-coding ratio found in the typical microbial genome [26,27], there is not sufficient evidence to show that a typical metagenome will represent this ratio.”
Long non-coding RNAs and complex diseases: from experimental results to computational models (2016, background): “Furthermore, the proportion of non-protein-coding sequence correspondingly increases along with the complexity of organisms [9].”
lncRNAdb v2.0: expanding the reference database for functional long noncoding RNAs (2014, background): “Evidence of a rapid expansion of lncRNA numbers and diversity over the recent period of primate evolution (26–28) supports this.”
Non‐coding RNAs: regulators of disease (2010, background): “An explanation for this apparent paradox comes from two unexpected findings: (a) that biological complexity generally correlates with the proportion of the genome that is non-protein-coding [1]; and (b) that, while only 2% of the mammalian genome encodes mRNAs, the vast majority is transcribed, larg”
The Genetic Signatures of Noncoding RNAs (2009, background): “Genome sequencing projects have shown that the numbers of protein-coding genes and the extent of protein-coding sequences do not change appreciably across the vertebrates nor indeed across the metazoa as a whole, despite large differences in developmental complexity”
Long Noncoding RNAs: Past, Present, and Future (2013, background): “Wholegenome sequencing in recent years suggests that noncoding content may correlate with organismic “complexity” (Taft et al. 2007), but such a conclusion must await a more extensive and varied sample of nonmammalian genome sequences.”
Long non-coding RNAs: insights into functions (2009, background): “The concomitant increase in non-coding content with organismal complexity supports the proposition that evolutionary innovations and expansion of regulatory RNAs were fundamental to the genetic programming of complex eukaryote”
MicroRNAs and complex diseases: from experimental results to computational models (2019, positive): “found the increased complexity of organisms was in proportion to the increased percentage of ncRNAs [15].”
Evolution of microRNA diversity and regulation in animals (2011, background): “The lack of correlation between organismal complexity and genome size or between organismal complexity and the number of protein-coding genes are known as the C-value and G-value paradoxes, respectively (reviewed in Ref”
The rise of regulatory RNA (2014, background): “Indeed, it seems most intergenic (and by definition intronic) sequences are differentially transcribed, and therefore that the extent of the transcriptome expands with developmental complexity 163 .”