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A Solution to the C-Value Paradox and the Function of Junk DNA: The Genome Balance Hypothesis 被引量:2
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作者 michael freeling Jie Xu +1 位作者 Margaret Woodhouse Damon Lisch 《Molecular Plant》 SCIE CAS CSCD 2015年第6期899-910,共12页
The Genome Balance Hypothesis originated from a recent study that provided a mechanism for the phenom- enon of genome dominance in ancient polyploids: unique 24nt RNA coverage near genes is greater in genes on the re... The Genome Balance Hypothesis originated from a recent study that provided a mechanism for the phenom- enon of genome dominance in ancient polyploids: unique 24nt RNA coverage near genes is greater in genes on the recessive subgenome irrespective of differences in gene expression. 24nt RNAs target transposons. Transposon position effects are now hypothesized to balance the expression of networked genes and pro- vide spring-like tension between pericentromeric heterochromatin and microtubules. The balance (coordi- nation) of gene expression and centromere movement is under selection. Our hypothesis states that this balance can be maintained by many or few transposons about equally well. We explain known balanced dis- tributions of junk DNA within genomes and between subgenomes in allopolyploids (and our hypothesis passes "the onion test" for any so-called solution to the C-value paradox), importantly, when the allotetra- ploid maize chromosomes delete redundant genes, their nearby transposons are also lost; this result is ex- plained if transposons near genes function. The Genome Balance Hypothesis is hypothetical because the position effect mechanisms implicated are not proved to apply to all junk DNA, and the continuous nature of the centromeric and gene position effects have not yet been studied as a single phenomenon. 展开更多
关键词 junk DNA TRANSPOSONS C-VALUE PARADOX gene regulation BALANCE
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FAIR: A Call to Make Published Data More Findable, Accessible, Interoperable, and Reusable 被引量:1
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作者 Leonore Reiser Lisa Harper +2 位作者 michael freeling Bin Han Sheng Luan 《Molecular Plant》 SCIE CAS CSCD 2018年第9期1105-1108,共4页
Biology has become an information-dense, data-intensive enterprise that requires the ability to access, integrate, and compute on large amounts of data. To enable better use of data, stakeholders (scientists, curator... Biology has become an information-dense, data-intensive enterprise that requires the ability to access, integrate, and compute on large amounts of data. To enable better use of data, stakeholders (scientists, curators, librarians, and journal publishers) have established standards to ensure that data are findable, accessible, interoperable. 展开更多
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