This is a list of scientific papers on junk DNA that you need to read (and understand) in order to participate in the junk DNA debate. It's not a comprehensive list because it's mostly papers that defend junk DNA and refute arguments for massive amounts of function. The only exception is the paper by Mattick and Dinger (2013).1 It's the only anti-junk paper that attempts to deal with the main evidence for junk DNA. If you know of any other papers that make a good case against junk DNA then I'd be happy to include them in the list.
If you come across a publication that argues against junk DNA, then you should immediately check the reference list. If you do not see some of these references in the list, then don't bother reading the paper because you know the author is not knowledgeable about the subject.Brenner, S. (1998) Refuge of spandrels. Current Biology, 8:R669-R669. [PDF]
Brunet, T.D., and Doolittle, W.F. (2014) Getting “function” right. Proceedings of the National Academy of Sciences, 111:E3365-E3365. [doi: 10.1073/pnas.1409762111]
Casane, D., Fumey, J., et Laurenti, P. (2015) L’apophénie d’ENCODE ou Pangloss examine le génome humain. Med. Sci. (Paris) 31: 680-686. [doi: 10.1051/medsci/20153106023] [The apophenia of ENCODE or Pangloss looks at the human genome]
Cavalier-Smith, T. (1978) Nuclear volume control by nucleoskeletal DNA, selection for cell volume and cell growth rate, and the solution of the DNA C-value paradox. Journal of Cell Science, 34(1), 247-278. [doi: PDF]
Doolittle, W.F. (2013) Is junk DNA bunk? A critique of ENCODE. Proc. Natl. Acad. Sci. (USA) published online March 11, 2013. [PubMed] [doi: 10.1073/pnas.1221376110]
Doolittle, W.F., Brunet, T.D., Linquist, S., and Gregory, T.R. (2014) Distinguishing between “function” and “effect” in genome biology. Genome biology and evolution 6, 1234-1237. [doi: 10.1093/gbe/evu098]
Doolittle, W.F., and Brunet, T.D. (2017) On causal roles and selected effects: our genome is mostly junk. BMC biology, 15:116. [doi: 10.1186/s12915-017-0460-9]
Eddy, S.R. (2012) The C-value paradox, junk DNA and ENCODE. Current Biology, 22:R898. [doi: 10.1016/j.cub.2012.10.002]
Eddy, S.R. (2013) The ENCODE project: missteps overshadowing a success. Current Biology, 23:R259-R261. [10.1016/j.cub.2013.03.023]
Graur, D. (2017) Rubbish DNA: The functionless fraction of the human genome Evolution of the Human Genome I (pp. 19-60): Springer. [doi: 10.1007/978-4-431-56603-8_2 (book)] [PDF]
Graur, D. (2017) An upper limit on the functional fraction of the human genome. Genome Biology and Evolution, 9:1880-1885. [doi: 10.1093/gbe/evx121]
Graur, D., Zheng, Y., and Azevedo, R.B. (2015) An evolutionary classification of genomic function. Genome Biology and Evolution, 7:642-645. [doi: 10.1093/gbe/evv021]
Gregory, T. R. (2005) Synergy between sequence and size in large-scale genomics. Nature Reviews Genetics, 6:699-708. [doi: 10.1038/nrg1674]
Haerty, W., and Ponting, C.P. (2014) No Gene in the Genome Makes Sense Except in the Light of Evolution. Annual review of genomics and human genetics, 15:71-92. [doi:10.1146/annurev-genom-090413-025621]
Hurst, L.D. (2013) Open questions: A logic (or lack thereof) of genome organization. BMC biology, 11:58. [doi:10.1186/1741-7007-11-58]
Kellis, M., Wold, B., Snyder, M.P., Bernstein, B.E., Kundaje, A., Marinov, G.K., Ward, L.D., Birney, E., Crawford, G. E., and Dekker, J. (2014) Defining functional DNA elements in the human genome. Proc. Natl. Acad. Sci. (USA) 111:6131-6138. [doi: 10.1073/pnas.1318948111]
Mattick, J. S., and Dinger, M. E. (2013) The extent of functionality in the human genome. The HUGO Journal, 7:2. [doi: 10.1186/1877-6566-7-2]
Five Things You Should Know if You Want to Participate in the Junk DNA DebateMorange, M. (2014) Genome as a Multipurpose Structure Built by Evolution. Perspectives in biology and medicine, 57:162-171. [doi: 10.1353/pbm.2014.000]
Niu, D. K., and Jiang, L. (2012) Can ENCODE tell us how much junk DNA we carry in our genome?. Biochemical and biophysical research communications 430:1340-1343. [doi: 10.1016/j.bbrc.2012.12.074]
Ohno, S. (1972) An argument for the genetic simplicity of man and other mammals. Journal of Human Evolution, 1:651-662. [doi: 10.1016/0047-2484(72)90011-5]
Ohno, S. (1972) So much "junk" in our genome. In H. H. Smith (Ed.), Evolution of genetic systems (Vol. 23, pp. 366-370): Brookhaven symposia in biology.
Palazzo, A.F., and Gregory, T.R. (2014) The Case for Junk DNA. PLoS Genetics, 10:e1004351. [doi: 10.1371/journal.pgen.1004351]
Rands, C. M., Meader, S., Ponting, C. P., and Lunter, G. (2014) 8.2% of the Human Genome Is Constrained: Variation in Rates of Turnover across Functional Element Classes in the Human Lineage. PLOS Genetics, 10:e1004525. [doi: 10.1371/journal.pgen.1004525]
Thomas Jr, C.A. (1971) The genetic organization of chromosomes. Annual review of genetics, 5:237-256. [doi: annurev.ge.05.120171.001321]
1. The paper by Kellis et al. (2014) is ambiguous. It's clear that most of the ENCODE authors are still opposed to junk DNA even though the paper is mostly a retraction of their original claim that 80% of the genome is functional.
Hi Larry Moran how are you? I sent you some emails a while back did they get though?
ReplyDeleteAlso the Discovery Institute has posted this on YouTube and a website about this as well.
Here are the links.
https://www.youtube.com/watch?app=desktop&persist_app=1&noapp=1&v=T_mCN7cYiLk
https://humanzoos.org
What’s your thoughts on this?
Sorry made an error on the previous comment.
Larry - Have you seen this paper released on biorxiv a week ago? The authors created a database of genes and transcripts, concluding that the vast majority of the transcriptome is the result on non-specific spurious transcription:
ReplyDelete"Perhaps the most striking result of this study is the vast number of transcripts that appear to have no function at all. Across all data sets and all tissue types, we observed over 30 million distinct transcripts in approximately 700,000 distinct genomic locations, of which only about 40,000 (5%) appear to represent functional gene loci."
They also conclude that the number of transcription variants is due to splicing errors:
"Similarly, the vast majority of the transcript variants themselves also appear nonfunctional. Although this study greatly increases the number of isoforms of known genes, the 323,824 transcripts reported here represent just 1.1% of the 30,467,424 distinct transcripts observed across all 9,795 data sets. This suggests that the splicing machinery too, like RNA polymerase, is highly nonspecific in its actions, in agreement with previous studies that found that the vast majority of observed splice variants correspond to errors."
https://www.biorxiv.org/content/biorxiv/early/2018/05/29/332825.full.pdf
I saw the paper. It’s very interesting but I decided to make a policy of not commenting on unpublished preprints. I’ll wait until it appears in a scientific journal.
DeleteIt seems to have been published as:
ReplyDeletehttps://genomebiology.biomedcentral.com/articles/10.1186/s13059-018-1590-2
Hi Larry,
ReplyDeleteI've been following your blog for a few years (although not religiously) because I am especially attracted to the idea that most of our DNA is junk, but unfortunately my understanding of biology is terrible. I plan to eventually buy your book but I also do want to read and understand every reference in this list. I have read the first three papers and understood them, but I am having trouble understanding the fourth reference on the list. Would it take much skin off your back to sort the references in order of least difficulty to most difficulty?
From,
Greg