Sy, I really don’t see it that way. What I see are self-promoting statements about how a ‘new’ approach, ‘previously ignored’ will revolutionize a ‘moribund’ science of evolutionary biology. It’s a old, rhetorical technique of trying to play up the contrast between old and new. An extension seldom generates excitement like ‘the new’ or ‘the revolutionary’, but much of the hype is provided with an incorrect context of actual history. People like Larry Moran frequently skewer such pronouncements.
Aside:
The human genome project was also sold with a goodly amount of self-promotion and hyperbolic claims. Scientifically, the project was definitely useful but not nearly to the extent many participants said. And to be realistic, the early genome projects were done more because they were easy and could be readily accomplished, not because they were the best way for achieving groundbreaking science. Most biologists knew that the work would only start with the sequences, just providing one step along the long haul.
Still, as moon-shots go, it was probably more generally useful than many of the ‘omics’ initiatives since.
Epigenetics:
Epigenetics is the the spotlight now because initial measurements are also becoming easy. We have the technology. I suspect the field is also being oversold but we will still characterize epigenetic modification sites and mechanisms because it’s another step along the way that will produce some useful insights.
I don’t see these advancements as revolutionary but incremental. Perhaps because I favor the phagocytosis model for describing most of science.
Neo-Lamarkian:
Now, what really gets me seeing red is the term ‘Lamarckian’. I think that’s sad because the mechanisms currently proposed as “Lamarkian”-like are but a pale shadow of the theory Lamarck proposed. For instance, I’d like to see a biologically feasible, feedback mechanism of Lamarckian use/disuse that would account for the evolution of a giraffe’s neck. I think what counts as ‘Lamarckian’ under ‘new’ biology is piddling in comparison and I suspect these examples will cover a small set of special cases rather than be main drivers, especially in life with split germ and somatic cell lines. So, for those who want to claim that neo-Larmarckian mechanisms are wide-spread and generally applicable in evolution, I’d really like them to list the sort of feedback mechanisms, underlying functions and specificity required to support such mechanisms on a broad scale. Early estimates from genetics suggested an upper limit to the number of genes an organism could maintain against drift and decay. Those estimates seem to have been reasonably close to what we see. I suspect there are also very real limits to the additional number of components required to support a general-purpose, neo-Lamarkian system.
Regarding popularizations missing many details:
Here is my favorite quote – “Evolution is so simple, almost anyone can misunderstand it” by the late philosopher of science, David Hull
I doubt that many scientists in the field thought evolution was ever a simple, linear process. We hope it’s simple and there certainly are the rare, simple cases, but overall, biology rarely is easy.
I look at the advances from a technological view:
- Early on, ‘genes’ were something one could study and thus genes were modeled. This was necessarily incomplete and most scientists in that field knew it.
- Later, recombination and crossing-over were studied and the linear model of genomes added model refinements. This was necessarily incomplete and most scientists in that field knew it.
- DNA and its replication machinery were characterized and we refined models with traits as products of that machinery. This was necessarily incomplete and most scientists in that field knew it.
- DNA & protein sequences yielded snapshots for comparative studies at the molecular level. This technology was used to refine evolutionary models. This was necessarily incomplete and most scientists in that field knew it.
- And so on.
Despite the shortcomings at each step, we did learn something about the nature and mode of evolution. Variation and selection are real phenomena. Taxonomy was combined with sequence data, cementing the overall pattern of common descent. Human and chimp variation fell well within the range of known molecular mechanisms, further proving relatedness. We learned that genomes constantly shift while many gross physical characteristics may persist. Changes in regulation generally occur faster than changes in structural proteins.