john hawks weblog

paleoanthropology, genetics and evolution

Today's dose of depression on science jobs

Sat, 2012-07-07 18:02 -- John Hawks

Brian Vastig reports in the Washington Post on the problem with calls for more Ph.D. scientists: "U.S. pushes for more scientists, but the jobs aren’t there".

Traditional academic jobs are scarcer than ever. Once a primary career path, only 14 percent of those with a PhD in biology and the life sciences now land a coveted academic position within five years, according to a 2009 NSF survey. That figure has been steadily declining since the 1970s, said Paula Stephan, an economist at Georgia State University who studies the scientific workforce. The reason: The supply of scientists has grown far faster than the number of academic positions.

The story goes on to note the job losses in pharmaceuticals and other industry categories. Related, from Bob Cringely on the IT industry: "IT class warfare — It’s not just IBM".

In America right now there is a glut of $80,000-and-above IT workers and a shortage of $40,000-and-below IT workers.

Remember that $80,000-and-above population comes with a surcharge for benefits that may not equally apply to the $40,000-and-below crowd, especially if those are overseas or in this country temporarily. A good portion of that surcharge relates to costs that increase with age, so older workers are more expensive than younger workers.

It’s illegal to discriminate based on age but not illegal to discriminate based on cost, yet one is a proxy for the other. So this is not just class warfare, it is generational warfare.

Academic jobs are subject to different dynamics than corporate jobs, but some related phenomena are at play. Most academic scientists who make it onto the tenure track begin to experience "salary compression" -- the phenomenon in which institutions pay a market rate to new Ph.D. hires, which grows faster than the salaries paid to continuing faculty. This is a sort of perverse intergenerational conflict that arises in part because of tenure. By limiting the ability of mid-career academics to move to a new job, tenure protects universities against having to offer experienced faculty competitive salaries. Young researchers enter a speculation market in which most will fail to find academic jobs, while a few good "tenure prospects" are offered higher and higher salaries by the institutions that can afford them.

Making a difference via blogging

Sat, 2012-07-07 15:47 -- John Hawks

Paul Knoepfler, a UC-Davis cell biologist, runs a very active blog in which he discusses the science of stem cells. One of his recurrent themes is strong criticism of clinics and physicians who provide unapproved stem cell "treatments" to patients, sometimes with fatal side effects. He reflects on the importance of blogging for him as a researcher: "The Blob versus the blog: arguing how social media is changing science".

My main point of this line of discussion is that I can’t think of how I could have made a difference in the area of dubious stem cell treatments without this blog. It’s become a powerful tool for good and I take that very seriously.

More broadly I also discuss on my blog key issues in science that are important but are rarely discussed because they are awkward issues or taboo areas. Mainstream journals are frankly too wimpy to ever allow discussions of such touchy issues, but such issues do indeed need to be talked about.

Knoepfler famously described his start in blogging in a Nature editorial last year: "My year as a stem-cell blogger".

The battle against the cancer was the most difficult of my life and I still worry that it may come back. But the experience also had positive effects. For one, I still missed The Niche, and assumed that others did too. Once I recovered, I found the courage to start a replacement. After all, how hard can blogging be when compared with facing cancer? A year on, it has been a remarkable experience.

He describes some of the private "concerns" expressed by colleagues, worrying for the future of his funding. What can I say? People have often expressed the same concerns to me. I cannot claim, as Knoepfler does, that these concerns have been empty. On the contrary, some of my grant reviews have made it clear that blogging has worked against me in funding applications. Funding rates are so low that I will never know whether this has scuttled applications or whether they would have been rejected anyway, and so I don't let the naysayers bother me. But clearly we need to keep working to change the climate.

LRJ as a transitional industry

Wed, 2012-07-04 09:52 -- John Hawks

I was reading this morning an interesting paper from last year by Damien Flas [1], who considered the context of archaeological assemblages grouped as Lincombian-Ranisian-Jerzmanowician industry in northern Europe. This awkwardly-named archaeological grouping is one of the "transitional" initial Upper Paleolithic industries of Europe, plausibly made by Neandertals but involving artifacts built on a blade-based reduction strategy.

Flas tentatively concludes that LRJ was produced by Neandertals, mainly because of its early date, the late appearance of Aurignacian in northwestern Europe, and the lack of technical connections to traditions that were plausibly made by modern humans. I will share the portion of the text where he discusses the lack of such links:

Recently, maybe because an acculturation process related to the Aurignacian complex has been challenged on the basis of chronological and stratigraphic data (e.g. Bordes 2003; d'Errico et al. 1998; Zilhão 2006a), other industries have been proposed as proxies for the spread of AMH and as acculturators driving the last Neanderthals to develop the ‘transitional industries’ (Bar-Yosef 2007; Hoffecker 2009; Mellars 2005). In Central Europe, the Bohunician has been seen as a complex related to the spread of AMH from the Near East (Bar-Yosef and Svoboda 2003; Kozłowski 2004). Indeed, it shows similarities with the assemblages in layers 1–2 of Boker-Tachtit (Skrdla 2003; Tostevin 2003), and Tostevin (2007) has set out in a detailed way how the Szeletian assemblage from Vedrovice V may be seen as the result of acculturation of the local Middle Paleolithic (Keilmessergruppe from Kulna Cave) by the Bohunician complex.

However, the extension of this model to include a scenario whereby LRJ Neanderthals are acculturated by Bohunician AMH finds little support in the evidence, and is thus a weak hypothesis. There are no human remains, either in the Near East or in Central Europe, showing that this ‘Emireo-Bohunician’ complex is made by AMH, and it could alternatively correspond to the diffusion of technical ideas rather than to a population dispersal (Tostevin 2003). Moreover, the relationship between Boker Tachtit (in the Negev) and the Bohunician (in Moravia) is based on technological similarities, but intermediary assemblages between these two distant regions are rare (Bar-Yosef and Svoboda 2003; Kozłowski 2004) and sometimes show variability (as at Temnata and Bacho Kiro: Teyssandier 2008; Tsanova 2008). It would be also necessary to assess other European late Middle Paleolithic industries that could potentially play a role in the emergence of the Bohunician (Kozłowski 2001), such as the Polish sites of Piekary IIa and Ksiecia Jozefa (Sitlivy et al. 2007a, 2007b; Zilhão 2006a), as well as Korolevo I/IIb (Ukrainia: Monigal et al. 2006) and the Bulgarian Moustero-Levalloisian with leaf-points of Samuilitsa and Muselievo (Tsanova 2008). Even if the hypothesis that the Bohunician corresponds to an AMH dispersal from the Near East is accepted, the LRJ shows different objectives and reduction strategies from the Bohunician. More generally, it is difficult to see any lithic innovations in Bachokirian or Bohunician industries that could provide the stimulus for long-distance acculturation.

He posits a transformation from some Mousterian variant, based on the specialization toward "laminar blanks" (that is, cores suitable for striking blades). I find very interesting the implication of information exchange and possible dispersal among late Neandertals in the northern tier of Europe.

Related: my post from last year on Kent's Cavern dating, "The radiocarbon dating paper without a radiocarbon date". The Kent's Cavern maxilla overlies some artifacts attributed to LRJ traditions.


References

Making universities compete

Tue, 2012-07-03 09:39 -- John Hawks

David Glance discusses the online course frenzy, giving a boosterist perspective: "Will free online courseware from the US mean the end of (most) universities elsewhere?" He emphasizes an important question -- why do we reduplicate the effort of teaching the same subjects, using ineffective pedagogy, in so many different institutions?

I have often wondered why every university in the world needed to teach exactly the same subjects every year, when the means are now available for anyone in the world to access a subject from a single provider. There are only so many ways you can teach introductory courses, for example, just like there is a limit to the number of introductory textbooks that need to be written. Once you have recorded a version of the course, why is it that we need to have someone deliver that content live each year? More to the point, what right does a university have in charging for that?

What excites me about online learning is the potential to do something better than the traditional model. Hence, I'm disappointed when I see the online model adopting ineffective methods from classroom instruction. For example:

In online courses, assessment can be done with little to no cost by either fully automatically using multiple choice quizzes or by using peer assessment. Support is also crowdsourced. Responses to questions and queries can be rated to guide students into filtering the most appropriate answers (this is similar to the approach taken by a tech support site called Stack Overflow and it is incredibly effective).

As I've noted ("Learning by app"), there is some evidence that in some contexts online learning is as effective as classroom learning. But we're a long way from demonstrating that to be true in general. Automatic multiple choice quizzes and peer assessment are not very good indicators of learning in classrooms, so I question the idea of deploying these assessment methods on a scale of 100,000 students. What right does anyone have in charging for that? Well, that helps to explain why the model is currently free. Personally, I think we can do better than this.

To address Glance's question -- if we assume that universities can begin to "outsource" their introductory courses, this must really destabilize their funding model, which relies on students enrolling in large introductory courses to subsidize the rest. There is a lot of potential for creative destruction here. A university that chooses to become excellent by focusing its teaching at an advanced level can compete for students on the basis of quality. A university that chooses to enable students to finish their degrees in two years after online transfer credits may find ways to reach new groups of students. A university may find ways to bring better laboratory experiences to students as a way of increasing instructional quality compared to online courses. What is sure to fail is complacency. The instructional quality of most university lecture courses is just not high enough to justify their high cost to students.

J. Barnard Davis and the variation within races

Mon, 2012-07-02 17:58 -- John Hawks

Once again, I'm looking through source material for a very different reason, but ran across an interesting piece of history. J. Barnard Davis was a British physician and anatomist who, as a private collector, amassed an immense collection of nearly 1800 skulls. His studies on the cranial capacity of these skulls, including comparisons of skulls of different races, were cited by Darwin in The Descent of Man (which is what brought me to Davis' work).

He published this work on human variation in the critical period between the 1859 publication of Darwin's Origin of Species and the 1871 publication of Descent of Man. During this period, Darwin did not publish on the subject of human evolution, but was engaged in a great deal of reading and correspondence on the subject. In his stead, publications and lectures by Huxley, Wallace, and others began to apply Darwinian principles to human variation.

I may write more about Davis, but I wanted to make a note of a passage in the introduction to the 1867 catalog of his collection, the Thesaurus Craniorum [1]. He addresses the importance of a large collection of skulls, which among other things allows an assessment of the breadth of variation within populations. One consequence of our additional sampling of human variation in the 20th century was the recognition that variation among human populations was clinal -- with characteristics forming a gradient across geographic space.

The extent of a collection is of much moment; for, besides affording more reliable averages of measurements, a large one is far more sure to illustrate the types of each race fully, and to contain its aberrant forms. The statement made by Prof. Theodor Waitz, that only small collections of race-skulls exhibit different forms of skulls strikingly whilst rich collections fill up the apparent intervening gaps and show a continual transition from every one form to every other, is only very partially correct, and is an assertion much more characteristic of a Professor of Philosophy than a Professor of Anatomy, essentially a science of observation. Although large collections, philosophically considered, must of necessity, by containing skulls that have intermediate forms, tend to lessen distinctions, they, at the same time, serve to develope [sic] race-characters more fully, and to define the play of diversities round these race-characters with more precision.

The citation to Waitz is to Anthropologie der Naturvölker, 1859.

From a certain point of view, Davis was correct: An increase of sample size will increase the range of the sample, but not greatly increase the proportion of overlap between samples drawn from two populations with different means. Large samples might increase a statistical precision in the description of races. Yet, Waitz' point is also correct. Large samples destroy the typological description of races by showing that no character uniquely typifies any human race. The effect of large samples on the range is often the key evidence that populations share common biology.

Statistics is fundamental to population biology -- so much so that population geneticists like R. A. Fisher and Sewall Wright invented many statistical concepts. Until they understand statistical concepts, people seem inevitably drawn toward essentialism. Essentialism in the history of biology led to typological concepts of species, race, characters, and developmental stages, all of which explained variation in terms of deviation from the ideal type. We now appreciate that populations transform according to statistical rules, not typological rules.

With his immense collection of skulls, Davis showed the extensive variation within populations. He argued so forcefully for the importance of variation that he predicted that the original Neandertal skull would be soon matched within the cranial diversity of living populations. Davis maintained that the skull's elongated shape and browridges could be explained as a result of craniosynostosis, premature closure of the cranial sutures. He looked to human pathology for anatomical intermediates with the Neandertals, arguing that the variation attributable to craniosynostosis would be found to grade continuously right up to the extreme found in the Neandertal skull. In other words, he argued against typology when it came to pathology.

He turned out to be wrong about Neandertal, it was an overreach of his assumptions about variation in development. At the same time, he believed that "race-characters" were stable and that they reflected a long history of separation of human races. He provides an interesting case of how a nineteenth-century anatomist could toss a typological salad.


References

Writing more accessibly is the watchword

Mon, 2012-07-02 12:22 -- John Hawks

Rachel Toor writes in the Chronicle of Higher Education in favor of academics finding a more polished approach to their prose: "Becoming a stylish writer".

In an essay called "Professional Boredom," William Cronon, president of the American Historical Association, warned that, when taken to an extreme, the values and practices of good history—rigorous, complex, and nuanced argumentation; accuracy; grounding in primary research; awareness of the field—can make the discipline accessible to only a small group. He warns about writing that keeps readers out rather than inviting them in. He chides against using jargon, and gives these examples: "agency," "contingency," and "document." Quaint, right? I wish I remembered the days when I thought those words counted as academic cant. Cronon suggests that his peers tell stories, and he cautions them not to be boring.

It's not too difficult to make your writing more interesting and accessible for readers, you just need to practice. The Old Guard will resist. I myself have tried to place academic papers where the editor has told me they are written too accessibly -- "like an article from [redacted] magazine".

Good luck with that attitude!

(via Kate Clancy)

The RNA game

Sun, 2012-07-01 08:23 -- John Hawks

It's hard to predict folding patterns of RNA in cells. As Hayley Dunning describes, RNA has been "gamified" to give scientists some help: "Toying with RNA".

Players of the game EteRNA are given a real-world RNA shape and asked to manipulate a chain of nucleotides to fit that shape, by observing how different patterns of nucleotides form certain structures, like loops or tails. Then, every week, a few molecules are selected for synthesis in a lab at Stanford to see how closely they match the desired shape.

The game itself, "EteRNA", is pretty cute. It took me a few tries to realize it's pronounced like the first six-sevenths of "eternal".

I wish there were some way to gamify paleoanthropology. I mean, something more illuminating than just sticking Neandertals into World of Warcraft.

Hot, hot, hot

Fri, 2012-06-29 16:45 -- John Hawks

My hometown made the news yesterday:

On Thursday, Norton, Kan., was the hottest spot in the nation, topping out at 118 degrees, according to the National Climatic Data Center. Over the previous five days, another Kansas town, Hill City, held that spot, reaching 115 degrees on Wednesday.

Hill City and Norton don't really have a strong rivalry, so I don't imagine either of them would mind giving up this title to the other.

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A Taung tour

Fri, 2012-06-29 10:32 -- John Hawks

The South African Palaeocave Survey has a new post reporting on a visit to the Taung site:

We visited the Taung limeworks near the town of Buxton in the North West province. The site, which was designated a National Heritage Site in 2002 (see plaque photo), is quite large and was an active mine during the 1920s. It was later systematically excavated by paleoanthropologists from the University of California in the 1940s, and from the University of Witswatersrand between 1988 and 1992. Both the mining and excavations resulted in extensive dumps that surround the area of the site from which the skull is thought to derive. However, the exact location at which the skull was found can only be approximately reconstructed from mine records and historical documents – after all, it was only recognized after it arrived in Johannesburg in a wooden crate!

A couple of weeks ago, the project posted about a trip to "Wonderwerk Cave". This is an interesting blog to follow this summer.

Lacking knowledge

Tue, 2012-06-26 12:10 -- John Hawks

Sandra Blakeslee discusses a new book about the process of science: Ignorance: How It Drives Science, by Stuart Firestein ("To Advance, Search for a Black Cat in a Dark Room").

Dr. Firestein got the idea for his book by teaching a course on cellular and molecular neuroscience, based on a 1,414-page textbook that, at 7.7 pounds, weighs more than twice as much as a human brain. He eventually realized that his students must think that pretty much everything in neuroscience is known. “This could not be more wrong,” he writes. “I had, by teaching this course diligently, given the students the idea that science is an accumulation of facts.

“When I sit down with colleagues over a beer at a meeting, we don’t go over facts,” Dr. Firestein writes. “We don’t talk about what’s known. We talk about what we’d like to figure out, about what needs to be done.”

Lurking here is some insight about the process of deciding who gets to do what (and gets funded for it). To be willing to grant money to a project, there is a trade-off between admitting that the answer is unknown, and admitting that the process has a good likelihood of successful outcome. Ignorance has a dual role here: the grantor must admit a certain amount of ignorance, while the prospective grantee must define ignorance in an incredibly narrow way (and ideally demonstrate that it's not ignorance after all).

In some sense, becoming successful at funding your work requires solving an intricate communication problem where the subject is ignorance.

I'm a little concerned about the idea (mentioned in the review) of an entire semester-long course titled, "Ignorance". Don't the students get enough about ignorance after one or two class sessions?

A bold argument for mere consumption

Tue, 2012-06-26 11:29 -- John Hawks

I got passed along this article in the Chronicle of Higher Education, and it just keeps striking me as BS: "Just Because We're Not Publishing Doesn't Mean We're Not Working".

We have no concise term to describe what we spend much of our time doing. Our colleges are focused on scholarly products that can be peer-reviewed and published, but the reality is that many of us spend much of our time on being scholarly, not on producing scholarship. We are, and should be, consuming the scholarship of others. Consuming scholarship includes preparatory time for teaching but is much broader. We need a name for this ubiquitous activity. I offer "consumatory scholarship."

I suppose "consumatory scholarship" sounds better than "consumptive scholarship", mainly because it doesn't draw attention to the reality that it's the opposite of "productive scholarship"...

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Neandertal similarity in the HapMap samples

Mon, 2012-06-25 11:36 -- John Hawks

In my last installment on Neandertal introgression in present-day human samples, I covered whole genome data from the 1000 Genomes Project ("Which population in the 1000 Genomes Project samples has the most Neandertal similarity?". For the next few weeks I'll be releasing more of these comparisons, made with the help of my Ph.D. student, Aaron Sams.

Just to remind about our methods for comparing genomes, what we have done is to examine every base reported as a single nucleotide polymorphism by the 1000 Genomes Project. If the sequencing data had no errors, then this would be an account of every point mutation in the human genome. However, the data are imperfect in various ways, as I'll note below. Likewise, the Neandertal sequence data are imperfect in various ways.

Here's one of the 1000 Genomes Project comparisons, showing the histogram for pooled European, African, and Chinese samples. In this chart, the number of shared Neandertal derived SNP alleles is the x-axis, divided into bins of around 500. The y-axis is the number of individual genomes in the sample found in each bin. So on this chart, the largest number of European genomes (nearly 120) share very approximately 645,000 derived SNP alleles with the Vindija 33.16 genome.

Comparison of shared Neandertal derived variants in African, Chinese and European samples

I find it necessary to be very explicit about these charts, because after showing them to many people I know how easily they can be misinterpreted. It's natural to assume that they are bar charts, where higher y values mean more Neandertal. But with more than 2000 genomes to compare, a bar chart is really just noise. These histograms are much like bell curves, in which the shape of the distribution on the y-axis indicates the dispersion within the population of Neandertal shared alleles.

Percentages

Everyone is excited to find out what percentage of Neandertal ancestry people have. I'm hesitant to report percentages, because I think they are misleading on these data. There is some filtering hiding beneath the data. In particular SNP alleles that are found only in one individual ("singletons") are likely to be undersampled by the project's sequence analysis. Because gene variants that have introgressed from Neandertal populations tend to be rare in present-day samples, when we miss some rare alleles, this tends to reduce our estimate of Neandertal similarity. This bias in resequencing data should affect populations roughly in proportion to their Neandertal ancestry. Our comparisons of different populations are therefore likely to give the right order of Neandertal ancestry (e.g., Europeans more than Asians) but may underestimate the total fraction of ancestry by some amount. We are counting human SNP variants and not every base pair in the Neandertal genome data, so the effect of sequencing error in the Neandertals will be minimal, but nevertheless present in a small fraction of comparisons. These errors should be randomly distributed with respect to human population differences, but they also add noise that should decrease the accuracy of percentage estimates.

For another thing, we don't know where the zero point may be. Europeans have around 3 percent more than Yoruba; Yoruba (as I showed in the last post) have around a half percent more Neandertal similarity than Luhya in the 1000 Genomes Project sample. The Luhya are almost certainly not minimal for living people, in fact I would put some money against it. Since some Neandertal alleles have proceeded right up to high frequencies outside Africa, there has been ample opportunity during the last 30,000 years or more for other alleles to have spread into Africa.

Our conservative approach is to rely on comparisons of large samples of people, ideally hundreds, and to trust a comparison only when it achieves statistical significance in these samples. That still allows us to detect very slight excesses of Neandertal ancestry in some populations, because the data from hundreds of individuals is very strong evidence. But the overlap among populations is sometimes very extensive even if their means differ significantly.

Incomplete lineage sorting (ILS) is one pattern by which living people share alleles with Neandertals. ILS should be equally distributed among populations today, under the assumption that Neandertals and ancestral Africans stem from a single unstructured population. Obviously, Europeans and Asians share more derived SNP alleles with Neandertals than do Africans today, so we can strongly reject the hypothesis of isolation between African and Neandertal populations.

Given that, three patterns of evolution could have caused some populations to share more derived alleles with Neandertals than others.

1. Population structure in the ancestors of Africans and Neandertals may have caused some populations to share more ILS with Neandertals than others.

2. Continued gene flow between Neandertals and Africans could have spread Neandertal alleles into Africa and vice-versa.

3. Recent introgression from Neandertal populations into the ancestors of today's populations may have transferred new Neandertal alleles into recent humans.

These three processes actually overlap with each other. Very likely all three of them happened -- although to date, the descriptions of Neandertal genome data have accentuated the last and argued that the first two are relatively less important [1] [2]. A "new" allele in a Neandertal may actually have originated from a mutation more than a half million years ago, have been lost within ancient Africans, and transferred into today's Europeans when they encountered and mixed with Neandertals. We cannot tell these processes apart from the standpoint of any single SNP allele. Only by comparing many SNP alleles across many populations can we sort out their relative importance.

To this end, we have been comparing populations with each other and ancient Neandertals in many different ways. The 1000 Genomes Project has continued to sample and resequence many of the same samples that were initially amassed for the International HapMap Project. The HapMap was a project based on genotyping individuals with microarray technology. Genotypes are just as informative in many cases as whole-genome sequences. If you already know which genetic variations you want to examine, a microarray can save a substantial amount of wasted effort.

With Neandertal comparisons, we don't start out knowing in advance which genotypes will be useful. For this reason, genotyping data yields a potential bias when comparing to Neandertal or other human genomes. The microarray was designed to include genotypes that were already known to vary in some human population. With the HapMap, this bias tends to overrepresent the genetic variations in the initial HapMap samples -- generally, Utah residents of northern European descent, ethnic Yoruba people from Nigeria, ethnic Han Chinese from Beijing, and Japanese people from Tokyo. If these samples share some common derived SNP alleles with Neandertals, they will very likely be represented in the genotyping array. But very rare alleles won't be represented. And alleles that are uniquely in other populations -- such as East Africans or South Asians -- may not be represented, either. The bias is called "ascertainment bias" because it comes from the "ascertainment" of SNPs, or their initial discovery in some populations but not others.

It is possible now to find sets of SNP markers that have been statistically chosen to minimize ascertainment biases. The filters used in such comparisons are complex, and in some cases actually rely on the Neandertal genotype, so I haven't used them here. For our first paper we have focused on the whole-genome sequence comparisons, but here I'll give the same comparisons on some HapMap samples to show approximately where they fit. I will focus here on raw comparisons instead of standardizing them in terms of the predictive ability of informative SNPs on whole genome data. Finding the most informative SNPs is part of the process of sorting introgression from earlier population structure, and is rather more complex; I prefer to start with something very simple and visually easy to interpret.

South Asia

One interesting place is India. The HapMap includes a sample of Indian-Americans with origins in Gujarat, in western India. Here's a plot comparing the Gujarat ancestry (GIH) sample with the CEU and LWK samples:

Comparison of shared Neandertal derived variants in CEU, LWK and GIH samples

The GIH sample has substantially fewer shared Neandertal derived SNP alleles than the CEU sample. What may be more curious is that the GIH sample also has fewer than East Asians on average. The JPT+CHB samples, for example, exceed the GIH mean by around 100 derived SNPs.

Comparison of shared Neandertal derived variants in JPT+CHB, LWK and GIH samples

On a mean of more than 43,000, 100 is around a fourth of a percent, so it's not much -- and it may fall within the amount expected from ascertainment bias. It will be much more enlightening to have GIH whole genome data. In the meantime, we can probably confirm the picture from sequence data that indicates Europeans today have the highest degree of Neandertal ancestry.

East Africa

The situation within Africa is potentially very complex also. From sequence data, we were able to show that Yoruba (YRI) and Luhya (LWK) population samples have different numbers of shared derived Neandertal SNP alleles. The YRI sample in West Africa has significantly more Neandertal similarity than the LWK sample in East Africa. We speculate that this relation may reflect trans-Saharan gene flow, which has continued throughout history and prehistory.

Is this a question of east versus west in Africa? That might seem unlikely considering the extent of population movements into northeastern Africa and continued trade along the East African coast throughout historic time.

The HapMap includes a sample of ethnic Maasai people from Kenya, which allows us to provide another perspective on African variation. Here is the chart, compared to LWK and CEU:

Comparison of shared Neandertal derived variants in CEU, LWK and MKK samples

The Maasai have substantially more Neandertal similarity than Luhya, despite their present geographic proximity. In fact, the mean amount of Neandertal similarity in the Maasai is approximately the same as that in the ASW sample, which is composed of African-American ancestry people in the Southwest U.S.:

Comparison of shared Neandertal derived variants in CEU, LWK and ASW samples

You see immediately more dispersion in the African-American ancestry sample, because the mixture between African and European ancestors is more variable and much more recent than the events that gave rise to the Neandertal ancestry of Maasai people.

We speculate that there may have been a substantial amount of interaction in northeast Africa. Obviously this has been true in historic times, but the Maasai suggest that it may go back long before the origins of the present ethnic groups and their movements into this area. The present heterogeneity of Neandertal similarity in these populations suggests a really complex population history. Some of the present Neandertal similarity may derive from ILS within the ancient African population.

Probing assumptions

Of course my lab is not the only one presently engaged in comparing the archaic human genomes with recent populations. One of the reasons why we're pursuing a more open science strategy in our reporting is that different groups using different methodologies ought to converge on the same population history. Where we see different results, it's often an indication that the alternative approaches involve substantially different assumptions about the way ancient humans interacted. As we've probed more deeply into the data, we have confronted the reality that long-term population mixture between Neandertal and African ancestral populations is extremely difficult to rule out. Assuming that long-term interactions were impossible because Neandertals and Africans were completely isolated will probably lead to erroneous results. That makes it harder for us to clearly identify gene variants that came from Neandertals within the last hundred thousand years, as opposed to those shared with Neandertals via more ancient gene flow.

What makes long-term interactions seem more likely is that some of the Neandertal genomes seem to be more closely related to living people than others. More on that in my next installment.


References

"Asymmetrical characters"

Sun, 2012-06-24 12:39 -- John Hawks

In case you worry that paleoanthropology never casts off bad ideas, take a look at the intro to a review paper by Ernest Hooton in 1925 [1]:

Within the last few years the discoveries of new fossil forms of man and of the anthropoid apes have made it very obvious that the early range of the giant Primates was considerably more extensive than most anthropologists previously were willing to admit. A remarkable and indubitably ancient form of man has come to light in Northern Rhodesia. A precursor of the modern Australian man has been discovered at Talgai, Queensland, and Professor Dubois, the discoverer of Pithecanthropus erectus, has disclosed the fact that his Java finds included apparently Australoid human crania, the knowledge of which he imparts to his fellow-workers only after some two-score years of silence. A molar tooth from the Middle Pliocene deposits of Nebraska has been pronounced by distinguished authorities to be that of a new genus of anthropoid ape, and the face and endocranial casts of a young anthropoid ape, claimed by its discoverer to show humanoid characters, has just been recovered from the limestone at Taungs, Bechuanaland, South Africa. More than this, some of the most recalcitrant antagonists of the eolithic theory have recanted and admitted to the human origin of the Pliocene flints from the 16-foot level of the Foxhall gravel pit in England, thus acknowledging the existence of an implement-using Tertiary man.

Crazy. Whenever you hear people tell you about the resistance faced by people like Dart and Leakey to their early discoveries, remember the sheer amount of nonsense that passed for paleoanthropology in those days. It must have been a constant effort for scholars to sift the wheat from the windstorm of chaff. Most claims were extraordinary, and many of them contradicted each other.

Of course, many of my colleagues will be happy to rail at length against the nonsense that passes for science now. I note only one element of consistency -- it really hadn't been "two-score years of silence" for Dubois, but it had been more than 20. We seem to bump up against similar prolonged periods of secrecy fairly often.


References

  1. Hooton EA. The asymmetrical character of human evolution. American Journal of Physical Anthropology. 1925;8(2):125 - 141.

Reindeer hides and Neandertals

Sun, 2012-06-24 10:08 -- John Hawks

In reference to the post below about Quina Mousterian and reindeer specialization ("Paleoclimate and shifting Neandertal strategies"), let me add this great quote from Mark White. He addresses himself to the question of what kinds of strategies Neandertals employed against the cold of the MIS 4 winter in Britain and France.

Aiello and Wheeler hypothesize a very conservative 1 clo of insulation. The pelts of exploited Pleistocene mammals would have greatly exceeded this level (cf. Stenton 1991: 11), meaning that a clothed Neanderthal could have remained comfortable at temperatures far below those outlined above. Reindeer hides are particularly valued by modern arctic peoples because they are lightweight and their fur has excellent insulatory properties (clo value = 7: ibid.). The best time to procure reindeer hides is in the late summer, prior to the development of the heavy winter pelage and after the skin had repaired the damage caused by any summer parasites (ibid.: 6), which adds another interpretative dimension to the autumn mass killing of reindeer at Salzgitter-Liebenstedt (Gaudzinski and Roebroeks 2000); especially if Bocherens et al. (2005) are correct in their assertion that northern Neanderthals ate a lot of mammoth and rhino, but little reindeer (the reverse being true for hyenas). One wonders whether some species were targeted as much for their hides and sinews as for their meat value (see Burch (1998) for caribou), and whether the classic ‘scavenging’ pattern of heads and lower limbs found in Middle Palaeolithic sites is in fact a signature testifying to the preferential transport of hides away from the kill sites (cf. Chase 1986; Mellars 1996). Indeed, such patterns find obvious parallels in medieval tanneries (Serjeantson 1989; Gidney 2000). The broad association of scraper-rich Quina assemblages with colder environments and reindeer bones is highly suggestive in this regard (cf. Mellars 1996: 329; Dibble and Rolland 1992).

The quote is from another paper with an awesome title, "Things to do in Doggerland when you're dead" [1]. He adds that in Britain a a major limitation on Neandertals may have been the lack of wood -- not only for fire, but also for construction of long implements such as spears. The evidence for woodworking at some sites suggests they may have been located near stands of trees that persisted during the spread of periglacial steppes. All in all, it's a very interesting paper.


References

Paleoclimate and shifting Neandertal strategies

Sun, 2012-06-24 05:49 -- John Hawks

A new paper by Guillaume Guérin and colleagues in the Journal of Archaeological Science [1] provides a detailed chronology for the Neandertal site of Roc de Marsal (near Les Eyzies, France).

The paper includes an interesting discussion, which focuses on the emerging picture of Neandertal technological strategies to a changing climate. In short, during the middle of Marine Isotope Stage 4 (around 60,000 years ago), the regional environment in southwestern France shifted. Before this time, the Neandertals in the area made Denticulate and Typical Mousterian industries and hunted a variety of large fauna including red deer, roe deer, reindeer and horse. After the shift to a mix of steppe and some boreal forest, the Neandertals hunted mainly reindeer, some horse, and made Quina Mousterian tools. As they discuss, this picture is now consistent with the stratigraphies of many sites in the region that preserve Quina Mousterian:

In southwest France, Roc de Marsal Layers 7–9 are not an exception, as similar faunal patterns have been observed in other archaeological sites. It is striking to see that for sequences that span both Quina and Typical Mousterian, a number of similar features have been observed: first, Quina Mousterian layers are always on top of Typical Mousterian layers (Jaubert, 2010); second, Quina Mousterian is, in Dordogne, always associated with faunal remains dominated by reindeer; third, in the layers underlying Quina industries, fauna exhibits singular patterns combining “forest-adapted” (red deer and/or roe deer) and “cold open-air” species (reindeer).

There is some more in the discussion about the palynological record and other regional climate indicators. The meta-archaeological perspective would point out that this is a perfect synthesis of the Bordes-Binford debate: There really were different cultural groups of Neandertals and they really did use these technofacies for different activities. What was necessary is the kind of systematic comparison among sites that shows Quina Mousterian systematically overlying the Typical/Denticulate wherever they occur, along with the evidence of climatic and faunal change across sites.


References

What Technology Wants, apputated

Sat, 2012-06-23 10:40 -- John Hawks

On the ebook review site, Download the Universe, I have a new review of the app version of Kevin Kelly's book, What Technology Wants. The link to my review: "Telegraphing What Technology Wants".

Sure, humans are coevolving with technology. We've done so now for more than two million years. Does that make technology-enabled humans into a "new kingdom of life"? That fundamentally misrepresents what a "kingdom" means in biology. Kelly argues for a much more deterministic view of evolution than biologists accept, and worries about an impending population crash. His beliefs in these cases are not without basis, but stripped down to mere theses they utterly fail to convince. Meanwhile, the section on the Amish -- so characteristic of Kelly's approach to understanding the social role of technology -- seems out of place here in the app. Its deeper overall context has been lost.

So the app left me with a mental mismatch. As a reader who experienced both versions, I appreciated the synoptic view. It clarified my resistance to some of Kelly's ideas. Hopefully, many readers approaching the app for the first time will be motivated to investigate more deeply in the original book.

I think Kelly's ideas about the nature of technological change deserve more critical attention from anthropologists, who seem to be sitting on their thumbs when it comes to technofuturism. We are adapted to technology, and we continue to change under its influence. That process of adaptation left castoffs, so that today's humans are a limited subset of our past potential. I happen to think that subset is a pretty good one, but as the process of adaptation continues, will that still remain true? Or will we recover lines of potentiality that may have appeared closed in the past?

"Rewriting history in a way that flatters our volition"

Sat, 2012-06-23 10:25 -- John Hawks

Alex Stone, author of Fooling Houdini: Magicians, Mentalists, Math Geeks, and the Hidden Powers of the Mind, gives a short account of the psychological insights from magic tricks in the NY Times: "Your brain on a magic trick".

Such tricks suggest that we are often blind to the results of our own decisions. Once a choice is made, our minds tend to rewrite history in a way that flatters our volition, a fact magicians have exploited for centuries. “If you are given a choice, you believe you have acted freely,” said Teller, of the duo Penn and Teller, to Smithsonian magazine. “This is one of the darkest of all psychological secrets.”

The Times also reviews the book, here: "Fooling Houdini by Alex Stone".

Guinea pigs in experiment and history

Fri, 2012-06-22 08:09 -- John Hawks

Daniel Engber in Slate: "Test-Tube Piggies: How did the guinea pig become a symbol of science?"

The guinea pig's celebrity (and infamy) dates to the late 1800s and the sundry reputations of the early germ theorists. One by one, the major diseases of the time were reduced to their bacterial causes. Robert Koch, a country doctor working out of his cottage in Wollstein, Germany, identified the agents responsible for anthrax, cholera, and staphylococcus. He began by swapping sera from field mice, rabbits, monkeys, and guinea pigs, but the latter proved especially apt. Bred as a food source, guinea pigs were gentle, quiet, unperturbed by cages, and—by a fortunate coincidence, perhaps—prone to infectious disease. (You can give a Cavy full-blown tuberculosis with a single Mycobacterium tuberculosis, says TB researcher David McMurray.*) By the time he was named to a prestigious professorship in Berlin, Koch was using guinea pigs by the armful.

Sewall Wright became well-known for doing his genetic experiments with guinea pigs, in contrast to others who used much faster-reproducing Drosophila. Jim Crow used to tell the story about how Wright once absent-mindedly used a guinea pig as a chalkboard eraser, but I'm sure he never witnessed this; it was a well-known story.

Is "science literacy" a red herring?

Thu, 2012-06-21 15:22 -- John Hawks

In Slate, Daniel Sarewitz commits science communication heresy: "The Gambler and the Scientist".

I raise these points to challenge the idea of "science literacy." We have this belief that unless a person knows that the Earth rotates around the sun and that birds evolved from dinosaurs, she or he won’t be able to exercise responsible citizenship or participate effectively in modern society. Scientists are fond of claiming that literacy in their particular area of expertise (such as climate change or genomics) is necessary so “the public can make informed judgments on public policy issues.”

Yet the idea that we can say anything useful at all about a person's competence in the world based on their rudimentary familiarity with any particular information or type of knowledge is ridiculous. Not only is such information totally disembodied from experience and thus no more than an abstraction (and an arbitrary one at that), but it also fails to live up to what science ultimately promises: to enhance one's ability to understand and act effectively in a world of one’s knowing

Worth discussion. I generally agree with his points. The poll questions that purport to gauge "science literacy" tend to be proxy markers for politically salient markers such as evolution, or confusingly worded factual questions. These may be measuring something, but they are poor measures of people's real-world use of scientific concepts. I find that students come into my courses with a pretty sophisticated understanding of evolution. This understanding is in some predictable ways wrong, but it can form a base to learn deeper and more accurate information once I acknowledge and work with it.

Throwback to earlier dopes

Tue, 2012-06-19 19:06 -- John Hawks

In its continuing series of Olympics lead-ups, the Guardian enters this one: "Sports doping, Victorian style". The story covers the great scandal of coca leaf chewing and its effects on the study of protein in muscle.

Weston's other favourite tonic – which he thought more effective than coca leaves – was Liebig's Extract of Meat. By 1908 this was the familiar household brand Oxo, and Oxo was the official caterer of the 1908 Olympic Marathon. Runners were given it for free, with the organisers' blessing.

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Neandertals

For years, I've worked on their bones. Now I'm working on their genes. Read more about the science studying these ancient people.

Denisova

From a finger bone of an ancient human came the record of a completely unexpected population. My lab is working on the science of the Denisova genome.

Acceleration

The advent of agriculture caused natural selection to speed up greatly in humans. We're uncovering some of the ways that populations have rapidly changed during the last 10,000 years.

Malapa

Just outside Johannesburg, the Malapa site is producing some of the most exciting finds in human evolution. This site is the headquarters of the Malapa Soft Tissue Project.