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We’re Probably Not Mostly Microbes
- Dylan16807 11y ago>It’s also debatable if cell totals is a useful metric. After all, Milo's calculations show that 90 percent of human cells are red blood cells, which don't contain DNA and aren’t capable of dividing. They’re rather poor excuses for cells—remove them from the equation and the 10:1 ratio reinstates itself. So all that and it says the ratio might be perfectly correct when you only count proper cells. Great. I want to hear where the 724 trillion number came from.
- Rexxar 11y agoI don't understand the interest of such discussions about cell count in human body (scientifically or even philosophically). It seems a meaningless metric to me.
- DanBC 11y agoPeople love factoids and this is a zinger of a factoid. "Hey, you aren't mostly you, you're mostly GERMS". The calmer versions are hooks to get people interested in popular science articles about gut flora, and the different bits of research that are happening.
- robotmagician 11y agoI think there are pretty important implications of cell counts. It is probably more apparent if we look at the brain - it has been pretty important to evolutionary biology to study not only the whole number of brain cells but also the proportion that are neurons and the proportions that are other, supporting cells. Similarly, it matters how many cells there are in a particular region of the brain when we ask the question - how did this region evolve to be of this size? If this piques your curiosity I'd recommend Suzana Herculano-Houzel's work - either her popular TED talk ( https://www.ted.com/talks/suzana_herculano_houzel_what_is_so_special_about_the_human_brain https://www.ted.com/talks/suzana_herculano_houzel_what_is_so... ) or this kind of paper if you want to take a deep dive ( http://journal.frontiersin.org/article/10.3389/fnana.2014.00077/abstract http://journal.frontiersin.org/article/10.3389/fnana.2014.00... ) << should be open access. Getting accurate measurements of the numbers of cells gives us a good idea of the number of divisions required to produce them, and could also be used in normalizing cancer risk across organisms. Measurements of types of cells in a tissue give us an idea of the magnitude of the signaling / secretion events from these cells.
- Ensorceled 11y agoI find the number very useful when talking about anti-bacterial soaps, anti-biotic abuses, etc. with less educated acquaintances and family members. It is an eye opener for many people to find out that you NEED untold billions of bacteria to live a healthy life.
- lutusp 11y ago> It seems a meaningless metric to me. It matters to people who think of bacteria as foreign invaders, as "not-self". It can be seen as a modern version of the debate about the location of the hypothetical soul -- you know, people have souls, but dogs and bacteria don't.
- mdolon 11y ago>Which gives a ratio that can best be expressed as ¯\_(ツ)_/¯. A bit unrelated but I found it amusing the author used an emoticon in a magazine article (a reputable magazine, at that). Even more interesting, if you search for "I don't know emoticon" the first result on Google is an article from The Atlantic on the subject: http://www.theatlantic.com/technology/archive/2014/05/the-best-way-to-type-__/371351/ http://www.theatlantic.com/technology/archive/2014/05/the-be... And while facts like the cell to microbe ratio may be useless for most in terms of practicality (as someone else mentioned), for me they are not only interesting but instill the same sense of wonder as knowing that there are ~100 billion stars in the Milky Way. Definitely makes you think about the scale of numbers, if nothing else.
- refurb 11y agoNon-scientists would be surprised how often this happens in science. Take a really hard question and some scientist will do their best to come up with an estimate. That part is fine. The problem is when other scientists do literature searches, find the "answer" then base their entire work off of it. Every scientist after that does the same thing and suddenly a wild-ass-guess becomes fact. A great example is in epidemeology. I work in biotech and many of our forecasts are based on epi data. I remember one time when someone questioned a numbered, so our epi team did some work. The number was the only estimate available, but it turned out to come from a paper from the 1700's that looked at the prevalence of this disease in orphan children in some small Frech town. We would have been better off just guessing. This happens a lot.
- chris_st 11y agoThe problem is when other scientists do literature searches, Then the next problem is that journalists find something interesting and publish it as fact, and so both laymen and scientists are lead astray.
- biomcgary 11y agoMany, maybe most, of the wilder claims in science (by scientists) are made to bring attention and funding to a field. Science journalists are often happy to join in because surprising results sells more papers and ads. As fundamental discoveries are made, future work tends to be more peripheral, even if important. For example, microbiomes clearly influence the host organism, but the discoveries in this field are not on par with understanding the structure/function of DNA. Germ-free mice are recognizably mice, DNA-free mice are not.