Category Archives: Science Hooks

Brains suck the energy out of growing children

Did you know that babies take a long time to grow up because their brains use too much energy?

Humans are very slow to develop into adults compared to other animals.

One hypothesis is that slow body growth is due to the high energy demands of the brain.

This study performed MRI and PET scans of 29 people ranging in age from birth to adolescence.

Peak glucose use by the brain was at ~4-5 years of age, accounting for 43% of daily energy requirements. Twice as much as an adult.

This is also the time when the body has the lowest rate of weight gain.

This suggests the brain dominates energy requirements early in life at the expense of body growth, explaining why human children grow so slowly.

It drives the neuronal plasticity (restructuring of the brain) that is critical for learning and memory in children.

 

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Background

Humans grow from babies to adults very slowly compared to other animals, even primates.

Humans also have large and highly developed brains.

Hypothesis: high energy demands of the growing brain during childhood/adolescence restricts the growth of the body. The body then has a ‘growth spurt’ in late adolescence, after brain growth slows down.

Materials and Methods

This study analysed MRI (magnetic resonance imaging) and PET (positron emission tomography) scans of the brains and body of 29 people ranging in age from birth to adolescence. MRI measures sizes and dimensions of tissues, while PET measures glucose/energy use.

Results

Brain usage of glucose peaks at ~4-5 years of age, accounting for 43% of daily energy requirements (167g per day in males, 146 in females).

This is also the time when the body has the lowest rate of weight gain.

Glucose use is highest in the cerebrum (e.g. cortex, top part of the brain that does the calculation, planning, higher order functions).

Adult brains use half as much glucose as 4-5 year olds, despite being much bigger.

Discussion

The brain dominates energy requirements early in life at the expense of body growth, explaining why human children grow so slowly.

During development, there is an inverse relationship between brain energy/glucose use and body size.

Not all of the glucose is used by the growing brain for energy. Up to 30% is used for synaptic growth and rearrangement. This neuronal plasticity (restructuring of the brain) is particularly high during childhood and is critical for learning and memory.

Slow growth of human baby’s bodies (to prioritise the brain) first evolved in Homo erectus at least 1.5 million years ago.

In contrast, Neanderthals grew more rapidly but their brains weren’t as developed.

Future Directions

29 people is a rather small cohort from which to draw solid conclusions, so further studies using more people are required.

Ideally, it would be best to measure the same people as they age (longitudinal study), although this is a very long-term project.

Article

Metabolic costs and evolutionary implications of human brain development

Kuzawa et al., 2014 Proc. Natl. Acad. Sci. USA 111:13010-5

Keywords

Brain, neuron, synapse, cerebrum, cortex, learning, memory, plasticity, development, children, baby, adolescent, adolescence, glucose, energy, MRI, PET, scan

Subject

Science, Biology, ST1-10LW, ACSSU030, ST2-10LW, ACSSU072, ST3-10LW, ACSSU043, SC4-14LW, ACSSU150, SC5-14LW, ACSSU175

Biggest dinosaur ever discovered

Did you know the biggest ever dinosaur was recently discovered in Argentina?

It was 26m in length and weighed 60 tons.

One vertebra is 1.13m, its humerous is 1.6m and its femur is 1.91m.

This specimen lived around 77 million years ago and died in a flood, but was still growing when it died (i.e. not yet full size).

It was named Dreadnoughtus after the massive battleships of the early 20th century that were impervious to attack (like the dinosaur).

Even though it’s massive, it still isn’t as big as a blue whale (~100 tons).

 

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Background

The largest dinosaurs are a special group called Titanosauria.

These are the largest land animals ever.

In 2013, bones from a new species called Argentinosaurus were discovered in Northern Argentina and thought to be the biggest dinosaur.

However, a new species have just been discovered.

Materials and Methods

Archaeologists from the USA and Argentina were digging in the Southern Patagonia region of Argentina. The bones are now kept in a museum in Rio Gallegos, Argentina.

Results

The skeleton belongs to a new species of vegetarian Titanosaur named Dreadnoughtus.

It was named after the massive battleships of the early 20th century that were so large, they were virtually impervious to attack, like this dinosaur.

45% of its bones were recovered (70% excluding the head), which is far more than other specimens of titanosaur (e.g. only 5% of Argentinosaurus).

It lived around 77 million years ago and died in a flood.

One vertebra is 1.13m, its humerous is 1.6m and its femur is 1.91m.

Using these measurements (humeral and femoral circumference), the animal is calculated to be 26m in length and weigh 60 tons. Larger than Giraffatitan (34 tons) and Diplodocus (15 tons).

It is stated on pg.6 of the journal article that Dreadnoughtus had ‘robust pubes’ (not clear what this means).

Discussion

It is possible that the rival species Argentinosaurus could grow to be more than 60 tons, however this is based on only a handful of bones.

The skeleton discovered for Dreadnoughtus is far more complete.

Furthermore, this specimen was still growing when it died.

Therefore, Dreadnoughtus is presently the largest dinosaur.

However, it is still not as big as a blue whale (~100 tons).

Future Directions

Only one animal of Dreadnoughtus and Argentinosaurus has so far been discovered. Further skeletons (and more complete) will help resolve the issue of which is biggest.

Article

A gigantic, exceptionally complete titanosaurian sauropod dinosaur from southern Patagonia, Argentina

Lacovara et al., 2014 Scientific Reports 4:6196

Keywords

Dinosaur, sauropod, titanosaur, Dreadnoughtus, Argentinosaurus, archaeology, archaeologist, bone, skeleton, history, whale, animal

Subject

Science, Biology, Archeology, ST1-10LW, ACSSU017, ST2-11LW, ACSSU073, ST3-10LW, ACSSU043, SC4-14LW, ACSSU111, SC5-15LW, ACSSU185

Science improves the penalty shootout

Did you know that sporting clubs are using scientific methods to increase their success rates? After all, success in professional sport is big business ($ millions).

This study analysed video replays of 361 kicks in 37 penalty shootouts at Soccer World Cups to identify predictable behaviours of kickers and goalkeepers.

For each kick, there was an equal chance of the kicker kicking left or right, the goal keeper diving left or right, and the keeper diving in the correct direction (i.e. same as chance).

However, if kickers repeatedly kicked in the same direction, the keeper was more likely to dive in the opposite direction.

This is known as ‘gambler’s fallacy’; the incorrect belief that a run of kicks in the same direction increases the likelihood of the next kick going in the opposite direction.

Rather, it is always a 50:50 chance, independent of previous results.

Kickers should act as a team to exploit this belief and increase their scoring success in penalty shootouts.

 

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Background

Scientific methods and data analysis can be applied to multiple aspects of life to improve outcomes.

Improving success of professional sporting teams is big business.

For example, a missed penalty by Louis Saha in Manchester United’s loss to Celtic in the 2006 FIFA Champions League is estimated to have cost the club 15 million pounds in lost revenue.

Therefore, sports are using scientific methods to maximise success.

Materials and Methods

This study analysed video replays of 361 kicks in 37 penalty shootouts at World Cups between 1976 and 2012 (36 year period). They recorded the direction of the kick and direction the goal keeper dived.

It was assumed the keeper does not have enough time to observe and react to the kick, but instead anticipates (guesses) which way to dive before the ball is kicked.

Results

For each kick, there was an equal chance of the kicker kicking left or right, the goal keeper diving left or right, and the keeper diving in the correct direction (i.e. same as chance).

However, if kickers repeatedly kicked in the same direction, the keeper was more likely to dive in the opposite direction.

This is known as ‘gambler’s fallacy’; the incorrect belief that in a random binary event, a run of the same result will increase the likelihood of the opposite result (e.g. 3 coin tosses of heads in a row increases the likelihood of the next being a tail).

Instead, each event has an equal chance (50:50), independent of the previous result.

Kickers on the other hand do not display ‘gambler’s fallacy’.

Discussion

Goal keepers are more predictable than the kickers (gambler’s fallacy).

The kickers currently behave as individuals, but if they took a team approach to exploit the keepers belief in ‘gambler’s fallacy’, this could increase scoring goals in penalty shootouts.

It is already tough being a goal keeper. There are multiple kickers in a penalty shootout but only one keeper and the kickers usually score. This knowledge would just make it worse for them.

Article

Asymmetric predictability and cognitive competition in football penalty shootouts

Misirlisoy and Haggard, 2014 Current Biology 24:1918-22

Keywords

Mathematics, statistics, data, analysis, sport, football, soccer, goal, keeper, kick, kicker, video, sport, chance, gambler

Subject

Science, Mathematics, Statistics, ST2-15I, SC4-15LW, ACSHE119, ACSHE134, SC5-15LW, ACSSU184

Forget two heads, newest Tasmanians have mushroom heads

Did you know a brand new type of animal was recently discovered off the coast of Tasmania?

All life forms on Earth are categorised using the taxonomic ranking system.

However, this new animal doesn’t fit into that system.

Dendrogramma look like tiny mushrooms with a stalk (1-2cm) and a disc (0.4-0.8cm).

They can’t swim, so they probably just float about.

They have a single mouth at the end of the stalk that captures food (microorganisms) and expels waste (eats and poos out the same mouth).

It’s possible they are a missing link between cnidarians (corals, jellyfish) and ctenophores (comb jellies), or descendants of Ediacara that were thought to have died out 600 million years ago.

Either way, they are a new type of animal never seen before.

 

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Background

All life on Earth is categorised in a taxonomic ranking system.

i.e. Domain, Kingdom, Phylum, Class, Order, Family, Genus, Species.

Humans are categorised as: Eukaryota, Animalia, Chordata, Vertebrata, Mammalia, Primates, Hominidae, Homo, Sapiens

All animals fit into this taxonomic ranking system.

However, a new animal has just been discovered that doesn’t.

Materials and Methods

The Australian National Facility Research Vessel ORV Franklin dragged an epibenthic sled (cage) to collect samples from the ocean near Tasmania at depths of 400m and 1000m. This was performed in 1986, but it wasn’t until much later these unidentified life forms were discovered in these samples following sorting using sieves.

Results

Two closely-related species of animal were discovered that do not fit into current taxonomic categories.

These have been called Dendrogramma.

These animals look like mushrooms with a stalk (1-2cm) and a disc (0.4-0.8cm).

They can’t swim, so they probably just float about.

They have a single mouth at the end of the stalk that captures food (microorganisms) and expels waste (eats and poos out the same mouth).

Their closest relatives are cnidarians (corals, jellyfish), ctenophores (comb jellies) and an extinct group of animals called Ediacara that lived around 600 million years ago.

Discussion

The Ediacara, cnidarians and ctenophores are amongst the earliest and most simple forms of multicellular life.

The Ediacara is suggested to be a ‘failed experiment in multicellularity’, early in the evolution of life on Earth.

Perhaps it didn’t fail. Perhaps the Dendrogramma discovered here are actually descendants of the Ediacara.

Or they could be a missing link between cnidarians and ctenophores.

Future Directions

The genome of Dendrogramma will be sequenced and compared to other animals to determine if they are descendants of Ediacara or an entirely new type of life form.

This could not be performed here, because the specimens were treated with formalin and alcohol, which prevents genomic sequencing.

Article

Dendrogramma, new genus, with two new non-bilaterian species from the marine bathyal of southwestern Australia (animalia, metazoan incertae sedis)–with similarities to some medusoids from the precambrain edicara

Just et al., 2014 PLoS One 9:e102976

Keywords

Animal, taxa, taxonomic, species, phylum, kingdom, class, ocean, Tasmania, Australia, extinct, multicellular, mushroom

Subject

Science, Biology, Zoology, ST1-10LW, ACSSU017, ST2-10LW, ACSSU044, ST3-10LW, ACSSU043, SC4-14LW, ACSSU111, SC5-15LW, ACSSU185

All diets are equal, as long as you stick to it

Did you know that most ‘fad/celebrity’ diets work, as long as you stick to them?

Diets and weight loss are a multi-billion dollar industry.

Aggressive marketing campaigns claim that each of them is the best.

So which one is the best?

This study compared 11 different branded diets and showed that all of them successfully reduced weight.

Most importantly, there was very little difference between the diets.

Basically, people should choose the most convenient diet for their lifestyle and stick to it!

 

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Background

There are many diets available to aid weight loss and improve health.

Diets and weight loss are a multi-billion dollar industry.

Aggressive marketing by many companies claim they are the best.

So which one is the best? Which one should people choose?

Materials and Methods

This study analysed data from 48 randomised clinical trials comparing 11 different diet brands (meta-analysis). This involved 7,286 people with an average age of 46, weight of 94kg and BMI of 33.7 (body mass index; weight ÷ height; obese >25). The diet lasted for 6 months and their weight was measured 6 and 12 months later.

Results

All diets successfully reduced weight compared to no diet (control).

All diets lost around 8-9kg at 6 months.

Slightly regressed at 12 months, adding 1-2kg of weight back on.

The most effective was the Atkins diet; ~10kg lost at 6 months.

Behavioural support and exercise helped weight loss, contributing ~3.67kg and ~1.15kg, respectively.

Most importantly, differences between diets were very small, therefore essentially equal.

Discussion

People who want to lose weight should choose the easiest or convenient diet with the least amount of challenges and stick to it.

They should also supplement the diet with behavioural support and exercise to maximise weight loss.

Future Directions

Since weight loss regressed from 6 to 12 months (added 1-2kg back on), future studies should include even longer time points to address long term weight management.

Article

Comparison of weight loss among named diet programs in overweight and obese adults

Johnston et al., 2014 Journal American Medical Association 312:923-33.

Keywords

Diet, calories, food, weight, body, BMI, exercise, obesity, diabetes, fat, meta-analysis, Atkins

Subject

Science, biology, ST1-10LW, ACSSU030, ST2-11LW, ACSSU073, ST3-11LW, ACSSU094, SC4-14LW, ACSSU150, SC5-14LW, ACSSU175

Genetic diversity related to number of babies

Did you know that species with lots of babies have greater genetic diversity?

Evolution is in large part driven by changes to DNA (genetic diversity).

This helps species adapt to changes in the environment and survive.

Are all species able to adapt at the same rate? Do they all have the same genetic diversity?

This study sequenced the genomes of 76 different animal species and compared their genetic diversity.

Genetic diversity was highest in animals that have lots of offspring that don’t depend on their parents to survive.

In contrast, animals that have low numbers of offspring that depend on their parents to survive have low genetic diversity (e.g. humans).

This means if there are lots of offspring, the species can afford to experiment with diverse genomes, with the fittest surviving. However if there are only a few offspring, it is best to stick close to a genome that is known to be successful (i.e. its parents).

 

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Background

Evolution is in large part driven by changes to the DNA/genome.

The DNA doesn’t change in the adult, but when it is passed onto its offspring.

These random changes (genetic diversity) are beneficial, because they help a species adapt to changes in the environment (i.e. survive).

In contrast, low genetic diversity makes species vulnerable to extinction. For example, endangered species with only a few breeding pairs have very low genetic diversity. If they are challenged (i.e. infectious disease), they can all die.

Do all animals have the same amount of genetic diversity? Do their genomes change/evolve at the same rate?

Materials and Methods

The transcriptomes (RNA transcripts) of 76 different animal species (2-10 individuals per species, total = 374) were sequenced using RNA-seq (sequences RNA instead of DNA). mRNA is the intermediate between gene and protein. Other RNAs were also sequenced.

Results

Genetic diversity (changes in DNA/genome) was highest in the slipper shell (medium-sized sea snail) (8.3%).

Lowest in the subterranean termite (0.1%).

Genetic diversity is not related to geography (where the species lives).

However, it is related to species size (big), lifespan (long), offspring quantity (fecundity, high) and quality (propagule size, low).

It is most highly associated with propagule size, which is the size/stage of offspring when they leave their parents (egg or juvenile).

There is an inverse correlation between genetic diversity and parental investment in their offspring.

Ants, bees, termites, turtles, seahorses, mammals and birds have high parental investment and low genetic diversity.

Mussels, sea urchins and starfish have low parental investment and high genetic diversity.

Discussion

Genetic diversity is high in animals that have lots of offspring that are able to survive on their own without parental help. Here, the species can experiment with many different genomes, with only the fittest surviving.

For species that have high parental investment into a small number of offspring (e.g. humans), it is too risky to experiment with dramatic changes to the genome. Instead, it is safer to stick close to a genome that is proven to be successful. That is, if the parent survived to adulthood, then it is likely that the offspring will as well.

This was the first study to compare the genome and genetic diversity between many different animal species.

Article

Comparative population genomics in animals uncovers the determinants of genetic diversity

Romiguier et al., 2014 Nature 515:261-3

Keywords

Gene, genome, genetic, DNA, polymorphism, mutation, animal, species, diversity, offspring, evolve, evolution, sequence, sequencing

Subject

Science, Biology, Genetics, Evolution, Zoology, ST3-10LW, ACSSU043, SC4-14LW, ACSSU150, SC5-15LW, ACSSU185

Genes control the timing of girl’s first periods

Did you know that genes control the age that girls have their first period?

A huge study was conducted by 166 institutions from around the world that analysed the genome/DNA sequences of over 180,000 women.

They identified 106 regions of the genome (loci) that affect the timing of puberty/first period in girls.

This includes several genes that regulate the production of hormones (e.g. oestrogen) and body weight.

This makes sense, because it is well known that hormones and body size strongly influence the timing of puberty. It emphasises the complex interplay between genes and environment (nature v’s nurture).

It might be possible in the future to sequence these 106 regions to predict when girls will have their first period. Would this be useful?

 

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Background

Virtually all of aspects of our bodies are controlled by a mixture of genes and environment (i.e. nature v’s nurture).

Girls begin puberty and get their first period (menarche) between 10-15 years of age (average 12-13).

Do genes influence the timing of the first period in girls?

Materials and Methods

A large collaboration involving scientists at 166 institutions from around the world analysed the genomes of 182,416 women of European descent (i.e. Caucasian) and correlated specific genes and regions of the genome with the onset of puberty.

Results

This huge study identified 106 genomic loci that are associated with the onset of menarche/puberty in girls.

That is, specific sequences/differences in the DNA at 106 regions of the genome that affect the timing of the first period.

These regions can be inside genes, near genes or in between genes.

Usually, they affect the expression of a gene or the activity/function of the protein it produces.

Each of these DNA sequences/loci has only a weak affect on period timing, however when several are combined, they have a stronger affect.

29 of the loci/genes affect the production of hormones (e.g. oestrogen), 9 affect body weight and 3 affect height. This makes sense, because it is well known that body size strongly influences the timing of puberty.

Discussion

It might be possible in the future to sequence these 106 regions to predict when girls will have their first period (approximate timing).

While this study focuses on the genetic influence on puberty/period timing, there are clearly also environmental factors that contribute.

Interestingly, several genes associated with body size were identified in this study. Size/weight is also strongly affected by diet and lifestyle, thus emphasising the complex interplay between genes and environment.

Article

Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

Perry et al., 2014 Nature 514:92-7

Keywords

Gene, genetic, genome, DNA, sequencing, loci, locus, GWAS, puberty, period, menarche, adolescence, development, hormone, oestrogen, weight, body, nature, nurture

Subject

Science, Biology, Genetics, SC4-14LW, ACSSU150, SC5-15LW, ACSSU184

Top fuel fish drives up prices

Do you know why some fish are more expensive to buy than others?

It’s largely due to the amount of diesel fuel used by fishing vessels to catch them.

Robert Parker from the University of Tasmania analysed fuel records of over 1,600 fishing boats from around the world to determine which seafood requires the most diesel fuel (hence most expensive).

The most fuel efficient (least amount of diesel) are the pelagic (surface water) fish, such as anchovies, sardines and tuna.

The least fuel efficient are crustaceans, such as prawns and crayfish which use ~100 times more diesel than pelagic fish.

High diesel use is mostly due to dragging heavy nets and travelling long distances out to sea to catch the fish.

Seafoods that use the most diesel and produce the most greenhouse gases tend to be the most expensive to buy.

 

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Background

Seafood is the most heavily traded commodity in the world.

It employs ~260 million people and is worth ~US$100 billion annually.

It contributes ~17% of animal protein consumption in the world.

Many species are expensive because of high costs of catching them.

The largest cost is diesel needed to drive the fishing vessels (30-50%).

So which types of seafood need the most diesel?

Materials and Methods

Robert Parker from the University of Tasmania analysed fuel records of over 1,600 fishing vessels from around the world since 1990 and matched them to the type of seafood caught (meta-analysis).

Results

The order of diesel-efficient seafood species are (most to least):

  • Small pelagic fish (e.g. anchovies, sardines, mackerel)(average 71 L diesel per tonne fish). Easily caught in light surrounding nets not far from shore, therefore boats don’t need to travel far).
  • Large pelagic fish (e.g. tuna)(434 L/t). Caught using light surrounding nets but need to travel further out to sea.
  • Molluscs (e.g. scallops)(525 L/t). Scooped up in heavy dredges.
  • Salmon (886 L/t). Trolling with hook and line over long distances.
  • Flatfish (e.g. sole, flounder)(2827 L/t). Trawlers drag a heavy metal beam along the sea floor to disturb the flatfish and catch them in a net. Uses a lot of fuel.
  • Crustaceans (e.g. prawns, lobster)(2923 L/t). Uses heavy pots, traps and trawls. Boats travel large distances for these relatively scarce species. Especially inefficient in Oceania (~4,000 L/t).

Discussion

Diesel fuel efficiency has improved over the past 2 decades, mostly due to fish stocks recovering from previous over-fishing (laws introduced to protect them), meaning that boats don’t have to travel as far out to sea.

Seafood is far more fuel efficient and has less greenhouse gas emissions than beef production, which is by far the most energy demanding and worst for the environment.

Article

Fuel consumption of global fishing fleets: current understanding and knowledge gaps

Parker and Tyedmers, 2014 Fish and Fisheries (DOI: 10.1111/faf.12087)

Further Reading

See BOSH – Cows are worst livestock for the environment for a comparison of greenhouse gas emissions for different types of livestock.

http://bosh.net.au/cows-are-worst-livestock-for-the-environment/

Keywords

Seafood, fish, mollusc, crustacean, ocean, sea, marine, fishing, boat, vessel, trawl, trolling, trawler, prawn, lobster, crayfish, greenhouse, gas, emission, climate, diesel, fuel, energy

Subject

Science, Agriculture, ST1-11LW, ACSSU211, ST1-9ES, ACSSU032, ST2-11LW, ACSSU073, SC4-15LW, ACSSU112, SC5-14LW, ACSSU176

King Richard III: The hunch that loved lunch

Did you know that when the bones of King Richard III were discovered under a carpark and chemically analysed, it revealed he stuffed his face with food and wine until he died?

King Richard III ruled England for just over 2 years before dying in battle in 1485 at the age of 30.

Incredibly, his remains were accidently discovered underneath a carpark in Leicester, England in 2012 when it was being redeveloped.

This study performed an isotopic analysis of his bones and teeth to determine his diet, geographical movements and lifestyle.

The results indicate that when he became King, Richard III used his position to stuff his face with rich foods and wine.

This is the first study to use oxygen isotope analysis to identify archaeological drinking habits.

 

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Background

King Richard III ruled England for just over 2 years before being killed at the age of 30 at the Battle of Bosworth in 1485 (last battle of the War of Roses and the middle ages).

He has a controversial reputation due to the suspicious disappearance of his 2 nephews (princes in the tower) and Shakespeare’s unflattering play (Richard III).

There are reports he had a withered arm and limp (either fabrications or gross exaggerations), although it is accepted he had scoliosis of the spine, making him stoop.

Incredibly, his remains were accidentally discovered underneath a carpark in Leicester, England when it was being redeveloped in 2012.

The skull had injuries consistent with battle wounds and the spine was curved with scoliosis.

Materials and Methods

This study performed an isotopic analysis of bones and teeth to determine the diet, geographical movements and lifestyle of Richard III.

Analysing different bones/teeth gives a life history of the subject:

1) Teeth are formed during childhood and don’t remodel (change).

2) Femur (thigh) bone does remodel but quite slowly and represents the

period ~10 years before death (late adolescence for Richard III).

3) Rib bones remodel faster, representing 2-5 years before death (adult).

Different isotopes give different indications:

1) Strontium is a measure of diet and geographical location.

2) Oxygen is a measure of ingested liquids (drinks).

3) Nitrogen and carbon is a measure of diet.

Results

Strontium and oxygen isotopes suggest that Richard III spent his teenage years in Wales (or close by), which was not previously clear.

Nitrogen and carbon isotopes suggest he feasted on high trophic level foods (e.g. freshwater fish, wildfowl, swans) late in his life when he became King. These were delicacies only for the very rich.

Oxygen isotopes indicate he drank a lot of wine in his last few years.

Discussion

This is the first study to use oxygen isotope analysis to identify archaeological drinking habits.

Altogether, this study indicates that when he became King, Richard III used his position to stuff his face with food and wine.

Article

Multi-isotope analysis demonstrates significant lifestyle changes in King Richard III

Lamb et al., 2014 Journal of Archeological Science 50:559-65

Keywords

Chemical, isotope, archaeology, history, corpse, forensic, bone, teeth, King, Richard III, England, monarch, diet, lifestyle, scoliosis

Subject

Science, Biology, Chemistry, Archeology, ST1-12MW, ACSSU018, ST3-13MW, SC4-16CW, ACSSU152, SC5-16CW, ACSSU186

City spiders are fatter than country spiders

Did you know that golden orb spiders in cities are bigger and healthier than country spiders?

Researchers from the University of NSW compared city versus country spiders to determine the effect that urbanisation has on them.

Spiders from Sydney were larger and had better reproductive health than rural spiders.

In fact, the more densely populated the site, the bigger and healthier they were.

Wealthier suburbs have larger and healthier spiders, although it is not clear why (possibly associated with better park/garden management).

Big and healthy spiders are good for urban food chains/ecosystems because they control pest insects and are good food for birds.

This is an example of how human urbanisation of natural landscapes is good for some species (although it’s usually bad for most others).

 

Do you want more information?

Background

Human overpopulation and urbanisation alters natural landscapes and ecosystems.

Many plant and animal species suffer, while others thrive.

What happens to the golden orb spider?

This species is relatively large, common in Australia and builds semi-permanent webs that they remain in for their whole life.

They have an important position in the food chain, since they control pest insects and are themselves food for many bird species.

Researchers from the University of NSW compared city versus country spiders to determine the effect that urbanisation has on them.

Materials and Methods

Golden orb spiders were collected from sites in Sydney and rural NSW (average 11 spiders per site, total of 222). Size was inferred from the length of the tibia (leg bone), while health was inferred from the ratio of weight to size (fatness). Reproductive health was inferred from the weight of ovaries (indicates bigger eggs and more of them). NOTE that ovaries were analysed in only 29 female spiders (small number), so conclusions on reproductive health should be taken with caution.

Results

Spiders from Sydney were larger and had better reproductive health than rural spiders.

The more densely populated the site, the bigger and healthier they were.

The spiders preferred concrete and metal environments over vegetation because of the ‘heat island effect’ (they heat up and increase the ambient temperature – the spiders prefer warm climates). Also, there is an abundance of insects in the city for them to eat, partly due to food waste from humans and artificial street lighting at nights.

Wealthier suburbs have larger and healthier spiders, although it is not clear why (possibly associated with better park/garden management).

Discussion

Big and healthy spiders are good for urban food chains/ecosystems because they control pest insects and are food for birds.

Article

Urbanisation at multiple scales is associated with larger size and higher fecundity of an orb-weaving spider

Lowe et al., 2014 PLoS One 9:e105480

Keywords

Food chain, food web, ecosystem, environment, urban, rural, Sydney, NSW, Australia, spider

Subject

Science, Biology, Zoology, ST1-10LW, ACSSU017, ACSSU030, ST1-11LW, ACSSU211, ST2-11LW, ACSSU073, ST3-11LW, ACSSU094, SC4-15LW, ACSSU112, SC5-14LW, ACSSU176