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In week ended 5th January, the deadweight prime cattle average price levelled on the week at 365.0p/kg. read more
As domestic lamb continues to compete with increased volumes of cheaper imports and demand remains subdued, DW lamb prices eased in week ended 5th January. read more
World prices eased back towards the end of 2012 although remained at levels comparable to the same period in 2011. read more
Having shot to record levels during September and October, GB finished pig prices continued to rise in November and early December, albeit more slowly. read more
The GB weekly average price rose by £4.63/t to £227.93/t and the free-buy average fell by £4.45/t to £330.74/t. read more
Mid-January saw the release of much-anticipated information from the USDA in the form of world supply and demand estimates, US winter wheat plantings, final 2012 production estimates and quarterly stocks. read more
The USDA data set a bearish tone for oilseed markets with upward revisions to US and Brazilian crops. read more
UK malting barley export prices are at €245/t FOB (spring, South Coast) w/e 11th April. read more
The latest National Statistics produced by Defra on the activity of UK hatcheries and poultry slaughterhouses. read more
USDA’s latest quarterly stocks report, released on 28th September, estimated US maize stocks (at 1st September) at 25.1m t, down 12% on the same point in 2011 and the lowest since 2004. read more

 
Take5


Sequencing technology helps reveal what plant genomes really encode
Published 22 July 2012 - 18:02
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Scientists from the James Hutton Institute and the University of Dundee have teamed up with researchers in the USA to use a new technique to sequence the genes of the plant Arabidopsis. This approach, which allows researchers to see exactly where a plant’s genes end, could be applied to crops in the hope of boosting efforts to breed new varieties.

The Biotechnology and Biological Sciences Research Council (BBSRC)–funded team are the first in the world to try to understand how plant genes are organised by directly sequencing a molecule called RNA rather than DNA.  Their findings are published today in the journal Nature Structural & Molecular Biology.

The research involved collaboration between a team of biologists led by Dr Gordon Simpson of The James Hutton Institute and Dundee University, computational scientists led by Prof Geoff Barton at Dundee University and a technology group from Helicos Biosciences in the USA.

Dr Simpson explains “Many genes work by coding for proteins, but the path from DNA to protein goes via an intermediate molecule called RNA. By sequencing the RNA you can see exactly which bits of the genome make proteins and what genes are turned on in different cells and at particular times.

“Until now, people have sequenced RNA by first converting it back into DNA. They chop it up, add on special molecules and then because there is not enough, they copy the bits again and again, before finally sequencing. The trouble is that all these steps introduce bias and error. What’s special about what we have done is we have avoided all these steps and sequenced the RNA directly”.

This technique allows scientists to see exactly where genes end with unprecedented certainty. This is important for two reasons. Firstly it helps us find individual genes within genomes and so work out what they do. Second, it tells us something about how cells are behaving. Cells can choose where a gene should end depending on what the gene should be doing. For example cutting off genes at different points affects when a plant flowers. It has recently become apparent that these choices occur widely in biology: for example, there are global changes in where genes end in cancer tissue.

Dr Simpson continues “Using this technique we can unequivocally score where genes end, count how active genes are and say from which strand of the DNA double helix the RNA is copied. Surprisingly we found that genes that overlap each other account for a large fraction of gene activity. We also found new ends to thousands of genes and found genes that were completely new to us”.

The huge amount of data and the novelty of the procedure required new approaches from computational scientists in Dundee. Sasha Sherstnev, who did much of the analysis, comes from a background in particle physics and previously worked at CERN on the search for the Higgs Boson. He brought experience necessary to meet the demands accompanying the rise of large data sets in biology that are being driven by changes in sequencing technology.

As well as enabling scientists to understand what genomes actually encode and how active genes are, direct RNA sequencing could be especially useful for situations where only a few cells are available, for example when working with patient samples.

The Dundee team now plan to use their expertise to understand what other genomes encode and how that changes in disease. In this way, they can help deliver greater accuracy in rational crop improvement.

Professor Douglas Kell, Chief Executive, BBSRC, said “This is a great example of how mastering new techniques and embracing new ways of working can deliver valuable insights into biology. It will be interesting to see where this team directs their expertise next.”

 


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