Spanish researchers study one of the largest databases of neuronal types

An international collaboration between the Institute Cajal in Madrid, Spain, and George Mason University in Virginia, USA maps critical measurements of activity in vivo to more than 120 types of neurons from the brain region responsible for autobiography

The study, which is published in the journal PLOS Biology, represents the most comprehensive mapping performed to date between the neural activity recorded in vivo and identified neuron types. This major breakthrough may enable biologically meaningful computer modeling of the full neuronal circuit of the hippocampus, a region of the brain involved in memory function.

Circuits of the mammalian cerebral cortex are made up of two types of neurons: excitatory neurons, which release a neurotransmitter called glutamate, and inhibitory neurons, which release GABA (gamma-amino butanoic acid), the main inhibitor of the central nervous system. "A balanced dialogue between the 'excitatory' and 'inhibitory' activities is critical for brain function. Identifying the contribution from the several types of excitatory and inhibitory cells is essential to better understand brain operation", explains Liset Menendez de la Prida, the Director of the Laboratorio de Circuitos Neuronales at the Institute Cajal who leads the study at the CSIC. Inhibitory neuron (white) recorded and labeled in vivo, together with other inhibitory cell types (blue and yellow)  CREDIT Elena Cid. Instituto Cajal (CSIC)

In the case of the hippocampus, a brain region involved in memory function, there are 39 known types of excitatory principal cells and 85 types of inhibitory neurons. Activity patterns of these several cell types are very specific. All this information is now compiled in Hippocampome.org, a database created five years ago by the Center for Neural Informatics at George Mason University. This database integrates all current knowledge about the morphology, biophysics, genetic identity, connectivity, and firing patterns of more than 120 types of neurons identified in the rodent hippocampus.

This upgrade, which has been possible thanks to a careful recollection, identification, and classification of neurons at the Institute Cajal, will allow the annotation and classification of high-density brain recordings, critical for brain-machine interfaces. "Much of our knowledge about nerve cells to date comes from laboratory preparations that separate tissue sections of interest from the rest of the brain," says Giorgio Ascoli, a George Mason University Professor who directs the Center for Neural Informatics. "This new linkage to activity recorded in live animals is a game-changer towards real-scale computer models of brain and memory functions", adds Ascoli.

Novel computational models and machine learning applications

New information provided by Hippocampome.org may have an impact on the development of more realistic predictive models that consider neural diversity as a source of information. The results of the work will help to decode brain signals associated with complex cognitive processes for which the information of single-cell activity is essential.

This is the case of the hippocampus, which builds a neural representation of sequential experiences that is later reactivated in a very specific way for encoding, storing, and retrieving memories. In order to better understand this code, we need to decompose mixed neuronal representations. The additional data included in Hippocampome.org may now provide the needed labels to begin deconstructing the code using modern tools from artificial intelligence.

UK scientists call for international investment to tackle major wheat losses

Urgent investment in new tools is needed to address major global losses of wheat crops which cost £22 billion per year.

Leading scientific experts are calling for governments around the world to come together and fund a new international research platform, to reduce the impact of major wheat pathogens and improve global food security.

The John Innes Centre is calling for an internationally coordinated approach to deliver a new 'R-Gene Atlas', which would help identify new genetic solutions conferring disease resistance for crops, which could be bred into commercial wheat varieties.

Globally, we lose one-fifth of the projected wheat yield annually to pests and pathogens totaling losses of 209 million tonnes, worth £22 billion ($31 billion). The climate emergency has the capacity to bring further disruption to global food supplies, as a changing environment brings new types of pests and diseases and increases their spread. Wheat Atlas - Investment call for genomic tools  CREDIT John Innes Centre

To minimize these losses, and to reduce reliance on chemical solutions, the team calls for broader use of disease resistance to be found in the genome of wheat and its wild relatives. The aim is to provide long-lasting molecular protection against wheat's major pathogens including wheat rusts, blotch diseases, powdery mildew, and wheat blast.

In 2016 global trade saw the wheat blast fungus, typically isolated to South America, arrive in Bangladesh, where it destroyed 15,000 hectares of wheat, resulting in yield losses of 25-30% and threatening wheat production across South Asia.

Wheat R genes work by recognizing corresponding molecules in the pathogen called effectors. By identifying the effectors present in pathogen and pest populations, more durable combinations or "stacks" of R genes could be designed.

The R-gene atlas will be a free online portal containing this genetic information and enabling breeders to design gene stacks using computer modeling before starting their breeding in the field.

It will enable users to design molecular markers that could be used to find out what resistance genes they already have in their breeding program or wheat populations.

The idea builds upon the recent surge in genomic resources available to researchers in wheat, facilitated by advancements in sequencing technologies and bioinformatics. In the past few years, researchers at the John Innes Centre and The Sainsbury Laboratory have rapidly identified and cloned resistance genes in wheat and its wild relatives using technologies such as AgRenSeq, MutRenSeq, and MutChromSeq.

The new proposal details how the molecular components involved in disease resistance - R genes and effectors - could be captured from both the host and pathogen. Whole-genome sequencing would be carried out on diversity panels of wheat, its progenitors, and domesticated and wild relatives.

Association genetics, a method of seeking useful genetic variation, could then be used to look for correlations between the host genotype and disease resistance or susceptibility and the genes responsible for these traits could be identified. The researchers calculate it would cost around £41 million ($58.6 million) to establish the new platform at the required scale. Costed, detailed proposals for the R-Gene Atlas are set out in a new article in Molecular Plant.

This would include sequencing diversity panels of the pathogens and 10 host species of wheat, as well as funding 75 scientists across the world to carry out the work.

This, they suggest, could be funded by contributions of £2 million ($2.9 million) per G20 country spread over five years - a minor investment considering the current financial losses across the world to wheat diseases. This extensively collaborative funding model would spread the risk on a project which would have a global reward.

"Compared to the scale of the problem in yield losses to pests and pathogens, this represents excellent value for money," says first author Amber Hafeez. "It is unsustainable to continue feeding 20 percent of our wheat production to pathogens. Our enterprise applies cutting edge science to a global challenge that is increasing due to the climate emergency."

The proposal involves bringing together an international consortium to allow the project to draw upon existing expertise and resources.

"A lot of the pieces of the puzzle already exist, the idea is to bring them together to make sure we don't duplicate efforts," says Dr. Brande Wulff, corresponding author of the article. "We see it as a centrally coordinated model distributed around different countries, using existing capacity.

"Current projections suggest there will be 2.1 billion more people to feed by 2050 and developing disease-resistant crops will be a key part of sustainably feeding us all. We're determined to develop new ways to increase our genetic understanding and deploy it for the benefit of sustainable agriculture, but we cannot do this without investment."

"We are urging the G20 governments to invest in the consortium, which will bring disease resistance genes from the lab to field at a scale and speed needed to deal with the current crisis."

The idea has been trialed earlier this year and has drawn an enthusiastic response from the international wheat research community. Amber Hafeez said: "We have been delighted with the initial enthusiastic response to our proposals - many research groups and collaborators have welcomed the idea and we feel this confirms our belief that the time is right for this proposal."

Real-world flight data shows continued need for social distancing

Current vaccination programs alone will have a limited effect in stopping the second wave of COVID infections in the US, according to a study conducted by scientists from Reykjavik University in Iceland, University of Lyon, University of Southern Denmark, and University of Naples Federico II, and published in the Nature Group journal Scientific Reports today. The findings suggest that strict social distancing and other non-pharmaceutical methods are still necessary to end the ongoing second wave in the US and prevent a new one from rising.

The study fed real-world data on human mobility into a mathematical model previously used to predict the second wave of COVID in the US. As a proxy for general human mobility between regions in the US, the authors use data from the OpenSky Network, a non-profit association that provides open access to real-world air traffic control data for research purposes. The mathematical model, previously developed by the authors, was first tested and calibrated using data on the pandemic's progression in the first wave. Here, deploying the model on flight-control data, they show that given current rates of mobility in the US and the rate of vaccination, the vaccination campaign alone will not stop the ongoing wave of infections. Dr Anna Sigridur Islind and Dr Maria Oskarsdottir used real-world flight data to show that there is continued need for social distancing to curb the spread of COVID in the US.  CREDIT Dr. Islind

Dr Anna Sigridur Islind and Dr Maria Oskarsdottir, assistant professors in the Department of Computer Science at Reykjavik University, led the work with the OpenSky Data. "Our analysis clearly demonstrates that continued vigilance is needed regarding social distancing and other non-pharmaceutical methods in the US, since not everyone can be vaccinated at once and because there is a considerable time lag from vaccination to immunity," Dr Islind said.

"Our results underscore the importance of using real-world data on human mobility relating to the pandemic and to inform public health strategies. This is especially important in a pandemic as complex as COVID and that has had such an uneven public health response, with huge variability in vaccination rates, social distancing regulations, and other measures. The flight-control data is very useful, as it comprises real-world information about rates of interstate travel and so provides a valuable broader view of human mobility on a large scale," Dr Oskarsdottir added. Dr Anna Sigridur Islind and Dr Maria Oskarsdottir used real-world flight data to show that there is continued need for social distancing to curb the spread of COVID in the US.  CREDIT Golli