Salk prof Michael shines a light into black holes in the Arabidopsis genome

Salk scientists, collaborating with researchers from the University of Cambridge and Johns Hopkins University, have sequenced the genome of the world’s most widely used model plant species, Arabidopsis thaliana, at a level of detail never previously achieved. The study, published in Science on November 12, 2021, reveals the secrets of Arabidopsis chromosome regions called centromeres. The findings shed light on centromere evolution and provide insights into the genomic equivalent of black holes. Todd Michael

“Just over 20 years ago the Arabidopsis genome was published, and it has been the gold standard plant genome since giving rise to amazing advances from models to crops,” says Todd Michael, a research professor in the Plant Molecular and Cellular Biology Laboratory. “Our new assembly resolves the final missing pieces of the genome, paving the way for exciting research on chromosome architecture and evolution, which will be critical for our efforts to engineer plants to address climate change in the future.”

Arabidopsis thaliana was adopted as a model plant due to its short generation time, small size, ease of growth, and prolific seed production through self-pollination. Its fast life cycle and small genome make it well suited for genetics research and to map key genes that underpin traits of interest. It has led to a multitude of discoveries and in 2000 it became the first plant to have its genome sequenced. This initial genome release was of an excellent standard in the chromosome arms, where most of the genes are located, but was unable to assemble the highly repetitive and complex regions known as centromeres, telomeres, and ribosomal DNA. Now, due to advances in sequencing technologies, these challenging regions have been assembled for the first time.

The study is the first to successfully perform long-read sequencing and assembly of the Arabidopsis thaliana centromeres. Since the genome was first sequenced in 2000, long-read sequencing technologies have advanced, allowing researchers to see the genome in greater than 100,000 nucleotide pieces, instead of 100-200 nucleotide pieces. These data, combined with algorithmic advances that assemble the reads, means that the “genomic jigsaw puzzle” is suddenly now completable.

“The centromeres are some of the most interesting, but also the most difficult, regions of the genome to analyze —they are like endless ‘blue sky’ within a jigsaw puzzle,” says co-corresponding author Professor Mike Schatz, from Johns Hopkins University. “Fortunately, advances in sequencing paired with advances in the computational methods for genome assembly now make it possible to accurately assemble even the most challenging of sequences,” such as the genetic makeup of the centromere. Arabidopsis thaliana plant.

For decades, researchers have been trying to understand the paradox of how and why centromeric DNA evolves with extraordinary rapidity, whilst remaining stable enough to perform its job during cell division. In contrast, other ancient parts of the cell that have conserved roles, such as ribosomes, which make proteins from mRNA, tend to be very slow evolving. Yet the centromere, despite its conserved role in cell division, is the fastest evolving part of the genome. This study, by revealing the genetic and epigenetic topography of Arabidopsis centromeres, marks a step-change in our understanding of this paradox.

As part of the study, the compiled centromere maps provide new insights into the “repeat ecosystem” found in the centromere. The maps reveal the architecture of the repeat arrays, which has implications for how they evolve, and for the chromatin and epigenetic states of the centromeres. Moving forward the scientists want to use these maps as a foundation to understand how and why centromeres are evolving so rapidly.

“It’s fantastic to be able to see into the centromeres for the first time and use this to understand their unusual modes of evolution,” says co-corresponding author Professor Ian Henderson, from the University of Cambridge’s Department of Plant Sciences.

Next, the scientists will be looking at using this approach to map centromeres from diverse Arabidopsis species, and ultimately more widely throughout plants.

Other scientists include Bradley W. Abramson, Nolan Hartwick and Kelly Colt of Salk; Matthew Naish, Piotr Wlodzimierz, Andrew J. Tock, Christophe Lambing, Pallas Kuo and Natasha Yelina of the University of Cambridge; Michael Alonge of Johns Hopkins University; Anna Schmücker, Bhagyshree Jamge and Frédéric Berger of the Austrian Academy of Sciences; Terezie Mandáková and Martin A. Lysak of Masaryk University in the Czech Republic; Lisa Smith and Jurriaan Ton of the University of Sheffield; Tetsuji Kakutani of the University of Tokyo; Robert A. Martienssen of the Howard Hughes Medical Institute; Korbinian Schneeberger of LMU Munich; and Alexandros Bousios of the University of Sussex.

ASME’s Engineering for Change Research Fellowship Program cohort doubles with Autodesk Foundation support

In a unique collaboration between two nonprofit organizations, Autodesk Foundation has invested in the American Society of Mechanical Engineers (ASME)’s Engineering for Change (E4C) Research Fellowship Program, doubling the 2021 cohort from 25 to 50 fellows and expanding the reach and impact of Autodesk Foundation’s Impact Internship Program.

Autodesk Foundation is the philanthropic arm of AutodeskInc., a global developer of design software for the architecture, engineering, construction, media and entertainment, and manufacturing industries. Autodesk Foundation allocates resources, including capital, technology, and industry expertise, toward creating a more sustainable and equitable future.

Autodesk Foundation’s Impact Internship program connects innovators and entrepreneurs in the Autodesk Foundation portfolio with emerging engineers.

This combined internship initiative gives more emerging engineers the opportunity to apply their technical expertise to solving some of the world’s most pressing social and environmental issues, while also developing leadership skills and advancing career readiness. This year, E4Chas received nearly 650 applications from interested candidates in 80 countries – an increase of 50% compared with the previous year. 

E4C’s Fellows will be matched with Autodesk Foundation portfolio organizations on projects that address the United Nations Sustainable Development Goals. Projects include proving the affordability of greenhouses for small shareholder farmers in India, product design of electric motorbikes, and developing a holistic design approach for sustainable construction projects.

Fellows advance their career path through 400 hours of research, 30 hours of networking online with their peers and expert advisors, and 30 hours of learning modules designed to enhance their knowledge in the sector. In addition, the Autodesk Foundation will provide software training to the Fellows as needed for their research collaborations, on Autodesk tools including AutoCAD, BIM 360, Dynamo, Revit, Inventor, and Fusion 360. Fellows publish the results of their technical research, expert interviews, and share their insights on E4C’s online platform, reaching a global community of more than one million innovators and influencers in sustainable development.

“Autodesk Foundation’s substantial investment in this signature ASME philanthropic initiative is a powerful endorsement of our mission to advance engineering for the benefit of humanity,” said Kathleen Lobb, managing director of ASME philanthropy and executive director of the ASME Foundation. “E4C Fellowships are a mainstay of our Engineering Global Development portfolio, which is just one of the ways ASME and the ASME Foundation inspire, engage, and empower next generation engineers.”

"We are proud to collaborate with ASME and E4C on Autodesk Foundation's Impact Internship Program this year. With ASME and E4C's expertise and network, we're able to connect our portfolio with a global cohort of emerging engineers to solve some of the world's most pressing social and environmental problems," said Christine Stoner, head of engagement at Autodesk Foundation.

Since 2016, the E4C Research Fellowship has provided opportunities for 86 fellows from 23 countries to create social impact. The highly competitive program attracts hundreds of applicants each year. More than half of all E4C Fellows are women, addressing the critical need to expand diversity in engineering for sustainable development where only 13 percent of engineers are women.

Grimaldo's model shows that preventing extortion is more efficient than fighting it

Francisco Grimaldo, professor at the Department of Computer Science at the University of Valencia (UV), has developed together with Mexican researchers a supercomputer model that allows simulating the effect of extortion on companies and analyzing aspects such as GDP, the unemployment rate, or the inflation. Research shows that the negative effects of extortion are milder when the population does not commit this crime than when it stands trial.

The project developed by Francisco Grimaldo, in collaboration with the Artificial Intelligence Research Centre of the Universidad Veracruzana (Mexico), measures the socioeconomic impact of extortion, a type of crime which it is difficult to obtain data on because the number of complaints is low for fear of retaliation.

“The analysis of in silico data, generated through large-scale simulation computational models, allows us to scrutinize the behavior of complex systems such as criminal networks anonymously and securely”, Francisco Grimaldo highlighted. Francisco Grimaldo

The supercomputer model includes the different economic actors that intervene in the goods market, the labor market, and the credit market; thus, the micro and macroeconomic indicators of this simulated society are calculated adjusting parameters such as the propensity to make use of extortion, the limit that companies will be willing to pay, or the probability that these criminals will be imprisoned.

The data analyzed shows how a greater number of extortionists increases the unemployment rate and inequalities, in addition to having a negative effect on GDP.

The results obtained by the study through the two main variables of the model, which are the probability that the population will become extortionists (which will depend on the authorities’ ability to prevent it) and the probability that the extortionists are imprisoned (which will depend on the effectiveness with which the justice system punishes this crime), present better socioeconomic data in a scenario where the appearance of extortionate attitudes can be prevented as much as possible.

The authors highlight that a possible way to prevent extortion would be to make this activity less profitable for criminals since, according to the research data, the wealth of extortionists is strongly related to the propensity to report companies. An effective justice system that builds trust in citizens would also help in this prevention.