Visualizing the Data: The Evolution of Trade Tensions in Metals and Minerals Markets 18 January 2018 — 4:30PM TO 6:00PM Anonymous (not verified) 19 December 2017 Chatham House, London

Over the past decade, producer countries such as South Africa, Zambia, Indonesia, the DRC and, most recently, Tanzania have restricted exports of unprocessed precious metals, copper, nickel, cobalt and other minerals in an attempt to support, or create, downstream processing industries and jobs or increase revenues. These moves have invariably created tensions with trading partners. Research suggests that export restrictions are not the best way to achieve such policy objectives and can instead harm the producer country’s economy and undermine the functioning of international metals and minerals.

Drawing on OECD and Chatham House research on resource trade, the speaker will present analysis and data visualizations exploring the drivers of past export restrictions and their political and economic impacts. They will also consider how the drivers of ‘resource nationalist measures’ are changing, whether and where export restrictions might present strategic and economic risks in the current context, and the extent to which producer and consumer governments and international governance mechanisms are prepared to address them.

Attendance at this event is by invitation only.

The Electric Vehicle Revolution: Impacts on Oil Economies and Industry 24 January 2019 — 8:15AM TO 9:45AM Anonymous (not verified) 3 December 2018 Chatham House | 10 St James's Square | London | SW1Y 4LE

Electric vehicle (EV) deployment is gathering pace: the Norwegian government thinks that EV subsidies will be unnecessary by 2025 as they reach parity with diesel and petrol vehicles.

China has stipulated that EVs comprise 12 per cent of vehicle sales by 2020 while more governments are committing to banning diesel and petrol vehicles.

These developments are expected to be replicated as urban air pollution rises up the political agenda while technological developments and falling costs have given rise to ambitious forecasts on the increase in the deployment of EVs and the demise of the internal combustion engine.

Considering this, the presentations and initial discussion focus on:

• The influence of new technologies on the automotive landscape, including autonomous vehicles.
• How the automotive and oil companies are adjusting their business models to accommodate and encourage the rise in EVs.
• The risks and opportunities for the deployment of EVs for incumbents and new market actors.
• The role of government for example in public procurement and infrastructure development.
• The potential for modal shift and its impact on oil demand.

The discussion then seeks to explore the need for benchmarks of change including data and metrics to understand the changing risk landscape and the implications for different actors.

Finally, the discussion focuses on the speed of transformation and what this means for existing and new market actors.

The Global Implications of China's Energy Revolution 4 March 2019 — 9:00AM TO 10:30AM Anonymous (not verified) 7 February 2019 Chatham House | 10 St James's Square | London | SW1Y 4LE

Ten years ago, it would have been difficult to believe that China – the world’s largest greenhouse gas emitter – would be one of the global leaders in some elements of clean energy development and deployment. With increasing air pollution and predominantly coal-fired power generation fueled by a booming economy and population, China has had to rethink its approach to environmental protection and climate mitigation.

Strong government signalling and national policies have led to the construction of the world’s largest fleets, wind farms and solar photovoltaic arrays in an effort to reduce national GDP intensities of energy and CO2 emissions. How has the availability of large amounts of capital, and the number of state-owned companies with soft budgetary constraints, helped contribute to this?

Against this backdrop, this event will consider how China must re-evaluate its approach to energy security – coal made up the majority of the country’s energy in 2016, followed by oil, of which 65 per cent had to be imported – despite the country being one of the pioneers of renewable energy. This event will look at how, in delivering on its clean energy objectives, China could redefine the traditional energy security paradox and in fact become more resilient to previously overlooked vulnerabilities.

Plant-based 'Meat' and Cultured Meat: Revolutionizing the Livestock Sector 10 April 2019 — 4:00PM TO 5:30PM Anonymous (not verified) 14 March 2019 Chatham House | 10 St James's Square | London | SW1Y 4LE

Consensus is building across the scientific, environmental and public health communities that a radical shift away from excessive meat-eating patterns is urgently needed to tackle the unsustainability of the livestock sector. Recognizing the scale of the challenge ahead, public policymakers, civil society and innovators have increasingly sought to prompt shifts in consumer food choices – away from the most resource-intensive meat products and towards more sustainable alternatives.

Meat analogues – plant-based ‘meat’ and cultured meat also known as ‘lab-grown’ meat – mark a departure from traditional meat alternatives. Both are intended to be indistinguishable from – and in the case of cultured meat biologically equivalent to – animal-derived meat and are marketed principally at meat-eaters. Innovation and investment in meat analogues have increased significantly, but the direction and pace of growth in the meat analogue industry will depend upon a multitude of factors, including public acceptance, civil society support and incumbent industry responses.

This event will explore the challenges of scaling up production and generating demand for meat alternatives. It will also look at the ways policymakers in the UK and EU can impact the direction of the industry while examining what factors will influence consumer acceptance of plant-based ‘meat’ and cultured meat as substitutes for animal-derived meat.

Glycosylation is a highly diverse set of co- and post-translational modification of proteins. For mammalian glycoproteins, glycosylation is often site-, tissue- and species-specific, and diversified by microheterogeneity. Multitudinous biochemical, cellular, physiological and organismic effects of their glycans have been revealed, either intrinsic to the carrier proteins or mediated by endogenous reader proteins with carbohydrate recognition domains. Furthermore, glycans frequently form the first line of access by or defense from foreign invaders, and new roles for nucleocytoplasmic glycosylation are blossoming. We now know enough to conclude that the same general principles apply in invertebrate animals and unicellular eukaryotes – different branches of which spawned the plants or fungi and animals. The two major driving forces for exploring the glycomes of invertebrates and protists are (i) to understand the biochemical basis of glycan-driven biology in these organisms, especially of pathogens, and (ii) to uncover the evolutionary relationships between glycans, their biosynthetic enzyme genes, and biological functions for new glycobiological insights. With an emphasis on emerging areas of protist glycobiology, here we offer an overview of glycan diversity and evolution, to promote future access to this treasure trove of glycobiological processes.

What's taking place in California is nothing less than a quiet revolution in education.

It’s a significant milestone – but what does the GFCM actually do? What has it achieved so far?

Since its creation, the GFCM has evolved into an efficient [...]

Discover evidence of natural selection and evolution at the Smithsonian's Natural History Museum (Meredith Bragg)

In July 1925, a young science teacher named John Scopes was in court, accused of contravening the Butler Act—a Tennessee law that prohibited the teaching of evolution in schools.

OK Go, Damian Kulash Jr. and Trish Sie | Smithsonian Magazine’s 2016 American Ingenuity Award Winners for Visual Arts Specializing in the whimsical and unexpected, these artistic dynamos have collaborated on some of the most arresting music videos ever made. This year’s “Upside Down & Inside Out” showcases the OK Go band members in a gravity-defying gambol shot aboard a Russian jetliner flying parabolas to induce periods of weightlessness. (“Here It Goes Again,” a treadmill ballet released in 2006, won a Grammy Award for best short-form video.) OK Go, formed in Chicago in 1998 and now based in Los Angeles, features Tim Nordwind (bass), Andy Ross (guitar), Dan Konopka (drums) and Damian Kulash Jr. (vocals and guitar). “Upside Down & Inside Out” is the fourth video that Kulash has co-directed with Sie, an acclaimed choreographer and film director who is also his sister. Read more about their work: http://smithmag.co/HZ8vzr | #IngenuityAwards And more about the American Ingenuity Awards: http://smithmag.co/77xPqy

A team of roboticists, paleontologists and biologists are building robots to simulate crucial evolutionary developments that can’t be tested with static fossils

A blockbuster exhibition in Paris is showcasing 500 artifacts and artworks in honor of the Surrealist Manifesto, which sparked a new artistic style that spread around the world

A new book charts the history of pet cemeteries and honors the universal experience of grieving an animal companion

Power of One project's goal is perfecting solar technology for tomorrow's hybrid cars as high oil prices peak interest in alternative vehicles

Innovation introduces expert intelligence into 3D CAD software

New model for distribution centers lets machines do the heavy lifting

This interactive timeline examines key educational technology trends over the past 10 years. Features previous editions of Technology Counts and Education Week articles.

The Penn State Center for Human Evolution and Diversity is currently accepting proposals for grants to support projects occurring during the 2024-25 academic year.

DOVER, Del. (April 22, 2024) – The Delaware Forest Service hosted the Daughters of the American Revolution (DAR), Col. John Haslet Chapter in Dover, and other volunteers to establish a memorial plot dedicated to former State Forester Walter F. Gabel, who served in this role from 1974 to 1991. “We are excited about this DAR […]

NEW CASTLE – The Delaware Department of Health and Social Services’ Division of Substance Abuse and Mental Health (DSAMH) announces significant advancement in capabilities for the Delaware Treatment and Referral Network (DTRN) with the launch of DTRN360, a Behavioral Health Coordination platform. DTRN360 is designed to bridge the gaps experienced by providers in caring for […]

Remember the first time you held a smartphone in your hand? It wasn’t just a fancy phone – it was the beginning of a revolution. Before smartphones, we used separate calls, cameras, emails, and navigation devices. But almost overnight, this gadget transformed everything: how we communicate, consume media, work and [...]

Productivity revolution: 4 strategic areas generative AI can transform organizations was published on SAS Voices by Marinela Profi

The automotive industry is currently on the cusp of a radical evolution, steering towards a future where cars are not just vehicles but sophisticated, software-defined vehicles (SDV). This shift is marked by an increased reliance on automation and a significant increase in the use of sensors to improve safety and reliability. However, the increasing number of sensors has led to higher compute demands and poses challenges in managing a wide variety of data. The traditional method of using separate processors to manage each sensor's data is becoming obsolete. The current trends necessitate a unified processing system that can deal with multimodal sensor data, utilizing traditional Digital Signal Processing (DSP) and AI-driven algorithms. This approach allows for more efficient and reliable sensor fusion, significantly enhancing vehicle perception. Developers often face difficulties adhering to stringent power, performance, area, and cost (PPAC) and timing constraints while designing automotive SoCs.

Cadence, with its groundbreaking products and AI-powered processors, is enabling designers and automotive manufacturers to meet the future sensor fusion demands within the automotive sector. At the recent CadenceLive Silicon Valley 2024, Amol Borkar, product marketing director at Cadence, showcased the company's dedication and forward-thinking solutions in a captivating presentation titled "Addressing Tomorrow’s Sensor Fusion Needs in Automotive Computing with Cadence." This blog aims to encapsulate the pivotal takeaways from the presentation. If you missed the chance to watch this presentation live, please click here to watch it.

Significant Trends in the Automotive Market – Industry Landscape

We are witnessing a revolution in automotive technology. Innovations like occupant and driver monitoring systems (OMS, DMS), 4D radar imaging, LiDAR technology, and 360-degree view are pushing the boundaries of what's possible, leading us into an era of remarkable autonomy levels—ranging from no feet or hands required to eventually no eyes needed on the road.

Sensor Fusion and Increasing Processing Demands—Sensor fusion effectively integrates data from different sensors to help vehicles understand their surroundings better. Its main benefit is in overcoming the limitations of individual sensors. For example, cameras provide detailed visual information but struggle in low-light or lousy weather. On the other hand, radar is excellent at detecting objects in these conditions but lacks the detail that cameras provide. By combining the data from multiple sensors, automotive computing can take advantage of their strengths while compensating for their weaknesses, resulting in a more reliable and robust system overall.

One thing to note is that the increased number of sensors produces various data types, leading to more pre-processing.

On-Device Processing—As the industry moves towards autonomy, there is an increasing need for on-device data processing instead of cloud computing to enable vehicles to make informed decisions. Embracing on-device processing is a significant advancement for facilitating real-time decisions and avoiding round-trip latency.

AI Adoption—AI has become integral to automotive applications, driving safety, efficiency, and user experience advancements. AI models offer superior performance and adaptability, making future-proofing a crucial consideration for automotive manufacturers. AI significantly enhances sensor fusion algorithms, offering scalability and adaptability beyond traditional rule-based approaches. Neural networks enable various fusion techniques, such as early fusion, late fusion, and mid-fusion, to optimize the integration and processing of sensor data.

Future Sensor Fusion Needs

Automotive architectures are continually evolving. With current trends and AI integration into radar and sensor fusion applications, SoCs should be modular, flexible, and programmable to meet market demands.

Heterogeneous Architecture- Today's vehicles are loaded with various sensors, each with a unique processing requirement. Running the application on the most suitable processor is essential to achieve the best PPA. To meet such requirements, modern automotive solutions require a heterogeneous compute approach, integrating domain-specific digital signal processors (DSPs), neural processing units (NPUs), central processing unit (CPU) clusters, graphics processing unit (GPU) clusters, and hardware accelerator blocks. A balanced heterogeneous architecture gives the best PPA solution.

Flexibility and Programmability- The industry has come a long way from using computer vision algorithms such as HOG (Histogram Oriented Gradient) to detect people and objects, HAR classifier to detect faces, etc., to CNN and LSTM-based AI to Transformer models and graphical neural networks (GNN). AI has evolved tremendously over the last ten years and continues to evolve. To keep up with the evolving rate of AI, SoC design must be flexible and programmable for updates if needed in the future.

Addressing the Sensor Fusion Needs with Cadence

Cadence offers a complete suite of hardware and software products to address the increasing compute requirements in automotive. The comprehensive portfolio of Tensilica products built on the robust 32-bit RISC architecture caters to various automotive CPU and AI needs. What makes them particularly appealing is their scalability, flexibility, and configurability, offering many options to meet diverse needs.

The Xtensa family of products offers high-quality, power-efficient CPUs. Tensilica family also includes AI processors like Neo NPUs for the best power, performance, and area (PPA) for AI inference on devices or more extensive applications. Cadence also offers domain-specific products for DSPs such as HIFI DSPs, specialized DSPs and accelerators for radar and vision-based processing, and a general-purpose family of products for floating point applications.

The ConnX family offers a wide range of DSPs, from compact and low-power to high-performance, optimized for radar, lidar, and communications applications in ADAS, autonomous driving, V2X, 5G/LTE/4G, wireless communications, drones, and robotics. Tensilica's ISO26262 certification ensures compliance with automotive safety standards, making it a trusted partner for advanced automotive solutions. The Cadence NeuroWeave Software Development Kit (SDK) provides customers with a uniform, scalable, and configurable ML interface and tooling that significantly improves time to market and better prepares them for a continuously evolving AI market. Cadence Tensilica offers an entire ecosystem of software frameworks and compilers for all programming styles.

Tensilica's comprehensive software stack supports programming for DSPs, NPUs, and accelerators using C++, OpenCL, Halide, and various neural network approaches. Middleware libraries facilitate applications such as SLAM, radar processing, and Eigen libraries, providing robust support for automotive software development.

Conclusion

Cadence’s Tensilica products offer a development toolchain and various IPs tailored for the automotive industry, covering audio, vision, radar, unified DSPs, and NPUs. With ISO certification and a robust partner ecosystem, Tensilica solutions are designed to meet the future needs of automotive computing, ensuring safety, efficiency, and innovation.

Learn More

• Cadence Automotive Solutions
• Cadence Automotive IP
• Sensor Fusion and ADAS in TSMC Automotive Processes
• Revolution on the Road: How Cadence is Driving the Future of Automotive Design!
• Taming Design Complexity in Chiplet-Based Automotive Electronics
• UCIe and Automotive Electronics: Pioneering the Chiplet Revolution

The automotive industry revolutionized the definition of a vehicle in terms of safety, comfort, enhanced autonomy, and internet connectivity. With this trend, the automotive industry rapidly adopted automotive Ethernet such as 10Base-T1, 100Base-T1, and in some cases, 1000Base-T1. 

Faster Speed (than CAN-FD), Scalability, embedded security protocols (like MacSec), cost and energy efficiency, and simple yet redundant network made Ethernet an obvious choice over CAN(FD) and FlexRay.  

Ethernet 10Base-T1 

10BASE-T1S is defined under IEEE with 802.3cg. The S in 10BASE-T1S stands for a short distance. 10BASE-T1S uses a multidrop topology, where each node connects to a single cable. Multidrop topology eliminates the need for switches and, as a result, fewer cables/less cost. The primary goal of 10BASE-T1S is a deterministic transmission on a collision-free multidrop network. 10BASE-T1S cables use a pair of twisted wires. As per IEEE, at least eight nodes can connect to each, but more connections are feasible.    

The Physical Layer Collision Avoidance [PLCA] protocol ensures that it uses the entire 10 Mbps bandwidth. In 10BaseTs, Reconciliation Sublayer provides optional Physical Layer Collision Avoidance (PLCA) capabilities among participating stations. Using PLCA-enabled Physical Layers in CSMA/CD half-duplex shared-medium networks can provide enhanced bandwidth and improved access latency under heavily loaded traffic conditions. The working principle of PLCA is that transmit opportunities on a mixing segment are granted in sequence based on a node ID unique to the local collision domain (set by the management entity). 10BASE-T1S also supports an arbitration scheme that guarantees consistent node access to the media within a predefined time.  

The 10BASE-T1S PHY is intended to cover the low-speed/low-cost applications in the industrial and automotive environment. A large number of pins (16) required by the MII interface is one of the significant cost factors that must be addressed to fulfill this objective. The 10BASE-T1S "Transceiver" solution is suited for embedded systems where the digital portion of the PHY is fully integrated, e.g., into an MCU or an Ethernet switch core, leaving only the analog portion (the transceiver) into a separate IC. 

Ethernet 100Base-T1/1000Base-T1 

100Base-T1 and 1000Base-T1 can be used for audio/video information. With Higher bandwidth capacity, 100Base-T1/ 1000Base-T1 paired with AVB (Audio video bridging) can be used for car infotainment systems. 100Base-T1/1000Base-T1 paired with time-sensitive networking [TSN] protocol can be used to fulfill the automotive industry's mission-critical, time-sensitive, and deterministic latency needs. 

 PTP Over MacSec  

With today's automotive network, all the Electronic Control Units connected require timing accuracy and network synchronization, Precision Time Protocol (PTP), defined in IEEE 1588, provides synchronized clocks throughout a network.  While maintaining the timing accuracy for mission-critical applications, protecting the vehicle network from vulnerable threats is mandatory, and PTP over MacSec provides the consolidated solution.  

With the availability of the Cadence Verification IP for 10/100/1000BaseT1 and TSN, adopters can start working with these specifications immediately, ensuring compliance with the standard and achieving the fastest path to IP and SoC verification closure. The 10/100/1000GBaseT1 and TSN provide a full-stack solution, including support to the PHY, MAC, and TSN layers with a comprehensive coverage model and protocol checkers. Ethernet BaseT1 and TSN VIP covers all features required for complete coverage verification closure. More details are available in the Ethernet Verification IP portfolio. 

Krunal 

DDR5 is the latest generation of PCDDR memory that is used in a wide range of application like data centers, Laptops and personal computers, autonomous driving systems, servers, cloud computing, and gaming are now increasingly being used for AI applications with advances in memory bandwidth and density to allow DDR5 DIMMs (Dual Inline Memory Modules) to support densities higher then 256 GB per DIMM card. The highest speed DDR5 SDRAM devices can support data rates of up to 8800 MTps.

DDR5 SO-DIMMs and UDIMMs

One of the most recognized uses of PCDDR is with client devices like laptops and personal computers. These client devices mostly use two types of DDR5 DIMMs called SO-DIMM (Small Outline Dual Inline Memory Module) and UDIMM (Unbuffered Dual Inline Memory Module).

These types of DIMMs have no signal regeneration or buffering (which, for example, the Registering Clock Driver or the RCD does for clocks/command/control signals for a registered DIMMs). A typical 2-Rank UDIMM with x8 DDR5 SDRAM components has 8 or 10 components per rank depending on the system ECC (Error Correction Code) memory being part of the DIMM.

Why DDR5 Clock Buffer and CUDIMM?

Clocks are one of the most important signals for synchronous devices, and DDR5 SDRAMs are no exception. The host is responsible for the fanout to all the DRAM input ports, such as clocks for UDIMMs. Driving of all these DRAM clocks can put quite a bit of load on the host output drivers, thus affecting the signal quality, which can result in unexpected memory errors. This issue gets amplified when operating at the higher clock and data rates where the clock signals transition from one logic value to the next over a very short time. To solve these signal integrity issues with DRAM clocks, JEDEC has come up with a new type of DDR5 DIMM component that is called DDR5 clock buffer. Clock buffers can be used for both DDR5 SO-DIMMs and DDR5 UDIMMs. DDR5 UDIMMs that include a clock buffer component as part of the DIMM card are called DDR5 CUDIMMs (Clock Buffered UDIMMs).

DDR5 Clock Buffer Overview

DDR5 Clock Buffer is a simple logic device that takes in two sets of input clock pins and drives two sets of clock pins as output per channel. The clock buffer device can operate in three types of clock modes: -

• PLL bypass mode: In this mode, the clock buffer just passes on the input clocks to output without any kind of signal buffering. The PLL bypass mode enabled CUDIMM devices behave like traditional UDIMMs without any buffering of the clocks. This is why it’s also referred to as legacy mode. Recommended CUDIMM operating speeds in PLL bypass mode are typically limited to 3000 MHz.

• Single PLL mode: In the single PLL Mode, the clock buffer device will use a Phase Lock Loop (PLL) for the regeneration of the incoming host clock to create a better-quality clock that is sent to the DRAMs. However, since there is only one PLL that is used in this mode, both sub channel output clocks will be driven based on only one set of input clocks with the other set of input clocks remaining unused.

• Dual PLL mode: In this mode, the clock buffer will use two PLLs to independently generate each sub channel output clock based on each set of incoming host clocks. The second set of PLL can be turned on or off on the fly if needed to save power.

Beyond the clock modes, clock buffers provide additional flexibility to the system designers with register-controlled additional signal delays, optional output clock enable/disable per bit feature, drive strength and termination choices, etc. All DDR5 clock buffer device control word registers are accessible via DDR5 DIMM sideband.

Cadence VIPs offers a compressive memory subsystem solution that includes memory models for DDR5 SDRAM, DDR5 RCD, DDR5 DB, DDR5 clock buffer, all types of DDR5 DIMMs, including the DDR5 CUDIMMs, DFI Memory Controller/PHY VIPs, and a system VIP compliant to JEDEC specifications defined for each of those devices along with latest DFI Specification.

More information on Cadence DDR5 DIMM VIP is available at the Cadence VIP Memory Models website.

The next technology revolution is here, and Japan is poised to be a major part of it. At NVIDIA’s AI Summit Japan on Wednesday, NVIDIA founder and CEO Jensen Huang and SoftBank Chairman and CEO Masayoshi Son shared a sweeping vision for Japan’s role in the AI revolution. Speaking in Tokyo, Huang underscored that AI Read Article

The students and the common people of Bangladesh dared to do something in 36 days of July-August that was considered simply impossible by most people just days before August 5, 2024. They said ‘enough is enough’ to an old order that outraged their humanity, robbed their dignity and the rulers imagined that their citadel of […]

Blake Shelton previously coached 9 winners over 23 seasons of 'The Voice' before his departure in 2023Blake Shelton isn’t done with music competitions just yet. A year after his departure from The Voice, the country star, 48, is gearing up to launch a new show called The Road, set to air on...

From birds and bats to horses and great apes, Bill Schutt's seriously fun history of teeth, Bite, explains their role in both shaping evolution and our understanding of it

We are finally untangling the ancient history of the cactus family, revealing some surprising forces that shaped these plants – ­­­­­­and prompting concern for their future

When it comes to the survival of animals living in the wild, the characteristics of the group can matter as much as the traits of the individual, according to a study in marmots

Fossils found 50 and 100 years ago seemed to pinpoint the moment humanity emerged – but defining a human has turned out to be far trickier than we thought

When it comes to the survival of animals living in the wild, the characteristics of the group can matter as much as the traits of the individual, according to a study in marmots

Fossils found 50 and 100 years ago seemed to pinpoint the moment humanity emerged – but defining a human has turned out to be far trickier than we thought

Millions of years ago, our ancestors lost a gene for producing vitamin C and got a taste for citrus. Since then, we've cultivated the tangy fruits into global staples like sweet oranges and sour lemons

The poly(A) signal, together with auxiliary elements, directs cleavage of a pre-mRNA and thus determines the 3' end of the mature transcript. In many species, including humans, the poly(A) signal is an AAUAAA hexamer, but we recently found that the deeply branching eukaryote Giardia lamblia uses a distinct hexamer (AGURAA) and lacks any known auxiliary elements. Our discovery prompted us to explore the evolutionary dynamics of poly(A) signals and auxiliary elements in the eukaryotic kingdom. We use direct RNA sequencing to determine poly(A) signals for four protists within the Metamonada clade (which also contains G. lamblia) and two outgroup protists. These experiments reveal that the AAUAAA hexamer serves as the poly(A) signal in at least four different eukaryotic clades, indicating that it is likely the ancestral signal, whereas the unusual Giardia version is derived. We find that the use and relative strengths of auxiliary elements are also plastic; in fact, within Metamonada, species like G. lamblia make use of a previously unrecognized auxiliary element where nucleotides flanking the poly(A) signal itself specify genuine cleavage sites. Thus, despite the fundamental nature of pre-mRNA cleavage for the expression of all protein-coding genes, the motifs controlling this process are dynamic on evolutionary timescales, providing motivation for future biochemical and structural studies as well as new therapeutic angles to target eukaryotic pathogens.

Pleiotropy, measured as expression breadth across tissues, is one of the best predictors for protein sequence and expression conservation. In this study, we investigated its effect on the evolution of cis-regulatory elements (CREs). To this end, we carefully reanalyzed the Epigenomics Roadmap data for nine fetal tissues, assigning a measure of pleiotropic degree to nearly half a million CREs. To assess the functional conservation of CREs, we generated ATAC-seq and RNA-seq data from humans and macaques. We found that more pleiotropic CREs exhibit greater conservation in accessibility, and the mRNA expression levels of the associated genes are more conserved. This trend of higher conservation for higher degrees of pleiotropy persists when analyzing the transcription factor binding repertoire. In contrast, simple DNA sequence conservation of orthologous sites between species tends to be even lower for pleiotropic CREs than for species-specific CREs. Combining various lines of evidence, we propose that the lack of sequence conservation in functionally conserved pleiotropic CREs is owing to within-element compensatory evolution. In summary, our findings suggest that pleiotropy is also a good predictor for the functional conservation of CREs, even though this is not reflected in the sequence conservation of pleiotropic CREs.

Caenorhabditis elegans is an important model organism for human health and disease, with foundational contributions to the understanding of gene expression and tissue patterning in animals. An invaluable tool in modern gene expression research is the presence of a high-resolution ribosome structure, though no such structure exists for C. elegans. Here, we present a high-resolution single-particle cryogenic electron microscopy (cryo-EM) reconstruction and molecular model of a C. elegans ribosome, revealing a significantly streamlined animal ribosome. Many facets of ribosome structure are conserved in C. elegans, including overall ribosomal architecture and the mechanism of cycloheximide, whereas other facets, such as expansion segments and eL28, are rapidly evolving. We identify uL5 and uL23 as two instances of tissue-specific ribosomal protein paralog expression conserved in Caenorhabditis, suggesting that C. elegans ribosomes vary across tissues. The C. elegans ribosome structure will provide a basis for future structural, biochemical, and genetic studies of translation in this important animal system.

The strength of reproductive isolation (RI) between two or more lineages during the process of speciation can vary by the ecological conditions. However, most speciation research has been limited to studying how ecologically dependent RI varies among a handful of broadly categorized environments. Very few studies consider the variability of RI and its effects on speciation at finer scales—that is, within each environment due to spatial or temporal environmental heterogeneity. Such variation in RI across time and/or space may inhibit speciation through leaky reproductive barriers or promote speciation by facilitating reinforcement. To investigate this overlooked aspect of speciation research, we conducted a literature review of existing studies of variation in RI in the field and then conducted individual-based simulations to examine how variation in hybrid fitness across time and space affects the degree of gene flow. Our simulations indicate that the presence of variation in hybrid fitness across space and time often leads to an increase in gene flow compared to scenarios where hybrid fitness remains static. This observation can be attributed to the convex relationship between the degree of gene flow and the strength of selection on hybrids. Our simulations also show that the effect of variation in RI on facilitating gene flow is most pronounced when RI, on average, is relatively low. This finding suggests that it could serve as an important mechanism to explain why the completion of speciation is often challenging. While direct empirical evidence documenting variation in extrinsic RI is limited, we contend that it is a prevalent yet underexplored phenomenon. We support this argument by proposing common scenarios in which RI is likely to exhibit variability and thus influence the process of speciation.

Surprisingly little attention has been given to the impact of selfing on speciation, even though selfing reduces gene flow between populations and affects other key population genetics parameters. Here we review recent theoretical work and compile empirical data from crossing experiments and genomic and phylogenetic studies to assess the effect of mating systems on the speciation process. In accordance with theoretical predictions, we find that accumulation of hybrid incompatibilities seems to be accelerated in selfers, but there is so far limited empirical support for a predicted bias toward underdominant loci. Phylogenetic evidence is scarce and contradictory, including studies suggesting that selfing either promotes or hampers speciation rate. Further studies are therefore required, which in addition to measures of reproductive barrier strength and selfing rate should routinely include estimates of demographic history and genetic divergence as a proxy for divergence time.

Let’s try and get you up to speed on the fascinating oddity that is simulation game Ecosystem, on the off chance that Nate's coverage of it hasn't stuck with you like an unwelcome brain parasite you’re nonetheless unwilling to get removed for fear of the lingering emptiness it might cause (he once described an eel as “a quaver with erectile dysfunction”). Broadly speaking, this game is Spore’s evolutionary-biology-degree-having cousin. It’s been in early access for about three years now, but with the latest "Crustacean" update, it’s just hit 1.0. Once again, carcinization has come for all things.

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Our Future Chronicles column explores an imagined history of inventions and developments yet to come. This time, Rowan Hooper takes us to the early 2030s, when a technological step change enabled us to produce all the food we needed without the use of animals

Our Future Chronicles column explores an imagined history of inventions and developments yet to come. We visit 2032 and meet artificial animals that love their owners, without the carbon footprint of biological pets. Rowan Hooper explains how it happened

The appointment of a political outsider like Musk could help Trump cut regulations and rein in government bureaucracy, even if the moves are unpopular

From the formation of inner ear bones to the rise of hair to cover our bodies, these developments made us distinct from other animals