The Impact of GATAD2B Mutations on Brain Function and Development – Medriva

The Impact of GATAD2B Mutations on Brain Function and Development

One of the fundamental aspects of understanding neurodevelopmental disorders and intellectual disabilities is to explore the underlying genetic factors. A gene that has been drawing attention in recent years is GATAD2B. This gene is implicated in brain development and physiology, and mutations in it can lead to profound effects, particularly on cognitive function.

A recent study, focusing on the role of GATAD2B, utilized a mouse model with an inactivating mutation in Gatad2b. The research findings indicated that mutant Gatad2b mice exhibited behavioral and learning abnormalities similar to the human phenotype. These abnormalities were accompanied by abnormal cortical development and gene expression patterns, suggesting that GATAD2B mutations result in abnormal epigenetic transcriptional regulation of corticogenesis, thereby leading to intellectual disability.

Several scientific techniques were employed to understand the role and impact of GATAD2B mutations on brain development. Quantitative PCR was used to assess Gatad2b expression levels in the brain of mice, and Western blot analysis was performed to detect the Gatad2b protein. These techniques were coupled with histological analysis and behavioral tests to evaluate cognitive function in the mutant mice.

Furthermore, the research employed single-cell RNA sequencing to identify shared cell states across different samples. It also conducted gene ontology enrichment analysis to gain insights into the pathogenesis mechanisms associated with GATAD2B haploinsufficiency. The study included a detailed description of the experimental procedures and ethical considerations, ensuring the integrity of the scientific process.

The findings of this study contribute significantly to the understanding of GATAD2B and its implications for brain function and development. The observation of abnormal cortical development and gene expression in mutant mice provides valuable insights into the potential pathophysiological mechanisms underpinning neurodevelopmental disorders associated with GATAD2B mutations.

This research also highlights the potential of GATAD2B as a therapeutic target for neurological disorders. Given its role in regulating gene expression and its impact on cognitive function, targeting GATAD2B could pave the way for innovative therapies in neurodevelopmental disorders and intellectual disabilities.

For more information on the role of GATAD2B in brain development and physiology, you may refer to these resources:

They provide detailed information on the role of GATAD2B in brain development, its function in regulating gene expression, and its impact on neurodevelopmental disorders.

Follow this link:
The Impact of GATAD2B Mutations on Brain Function and Development - Medriva

Synthetic biology aims to tackle disease and give cells superpowers – Science News Explores

activate: (in biology) To turn on, as with a gene or chemical reaction.

amino acids: Simple molecules that occur naturally in plant and animal tissues and that are the basic building blocks of proteins.

antenna: (plural: antennae or antennas) In biology: Either of a pair of long, thin sensory appendages on the heads of insects, crustaceans and some other arthropods. (in physics) Devices for picking up (receiving) electromagnetic energy.

artery: Part of the bodys circulation system. There are several. Each is amajor tuberunning between the heart and blood vessels that will move blood to all parts of the body.

behavior: The way something, often a person or other organism, acts towards others, or conducts itself.

biology: The study of living things. The scientists who study them are known as biologists.

blood vessel: A tubular structure that carries blood through the tissues and organs.

cancer: Any of more than 100 different diseases, each characterized by the rapid, uncontrolled growth of abnormal cells. The development and growth of cancers, also known as malignancies, can lead to tumors, pain and death.

carbon: A chemical element that is the physical basis of all life on Earth. It can self-bond, chemically, to form an enormous number of chemically, biologically and commercially important molecules.

carbon nanotube: A nanoscale, tube-shaped material, made from carbon that conducts heat and electricity well.

cardiologist: A doctor that specializes in the branch of medicine dealing with functions and diseases of the heart.

cell: (in biology) The smallest structural and functional unit of an organism. Typically too small to see with the unaided eye, it consists of a watery fluid surrounded by a membrane or wall. Depending on their size, animals are made of anywhere from thousands to trillions of cells.

cell membrane: A structure that separates the inside of a cell from what is outside of it. Some particles are permitted to pass through the membrane.

chain reaction: An event that once started continues to keep itself going. Its a term frequently used to describe atomic fission in a nuclear power plant. By packing enough fuel closely enough together, neutrons released by fissioning atoms bombard neighboring atoms, inducing them to fission. This sets up a self-sustaining process.

chemical: A substance formed from two or more atoms that unite (bond) in a fixed proportion and structure. For example, water is a chemical made when two hydrogen atoms bond to one oxygen atom. Its chemical formula is H2O. Chemical also can be an adjective to describe properties of materials that are the result of various reactions between different compounds.

chemical signal: A message made up of molecules that get sent from one place to another. Bacteria and some animals use these signals to communicate.

chemistry: The field of science that deals with the composition, structure and properties of substances and how they interact.

cholesterol: A fatty material in animals that forms a part of cell walls. In vertebrate animals, it travels through the blood in little vessels known as lipoproteins. Excessive levels in the blood can signal risks to blood vessels and heart.

clot: (in medicine) A collection of blood cells (platelets) and chemicals that collect in a small region, stopping the flow of blood.

conductive: Able to carry an electric current.

contract: To activate muscle by allowing filaments in the muscle cells to connect. The muscle becomes more rigid as a result.

current: (in electricity) The flow of electricity or the amount of charge moving through some material over a particular period of time.

defense: (in biology) A natural protective action taken or chemical response that occurs when a species confronts predators or agents that might harm it. (adj. defensive)

DNA: (short for deoxyribonucleic acid) A long, double-stranded and spiral-shaped molecule inside most living cells that carries genetic instructions. It is built on a backbone of phosphorus, oxygen, and carbon atoms. In all living things, from plants and animals to microbes, these instructions tell cells which molecules to make.

electricity: A flow of charge, usually from the movement of negatively charged particles, called electrons.

electrode: A device that conducts electricity and is used to make contact with non-metal part of an electrical circuit, or that contacts something through which an electrical signal moves. (in electronics)Part of a semiconductor device (such as a transistor) that either releases or collects electronsor holes, or that can controltheir movement.

engineer: A person who uses science and math to solve problems. As a verb, to engineer means to design a device, material or process that will solve some problem or unmet need.

generation: A group of individuals (in any species) born at about the same time or that are regarded as a single group. Your parents belong to one generation of your family, for example, and your grandparents to another. Similarly, you and everyone within a few years of your age across the planet are referred to as belonging to a particular generation of humans.

germ: Any one-celled microorganism, such as a bacterium orfungal species, or a virus particle. Some germs cause disease. Others can promote the health of more complex organisms, including birds and mammals. The health effects of most germs, however, remain unknown.

immune: (adj.) Having to do with immunity. (v.) Able to ward off a particular infection.

immune system: The collection of cells and their responses that help the body fight off infections and deal with foreign substances that may provoke allergies.

implant: A device manufactured to replace a missing biological structure, to support a damaged biological structure, or to enhance an existing biological structure. Examples include artificial hips, knees and teeth; pacemakers; and the insulin pumps used to treat diabetes.Or some device installed surgically into an animals body to collect information on the individual (such as its temperature, blood pressure or activity cycle).

infectious: An adjective that describes a type of microbe or virus that can be transmitted to people, animals or other living things.

limb: (in physiology) An arm or leg. (in botany) A large structural part of a tree that branches out from the trunk.

link: A connection between two people or things.

magnetic field: An area of influence created by certain materials, called magnets, or by the movement of electric charges.

membrane: A barrier which blocks the passage (or flow through) of some materials depending on their size or other features. Membranes are an integral part of filtration systems. Many serve that same function as the outer covering of cells or organs of a body.

molecule: An electrically neutral group of atoms that represents the smallest possible amount of a chemical compound. Molecules can be made of single types of atoms or of different types. For example, the oxygen in the air is made of two oxygen atoms (O2), but water is made of two hydrogen atoms and one oxygen atom (H2O).

muscle: A type of tissue used to produce movement by contracting its cells, known as muscle fibers. Muscle is rich in protein, which is why predatory species seek prey containing lots of this tissue.

nanoparticle: A small particle with dimensions measured in billionths of a meter.

nerve: A long, delicate fiberthat transmits signalsacross the body of an animal. An animals backbone contains many nerves, some of which control the movement of its legs or fins, and some of which convey sensations such as hot, cold or pain.

network: A group of interconnected people or things. (v.) The act of connecting with other people who work in a given area or do similar thing (such as artists, business leaders or medical-support groups), often by going to gatherings where such people would be expected, and then chatting them up. (n. networking)

novel: Something that is clever or unusual and new, as in never seen before.

organ: (in biology) Various parts of an organism that perform one or more particular functions. For instance, an ovary is an organ that makes eggs, the brain is an organ that makes sense of nerve signals and a plants roots are organs that take in nutrients and moisture.

organism: Any living thing, from elephants and plants to bacteria and other types of single-celled life.

particle: A minute amount of something.

pH: A measure of a solutions acidity or alkalinity. A pH of 7 is perfectly neutral. Acids have a pH lower than 7; the farther from 7, the stronger the acid. Alkaline solutions, called bases, have a pH higher than 7; again, the farther above 7, the stronger the base.

plaque: An accumulation of materials in the body from the fluids that move through an area or bathe it. They can be minerals, proteins or other substances that collect as deposits. (in heart disease) Fatty deposits that accumulate in vessels as a result of a disease known as atherosclerosis. This plaque is made up of fat, cholesteroland other substances carried by the blood. Eventually these deposits will harden and narrow the internal openings of the arteries. This reduces the flow of oxygen and blood to organs throughout body.

podcast: A digital audio or video series that can be downloaded from the Internet to your computer or smartphone. Some podcasts also are shows that are broadcast on radio, television or other media.

pore: A tiny hole in a surface. On the skin, substances such as oil, water and sweat pass through these openings.

prosthetic: Adjective that refers to a prosthesis.

protein: A compound made from one or more long chains of amino acids. Proteins are an essential part of all living organisms. They form the basis of living cells, muscle and tissues; they also do the work inside of cells. Antibodies, hemoglobin and enzymes are all examples of proteins. Medicines frequently work by latching onto proteins.

retinitis pigmentosa: Also known as RP, this incurable family of genetic eye diseases causes cells in the retina light-sensitive tissue at the back of the eyeball to fail. Problems emerge in childhood. Most patients eventually go blind.

rhodopsin: A pigment molecule bound to the light-sensing protein opsin. Rhodopsins are found in red cells of the eye. They are extremely sensitive to light, but cannot sense color.

risk: The chance or mathematical likelihood that some bad thing might happen. For instance, exposure to radiation poses a risk of cancer. Or the hazard or peril itself. (For instance: Among cancer risks that the people faced were radiation and drinking water tainted with arsenic.)

science fiction: A field of literary or filmed stories that take place against a backdrop of fantasy, usually based on speculations about how science and engineering will direct developments in the distant future. The plots in many of these stories focus on space travel, exaggerated changes attributed to evolution or life in (or on) alien worlds.

strategy: A thoughtful and clever plan for achieving some difficult or challenging goal.

synthetic: An adjective that describes something that did not arise naturally, but was instead created by people. Many synthetic materialshave been developed to stand in for natural materials, such as synthetic rubber, synthetic diamond or a synthetic hormone. Some may even have a chemical makeup and structure identical to the original.

synthetic biology: A research field in which scientists work on developing custom life forms in the lab. Because they make synthetic organisms, scientists who work in this field are known as synthetic biologists.

system: A network of parts that together work to achieve some function. For instance, the blood, vessels and heart are primary components of the human body's circulatory system. Similarly, trains, platforms, tracks, roadway signals and overpasses are among the potential components of a nation's railway system. System can even be applied to the processes or ideas that are part of some method or ordered set of procedures for getting a task done.

technology: The application of scientific knowledge for practical purposes, especially in industry or the devices, processes and systems that result from those efforts.

tissue: Made of cells, it is any of the distinct types of materials that make up animals, plants or fungi. Cells within a tissue work as a unit to perform a particular function in living organisms. Different organs of the human body, for instance, often are made from many different types of tissues.

wave: A disturbance or variation that travels through space and matter in a regular, oscillating fashion.

Read the original:

Synthetic biology aims to tackle disease and give cells superpowers - Science News Explores

New Evolution Theory Explains Why Animals Shrink Over Time – SciTechDaily

A recent study uncovers the factors influencing animal size changes over time, identifying three evolutionary patterns based on competition and environmental pressures, providing clarity on the inconsistencies in fossil records. Credit: SciTechDaily.com

New research reveals key factors behind the changing sizes of certain animals over time, challenging traditional evolutionary theories with its findings on species size variations.

The mystery behind why Alaskan horses, cryptodiran turtles, and island lizards shrunk over time may have been solved in a new study.

The new theoretical research proposes that animal size over time depends on two key ecological factors: the intensity of direct competition for resources between species, and the risk of extinction from the environment.

Using computer models simulating evolution, the study, published today (Thursday, January 18) in the journal Communications Biology, identifies why some species gradually get smaller, as indicated by fossil records.

Dr. Shovonlal Roy, an ecosystem modeler from the University of Reading who led the research, said: Just like how we try to adapt to hot or cold weather depending on where we live, our research shows animal size can get bigger or smaller over long periods depending on the habitat or environment.

In places and times where theres lots of competition between different species for food and shelter, animal sizes often get smaller as the species spread out and adapt to the distribution of resources and competitors. For example, small horses that lived in Alaska during the Ice Age rapidly shrank due to changes in the climate and vegetation.

Where direct competition is less, sizes tend to get bigger, even though being really big and few in number can make animals more vulnerable to dying out such as what happened with the dinosaurs.

Changes in ecological factors help explain why fossil records shows such confusing mixes of size evolution patterns, with some lineages shrinking over time and others growing.

The research team carried out their study by challenging the contradictions fossil evidence posed to Copes rule. Copes rule refers to the tendency for certain animal groups to evolve larger body sizes over thousands and millions of years. The rule is named after Edward Cope, a 19th-century paleontologist who was credited to have first noticed this pattern in the fossil record. For example, early horse ancestors were small dog-sized animals that increased in size over evolutionary time, ultimately producing the modern horse.

However, fossil evidence shows remarkably conflicting trends, with increased size in some groups but decreased size in others.

Using computer models simulating evolution, the study identified three distinct patterns of body-size change emerging under different conditions:

Reference: Ecological determinants of Copes rule and its inverse 18 January 2024, Communications Biology. DOI: 10.1038/s42003-023-05375-z

Read more here:

New Evolution Theory Explains Why Animals Shrink Over Time - SciTechDaily

Ecological determinants of Cope’s rule and its inverse | Communications Biology – Nature.com

We determine phylogenies using a process-based community-evolution model that describes changes in two adaptive traits, body size and ecological niche. Body size is a key functional trait with well-documented ecological implication (e.g.,ref.48), and adaptation of this trait alone enables the emergence of trophically structured communities44,46 (see also the reviewin ref.63). The similarity in ecological niche plays a fundamental complementary role in scaling species interactions, with interaction strengths naturally being maximized among individuals occupying the same niche. Accounting for this second trait in our model is a critical prerequisite for more complex processes of evolutionary diversification and, therefore, for the emergence of richer and more realistic community structures64. Below, we explain how these two traits jointly determine demographic dynamics and how gradual adaptive change over evolutionary time creates complex trophically structured ecological communities, complete with their specific phylogenetic histories.

We consider communities comprising (N) heterotrophic species designated by the indices (i=1,ldots ,N) that are interacting among each other and with one basal autotrophic resource designated by the index (i=0). The communitys species richness (N) is changing dynamically, through processes of extinction and speciation, as detailed below. Each species (i) is characterized by its population density ({x}_{i}) and two adaptive traits describing the average body size ({s}_{i}) and ecological niche ({n}_{i}) of its individuals. FollowingBrnnstrmet al.44, we express ({s}_{i}) in nondimensional logarithmic form as ({r}_{i}={{{{mathrm{ln}}}}}({s}_{i}/{s}_{0})), where ({s}_{0}) is the size of the basal autotrophic resource. While population densities and body sizes are necessarily non-negative, niche traits can take non-negative and negative values. We fix the otherwise arbitrary origin of the niche traits by assuming ({n}_{0}=0) for the basal autotrophic resource without loss of generality(.) All model parameters are shown in Table1 together with their default values.

The demographic dynamics of the (N) heterotrophic species (i=1,ldots ,N) and of the one basal autotrophic resource (i=0) are described by LotkaVolterra equations,

$$overbrace{frac{,{dot{x}}_{i}}{{x}_{i}}}^{{{{{{rm{Growth}}}}}}}= -overbrace{,d({r}_{i}),}^{{{{{{rm{Intrinsic}}}}}},{{{{{rm{mortality}}}}}}}+overbrace{mathop{sum }limits_{j=0}^{N}beta P({n}_{i},{n}_{j})p({r}_{i},{r}_{j})lambda exp ({r}_{j}-{r}_{i}){x}_{j}}^{{{{{{rm{Gains}}}}}},{{{{{rm{from}}}}}},{{{{{rm{predation}}}}}}}\ -overbrace{mathop{sum }limits_{j=1}^{N}beta P({n}_{j},{n}_{i})p({r}_{j},{r}_{i}){x}_{j}}^{{{{{{rm{Losses}}}}}},{{{{{rm{from}}}}}},{{{{{rm{predation}}}}}}}-overbrace{mathop{sum }limits_{j=1}^{N}alpha C({n}_{i},{n}_{j})c({r}_{i},{r}_{j}){x}_{j}}^{{{{{{rm{Losses}}}}}},{{{{{rm{from}}}}}},{{{{{rm{competition}}}}}}}$$

(1a)

and

$$overbrace{frac{,{dot{x}}_{0}}{{x}_{0}}}^{{{{{{rm{Growth}}}}}}}=+overbrace{,{g}_{0},}^{{{{{{rm{Intrinsic}}}}}},{{{{{rm{growth}}}}}}}-overbrace{mathop{sum }limits_{j=1}^{N}beta p({r}_{j},0)P({n}_{j},0){x}_{j}}^{{{{{{rm{Losses}}}}}},{{{{{rm{from}}}}}},{{{{{rm{predation}}}}}}}-overbrace{{x}_{0}/{K}_{0}}^{{{{{{rm{Losses}}}}}},{{{{{rm{from}}}}}},{{{{{rm{competition}}}}}}},$$

(1b)

where ({dot{x}}_{i}) denotes the rate at which the population density ({x}_{i}) changes. The terms on the right-hand side of Eq. (1a) are the per-capita rates of, for the heterotrophic species, intrinsic mortality, gains from predation, losses from predation, and losses from interference competition, respectively. Similarly, the terms on the right-hand side of Eq. (1b) are the per-capita rates of, for the basal autotrophic resource, intrinsic growth, losses from predation, and losses from competition, respectively. Gains can be realized through increased fecundity, reduced mortality, or a mixture of both, and, likewise, losses can be realized through reduced fecundity, increased mortality, or a mixture of both.

We consider a species to be extant as long as its population density exceeds the threshold (epsilon); conversely, if and when a species population density falls below this threshold, it is considered extinct and is removed from the community. The parameter (epsilon) can thus be interpreted as a measure of extinction risk resulting from sensitivity to demographic and environmental stochasticity.

The rate of intrinsic mortality and the intensities of predation and interference competition depend on the two adaptive traits. To reflect the energetic advantages of a larger body size over a smaller one, the intrinsic mortality rate is assumed to decline allometrically with the body size ({s}_{i}), and thus exponentially with the logarithmic body size ({r}_{i}), according to an exponent (q), whose value is suggested by Peters48 to equal ~0.25,

$$dleft({r}_{i}right)={d}_{0}{left({s}_{i}/{s}_{0}right)}^{-q}={d}_{0}exp (-q{r}_{i}).$$

(2a)

The intensities of predation and interference competition between individuals of two species (i) and (j) occupying the same niche, ({n}_{i}={n}_{j},) are determined by the ratio of their body sizes ({s}_{i}), and thus by the difference of their logarithmic body sizes ({r}_{i}). A predator of species (i) and logarithmic body size ({r}_{i}) forages on a prey of species (j) and logarithmic body size ({r}_{j}) at an intensity that is assumed to be maximized when their logarithmic body sizes differ by a value (mu) that is optimal for predation,

$$p({r}_{i},{r}_{j})=exp left(-tfrac{1}{2}{({r}_{i}-{r}_{j}-mu )}^{2}/{sigma }_{{{{{{rm{p}}}}}}}^{2}-tfrac{1}{4}{({r}_{i}-{r}_{j})}^{4}/{gamma }_{{{{{{rm{p}}}}}}}^{4}right).$$

(2b)

Similarly the intensity of interference competition between individuals of two species (i) and (j) occupying the same niche and having logarithmic body sizes ({r}_{i}) and ({r}_{j}) is assumed to be symmetrical and maximal for individuals of equal body size,

$$c({r}_{i},{r}_{j})=exp left(-tfrac{1}{2}{({r}_{i}-{r}_{j})}^{2}/{sigma }_{{{{{{rm{c}}}}}}}^{2}-tfrac{1}{4}{({r}_{i}-{r}_{j})}^{4}/{gamma }_{{{{{{rm{c}}}}}}}^{4}right).$$

(2c)

The intensities of predation and interference competition, respectively, between individuals of two species (i) and (j) occupying different niches, ({n}_{i}, ne , {n}_{j}), are reduced by factors described by functions that decline with increasing niche separation,

$$P({n}_{i},{n}_{j})=exp left(-tfrac{1}{2}{({n}_{i}-{n}_{j})}^{2}/{sigma }_{{{{{rm{P}}}}}}^{2}-tfrac{1}{4}{({n}_{i}-{n}_{j})}^{4}/{gamma }_{{{{{rm{P}}}}}}^{4}right)$$

(2d)

and

$$C({n}_{i},{n}_{j})=exp left(-tfrac{1}{2}{({n}_{i}-{n}_{j})}^{2}/{sigma }_{{{{{rm{C}}}}}}^{2}-tfrac{1}{4}{({n}_{i}-{n}_{j})}^{4}/{gamma }_{{{{{rm{C}}}}}}^{4}right).$$

(2e)

To ensure our results are robust when the functions above deviate from Gaussian shapes, we allow platykurtic functions in Eqs. (2c)(2e): specifically, the parameters ({gamma }_{{{{{rm{p}}}}}}), ({gamma }_{{{{{rm{c}}}}}}), ({gamma }_{{{{{rm{P}}}}}}), and ({gamma }_{{{{{rm{C}}}}}}) scale the quartic terms in the exponents above and hence the extent to which those functions are platykurtic, i.e., deviate from Gaussian shapes in the direction of more box-like shapes. Even slight degrees of platykurtosis are known to overcome the historically often overlooked structural instability caused by purely Gaussian functions in models of trait-mediated competition and thereby suffice to enable the ecologically and evolutionarily stable coexistence of phenotypically differentiated discrete species (e.g., refs. 65,66).

In summary, the combined effects of body size and ecological niche on predation and interference competition are given by the products (p({r}_{i},{r}_{j})P({n}_{i},{n}_{j})) and (c({r}_{i},{r}_{j})C({n}_{i},{n}_{j})), respectively, as shown in Eqs. (1).

The evolutionary dynamics of the adaptive traits are determined by the corresponding selection pressures (e.g., refs. 44,45). Writing (F({N;}{x}_{0},ldots ,{x}_{N};{s}_{0},ldots ,{s}_{N};{n}_{0},ldots ,{n}_{N})) for the right-hand side of Eq. (1a), we define the invasion fitness of an initially rare population with trait values ({s}^{{prime} }) and ({n{{hbox{'}}}}) in a community comprising the autotropic basal resource and (N) resident heterotrophic species with population densities ({x}_{0},ldots ,{x}_{N}) and trait values ({s}_{0},ldots ,{s}_{N}) and ({n}_{0},ldots ,{n}_{N}) as

$$f(N{{{{{rm{;}}}}}}x,s,n{{{{{rm{;}}}}}}{s}^{{prime}},{n}^{{prime}} )=mathop{{{{{mathrm{lim}}}}}}limits_{{x}^{{prime} }to 0+}Fleft(N+1{{{{{rm{;}}}}}}{x}_{0},ldots ,{x}_{N},{x}^{{prime} }{{{{{rm{;}}}}}}{s}_{0},ldots ,{s}_{N},{s}^{{prime} }{{{{{rm{;}}}}}}{n}_{0},ldots ,{n}_{N},{n}^{{prime} }right),$$

(3a)

where (x=({x}_{0},ldots ,{x}_{N})), (s=({s}_{0},ldots ,{s}_{N})), and (n=({n}_{0},ldots ,{n}_{N})).

We solve the (N+1) demographic equations in Eqs. (1) alongside (2N) evolutionary equations, one for each trait in each species,

$${dot{s}}_{i}={varepsilon }_{{{{{{rm{s}}}}}}}{left.frac{partial fleft(N{{{{{rm{;}}}}}}x,s,n{{{{{rm{;}}}}}}s^{prime} ,n^{prime} right)}{partial s^{prime} }right|}_{{s}^{{prime} }={s}_{i},{n}^{{prime} }={n}_{i}}$$

(3b)

and

$${dot{n}}_{i}={varepsilon }_{{{{{{rm{n}}}}}}}{left.frac{partial fleft(N{{{{{rm{;}}}}}}x,s,n{{{{{rm{;}}}}}}s^{prime} ,n^{prime} right)}{partial n^{prime} }right|}_{{s}^{{prime} }={s}_{i},{n}^{{prime} }={n}_{i}},$$

(3c)

where ({varepsilon }_{{{{{{rm{s}}}}}}}) and ({varepsilon }_{{{{{{rm{n}}}}}}}) scale the rates of evolutionary change. We assume ({varepsilon }_{{{{{{rm{s}}}}}}}) and ({varepsilon }_{{{{{{rm{n}}}}}}}) to be so small that body sizes and ecological niches are evolving slowly relative to the demographics dynamics.

Evolution of the adaptive traits under directional selection proceeds according to Eqs. (3) until a local fitness minimum is encountered in one or more of the heterotrophic species and selection thus turns disruptive. Specifically, we test whether the magnitudes of the selection pressures, i.e., of the derivatives in Eqs. (3b) and (3c), fall below a prescribed threshold for both adaptive traits. If and when the underlying extremum in a species invasion-fitness landscape given by Eq. (3a) happens to be a minimum, the species is replaced with two species with trait values shifted a fixed distance toward either side of the fitness minimum along the direction of steepest increase (i.e., highest curvature) of invasion fitness, in a process intended to mimic ecological speciation67,68.

Further information on research design is available in theNature Portfolio Reporting Summary linked to this article.

Continue reading here:

Ecological determinants of Cope's rule and its inverse | Communications Biology - Nature.com

Gustavus BMB Major Earns Prestigious Accreditation – The American Society of Biochemistry and Molecular Biology … – Gustavus Adolphus College

Gustavus is one of only nine colleges in Minnesota to receive the ASBMB distinction.

The Gustavus Biochemistry and Molecular Biology (BMB) Program recently learned that it has been accredited by the American Society of Biochemistry and Molecular Biology (ASBMB), the fields professional organization. ASBMB accreditation is a national distinction, rarely bestowed, that will be recognized by graduateand professional schools and science industry employers as confirmation that Gustavus BMB graduates are thoroughly prepared for professional success in the field.

Gustavus already is the top-ranked liberal arts college in Minnesota to offer a BMB major. The College is one of about 100 schools in the U.S. to secure ASBMB accreditation, and one of just nine in Minnesota. BMB faculty members Jeff Dahlseid 90, Heather Haemig, and Janie Frandsen applied for accreditation in fall 2023 to bolster an already well-established program. Gustavus has had up to 20 BMB majors per year since its establishment in the early-1990s, graduating about 14 such majors per year in the past half-decade, making it one of our more popular majors.

Nationwide, schools that offer this major will often offer it as a second major within a biology department, or a second major within the chemistry department, said Dahlseid, the BMB program director. Ours is jointly sponsored by our Biology and Chemistry departments. It doesnt necessarily lean one way or the other, so we better support students with interests anywhere along that continuum.

This flexibility and range of options prepares Gustavus BMB students for career options including teaching, research, medicine, and other industry-specific fields that involve critical thinking and leadership. The accreditation reinforces how our students receive lots of hands-on learning with inquiry-oriented pedagogy, so that students are exceptionally well prepared to take next steps in industry or in graduate schools, where theyll actually need to apply the science theyve learned to real-world problems, Dahlseid said.

The ASBMB accreditation will run through 2030 and was granted because the organization affirmed Gustavus BMBs accomplishments in and commitments to the following areas, among others:

The really cool thing to me about the accreditation is that we didnt do anything different or new in recent years to get it, said Haemig, senior continuing assistant professor in BMB. This doesnt really change anything for those students that have already gone through the program, because we were doing all those things when they were here.

Gustavus has long been one of the only liberal arts colleges in the state of Minnesota to offer a full major in biochemistry and molecular biology, which this accreditation reflects. The fact that the program were offering has been recognized by the external society for the field demonstrates that the education our students are getting in the discipline is robust, said Frandsen, assistant professor in BMB.

She added that even though the BMB major has more course requirements than many other majors at the College, that doesnt keep BMB Gusties from participating in all aspects of Gustavus life in and out of the classroom. If anything, BMB students are more involved than the average Gustavus student, she said. Theyre athletes or in music. They have minors or second majors. Theyre doing it all.

###

Media Contact: Director of Media Relations and Internal Communication Luc Hatlestad luch@gustavus.edu 507-933-7510

Originally posted here:

Gustavus BMB Major Earns Prestigious Accreditation - The American Society of Biochemistry and Molecular Biology ... - Gustavus Adolphus College

Biology faculty member rethinks office hours with student needs first – University Times

By MARTY LEVINE

Every faculty member is required to hold office hours yet training on how to handle them is not part of Ph.D. programs.

When Department of Biological Sciences faculty member Dan Wetzel surveyed 1,225 students in STEM courses in 2020 and 2021, he discovered they were uncertain about attending office hours for many reasons. Not only did they have conflicts with the dates and times, they thought office hours were only for specific questions about the course content.

They also needed more reminders that office hours were available and even needed more encouragement to go. They felt unworthy of attending, ill-prepared to meet with professors, or embarrassed in general to attend.

Knowing from a previous Pitt survey of graduates in 2016 that alumni who report doing very well in their careers had some kind of positive relationship with faculty while here at Pitt, Wetzel designed the project, Help me help you: Enhancing student perception and usage of office hours, which won funding from the latest round of Discipline-Based Science Education Research (dB-SERC) awards for innovative education programs.

Until this survey, we didnt know why students werent coming to office hours, Wetzel said. What can we do to alleviate some of the barriers to office hours and for them to see it as a valuable experience?

He remembered his own early days as a faculty member a decade ago, when he held office hours for the first time in his life. I didnt know what to do here, he said. We have no training on it. There is no pedagogy on it.

In his previous Biostatistics classes, he only had one or two students per week visit him during office hours, and usually with technical questions about what is a very technical course.

This fall, after trying four methods in class to improve office hours use (as proposed in the Help me help you project), a third to a half of the class attended office hours each week.

At the beginning of the semester, he gathered students weekly schedules so he could set office hours when it was most convenient for them, rather than for him.

Second, he began discussing in class on day one why office hours were important.

Third, at least once a week he repeated his invitation to attend.

Fourth, he created specific topics each week for office hours, from designing resumes to using students new programming skills for other tasks outside of class.

A post-class survey, which he is just now assessing, should gauge what their new perceptions of office hours would be and see which of the four interventions worked best.

The ultimate goal is to create graduates who report, as alumni did in 2016, that the increased use of office hours led to a greater sense of self-efficacy and motivation, both inside and outside the classroom.

Something worked this semester, because students were showing up. Did it change any of these other things? I dont know until the data are analyzed, Wetzel says. Once the best of the four interventions is pinpointed, he hopes to adapt it to be used for larger classrooms than his Biostatistics course, which usually has 30 to 36 students.

He plans to enlist other faculty to implement the most effective improvements, perhaps among those who are already participating in the SEISMIC Collaboration 10 institutions, including Pitt, aiming (according to its website) to explore and improve equity and inclusion in foundational STEM courses, of which Wetzel is a part.

Thats because data show that first-year and low-income students are much less likely to attend office hours and are less likely to have resources that they can use in lieu of office hours to get help outside of class. He hopes this pilot intervention will be of particular help to those students.

Marty Levine is a staff writer for the University Times.Reach him at martyl@pitt.edu or412-758-4859.

Have a story idea or news to share?Shareit with the University Times.

Follow the University Times onTwitterandFacebook.

More:

Biology faculty member rethinks office hours with student needs first - University Times

SARS-CoV-2 biology and host interactions – Nature.com

Gorbalenya, A. E. et al. The species severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nat. Microbiol. 5, 536544 (2020).

Article Google Scholar

Zhou, P. et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 579, 270273 (2020).

Article CAS PubMed PubMed Central Google Scholar

Zhu, N. et al. A novel coronavirus from patients with pneumonia in China, 2019. N. Engl. J. Med. 382, 727733 (2020).

Article CAS PubMed PubMed Central Google Scholar

Coronavirus (COVID-19) Dashboard. WHO https://covid19.who.int/ (2022).

Telenti, A., Hodcroft, E. B. & Robertson, D. L. The evolution and biology of SARS-CoV-2 variants. Cold Spring Harb. Persp. Med. 12, a041390 (2022).

Article CAS Google Scholar

Harvey, W. T. et al. SARS-CoV-2 variants, spike mutations and immune escape. Nat. Rev. Microbiol. 19, 409424 (2021).

Article CAS PubMed PubMed Central Google Scholar

Grant, R. et al. When to update COVID-19 vaccine composition. Nat. Med. 29, 776780 (2023).

Article CAS PubMed Google Scholar

Jungreis, I., Sealfon, R. & Kellis, M. SARS-CoV-2 gene content and COVID-19 mutation impact by comparing 44 Sarbecovirus genomes. Nat. Commun. 12, 2642 (2021).

Article CAS PubMed PubMed Central Google Scholar

Jungreis, I. et al. Conflicting and ambiguous names of overlapping ORFs in the SARS-CoV-2 genome: a homology-based resolution. Virology 558, 145151 (2021).

Article CAS PubMed Google Scholar

Finkel, Y. et al. The coding capacity of SARS-CoV-2. Nature 589, 125130 (2020).

Article PubMed Google Scholar

Gordon, D. E. et al. A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature 583, 459468 (2020).

Article CAS PubMed PubMed Central Google Scholar

Kim, D. et al. The architecture of SARS-CoV-2 transcriptome. Cell 181, 914921.e10 (2020).

Article CAS PubMed PubMed Central Google Scholar

Huston, N. C. et al. Comprehensive in vivo secondary structure of the SARS-CoV-2 genome reveals novel regulatory motifs and mechanisms. Mol. Cell 81, 584598.e5 (2021).

Article CAS PubMed PubMed Central Google Scholar

Lan, T. C. T. et al. Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells. Nat. Commun. 13, 1128 (2022).

Article CAS PubMed PubMed Central Google Scholar

Ziv, O. et al. The short- and long-range RNARNA interactome of SARS-CoV-2. Mol. Cell 80, 10671077.e5 (2020).

Article CAS PubMed PubMed Central Google Scholar

Madhugiri, R., Fricke, M., Marz, M. & Ziebuhr, J. Coronavirus cis-acting RNA elements. Adv. Virus Res. 96, 127163 (2016).

Article CAS PubMed PubMed Central Google Scholar

Tidu, A. et al. The viral protein NSP1 acts as a ribosome gatekeeper for shutting down host translation and fostering SARS-CoV-2 translation. RNA 27, 253264 (2021). This publication demonstrated that SARS-CoV-2 relies on stem loop 1 in the 5 UTR to evade the nsp1-induced translational shutoff of its own genes.

Article CAS PubMed Central Google Scholar

Bujanic, L. et al. The key features of SARS-CoV-2 leader and NSP1 required for viral escape of NSP1-mediated repression. RNA 28, 766779 (2022).

Article CAS PubMed PubMed Central Google Scholar

Iserman, C. et al. Genomic RNA elements drive phase separation of the SARS-CoV-2 nucleocapsid. Mol. Cell 80, 10781091.e6 (2020).

Article CAS PubMed PubMed Central Google Scholar

Bhatt, P. R. et al. Structural basis of ribosomal frameshifting during translation of the SARS-CoV-2 RNA genome. Science 372, 13061313 (2021). In-depth structural and biochemical analysis into the mechanism of the programmed ribosomal frameshift for SARS-CoV-2.

Article CAS PubMed PubMed Central Google Scholar

Sun, L. et al. In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs. Cell 184, 18651883.e20 (2021).

Article CAS PubMed PubMed Central Google Scholar

Jackson, C. B., Farzan, M., Chen, B. & Choe, H. Mechanisms of SARS-CoV-2 entry into cells. Nat. Rev. Mol. Cell Biol. 23, 320 (2021). Comprehensive review on SARS-CoV-2 entry mechanism.

Article PubMed PubMed Central Google Scholar

Hoffmann, M., Kleine-Weber, H. & Phlmann, S. A multibasic cleavage site in the spike protein of SARS-CoV-2 is essential for infection of human lung cells. Mol. Cell 78, 779784.e5 (2020). This article highlights the presence of a multibasic S1/S2 cleavage site in the SARS-CoV-2 spike protein that can be cut by furin and is a prerequisite for viral entry into lung cells.

Article CAS PubMed PubMed Central Google Scholar

Hansen, J. et al. Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail. Science 369, 10101014 (2020).

Article CAS PubMed PubMed Central Google Scholar

Robbiani, D. F. et al. Convergent antibody responses to SARS-CoV-2 in convalescent individuals. Nature 584, 437442 (2020).

Article CAS PubMed PubMed Central Google Scholar

Pinto, D. et al. Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody. Nature 583, 290295 (2020).

Article CAS PubMed Google Scholar

Yuan, M. et al. A highly conserved cryptic epitope in the receptor binding domains of SARS-CoV-2 and SARS-CoV. Science 368, 630633 (2020).

Article CAS PubMed PubMed Central Google Scholar

Liu, L. et al. Potent neutralizing antibodies against multiple epitopes on SARS-CoV-2 spike. Nature 584, 450456 (2020). This is one of the first publications to report the receptor-binding domain (RBD) and N-terminal domain (NTD) epitopes as the two main neutralization targets on the SARS-CoV-2 spike protein.

Article CAS PubMed Google Scholar

Chi, X. et al. A neutralizing human antibody binds to the N-terminal domain of the spike protein of SARS-CoV-2. Science 369, 650655 (2020).

Article CAS PubMed PubMed Central Google Scholar

Meng, B. et al. SARS-CoV-2 spike N-terminal domain modulates TMPRSS2-dependent viral entry and fusogenicity. Cell Rep. 40, 111220 (2022). Here, it was shown that the SARS-CoV-2 spike proteins NTD can modulate S1/S2 cleavage and influence TMPRSS2 usage and fusogenicity.

Article CAS PubMed PubMed Central Google Scholar

Hoffmann, M. et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell 181, 271280.e8 (2020). The first publication to confirm that, similar to SARS-CoV, the processing of the SARS-CoV-2 spike protein is mediated by TMPRSS2.

Article CAS PubMed PubMed Central Google Scholar

Zhao, M. M. et al. Cathepsin L plays a key role in SARS-CoV-2 infection in humans and humanized mice and is a promising target for new drug development. Signal. Transduct. Target. Ther. 6, 134 (2021).

Article CAS PubMed PubMed Central Google Scholar

Ziegler, C. G. K. et al. SARS-CoV-2 receptor ACE2 is an interferon-stimulated gene in human airway epithelial cells and is detected in specific cell subsets across tissues. Cell 181, 10161035.e19 (2020).

Article CAS PubMed PubMed Central Google Scholar

Su, M. C. et al. An atypical RNA pseudoknot stimulator and an upstream attenuation signal for 1 ribosomal frameshifting of SARS coronavirus. Nucleic Acids Res. 33, 42654275 (2005).

Article CAS PubMed PubMed Central Google Scholar

Zhang, K. et al. Cryo-EM and antisense targeting of the 28-kDa frameshift stimulation element from the SARS-CoV-2 RNA genome. Nat. Struct. Mol. Biol. 28, 747754 (2021).

Article CAS PubMed PubMed Central Google Scholar

Brierley, I., Digard, P. & Inglis, S. C. Characterization of an efficient coronavirus ribosomal frameshifting signal: requirement for an RNA pseudoknot. Cell 57, 537547 (1989).

Article CAS PubMed PubMed Central Google Scholar

Sun, Y. et al. Restriction of SARS-CoV-2 replication by targeting programmed 1 ribosomal frameshifting. Proc. Natl Acad. Sci. USA 118, e2023051118 (2021).

Article CAS PubMed PubMed Central Google Scholar

Osipiuk, J. et al. Structure of papain-like protease from SARS-CoV-2 and its complexes with non-covalent inhibitors. Nat. Commun. 12, 743 (2021).

Article CAS PubMed PubMed Central Google Scholar

Jin, Z. et al. Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors. Nature 582, 289293 (2020).

Article CAS PubMed Google Scholar

Ziebuhr, J., Snijder, E. J. & Gorbalenya, A. E. Virus-encoded proteinases and proteolytic processing in the Nidovirales. J. Gen. Virol. 81, 853879 (2000).

Article CAS PubMed Google Scholar

Thoms, M. et al. Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2. Science 369, 12491256 (2020). Thoms et al. (2020) and Schubert et al. (2020) elucidate the binding of SARS-CoV-2 nsp1 to the ribosome and cause translational shutdown.

Article CAS PubMed PubMed Central Google Scholar

Schubert, K. et al. SARS-CoV-2 Nsp1 binds the ribosomal mRNA channel to inhibit translation. Nat. Struct. Mol. Biol. 27, 959966 (2020).

Article CAS PubMed Google Scholar

Fisher, T. et al. Parsing the role of NSP1 in SARS-CoV-2 infection. Cell Rep. 39, 110954 (2022).

Article CAS PubMed PubMed Central Google Scholar

Snijder, E. J., Decroly, E. & Ziebuhr, J. The nonstructural proteins directing coronavirus RNA synthesis and processing. In Advances in Virus Research Vol. 96 (ed. Ziebuhr, J.) 59126 (Academic Press, 2016).

Cortese, M. et al. Integrative imaging reveals SARS-CoV-2-induced reshaping of subcellular morphologies. Cell Host Microbe 28, 853866.e5 (2020).

Article CAS PubMed PubMed Central Google Scholar

Snijder, E. J. et al. A unifying structural and functional model of the coronavirus replication organelle: tracking down RNA synthesis. PLoS Biol. 18, e3000715 (2020).

Article CAS PubMed PubMed Central Google Scholar

Wolff, G., Melia, C. E., Snijder, E. J. & Brcena, M. Double-membrane vesicles as platforms for viral replication. Trends Microbiol. 28, 10221033 (2020).

Article CAS PubMed PubMed Central Google Scholar

Klein, S. et al. SARS-CoV-2 structure and replication characterized by in situ cryo-electron tomography. Nat. Commun. 11, 5885 (2020).

Article CAS PubMed PubMed Central Google Scholar

Ricciardi, S. et al. The role of NSP6 in the biogenesis of the SARS-CoV-2 replication organelle. Nature 606, 761768 (2022).

Article CAS PubMed PubMed Central Google Scholar

Twu, W. I. et al. Contribution of autophagy machinery factors to HCV and SARS-CoV-2 replication organelle formation. Cell Rep. 37, 110049 (2021).

Article CAS PubMed PubMed Central Google Scholar

Tabata, K. et al. Convergent use of phosphatidic acid for hepatitis C virus and SARS-CoV-2 replication organelle formation. Nat. Commun. 12, 7276 (2021).

Article CAS PubMed PubMed Central Google Scholar

View post:

SARS-CoV-2 biology and host interactions - Nature.com

Penn State Altoona biology student to offer research presentation – Pennsylvania State University

ALTOONA, Pa. Nicole Flanders, a third-year biology student at Penn State Altoona, will offer a research presentation at the February general meeting of the Spring Creek Chapter of Trout Unlimited.

The organization works to conserve, protect, and restore Spring Creeks coldwater fishery and watershed. Flanders will share the results of her undergraduate research projects on the New Zealand Mud Snail in local waterways.

The meeting will take place at 6 p.m. on Thursday, Feb. 1, at the Comfort Suites in State College.

Read this article:

Penn State Altoona biology student to offer research presentation - Pennsylvania State University

It’s alive! Soil biology and its pivotal role in crop production – Frederick News Post

State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington Washington D.C. West Virginia Wisconsin Wyoming Puerto Rico US Virgin Islands Armed Forces Americas Armed Forces Pacific Armed Forces Europe Northern Mariana Islands Marshall Islands American Samoa Federated States of Micronesia Guam Palau Alberta, Canada British Columbia, Canada Manitoba, Canada New Brunswick, Canada Newfoundland, Canada Nova Scotia, Canada Northwest Territories, Canada Nunavut, Canada Ontario, Canada Prince Edward Island, Canada Quebec, Canada Saskatchewan, Canada Yukon Territory, Canada

Zip Code

Country United States of America US Virgin Islands United States Minor Outlying Islands Canada Mexico, United Mexican States Bahamas, Commonwealth of the Cuba, Republic of Dominican Republic Haiti, Republic of Jamaica Afghanistan Albania, People's Socialist Republic of Algeria, People's Democratic Republic of American Samoa Andorra, Principality of Angola, Republic of Anguilla Antarctica (the territory South of 60 deg S) Antigua and Barbuda Argentina, Argentine Republic Armenia Aruba Australia, Commonwealth of Austria, Republic of Azerbaijan, Republic of Bahrain, Kingdom of Bangladesh, People's Republic of Barbados Belarus Belgium, Kingdom of Belize Benin, People's Republic of Bermuda Bhutan, Kingdom of Bolivia, Republic of Bosnia and Herzegovina Botswana, Republic of Bouvet Island (Bouvetoya) Brazil, Federative Republic of British Indian Ocean Territory (Chagos Archipelago) British Virgin Islands Brunei Darussalam Bulgaria, People's Republic of Burkina Faso Burundi, Republic of Cambodia, Kingdom of Cameroon, United Republic of Cape Verde, Republic of Cayman Islands Central African Republic Chad, Republic of Chile, Republic of China, People's Republic of Christmas Island Cocos (Keeling) Islands Colombia, Republic of Comoros, Union of the Congo, Democratic Republic of Congo, People's Republic of Cook Islands Costa Rica, Republic of Cote D'Ivoire, Ivory Coast, Republic of the Cyprus, Republic of Czech Republic Denmark, Kingdom of Djibouti, Republic of Dominica, Commonwealth of Ecuador, Republic of Egypt, Arab Republic of El Salvador, Republic of Equatorial Guinea, Republic of Eritrea Estonia Ethiopia Faeroe Islands Falkland Islands (Malvinas) Fiji, Republic of the Fiji Islands Finland, Republic of France, French Republic French Guiana French Polynesia French Southern Territories Gabon, Gabonese Republic Gambia, Republic of the Georgia Germany Ghana, Republic of Gibraltar Greece, Hellenic Republic Greenland Grenada Guadaloupe Guam Guatemala, Republic of Guinea, Revolutionary People's Rep'c of Guinea-Bissau, Republic of Guyana, Republic of Heard and McDonald Islands Holy See (Vatican City State) Honduras, Republic of Hong Kong, Special Administrative Region of China Hrvatska (Croatia) Hungary, Hungarian People's Republic Iceland, Republic of India, Republic of Indonesia, Republic of Iran, Islamic Republic of Iraq, Republic of Ireland Israel, State of Italy, Italian Republic Japan Jordan, Hashemite Kingdom of Kazakhstan, Republic of Kenya, Republic of Kiribati, Republic of Korea, Democratic People's Republic of Korea, Republic of Kuwait, State of Kyrgyz Republic Lao People's Democratic Republic Latvia Lebanon, Lebanese Republic Lesotho, Kingdom of Liberia, Republic of Libyan Arab Jamahiriya Liechtenstein, Principality of Lithuania Luxembourg, Grand Duchy of Macao, Special Administrative Region of China Macedonia, the former Yugoslav Republic of Madagascar, Republic of Malawi, Republic of Malaysia Maldives, Republic of Mali, Republic of Malta, Republic of Marshall Islands Martinique Mauritania, Islamic Republic of Mauritius Mayotte Micronesia, Federated States of Moldova, Republic of Monaco, Principality of Mongolia, Mongolian People's Republic Montserrat Morocco, Kingdom of Mozambique, People's Republic of Myanmar Namibia Nauru, Republic of Nepal, Kingdom of Netherlands Antilles Netherlands, Kingdom of the New Caledonia New Zealand Nicaragua, Republic of Niger, Republic of the Nigeria, Federal Republic of Niue, Republic of Norfolk Island Northern Mariana Islands Norway, Kingdom of Oman, Sultanate of Pakistan, Islamic Republic of Palau Palestinian Territory, Occupied Panama, Republic of Papua New Guinea Paraguay, Republic of Peru, Republic of Philippines, Republic of the Pitcairn Island Poland, Polish People's Republic Portugal, Portuguese Republic Puerto Rico Qatar, State of Reunion Romania, Socialist Republic of Russian Federation Rwanda, Rwandese Republic Samoa, Independent State of San Marino, Republic of Sao Tome and Principe, Democratic Republic of Saudi Arabia, Kingdom of Senegal, Republic of Serbia and Montenegro Seychelles, Republic of Sierra Leone, Republic of Singapore, Republic of Slovakia (Slovak Republic) Slovenia Solomon Islands Somalia, Somali Republic South Africa, Republic of South Georgia and the South Sandwich Islands Spain, Spanish State Sri Lanka, Democratic Socialist Republic of St. Helena St. Kitts and Nevis St. Lucia St. Pierre and Miquelon St. Vincent and the Grenadines Sudan, Democratic Republic of the Suriname, Republic of Svalbard & Jan Mayen Islands Swaziland, Kingdom of Sweden, Kingdom of Switzerland, Swiss Confederation Syrian Arab Republic Taiwan, Province of China Tajikistan Tanzania, United Republic of Thailand, Kingdom of Timor-Leste, Democratic Republic of Togo, Togolese Republic Tokelau (Tokelau Islands) Tonga, Kingdom of Trinidad and Tobago, Republic of Tunisia, Republic of Turkey, Republic of Turkmenistan Turks and Caicos Islands Tuvalu Uganda, Republic of Ukraine United Arab Emirates United Kingdom of Great Britain & N. Ireland Uruguay, Eastern Republic of Uzbekistan Vanuatu Venezuela, Bolivarian Republic of Viet Nam, Socialist Republic of Wallis and Futuna Islands Western Sahara Yemen Zambia, Republic of Zimbabwe

Read more:

It's alive! Soil biology and its pivotal role in crop production - Frederick News Post