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Life sciences

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Life sciences are fields of study concerned with living organisms, biological processes, ecosystems, heredity, evolution, health, and the relationships between organisms and their environments. This page serves as a portal for organizing life sciences related learning, teaching, research, and collaborative projects on this wiki. Welcome. This is the life sciences portal.

The life sciences include disciplines that investigate life at many different scales. A researcher might study molecules within a cell, the development of an organism, interactions between species, the evolution of populations, or the functioning of an entire ecosystem. These different levels of study are connected. Changes at the molecular or genetic level can influence organisms, while environmental conditions can influence populations, communities, and evolutionary processes.

Life sciences can also be highly interdisciplinary. Biology overlaps with chemistry, physics, mathematics, computer science, engineering, medicine, environmental science, agriculture, psychology, and many other subjects. Modern research frequently depends upon collaboration among several fields.

Major areas of the life sciences

These fields frequently overlap. A question about disease, for example, might involve microbiology, genetics, cell biology, immunology, epidemiology, and biochemistry. A question about a changing ecosystem might involve ecology, botany, zoology, microbiology, climatology, and environmental science.

The life sciences are therefore useful for learning how different forms of knowledge can be integrated to investigate complex systems.

Learning and research

Life sciences education can involve observation, experimentation, field work, data analysis, literature review, computer modeling, and the development of research questions.

Learning by doing can begin with relatively simple activities. Participants can grow plants under different conditions, observe microorganisms, examine cells, identify organisms, record local biodiversity, compare anatomical structures, investigate inherited traits, or analyze publicly available biological data.

More advanced projects might involve genomic information, ecological modeling, microscopy, laboratory techniques, statistical analysis, computational biology, or large scientific data sets.

Possible learning and research activities include:

  • Observe and document organisms in a local environment.
  • Compare plant growth under different conditions.
  • Study the structure and function of cells.
  • Develop a local biodiversity inventory.
  • Investigate relationships within a food web.
  • Compare anatomical features among species.
  • Study patterns of inheritance.
  • Analyze biological data using computer software.
  • Examine changes in populations over time.
  • Research the evolution of a particular organism.
  • Investigate a biological adaptation.
  • Compare different ecosystems.
  • Review scientific literature about a life sciences question.
  • Develop and test a biological hypothesis.

Participants should clearly distinguish observations, hypotheses, interpretations, and conclusions. Good documentation can make even a small project useful to other learners and researchers.

Levels of biological organization

Life can be studied at many levels of organization.

At the molecular level, biochemistry and molecular biology investigate substances such as proteins, lipids, carbohydrates, DNA, and RNA. At the cellular level, researchers study how cells obtain energy, communicate, reproduce, and maintain their internal environments.

Individual organisms can be studied through anatomy, physiology, development, behavior, and genetics. Populations can be investigated through population biology and evolutionary biology. Communities and ecosystems are studied through ecology and environmental science.

Understanding one level often requires knowledge from another. Genes influence proteins, proteins influence cells, cells form tissues and organisms, organisms interact in populations, and populations interact within ecosystems.

Evolution and heredity

Evolution provides a framework for understanding both the similarities and differences among living organisms. Populations can change over generations as genetic variation interacts with natural selection, genetic drift, migration, mutation, and other processes.

Genetics studies heredity and biological variation. Modern genetics includes research into genes, chromosomes, genomes, gene regulation, inheritance, and the relationships between genetic and environmental influences.

Evolutionary and genetic research can help explain the development of biological diversity, inherited characteristics, adaptation, disease susceptibility, domestication, and relationships among species.

Ecology and the environment

Life does not exist independently from its surroundings. Organisms interact continuously with other organisms and with physical conditions such as temperature, water, nutrients, sunlight, soil, and climate.

Ecology examines relationships among organisms and environments. Ecological research can study populations, communities, food webs, biodiversity, habitats, nutrient cycles, invasive species, conservation, and ecosystem change.

Environmental science draws upon life sciences as well as chemistry, geology, atmospheric science, engineering, and social sciences. Environmental research can investigate pollution, habitat loss, resource use, climate, agriculture, conservation, and strategies for maintaining functional ecosystems.

Life sciences and technology

Technology has greatly expanded what can be studied in the life sciences. Microscopy allows researchers to observe structures that cannot be seen with the unaided eye. DNA sequencing provides information about genomes. Sensors can continuously monitor organisms and environments. Satellites can help researchers observe ecosystems across enormous geographic areas.

Computer science has also become increasingly important. Bioinformatics applies computational methods to biological information. Artificial intelligence and machine learning can be used to analyze images, identify patterns in biological data, model proteins, classify organisms, and assist researchers in working with large data sets.

Biotechnology applies biological knowledge to practical purposes. Applications can include agriculture, medicine, environmental remediation, manufacturing, diagnostics, materials, and industrial processes.

Life sciences and society

Research in the life sciences can affect many aspects of human civilization. Agriculture depends upon knowledge of plants, animals, microorganisms, soils, genetics, and ecosystems. Medicine depends upon anatomy, physiology, biochemistry, microbiology, genetics, pharmacology, and other biological sciences.

Biological research can also contribute to food production, conservation, renewable materials, environmental protection, public health, and the development of new technologies.

Some applications of life sciences raise ethical, economic, legal, and philosophical questions. Genetic modification, cloning, synthetic biology, conservation priorities, animal research, biotechnology ownership, and access to medical technologies can all become subjects of public discussion and research.

  • What characteristics distinguish living organisms from nonliving systems?
  • How are different branches of the life sciences connected?
  • At what levels of biological organization can life be studied?
  • How has technology changed biological research?
  • How can citizen science contribute to life sciences research?
  • What biological questions can be investigated without an advanced laboratory?
  • How can computational tools contribute to biology?
  • What are some of the most important unanswered questions in the life sciences?
  • How can biological research contribute to solving environmental problems?
  • How should potential benefits and risks of biotechnology be evaluated?
  • What relationships exist between genetics, environment, development, and behavior?
  • How can open educational resources make biological knowledge more accessible?
  • Ask an AI system to propose a simple biological experiment and then evaluate whether its experimental design includes appropriate controls.
  • Ask an AI system to compare several explanations for an observed biological phenomenon, then investigate which explanations are supported by scientific evidence.
  • Use an AI system to generate research questions about a local ecosystem, organism, or biological process, then refine the questions into projects that could realistically be investigated.

Readings from Wikipedia

See also