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200+ Biotechnology Research Topics: Let’s Shape the Future

biotechnology research topics

In the dynamic landscape of scientific exploration, biotechnology stands at the forefront, revolutionizing the way we approach healthcare, agriculture, and environmental sustainability. This interdisciplinary field encompasses a vast array of research topics that hold the potential to reshape our world. 

In this blog post, we will delve into the realm of biotechnology research topics, understanding their significance and exploring the diverse avenues that researchers are actively investigating.

Overview of Biotechnology Research

Table of Contents

Biotechnology, at its core, involves the application of biological systems, organisms, or derivatives to develop technologies and products for the benefit of humanity. 

The scope of biotechnology research is broad, covering areas such as genetic engineering, biomedical engineering, environmental biotechnology, and industrial biotechnology. Its interdisciplinary nature makes it a melting pot of ideas and innovations, pushing the boundaries of what is possible.

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How to Select The Best Biotechnology Research Topics?

  • Identify Your Interests

Start by reflecting on your own interests within the broad field of biotechnology. What aspects of biotechnology excite you the most? Identifying your passion will make the research process more engaging.

  • Stay Informed About Current Trends

Keep up with the latest developments and trends in biotechnology. Subscribe to scientific journals, attend conferences, and follow reputable websites to stay informed about cutting-edge research. This will help you identify gaps in knowledge or areas where advancements are needed.

  • Consider Societal Impact

Evaluate the potential societal impact of your chosen research topic. How does it contribute to solving real-world problems? Biotechnology has applications in healthcare, agriculture, environmental conservation, and more. Choose a topic that aligns with the broader goal of improving quality of life or addressing global challenges.

  • Assess Feasibility and Resources

Evaluate the feasibility of your research topic. Consider the availability of resources, including laboratory equipment, funding, and expertise. A well-defined and achievable research plan will increase the likelihood of successful outcomes.

  • Explore Innovation Opportunities

Look for opportunities to contribute to innovation within the field. Consider topics that push the boundaries of current knowledge, introduce novel methodologies, or explore interdisciplinary approaches. Innovation often leads to groundbreaking discoveries.

  • Consult with Mentors and Peers

Seek guidance from mentors, professors, or colleagues who have expertise in biotechnology. Discuss your research interests with them and gather insights. They can provide valuable advice on the feasibility and significance of your chosen topic.

  • Balance Specificity and Breadth

Strike a balance between biotechnology research topics that are specific enough to address a particular aspect of biotechnology and broad enough to allow for meaningful research. A topic that is too narrow may limit your research scope, while one that is too broad may lack focus.

  • Consider Ethical Implications

Be mindful of the ethical implications of your research. Biotechnology, especially areas like genetic engineering, can raise ethical concerns. Ensure that your chosen topic aligns with ethical standards and consider how your research may impact society.

  • Evaluate Industry Relevance

Consider the relevance of your research topic to the biotechnology industry. Industry-relevant research has the potential for practical applications and may attract funding and collaboration opportunities.

  • Stay Flexible and Open-Minded

Be open to refining or adjusting your research topic as you delve deeper into the literature and gather more information. Flexibility is key to adapting to new insights and developments in the field.

200+ Biotechnology Research Topics: Category-Wise

Genetic engineering.

  • CRISPR-Cas9: Recent Advances and Applications
  • Gene Editing for Therapeutic Purposes: Opportunities and Challenges
  • Precision Medicine and Personalized Genomic Therapies
  • Genome Sequencing Technologies: Current State and Future Prospects
  • Synthetic Biology: Engineering New Life Forms
  • Genetic Modification of Crops for Improved Yield and Resistance
  • Ethical Considerations in Human Genetic Engineering
  • Gene Therapy for Neurological Disorders
  • Epigenetics: Understanding the Role of Gene Regulation
  • CRISPR in Agriculture: Enhancing Crop Traits

Biomedical Engineering

  • Tissue Engineering: Creating Organs in the Lab
  • 3D Printing in Biomedical Applications
  • Advances in Drug Delivery Systems
  • Nanotechnology in Medicine: Theranostic Approaches
  • Bioinformatics and Computational Biology in Biomedicine
  • Wearable Biomedical Devices for Health Monitoring
  • Stem Cell Research and Regenerative Medicine
  • Precision Oncology: Tailoring Cancer Treatments
  • Biomaterials for Biomedical Applications
  • Biomechanics in Biomedical Engineering

Environmental Biotechnology

  • Bioremediation of Polluted Environments
  • Waste-to-Energy Technologies: Turning Trash into Power
  • Sustainable Agriculture Practices Using Biotechnology
  • Bioaugmentation in Wastewater Treatment
  • Microbial Fuel Cells: Harnessing Microorganisms for Energy
  • Biotechnology in Conservation Biology
  • Phytoremediation: Plants as Environmental Cleanup Agents
  • Aquaponics: Integration of Aquaculture and Hydroponics
  • Biodiversity Monitoring Using DNA Barcoding
  • Algal Biofuels: A Sustainable Energy Source

Industrial Biotechnology

  • Enzyme Engineering for Industrial Applications
  • Bioprocessing and Bio-manufacturing Innovations
  • Industrial Applications of Microbial Biotechnology
  • Bio-based Materials: Eco-friendly Alternatives
  • Synthetic Biology for Industrial Processes
  • Metabolic Engineering for Chemical Production
  • Industrial Fermentation: Optimization and Scale-up
  • Biocatalysis in Pharmaceutical Industry
  • Advanced Bioprocess Monitoring and Control
  • Green Chemistry: Sustainable Practices in Industry

Emerging Trends in Biotechnology

  • CRISPR-Based Diagnostics: A New Era in Disease Detection
  • Neurobiotechnology: Advancements in Brain-Computer Interfaces
  • Advances in Nanotechnology for Healthcare
  • Computational Biology: Modeling Biological Systems
  • Organoids: Miniature Organs for Drug Testing
  • Genome Editing in Non-Human Organisms
  • Biotechnology and the Internet of Things (IoT)
  • Exosome-based Therapeutics: Potential Applications
  • Biohybrid Systems: Integrating Living and Artificial Components
  • Metagenomics: Exploring Microbial Communities

Ethical and Social Implications

  • Ethical Considerations in CRISPR-Based Gene Editing
  • Privacy Concerns in Personal Genomic Data Sharing
  • Biotechnology and Social Equity: Bridging the Gap
  • Dual-Use Dilemmas in Biotechnological Research
  • Informed Consent in Genetic Testing and Research
  • Accessibility of Biotechnological Therapies: Global Perspectives
  • Human Enhancement Technologies: Ethical Perspectives
  • Biotechnology and Cultural Perspectives on Genetic Modification
  • Social Impact Assessment of Biotechnological Interventions
  • Intellectual Property Rights in Biotechnology

Computational Biology and Bioinformatics

  • Machine Learning in Biomedical Data Analysis
  • Network Biology: Understanding Biological Systems
  • Structural Bioinformatics: Predicting Protein Structures
  • Data Mining in Genomics and Proteomics
  • Systems Biology Approaches in Biotechnology
  • Comparative Genomics: Evolutionary Insights
  • Bioinformatics Tools for Drug Discovery
  • Cloud Computing in Biomedical Research
  • Artificial Intelligence in Diagnostics and Treatment
  • Computational Approaches to Vaccine Design

Health and Medicine

  • Vaccines and Immunotherapy: Advancements in Disease Prevention
  • CRISPR-Based Therapies for Genetic Disorders
  • Infectious Disease Diagnostics Using Biotechnology
  • Telemedicine and Biotechnology Integration
  • Biotechnology in Rare Disease Research
  • Gut Microbiome and Human Health
  • Precision Nutrition: Personalized Diets Using Biotechnology
  • Biotechnology Approaches to Combat Antibiotic Resistance
  • Point-of-Care Diagnostics for Global Health
  • Biotechnology in Aging Research and Longevity

Agricultural Biotechnology

  • CRISPR and Gene Editing in Crop Improvement
  • Precision Agriculture: Integrating Technology for Crop Management
  • Biotechnology Solutions for Food Security
  • RNA Interference in Pest Control
  • Vertical Farming and Biotechnology
  • Plant-Microbe Interactions for Sustainable Agriculture
  • Biofortification: Enhancing Nutritional Content in Crops
  • Smart Farming Technologies and Biotechnology
  • Precision Livestock Farming Using Biotechnological Tools
  • Drought-Tolerant Crops: Biotechnological Approaches

Biotechnology and Education

  • Integrating Biotechnology into STEM Education
  • Virtual Labs in Biotechnology Teaching
  • Biotechnology Outreach Programs for Schools
  • Online Courses in Biotechnology: Accessibility and Quality
  • Hands-on Biotechnology Experiments for Students
  • Bioethics Education in Biotechnology Programs
  • Role of Internships in Biotechnology Education
  • Collaborative Learning in Biotechnology Classrooms
  • Biotechnology Education for Non-Science Majors
  • Addressing Gender Disparities in Biotechnology Education

Funding and Policy

  • Government Funding Initiatives for Biotechnology Research
  • Private Sector Investment in Biotechnology Ventures
  • Impact of Intellectual Property Policies on Biotechnology
  • Ethical Guidelines for Biotechnological Research
  • Public-Private Partnerships in Biotechnology
  • Regulatory Frameworks for Gene Editing Technologies
  • Biotechnology and Global Health Policy
  • Biotechnology Diplomacy: International Collaboration
  • Funding Challenges in Biotechnology Startups
  • Role of Nonprofit Organizations in Biotechnological Research

Biotechnology and the Environment

  • Biotechnology for Air Pollution Control
  • Microbial Sensors for Environmental Monitoring
  • Remote Sensing in Environmental Biotechnology
  • Climate Change Mitigation Using Biotechnology
  • Circular Economy and Biotechnological Innovations
  • Marine Biotechnology for Ocean Conservation
  • Bio-inspired Design for Environmental Solutions
  • Ecological Restoration Using Biotechnological Approaches
  • Impact of Biotechnology on Biodiversity
  • Biotechnology and Sustainable Urban Development

Biosecurity and Biosafety

  • Biosecurity Measures in Biotechnology Laboratories
  • Dual-Use Research and Ethical Considerations
  • Global Collaboration for Biosafety in Biotechnology
  • Security Risks in Gene Editing Technologies
  • Surveillance Technologies in Biotechnological Research
  • Biosecurity Education for Biotechnology Professionals
  • Risk Assessment in Biotechnology Research
  • Bioethics in Biodefense Research
  • Biotechnology and National Security
  • Public Awareness and Biosecurity in Biotechnology

Industry Applications

  • Biotechnology in the Pharmaceutical Industry
  • Bioprocessing Innovations for Drug Production
  • Industrial Enzymes and Their Applications
  • Biotechnology in Food and Beverage Production
  • Applications of Synthetic Biology in Industry
  • Biotechnology in Textile Manufacturing
  • Cosmetic and Personal Care Biotechnology
  • Biotechnological Approaches in Renewable Energy
  • Advanced Materials Production Using Biotechnology
  • Biotechnology in the Automotive Industry

Miscellaneous Topics

  • DNA Barcoding in Species Identification
  • Bioart: The Intersection of Biology and Art
  • Biotechnology in Forensic Science
  • Using Biotechnology to Preserve Cultural Heritage
  • Biohacking: DIY Biology and Citizen Science
  • Microbiome Engineering for Human Health
  • Environmental DNA (eDNA) for Biodiversity Monitoring
  • Biotechnology and Astrobiology: Searching for Life Beyond Earth
  • Biotechnology and Sports Science
  • Biotechnology and the Future of Space Exploration

Challenges and Ethical Considerations in Biotechnology Research

As biotechnology continues to advance, it brings forth a set of challenges and ethical considerations. Biosecurity concerns, especially in the context of gene editing technologies, raise questions about the responsible use of powerful tools like CRISPR. 

Ethical implications of genetic manipulation, such as the creation of designer babies, demand careful consideration and international collaboration to establish guidelines and regulations. 

Moreover, the environmental and social impact of biotechnological interventions must be thoroughly assessed to ensure responsible and sustainable practices.

Funding and Resources for Biotechnology Research

The pursuit of biotechnology research topics requires substantial funding and resources. Government grants and funding agencies play a pivotal role in supporting research initiatives. 

Simultaneously, the private sector, including biotechnology companies and venture capitalists, invest in promising projects. Collaboration and partnerships between academia, industry, and nonprofit organizations further amplify the impact of biotechnological research.

Future Prospects of Biotechnology Research

As we look to the future, the integration of biotechnology with other scientific disciplines holds immense potential. Collaborations with fields like artificial intelligence, materials science, and robotics may lead to unprecedented breakthroughs. 

The development of innovative technologies and their application to global health and sustainability challenges will likely shape the future of biotechnology.

In conclusion, biotechnology research is a dynamic and transformative force with the potential to revolutionize multiple facets of our lives. The exploration of diverse biotechnology research topics, from genetic engineering to emerging trends like synthetic biology and nanobiotechnology, highlights the breadth of possibilities within this field. 

However, researchers must navigate challenges and ethical considerations to ensure that biotechnological advancements are used responsibly for the betterment of society. 

With continued funding, collaboration, and a commitment to ethical practices, the future of biotechnology research holds exciting promise, propelling us towards a more sustainable and technologically advanced world.

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Open Access

The future is bright, the future is biotechnology

* E-mail: [email protected]

Affiliation Public Library of Science, San Francisco, California, United States of America and Cambridge, United Kingdom

ORCID logo

  • Richard Hodge, 
  • on behalf of the PLOS Biology staff editors

PLOS

Published: April 28, 2023

  • https://doi.org/10.1371/journal.pbio.3002135
  • Reader Comments

As PLOS Biology celebrates its 20 th anniversary, our April issue focuses on biotechnology with articles covering different aspects of the field, from genome editing to synthetic biology. With them, we emphasize our interest in expanding our presence in biotechnology research.

Citation: Hodge R, on behalf of the PLOS Biology staff editors (2023) The future is bright, the future is biotechnology. PLoS Biol 21(4): e3002135. https://doi.org/10.1371/journal.pbio.3002135

Copyright: © 2023 Hodge, on behalf of the PLOS Biology staff editors. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The authors received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

The PLOS Biology Staff Editors are Ines Alvarez-Garcia, Joanna Clarke, RichardHodge, Paula Jauregui, Nonia Pariente, Roland Roberts, and Lucas Smith.

This article is part of the PLOS Biology 20th Anniversary Collection.

Biotechnology is a revolutionary branch of science at the forefront of research and innovation that has advanced rapidly in recent years. It is a broad discipline, in which organisms or biological processes are exploited to develop new technologies that have the potential to transform the way we live and work, as well as to boost sustainability and industrial productivity. The new tools and products being generated have a wide range of applications across various sectors, including medicine, agriculture, energy, manufacturing and food.

PLOS Biology has traditionally published research reporting significant advances across a wide range of biological disciplines. However, our scope must continue to evolve as biology increasingly becomes more and more applied, generating technologies with potentially game-changing therapeutic and environmental impact. To that end, we recently published a collection of magazine articles focused on ideas for green biotechnologies that could have an important role in a sustainable future [ 1 ], including how to harness microbial photosynthesis to directly generate electricity [ 2 ] and using microbes to develop carbon “sinks” in the mining industry [ 3 ]. Moreover, throughout this anniversary year we are publishing Perspective articles that take stock of the past 20 years of biological research in a specific field and look forward to what is to come in the next 20 years [ 4 ]; in this issue, these Perspectives focus on different aspects of the broad biotechnology field—synthetic biology [ 5 ] and the use of lipid nanoparticles (LNPs) for the delivery of therapeutics [ 6 ].

One fast moving area within biotechnology is gene editing therapy, which involves the alteration of DNA to treat or prevent disease using techniques such as CRISPR-Cas9 and base editors that enable precise genetic modifications to be made. This approach shows great promise for treating a variety of genetic diseases. Excitingly, promising phase I results of the first in vivo genome editing clinical trial to treat several liver-related diseases were reported at the recent Keystone Symposium on Precision Genome Engineering. This issue of PLOS Biology includes an Essay from Porto and Komor that focuses on the clinical applications of base editor technology [ 7 ], which could enable chronic diseases to be treated with a ‘one-and-done’ therapy, and a Perspective from Hamilton and colleagues that outlines the advances in the development of LNPs for the delivery of nucleic acid-based therapeutics [ 6 ]. LNPs are commonly used as vehicles for the delivery of such therapeutics because they have a low immunogenicity and can be manufactured at scale. However, expanding the toolbox of delivery platforms for these novel therapeutics will be critical to realise their full clinical potential.

Synthetic biology is also a rapidly growing area, whereby artificial or existing biological systems are designed to produce products or enhance cellular function. By using CRISPR to edit genes involved in metabolic pathways, researchers can create organisms that produce valuable compounds such as biofuels, drugs, and industrial chemicals. In their Perspective, Kitano and colleagues take stock of the technological advances that have propelled the “design-build-test-learn” cycle methodology forward in synthetic biology, as well as focusing on how machine-learning approaches can remove the bottlenecks in these pipelines [ 5 ].

While the potential of these technologies is vast, there are also concerns about their safety and ethical implications. Gene editing, in particular, raises ethical concerns, as it could be used to create so-called “designer babies” with specific traits or to enhance physical or mental capabilities. There are also concerns about the unintended consequences of gene editing, such as off-target effects that could cause unintended harm. These technologies can be improved by better understanding the interplay between editing tools and DNA repair pathways, and it will be essential for scientists and policymakers to be cautious and work together to establish guidelines and regulations for their use, as outlined at the recent International Summit on Human Genome Editing .

Basic research has also benefitted from biotechnological developments. For instance, methodological developments in super-resolution microscopy offer researchers the ability to image cells at exquisite detail and answer previously inaccessible research questions. Sequencing technologies such as Nanopore sequencers are revolutionising the ability to sequence long DNA/RNA reads in real time and in the field. Great strides have also been made in the development of analysis software for structural biology purposes, such as sub-tomogram averaging for cryo-EM [ 8 ]. The rate of scientific discovery is now at an unprecedented level in this age of big data as a result of these huge technological leaps.

The past few years has also seen the launch of AI tools such as ChatGPT. While these tools are increasingly being used to help write students homework or to improve the text of scientific papers, generative AI tools hold the potential to transform research and development in the biotechnology industry. The recently developed language model ProGen can generate and then predict function in protein sequences [ 9 ], and these models can also be used to find therapeutically relevant compounds for drug discovery. Protein structure prediction programs, such as AlphaFold [ 10 ] and RosettaFold, have revolutionized structural biology and can be used for a myriad of purposes. We have recently published several papers that have utilized AlphaFold models to develop methods that determine the structural context of post-translational modifications [ 11 ] and predict autophagy-related motifs in proteins [ 12 ].

The future of biotechnology is clearly very promising and we look forward to being part of the dissemination of these important new developments. Open access science sits at the core of our mission and the publication of these novel technologies in PLOS Biology can help their widespread adoption and ensure global access. As we look forward during this year of celebration, we are excited that biotechnology research will continue to grow and become a central part of the journal. The future is bright and the future is very much biotechnology.

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Top 50 Emerging Research Topics in Biotechnology

Trending Research Topics in Biotechnology

Dr. Sowndarya Somasundaram

Biotechnology is a dynamic field that continuously shapes our world, enabling innovation, breakthroughs, and solutions to various challenges. As we move into the future, numerous emerging research areas promise to revolutionize healthcare, agriculture, environmental sustainability, and more. The top 50 emerging research topics in biotechnology are presented in this article.

1. Gene Editing and Genomic Engineering

an artist s illustration of artificial intelligence ai this image depicts how ai could assist in genomic studies and its applications it was created by artist nidia dias as part of the

a. CRISPR and Gene Editing

Precision Medicine : Developing targeted therapies for various diseases using CRISPR/Cas9 and other gene-editing tools.

Ethical Implications : Exploring and addressing ethical concerns surrounding CRISPR use in human embryos and germline editing.

Agricultural Advancements : Enhancing crop resistance and nutritional content through gene editing of improved farm outcomes.

Gene Drive Technology : Investigating the potential of gene drive technology to control vector-borne diseases like malaria and dengue fever.

Regulatory Frameworks : Establishing global regulations for responsible gene editing applications in different fields.

b. Synthetic Biology

Bioengineering Microbes : Creating engineered microorganisms for sustainable production of fuels, pharmaceuticals, and materials.

Designer Organisms : Designing novel organisms with specific functionalities for environmental remediation or industrial processes.

Cell-Free Systems : Developing cell-free systems for various applications, including drug production and biosensors.

Biosecurity Measures : Addressing concerns regarding the potential misuse of synthetic biology for bioterrorism.

Standardization and Automation : Standardizing synthetic biology methodologies and automating processes to streamline production.

2. Personalized Medicine and Pharmacogenomics

green purple flower

a. Precision Medicine

Individualized Treatment : Tailoring medical treatment based on a person’s genetic makeup and environmental factors.

Cancer Therapy : Advancing targeted cancer therapies based on the genetic profile of tumors and patients.

Data Analytics : Implementing big data and AI for comprehensive analysis of genomic and clinical data to improve treatment outcomes.

Clinical Implementation : Integrating genetic testing into routine clinical practice for personalized healthcare.

Public Health and Policy : Addressing the challenges of integrating personalized medicine into public health policies and practices.

b. Pharmacogenomics

Drug Development : Optimizing drug development based on individual genetic variations to improve efficacy and reduce side effects.

Adverse Drug Reactions : Understanding genetic predispositions to adverse drug reactions and minimizing risks.

Dosing Optimization : Tailoring drug dosage based on an individual’s genetic profile for better treatment outcomes.

Economic Implications : Assessing the economic impact of pharmacogenomics on healthcare systems.

Education and Training : Educating healthcare professionals on integrating pharmacogenomic data into clinical practice.

3. Nanobiotechnology and Nanomedicine

thermometer on medical pills

a. Nanoparticles in Medicine

Drug Delivery Systems : Developing targeted drug delivery systems using nanoparticles for enhanced efficacy and reduced side effects.

Theranostics : Integrating diagnostics and therapeutics through nanomaterials for personalized medicine.

Imaging Techniques : Advancing imaging technologies using nanoparticles for better resolution and early disease detection.

Biocompatibility and Safety : Ensuring the safety and biocompatibility of nanoparticles used in medicine.

Regulatory Frameworks : Establishing regulations for the use of nanomaterials in medical applications.

b. Nanosensors and Diagnostics

Point-of-Care Diagnostics : Developing portable and rapid diagnostic tools for various diseases using nanotechnology.

Biosensors : Creating highly sensitive biosensors for detecting biomarkers and pathogens in healthcare and environmental monitoring.

Wearable Health Monitors : Integrating nanosensors into wearable devices for continuous health monitoring.

Challenges and Limitations : Addressing challenges in scalability, reproducibility, and cost-effectiveness of nanosensor technologies.

Future Applications : Exploring potential applications of nanosensors beyond healthcare, such as environmental monitoring and food safety.

4. Immunotherapy and Vaccine Development

person holding syringe and vaccine bottle

a. Cancer Immunotherapy

Immune Checkpoint Inhibitors : Enhancing the efficacy of immune checkpoint inhibitors and understanding resistance mechanisms.

CAR-T Cell Therapy : Improving CAR-T cell therapy for a wider range of cancers and reducing associated side effects.

Combination Therapies : Investigating combination therapies for better outcomes in cancer treatment.

Biomarkers and Predictive Models : Identifying predictive biomarkers for immunotherapy response.

Long-Term Effects : Studying the long-term effects and immune-related adverse events of immunotherapies.

b. Vaccine Technology

mRNA Vaccines : Advancing mRNA vaccine technology for various infectious diseases and cancers.

Universal Vaccines : Developing universal vaccines targeting multiple strains of viruses and bacteria.

Vaccine Delivery Systems : Innovating vaccine delivery methods for improved stability and efficacy.

Vaccine Hesitancy : Addressing vaccine hesitancy through education, communication, and community engagement.

Pandemic Preparedness : Developing strategies for rapid vaccine development and deployment during global health crises.

5. Environmental Biotechnology and Sustainability

person holding pine cone

a. Bioremediation and Bioenergy

Biodegradation Techniques : Using biotechnology to enhance the degradation of pollutants and contaminants in the environment.

Biofuels : Developing sustainable biofuel production methods from renewable resources.

Microbial Fuel Cells : Harnessing microbial fuel cells for energy generation from organic waste.

Circular Economy : Integrating biotechnological solutions for a circular economy and waste management.

Ecosystem Restoration : Using biotechnology for the restoration of ecosystems affected by pollution and climate change.

b. Agricultural Biotechnology

Genetically Modified Crops : Advancing genetically modified crops for improved yields, pest resistance, and nutritional content.

Precision Agriculture : Implementing biotechnological tools for precise and sustainable farming practices.

Climate-Resilient Crops : Developing crops resilient to climate change-induced stresses.

Micro-biome Applications : Leveraging the plant micro-biome for enhanced crop health and productivity.

Consumer Acceptance and Regulation : Addressing consumer concerns and regulatory challenges related to genetically modified crops.

The field of biotechnology is a beacon of hope for addressing the challenges of our time, offering promising solutions for healthcare, sustainability, and more. As researchers explore these emerging topics, the potential for ground-breaking discoveries and transformative applications is immense.

I hope this article will help you to find the top research topics in biotechnology that promise to revolutionize healthcare, agriculture, environmental sustainability, and more.

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Biotechnology for Tomorrow’s World: Scenarios to Guide Directions for Future Innovation

Marc cornelissen.

1 BASF Agricultural Solutions Belgium NV, Gent, Belgium

Aleksandra Małyska

2 European Commission DG Research and Innovation, Brussels, Belgium

Amrit Kaur Nanda

3 Plants for the Future’ European Technology Platform, Brussels, Belgium

René Klein Lankhorst

4 Wageningen University and Research, Wageningen, The Netherlands

Martin A.J. Parry

5 Lancaster University, Lancaster Environment Centre, Lancaster, Lancashire, UK

Vandasue Rodrigues Saltenis

6 Copenhagen Plant Science Centre (CPSC), Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark

Mathias Pribil

Philippe nacry.

7 Biochemistry and Plant Molecular Physiology CNRS/INRAE/SupAgro/Univ. Montpellier, Montpellier, France

Dirk Inzé

8 Ghent University, Department of Plant Biotechnology, Gent, Belgium

9 VIB Centre for Plant Systems Biology, Gent, Belgium

Alexandra Baekelandt

Depending on how the future will unfold, today’s progress in biotechnology research has greater or lesser potential to be the basis of subsequent innovation. Tracking progress against indicators for different future scenarios will help to focus, emphasize, or de-emphasize discovery research in a timely manner and to maximize the chance for successful innovation. In this paper, we show how learning scenarios with a 2050 time horizon help to recognize the implications of political and societal developments on the innovation potential of ongoing biotechnological research. We also propose a model to further increase open innovation between academia and the biotechnology value chain to help fundamental research explore discovery fields that have a greater chance to be valuable for applied research.

Developing Scenarios for Biotechnology in Complex Social Systems

Biological science is expanding its knowledge frontiers at an ever-accelerating pace. The progressing insights into biological processes offer a broadening array of options to develop incremental and differential innovations across the medical, agricultural, and industrial biotechnology sectors.

As timelines from understanding basic biological processes to the conception of an innovation and the development of a marketable product may range from 10 to 25 years, a prime question for today’s biotechnology discovery research is ‘innovation for what future world?’ ( Figure 1 ).

Figure 1

Innovation Flow.

In the coming 15 years, the market will be served by R&D that is performed today. Different biotechnology sectors address changes in demand by repositioning and emphasizing what is in today’s pipeline. New R&D and public research ideally address the demand of the future market. Scenario analysis is well suited to narrow down the most promising fields of investigation and to address the unmet needs of future markets. Abbreviations: R, research; D, development.

To this end, in 2019, we conducted a first-of-its-kind scenario analysis with a 2050 time horizon to understand the option space of agricultural biotechnology. i Forty-five trends and 22 uncertainties dealing with the entire agricultural socioeconomic system were reviewed to map the range of directions the future may take and to narrow down how agricultural biotechnology could best future-proof food, nutrition, and health security. Trends ranged from consumer and demographics, farming and technology to politics, economy, and societal developments while identified uncertainties were clustered around three themes: needs for adaptation, priorities in the value chain, and the role of science ( Figure 2 ).

Figure 2

Trends and Uncertainties.

Trends are considered developments going in a certain direction, while uncertainties can determine distinct outcomes with very different implications. Here the two most extreme ways that the uncertainties could play out are presented. Examples of specific uncertainties clustered around three more general themes are provided in the footnote. The exercise delivered four contrasting learning scenarios by detailing out specific aspects of possible future worlds and making them as concrete and vivid as possible ( Figure 3 ). As the selected trends and uncertainties deal with society, environment, innovation, and policy, the learning scenarios helped to characterize implications not only for the future of agriculture in Europe, which was the initial scope of the scenario building, but they can also serve to aid decisions on future research and innovation (R&I) investments in other fields of biotechnology globally. Abbreviations: AI, artificial intelligence; AR, augmented reality; NBT, new breeding technique; VR, virtual reality.

In order to identify toward which scenario today’s world is heading, relevant indicators need to be developed [ 1 , 2 ]. For this, the critical developments or events that will be necessary for a scenario to arise need to be named, put in a chronological order through narratives, and checked for their informative value. Learning scenarios are reusable, and the scope of the indicators identified will depend on the diversity of expertise within the team exploiting the learning scenarios ( Figure 3 ). Obvious examples of indicators are the developments around the legislation related to gene editing in the Bio-innovation and REJECTech scenario or personal data protection regulations in the My Choice scenario, while for instance the evolution of water availability in a particular country can be an indicator for Food Emergency, as well as for Bio-innovation or REJECTech.

Figure 3

Learning Scenarios.

Four contrasting learning scenarios enable us to delineate the option space for the direction and context of future biotechnology. Bio-innovation : Biotechnology solutions are intensively used and sustainably provide sufficient high-quality food and large-volume feedstock for a thriving bioeconomy; My Choice : Health and sustainability concerns drive all sectors to be diverse and transparent; meeting the needs and preferences of individuals, personalized medicine, and nutrition are the norm; REJECTech : Consumers have little trust in politicians, scientists, and big industry. Society is highly polarized and rejects biotechnology-derived products and services, despite dissatisfaction about missed opportunities, such as a broad adoption of the bioeconomy due to limited agricultural production; Food Emergency : Due to severe environmental degradation, the world is struggling to fulfill basic food demand. In response to the crisis, global adoption of innovation, including biotechnology, occurs to mitigate impacts.

Steering Focus in Biotechnology Discovery Research with Scenarios

The way the world will evolve will depend on a myriad of developments. Examples are the transition to renewable energy and decentralized storage, the global policy approach to enable the use of new genomic technologies, patients embracing new treatments, society buying into preventive medicine or demanding transparency about food properties, dietary shifts, development of new high-tech materials, shifts in lifestyle, and progress in robotics and artificial intelligence. Following such developments and extrapolating their long-term impact on the way we live may inspire scientists to take a translational step and to open avenues of biotechnology discovery research that would provide the starting basis for research and innovation (R&I) addressing future needs.

Biotechnology discovery research will undoubtedly be at the core of numerous innovations that will reach society by 2050. However, depending on how the future will unfold, today’s progress in biotechnology research has a greater or lesser potential to be the basis of subsequent innovation. In addition, the lack of a widespread open innovation culture between industry and academia increases the risk of missing out on innovation that trend-wise is likely to meet industry or consumer demand.

For example, it is clear that the demand for climate change-related biotechnology innovation will be high, and will be supported by policy makers [ 3 , 4 ]. However, what the unmet needs will be for the different stakeholder groups is still unclear. Effects on cities, gardens, parks, lakes, and crop fields linked to shifts and volatility in weather and the resulting new environmental conditions, including new pests and diseases, are not yet fully appreciated. Consequently, a translational step from innovation opportunity to required new knowledge is not obvious. Similarly, it is not clear how to incorporate innovation into products [ 5 ]. It may range from gene editing to novel knowledge-driven, societally accepted workflows that are not yet in place. The first activity, developing climate change know–how, has a low risk of not being of relevance. The second, developing biotechnology innovation addressing climate change, is dependent on how policies develop across the globe, and therefore carries a higher risk [ 6 ]. For example, whereas it is conceivable in a bio-innovation world that society may see a broad replacement of fossil-based synthetic materials by bio-based alternatives, such a development is less likely to occur in a REJECTech setting, as although the know–how to do so would exist, the technical enablement would not be supported.

Another example relates to the exploitation of the microbiome. As microbes impact most, if not all, complex ecological systems, exploitation of biological know–how is expected to offer innovation options in a broad range of biotechnology fields and be at the core of new markets and business models. These may include medicine, health care, food systems, industrial and household processes and materials, resource recycling, and energy capture. For this to become reality, broad fundamental biotechnology discovery research on microbiomes needs to reach a tipping point, so that R&I for smaller and bigger opportunities across sectors becomes viable [ 7 ]. This necessitates a major public effort to advance precompetitive know–how and an enablement to a level sufficient for sector adoption within a reasonable risk perspective on a return of investment. A flagship approach in, for example, medicine building on ongoing big data efforts, such as in the human ‘100K genomes project’ ii , may serve as a vehicle to reach, in a 5-year time span, the desired state of enablement and allow smaller initiatives to build on this cost-effectively. However, an entrepreneurial ecosystem is critical for this to happen, implying that such developments are more likely to occur under a Bio-innovation scenario or even in a Food Emergency scenario, once society starts prioritizing access to food and health.

A third example refers to diet shifts toward alternative protein sources. Consumer choice strongly depends on food properties such as taste, texture, palatability, color, convenience, and price. Making alternative protein products competitive to meat would require, among other improvements, major advances in biological insights to upgrade food sources [ 8 ]. The challenge is to get specific on the carriers, such as algae, insects, crops, fermentation, and so on, and the exact properties, so that the investments in biotechnology discovery have a practical effect. How to do this successfully is not obvious as it is currently not clear which products and product properties will match future market demands. This re-emphasizes the importance of contrasting learning scenarios and the need to identify scenario-specific indicators to get insights early in time about how particular trends are panning out. These indicators may relate to yes/no decision points in policy development, or the timely establishment of critical enabling technologies or of sizeable consumer demands. Tracking progress of multiple, scenario-specific indicators thus helps to steer focus in discovery research and to emphasize or de-emphasize timely manner to maximize the chance for successful innovation.

A current real-life example is the COVID-19 (coronavirus disease 2019) pandemic, an occurrence that was not foreseen because of which only relatively small and scattered efforts of research have been conducted prior to the pandemic. The current R&I race to develop a cure and vaccine against COVID-19 would have greatly benefitted from an advanced knowledge on coronaviruses, obtained through biotechnology discovery research [ 9 , 10 ]. Of course, in hindsight it is easy to highlight what should have been done. In practice, there are several million viruses in the world, over 200 of which are known to infect humans. Conducting extensive research on all these viruses in parallel would be too labor-intensive and unsustainable from an economical point of view. However, the current crisis reveals the advantage in time the use of scenario indicators can offer to international and local organizations dealing with public health. Such indicators might have flagged previous smaller outbreaks of other coronaviruses such as SARS (severe acute respiratory syndrome) and MERS (Middle East respiratory syndrome) in the past two decades. These outbreaks could then have been predictive for scenarios in which coronaviruses would become a major threat to human health, and could have triggered dedicated funding to advance specific biotechnological know–how, as well as to develop strategies to minimize the spread of this type of disease. Major funding is currently being gathered to mitigate the consequences of the COVID-19 crisis, including $8 billion pledged by world leaders to support dedicated R&I iii . However, today’s continuing need to conduct significant biotechnology discovery research means that time, not necessarily funding per se , is a bottleneck. Along the same lines, developing scenarios today to understand how the future may unfold in the context of the COVID-19 pandemic could help anticipate the long-term consequences of the actions that are being taken and could allow countries, states, and communities to react to the crisis more effectively. In the context of the scenarios presented in Figure 3 , the current pandemic emerges as a relevant indicator for the Food Emergency scenario. A global economic crisis may put critical agricultural supply chains at risk, such that food security becomes an even greater issue in certain world regions.

Concluding Remarks

The aforementioned biotechnology examples demonstrate the risk of a low innovation output when the founding know–how obtained from discovery research is not readily available and accessible in a usable format. The timely availability of founding know–how may greatly improve by adopting the use of learning scenarios and the tracking of progress against indicators for these scenarios. To make such an approach effective, several outstanding issues need to be addressed first (see Outstanding Questions).

We strongly believe that to improve the innovation output, the discussion should go beyond financial instruments and creativity. Rather, we would recommend looking at how the innovation ecosystem functions [ 11 ]. To maximize the utility of advances in know–how, the current working principles between academia, value chain players, and society would benefit from extensive review. Biological science needs a continuous cross-stakeholder interaction to move more efficiently from discovery to innovation. To steer biotechnological R&I more efficiently, an open innovation governance concept to deal with precompetitive and competitive big data information and activities is an absolute prerequisite.

We therefore propose to install virtual innovation workflows spanning academia and value chain players to address societal demands ( Figure 4 ). The idea is to set up dedicated ecosystem knowledge bases that serve, for example, the medical, agricultural, or industrial biotechnology sectors or serve a broad innovation field such as the microbiome. These ecosystem knowledge bases should harbor harmonized and curated data in formats tailored to stakeholder use requirements. Such requirements can be defined for each of the biotechnology fields in a two-step process. First the generic workflow at handover points between academia and value chain players should be described, followed by the data and format requirements in this generic workflow, which would be necessary to start. These processes should ideally be described in both directions. In addition, users extracting information with their own software, if private, should commit to upload outcomes that are made anonymous, so that the next round of experimental questions can consider advanced information, and the knowledge base increases over time both in scope and in predictiveness.

Figure 4

Outline of a Future ‘Virtual Innovation Workflow’ Driven by Biotechnology Big Data Governance.

An example is given for agricultural innovation in Europe. To meaningfully contribute to the EU Green Deal, a rejuvenation of the agricultural ecosystem including academia, breeding and R&D companies, farm supply industry, and farmers is desirable. Required innovations should address environmental sustainability, impacts of increased weather volatility, climate change and associated pest and disease development, the European protein plan, development of more healthy and nutritious food, and an enablement of the bioeconomy. It should offer a lever to improve farm economics structurally through product branding and traceability. The novelty of the proposed ‘virtual innovation workflow’ is the bidirectional handover of outcomes and the holistic integration of data coming from plant, microbial, soil, agronomy, robotization, machine learning, modeling, and weather/climate disciplines. Critical success factors are, among others, the alignment of key performance indicators of stakeholders, incentives to participate, an open innovation attitude, a common benchmark to measure progress, smartly located research field stations, dedicated data centers with a user-oriented data curation, harmonization, storage and display approach, and an agreeable data governance concept. A pipeline of consecutive innovations can be primed by raising, over time, the requirements to successfully pass the formal variety testing and registration process. Customer demand (not shown) is in this example translated to requirements for official variety testing trials that, for example, meet progressively increasing levels of sustainability.

To make this workable and sustainable, appropriate business models and governance concepts to deal with, among others, data ownership and intellectual property need to be developed, and dedicated data stewardship teams need to be installed. Setting this up will likely need several rounds of optimization to reach the best compromise between stakeholder interests. Yet, it is well positioned to improve the overall flow of innovation to the market and to offer the desired flexibility to deal with upcoming trends in an ever-changing world.

Outstanding Questions

How to motivate all relevant stakeholders to jointly develop a common understanding of learning scenarios and their impact?

How to ensure that scenarios are updated in a timely manner to address specific developments over time, including aspects that were not covered during earlier scenario exercises?

How to organize the tracking of indicators and the dissemination of weaker and stronger signals that may indicate direction of change before any of the scenarios fully materializes?

How to improve the quality of scenario development and its utilization by the latest developments in digitalization and artificial intelligence?

Alt-text: Outstanding Questions

Acknowledgments

The authors thank Dr Axel Sommer for his support and guidance on Scenario Analysis carried out under CropBooster-P. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 817690.

Disclaimer Statement

Responsibility for the information and views set out in this article lies entirely with the authors and do not necessarily reflect the official opinion of the European Commission.

i https://www.cropbooster-p.eu/

ii https://www.genomicsengland.co.uk/

iii https://www.reuters.com/article/us-health-coronavirus-eu-virus/world-leaders-pledge-8-billion-to-fight-covid-19-but-us-steers-clear-idUSKBN22G0RM

Top 50 Research Topics in Biotechnology

Top 50 Research Topics in Biotechnology

Table of Contents

Biotechnology

Research in biotechnology can helps in bringing massive changes in humankind and lead to a better life. In the last few years, there have been so many leaps, and paces of innovations as scientists worldwide worked to develop and produce novel mRNA vaccinations and brought some significant developments in biotechnology. During this period, they also faced many challenges. Disturbances in the supply chain and the pandemic significantly impacted biotech labs and researchers, forcing lab managers to become ingenious in buying lab supplies, planning experiments, and using technology for maintaining research schedules.

The Biotech Research Technique is changing

How research is being done is changing, as also how scientists are conducting it. Affected by both B2C eCommerce and growing independence in remote and cloud-dependent working, most of the biotechnology labs are going through some digital transformations. This implies more software, automation, and AI in the biotech lab, along with some latest digital procurement plans and integrated systems for various lab operations.

Look at some of the top trends in biotech research and recent Biotechnology Topics that are bringing massive changes in this vast world of science, resulting in some innovation in life sciences and biotechnology ideas .

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Animal biotechnology articles from across Nature Portfolio

Animal biotechnology is a branch of biotechnology in which molecular biology techniques are used to genetically engineer (i.e. modify the genome of) animals in order to improve their suitability for pharmaceutical, agricultural or industrial applications. Animal biotechnology has been used to produce genetically modified animals that synthesize therapeutic proteins, have improved growth rates or are resistant to disease.

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Hot Research Topics in Biotech in 2022

recent research topics in biotechnology

The past few years years have seen leaps and strides of innovation as scientists have worked to develop and produce new mRNA vaccinations and made major developments in biotech research. During this time, they’ve also faced challenges. Ongoing supply chain disruptions , the Great Resignation, and the pandemic have impacted biotech labs and researchers greatly, forcing lab managers and PIs to get creative with lab supply purchasing, experiment planning, and the use of technology in order to maintain their research schedules.

“The pace of innovation specific to COVID to be able to develop both medicines related to antibodies as well as vaccines is just staggering. Those of us in the industry are in awe of the innovation we’re witnessing on a daily basis. We’ve been behind in the use of automation, software, and AI that can make our industry more efficient — that’s where we’re headed,” says Michelle Dipp, Cofounder and Managing Partner, Biospring Partners on the This is ZAGENO podcast .

At the start of 2022, current biotech research projects are exploring advancements in medicine, vaccines, the human body and treatment of disease, bacteria and immunology, and viruses like the Coronavirus that affected the globe in ways we couldn’t have anticipated.

Biotech Research Processes are Changing

As Michelle explained, the research that’s happening is changing, and so is the way that scientists conduct it. Influenced by both B2C ecommerce and the growing dependence on remote and cloud-based working, biotech labs are undergoing digital transformations . This means more software, AI, and automation in the lab, along with modern digital procurement strategies and integrated systems for lab operations.

Here are some of the top biotech research trends and recent biotech research papers that are changing the world of science and leading to innovation in life sciences.

Top 6 Biotech Research Topics for 2022

Science journals have never been more popular as they’ve been in the past several years. Resonating with the general public, biotech research papers have found their way into the hands and social media streams of interested citizens and scientists alike.

As we look to the most credible, peer-reviewed sources for recent innovations like PubMed , the Journal of Biotechnology , BioTech , and Biotechnology Journal , the trending themes in biotech research are in direct response to COVID-19, like vaccine development, respiratory virus research, and RNA-based pharmaceuticals. Additionally, there have been major advances in metabolism and the human microbiome, as well as further exploration in microvesicles.

All of the research happening has the potential to change millions of people’s quality of life, prevent and treat illnesses that currently have high mortality rates, and change healthcare around the world.

Here's what's happening in biotech research.

1. Vaccine Development mRNA vaccine development has been in the works since 1989 and was accelerated in recent years to combat the global COVID-19 pandemic. Researchers like Maruggi, Zhang, Li, Ulmer, Yu and their team believe that mRNA vaccines could change infectious disease control as we know it as a prophylactic means of disease prevention for diseases like HIV, Zika, and the flu.

Recent developments in mRNA research from Pardi, Hogan, and Weissman in 2020 explored the ways that mRNA vaccines can combat certain cancers and infectious pathogens that were previously resistant to existing vaccine options.

With new access to data from the 3.4 billion+ COVID-19 mRNA vaccines that have been administered worldwide, researchers have been able to determine the risks associated with mRNA vaccines , which brings forward new topics for research in the medical and pharmaceutical sides of the biotech industry. mRNA vaccines are faster to develop and can help prevent more diseases than traditional vaccine methods.

2. Respiratory Viruses Acute respiratory diseases (ARDs) like those caused by the SARS-CoV pathogen or the influenza virus lead to morbidity and mortality, and can lead to pneumonia, which can be fatal for immunocompromised or elderly patients — they represent a huge impact to human society.

Identifying the cause of ARDs and identifying viral infections from COVID-19 has become an issue of public health and safety, leading research groups like Zhang, Wang, and team to seek out more accurate and faster ways to detect respiratory viruses .

Understanding these respiratory virus mechanisms can help lead to better protection, prevention, and treatments for respiratory viruses, which have a mortality rate of up to 78% .

3. RNA-based Therapeutics RNA-based treatments like modified non-coding RNAs (ncRNAs), microRNAs (miRNAs), and others have been developed and studied by teams like Feng, Patil, et al (2021) to treat various diseases and conditions, including pancreatic cancer, acute renal failure, acute kidney injuries, diabetic macular edema, and advanced solid tumors.

In 2022, we expect to see further development of RNA-based therapeutics, like CAR T cells and other gene/cell therapeutics, therapeutic antibodies, and small molecular drugs to treat even more diseases and for prophylactic purposes as well.

4. Microvesicles + Extracellular Vesicles Microvesicles are coming to light due to their involvement in transporting mRNA, miRNA, and proteins — but how else might they support the human body? There are unknown functions of microvesicles and other extracellular vesicles that have yet to be discovered.

In 2020, Ratajczak and Ratajczak found that understanding microvesicles (or exosomes, microparticles) could mean understanding cell-to-cell communication , and their research showed that extracellular vesicles could transfer mRNA and proteins and modify stem cells ex vivo. This year, we look forward to seeing more research on what these tiny cell parts can do.

5. Metabolism in Cancers + Other Diseases Metabolism is the process of energy conversion in organisms and it represents the chemical reactions that sustain life. Recent research on metabolism in cancers and in immune cells has uncovered new ways to approach treatment and prevention of certain illnesses.

Take a look at Matsushita, Nakagawa, and Koike’s (2021) research on lipid metabolism in oncology and how recent advances in lipidomics technology and mass spectrometry have opened the door for new analysis of lipid profiles of certain cancers.

6. The Human Microbiome The human microbiome hosts bacteria, microorganisms, and other naturally-occurring flora that can help us and harm us. Diet, stress, drugs, and other factors shape the microbiome, leading to inflammation and an immune response of cytokines. Recent machine learning and statistical analyses of microbiome data , like that of Indias, Lahti, Nedyalkova, and team (2021) are getting smarter and smarter by removing variables and providing ways to test new hypotheses using statistical modeling.

With a deeper understanding of the microbiome, researchers like David Sinclair have shown that lifestyle changes can actually help people live healthier lives for longer . Sinclair’s lab is at the forefront of aging research and its impact on healthcare — and it’s all rooted in biotechnology and life science experiments.

Recent updates to ICD-11 and its classification of aging as a disease have led to debate, with Sinclair and colleagues advocating for the ongoing paradigm shift that biological age and chronological age are not synonymous. The implications for longevity and aging research from a funding perspective will be impacted by WHO and NIH decisions, and we anticipate seeing more biotech research on topics like epigenetics, metabolism, mitochondrial dysfunction, reproduction, and stem cell developments in the coming years.

Biotech research can change humankind, and lead to a better quality of life for generations to come. Subscribe to the ZAGENO blog to keep up with the latest topics in biotech and life sciences research and find the tech that supports biotech lab managers and PIs in their ongoing work.

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  2. 🎉 Latest research topics in biotechnology. Biotechnology. 2019-01-12

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  3. 🎉 Recent research topics in biotechnology. ScienceDaily: Your source

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  4. 🎉 Recent research topics in biotechnology. ScienceDaily: Your source

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