Translate this page into:
Interdisciplinary Biological Sciences: Essential to Global Health, Food Security, and Sustainability
* Corresponding author: Prof. Emad M Abdallah, PhD, Department of Biology, Qassim University, College of Science, Qassim, Buraydah, Saudi Arabia. Email: emad100sdl@yahoo.com
-
Received: ,
Accepted: ,
How to cite this article: Abdallah EM. Interdisciplinary Biological Sciences: Essential to Global Health, Food Security, and Sustainability. J Qassim Univ Sci. doi: 10.25259/JQUS_7_2025
Dear Editor,
It has become increasingly evident that the biological sciences are deeply interconnected with critical areas such as global health, food security and agriculture, and environmental sustainability, necessitating the attention and support of both the scientific community and global decision-makers in light of recent advancements.
Biology is fundamental in medical innovation by elucidating the molecular causes of illness and enabling tailored therapeutics. Progress in genomics and molecular biology has resulted in the emergence of precision medicine, whereby therapies are customized according to an individual’s genetic composition.[1] Advancements in CRISPR-Cas9 gene editing have created new opportunities for rectifying genetic abnormalities at their origin.[2] Furthermore, biological research has driven advancements in immunotherapy, including checkpoint inhibitors, and transforming cancer treatment.[3]
Recent biological advancements contribute to sustainable solutions in food security and farming. Metagenomics and microbiome engineering have facilitated the creation of plant probiotics that improve nutritional absorption and stress resilience (Toju et al., 2018).[4] RNA interference (RNAi) technology is used to create pest-resistant crops, eliminating the need for chemical pesticides (Mat Jalaluddin et al., 2019).[5] Moreover, developments in plant epigenetics are being used to enhance crop yields through epigenome engineering and yield in the face of environmental stress.[6] These tools, which are anchored by systems biology and precision agriculture, are influencing the future of resilient, efficient, and sustainable food systems.
Moreover, biological research significantly contributes to the advancement of environmental conservation. Functional trait ecology is utilized to elucidate the impact of species characteristics on ecosystem processes, thereby informing the development of biodiversity-oriented restoration strategies.[7] Biological sciences play a vital role in advancing metabolic theory as a framework for ecosystem restoration by elucidating how metabolism, body size, and temperature govern ecological processes. Through understanding organismal physiology and energy use, biological research enables precise predictions of species performance and ecosystem functioning under changing environmental conditions.[8] Biological insights into plant-microbe-soil interactions are informing nature-based solutions aimed at improving carbon sequestration and soil health in degraded ecosystems.[9] Therefore, integrative approaches with biological sciences are transforming conservation science by advancing it towards predictive, process-oriented frameworks.
Furthermore, Artificial Intelligence (AI) is a rapidly expanding field in scientific study that will serve as a significant accelerator for progress in the biological sciences in the near future. AI facilitates the effective processing of extensive information in genomics, proteomics, imaging, and ecology by automating data analysis, identifying intricate biological patterns, and expediting hypothesis formulation. In genomics, artificial intelligence models are used to predict gene-disease correlations (such as cancers), regulatory elements, and variant pathogenicity with enhanced accuracy, hence advancing precision medicine.[10] In drug discovery, deep learning tools such as bioinformatics, pharmacoinformatics, and cheminformatics are accelerating the identification of bioactive compounds and refining lead molecules, significantly shortening development durations.[11]
In conclusion, while the previously mentioned examples represent just a fraction of biology’s recent achievements, they emphasize its crucial contribution to scientific development. I call for increased investment in biological sciences as an effective instrument for national growth and issue resolution via multidisciplinary cooperation.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation
The authors confirm that they have used artificial intelligence (AI)-assisted technology solely for language refinement and to improve the clarity of writing. No AI assistance was employed in the generation of scientific content, data analysis or interpretation
References
- A new initiative on precision medicine. N Engl J Med. 2015;372:793-5.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- The new frontier of genome engineering with CRISPR-Cas9. Science. 2014;346
- [CrossRef] [Google Scholar]
- The future of immune checkpoint therapy. Science. 2015;348:56-61.
- [CrossRef] [PubMed] [Google Scholar]
- Core microbiomes for sustainable agroecosystems. Nat Plants. 2018;4:247-5.
- [CrossRef] [PubMed] [Google Scholar]
- Global trends in research and commercialization of exogenous and endogenous RNAi technologies for crops. Crit Rev Biotechnol. 2019;39:67-78.
- [CrossRef] [PubMed] [Google Scholar]
- Exploiting induced and natural epigenetic variation for crop improvement. Nat Rev Genet. 2017;18:563-75.
- [CrossRef] [PubMed] [Google Scholar]
- Functional identity and diversity of animals predict ecosystem functioning better than species-based indices. Proc Biol Sci. 2015;282:20142620.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Harnessing ecological theory to enhance ecosystem restoration. Curr Biol. 2024;34:R418-34.
- [CrossRef] [PubMed] [Google Scholar]
- Agricultural intensification reduces microbial network complexity and the abundance of keystone taxa in roots. ISME J. 2019;13:1722-36.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Illuminating the noncoding genome in cancer using artificial intelligence. Cancer Res. 2025;85:2368-75.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Deep learning tools for advancing drug discovery and development. 3 Biotech. 2022;12:110.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
