Highlights of the BMC Series – April 2025
Published in Healthcare & Nursing, Computational Sciences, and Genetics & Genomics

BMC Genomics - Growth resilience to weather variation in commercial free-ranging chickens in Ethiopia

Chicken farming is a growing industry in Ethiopia and demand is expected to increase by over 200% in the next 25 years. The majority of flocks are made up of indigenous breeds that are adapted to local conditions. However, a growing portion is made up of imported high-productivity breeds that fail to thrive due to increasing extremes of temperature and other climate-change induced environmental stressors.
This paper aimed to investigate the effects of changing weather conditions on the growth of commercially raised chickens by looking at both growth resistance phenotypes and associated genomic architecture. Over 1,500 cross-bred chickens were weighed weekly and were genotyped for this study. Weekly growth was compared to weather patterns to determine resilience phenotypes and genetic markers were identified for these phenotypes.
The authors found that growth was significantly impacted by temperature, humidity, and precipitation. They also found significant genomic variance between resilience phenotypes and identified specific candidate genes associated with lipid metabolism and adipocyte homeostasis. These results could be used to breed chickens that are both highly productive and adapted to local weather conditions.

Anemia in women of reproductive age is a prevalent problem worldwide, and India has one of the highest rates at 57%. Efforts to reduce the prevalence of anemia have focused on ways to increase the availability and distribution of supplements to prevent and treat anemia. However, there has not been much focus on interventions to increase consumption of supplements and understanding of medical guidelines.
In this longitudinal cluster randomized controlled trial, an intervention package that focused on changing social norms was tested as a way to increase iron folic acid consumption among women of reproductive age. The intervention package comprised community-based education sessions, health communication videos, and hemoglobin testing. Over 4,000 women were recruited for the trial and were randomized by geographical cluster to either the intervention or the control.
The results showed that the intervention improved social norms around supplement consumption compared with the control as well as increased consumption more in intervention communities. This highlights a potentially useful way to increase uptake of important micronutrient supplements and reduce the burden of anemia.
BMC Primary Care - Exploring the relationship between cultural and structural workforce issues and retention of nurses in general practice (GenRet): a qualitative interview study

Nurses are a vital part of healthcare services, but current shortfalls in the nursing workforce are expected to worsen in the coming decade. In England, the shortage of nurses is especially acute in general practice, with up to 28% of nurses considering leaving general practice within one year.
In order to understand the factors that both encourage and discourage nurses to stay in general practice, the authors of this paper conducted a qualitative study. They interviewed 41 current and former general practice nurses and nurse leaders in England and Wales to explore how general practice culture and structure support or challenge workforce retention.
The findings indicate that a range of cultural and structural issues affect nurses’ intention to remain in general practice in both positive and negative ways. These issues include recognition of the value of nurses in general practice, limited input into decision-making, and access to professional development and representation. These insights suggest ways that stakeholders, including policy makers, employers, and professional organizations, can support nurses to remain and flourish in general practice.
BMC Gastroenterology - An artificial intelligence model utilizing endoscopic ultrasonography for differentiating small and micro gastric stromal tumors from gastric leiomyomas

Gastric stromal tumors (GSTs) are a subtype of gastrointestinal submucosal tumors (SMTs) that have high malignant potential and often need aggressive surgical and pharmaceutical intervention. Gastric leiomyomas (GLs) are a less-common subtype of SMTs that are usually benign and require treatment only if they grow or cause other symptoms. Differentiating between these two subtypes is crucial during the diagnostic process, but accurately distinguishing them using endoscopic ultrasonography is challenging, especially for smaller tumors (<2.0 cm).
To address this challenge, the authors of this paper created an artificial intelligence (AI) model trained on images of confirmed GSTs and GLs. The model was then validated on a different set of images.
The AI model was able to accurately differentiate between GSTs and GLs smaller than 2.0 cm. When multiple images of each tumor were used in the AI model, its diagnostic efficiency was better than that of clinical prediction models and endoscopists. This model could offer valuable support to clinicians to accurately diagnose and treat small SMTs.
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BMC Primary Care
Previously known as BMC Family Practice, this is an open access, peer-reviewed journal that considers articles on all aspects of primary health care research.
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BMC Nutrition
BMC Nutrition is an open access, peer-reviewed journal that considers articles on all aspects of nutritional sciences.
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BMC Gastroenterology
This is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of gastrointestinal and hepatobiliary disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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BMC Genomics
This is an open access, peer-reviewed journal that considers articles on all aspects of genetics, genomics and proteomics.
Related Collections
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Genomics of symbiosis
BMC Genomics is calling for submissions to our Collection on Genomics of symbiosis. The study of symbiosis, particularly the genomic underpinnings of these complex interactions, has emerged as a pivotal area of research in understanding the relationships between organisms. Symbiosis encompasses a range of interactions, from mutualism to parasitism, and is crucial for the survival and evolution of many species, including both invertebrates and vertebrates. A well-documented example is the mutualistic association between sea anemones and clownfish, where the anemones provide protection for the fish, and the fish, in turn, help to ward off predators and parasites.
Recent advancements in genomic technologies have enabled researchers to dissect the genetic and molecular mechanisms that facilitate these interactions, revealing the intricate networks of collaboration between host organisms and their partners. The advent of next-generation sequencing technologies, which offer significantly lower costs compared to traditional Sanger sequencing, along with much higher throughput, has made it possible to sequence genomes at an unprecedented scale, leading to a rapid increase in available genomic data. This influx of genomic information has accelerated our understanding of symbiotic relationships by allowing researchers to explore the diversity of symbiotic organisms across species, uncover novel symbiotic genes, and gain insights into the evolutionary dynamics of these interactions.
Advancing our collective understanding of the genomics of symbiosis is essential for several reasons. It not only enhances our knowledge of ecological dynamics and evolutionary processes but also has significant implications for biotechnology, agriculture, and medicine. Important advances in this field include the identification of key genes involved in symbiotic relationships and the elucidation of metabolic pathways that support mutualistic interactions. These insights can inform strategies for harnessing beneficial symbioses in various applications, from improving crop resilience to developing novel therapeutics. For example, understanding the symbiotic relationship between legumes and nitrogen-fixing bacteria has led to advances in sustainable agriculture by promoting natural nitrogen fertilization, reducing the need for chemical fertilizers and enhancing crop productivity.
The growing availability of genomic data through advanced sequencing technologies is likely to reveal new, previously unrecognized symbiotic relationships. A recent example is the discovery of Syntretus perlmani, a parasitoid wasp that parasitizes adult fruit flies and manipulates the biology of its host to support its offspring's development. By adding more genomes to the databases, researchers can identify novel genetic markers and pathways that may indicate undiscovered associations between species. This could lead to breakthroughs in various fields, from ecology to biotechnology.
Potential topics of interest include, but are not limited to:
Genomic insights into mutualism
Bacterial symbionts in invertebrates
Evolutionary genomics of symbiotic relationships
Symbiotic fungi and their hosts
Genomic adaptations in vertebrate symbiosis
Genomic analysis of endosymbiotic relationships
The role of horizontal gene transfer in symbiotic interactions
Genomic adaptations to environmental stress in symbiotic systems
The impact of climate change on symbiotic relationships and their genomic responses
Comparative genomics of symbiotic organisms across different ecosystems
The role of epigenetics in symbiotic relationships
This Collection supports and amplifies research related to SDG 3: Good Health & Well-Being, SDG 14: Life Below Water, SDG 15: Life on Land.
Publishing Model: Open Access
Deadline: Aug 15, 2025
Genomics of microbiomes
The study of microbiomes has emerged as a dynamic field at the intersection of genomics, ecology, and health sciences. Microbiomes encompass the diverse communities of microorganisms, including bacteria, viruses, and unicellular eukaryotes, residing in various environments, such as the human body, food, soil, and aquatic systems. Understanding the genomic makeup of these microbiomes is crucial for unraveling their complex interactions with hosts and the environment. As advances in sequencing technologies, including single molecule sequencing, metagenomics and single cell omics, continue to evolve, researchers are better equipped to explore the rich genetic diversity (including pangenomes and epigenomes) and functional capacities of microbiomes across different ecosystems.
Investigating the genomics of microbiomes is pivotal for addressing critical questions in ecology, health, disease, and environmental sustainability. For instance, recent breakthroughs in the field have illustrated how microbiomes influence human health, from their roles in metabolism and immune function to their impact on mental health. Furthermore, understanding the genomics of environmental microbiomes can provide insights into biogeochemical processes and ecological resilience. As we deepen our knowledge of these microbial communities and develop computational biology methods to model their functionality, we stand to enhance our ability to harness their potential for applications in medicine, agriculture, and environmental management.
Future research in this area holds the promise of transformative advances in our understanding of microbiomes. The integration of multi-omics approaches, combining genomics with transcriptomics, proteomics, and metabolomics, may lead to a holistic view of microbial community dynamics and their functional implications. Additionally, developments in artificial intelligence and machine learning could further accelerate discoveries, enabling the identification of novel microbial functions and their roles in health and disease. As we continue to explore these intricate relationships, we can anticipate innovative strategies for harnessing microbiomes for therapeutic and environmental applications.
Topics of interest include, but are not limited to:
Genomics and epigenomics of host-microbe interactions
X-omics studies in environmental and host-microbiomes
Advances in genomics of unculturable microorganisms
Genome-guided development of synthetic microbiomes and consortia
Microbiomes and environmental resilience: a genomic perspective
The human microbiome: genetic diversity and functional potential
Microbial adaptation and evolution in changing environments
The role of microbiomes in antibiotic resistance and pathogenesis
Computational and AI-driven methods for microbiome genomics
Microbiome applications in sustainable agriculture and environmental management
Publishing Model: Open Access
Deadline: Jan 07, 2026
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