This research introduces a novel strategy to augment casein expression in ruminants, providing a significant theoretical foundation and technical support for the precision breeding of high-casein dairy cows and goats.
Abstract
As the global population continues to grow, the demand for protein is correspondingly increasing. Milk serves as a significant source of high-quality protein, with casein being its primary nutrient. Consequently, the cultivation of dairy animals with elevated casein expression has become a critical objective in the field of livestock breeding. Compared with traditional breeding methods, gene editing offers a more efficient approach to enhancing casein expression in dairy animals. However, progress in this area is constrained by the lack of key editing targets. Enhancers, which are core cis-acting elements enriched with transcription factor and cofactor binding sites, play a crucial role in regulating milk protein expression and represent ideal targets for gene editing. At present, comprehensive research on enhancers at the casein gene locus in livestock remains limited. This study identified 8 ultra-conserved regions through a cross-species comparison of casein gene loci in humans, mice, cattles, zebu cattle, goats, sheep, and camels. Following functional validation in silico, cross-species conserved enhancer sequences regulated by STAT5a were validated, with the CSN2 conserved enhancer (CSN-EN3) demonstrating the most potent regulatory effect. Co-immunoprecipitation (Co-IP) and bimolecular fluorescence complementation assays have demonstrated that STAT5a interacts with cofactors such as MED1, GR, ELF5, and NFIB, thereby synergistically regulating gene expression. The findings suggest that transcription factors and cis-acting elements associated with lactation exhibit high interspecies conservation, elucidating the pivotal role of STAT5a in lactation regulation. By altering the conserved enhancer CSN-EN3, its cis-regulatory control over STAT5a-dependent transcription was changed, leading to a 3.57-fold increase in casein expression. In conclusion, this study developed an enhancer identification system that integrates multi-species genome alignment with model animal epigenetic marker analysis, successfully identifying cross-species conserved enhancers at the mammalian casein locus. This research introduces a novel strategy to augment casein expression in ruminants, providing a significant theoretical foundation and technical support for the precision breeding of high-casein dairy cows and goats.
This study constructed a pH-responsive P-TN/SF@Fe-Cur composite coating that demonstrated significant anti-infective, anti-inflammatory, antioxidant, pro-angiogenic, and pro-osteogenic effects in rat subcutaneous infection and femoral defect models.
It is argued that formation of a tumour-intrinsic niche is a prerequisite for BRAF-mutant CRC seeding to distant organs and that interference with niche formation may help avoid metastatic relapse.
J. Bugter, L. El Bouazzaoui, E. Küçükköse et al.· bioRxiv· 2 citations
It is concluded that bridging the gap between foundational CRISPR research and its real-world applications is imperative and future efforts should focus on democratizing tools via open-source platforms, advancing delivery systems, and fostering sustainable innovation through synthetic biology integration to fully realize the transformative potential of genome editing in organisms beyond model organisms.
S. Sarsaiya, Archana Jain, Jishuang Chen et al.· Biotechnology Advances· 2 citations
HydroGym is introduced, a solver-independent reinforcement learning platform providing more than 60 validated, openly available flow control environments spanning from canonical laminar flows to complex turbulent flows, with systematic progression in the Reynolds number up to Re = 4 × 105, and Mach number variations in two and three dimensions.
Christian Lagemann, Sajeda Mokbel, Miro Gondrum et al.· Nature· 1 citation
ProteinReasoner is developed, a multimodal generative protein foundation model that sequentially connects amino acid sequence, evolutionary constraints and three-dimensional structure within a shared autoregressive architecture and suggests a general route towards reasoning across interdependent representations in other scientific domains.
Chaozhong Liu, Linlin Chao, Shaomin Ji et al.· bioRxiv· 1 citation
Due to its importance and wide adoption, wheat cultivation is promptly required to shift towards sustainable practices, reducing the dependency on chemical components. Among bio-based solutions aimed at securing the sustainability of wheat cultivation, biostimulants offer a versatile platform of eco-friendly tools assuring sustainability and profitability. Microalgae present a concrete example of a biostimulant source due to their richness in metabolites and high value products. Therefore, this study evaluated the biostimulant potential of eleven eco-extracts prepared from soil-isolated microalgae strains. Eco-extracts applied via soil drench at low dose (0.1 g/L) were investigated for their biostimulant effects on wheat growth, physiology, yield, and quality under controlled conditions. Results demonstrated significant ameliorations in treated plants as compared to the control, with no phytoinhibitory effects. Remarkable enhancements were notable in growth parameters such as shoot and root lengths (+40-70%), physiological traits such as total chlorophyll and stomatal conductance (+7-52%), yield components in the example of grain number per spike and thousand grain weight (+17-103%), and grain quality namely protein and polyphenol content (+2-fold to 4-fold). Similarly, phosphorus accumulation and uptake were significantly improved, while soil physicochemical status was ameliorated, indicating enhanced fertility. Multivariate analysis and composite index ranking marked Chlorella sp. GA18, Chlorella sp. GA65, Scenedesmus sp. GA69, and Chlorococcum sp. GA63 as eco-extracts with consistent performances across all plant traits. These findings highlighted the promising potential of integrating microalgae-based eco-friendly extracts in sustainable wheat cultivation.
Amer Chabili, Z. Hakkoum, F. Minaoui et al.· Plant Science· 1 citation
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
MIT News · Artificial Intelligence· news.mit.eduAug 17, 2026