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.
The feasibility of generating MSTN/BLG double gene-edited cattle embryos using a single CRISPR/EOCas12i plasmid and SCNT is demonstrated, providing a robust platform for multiplex genome editing aimed at improving meat production and milk traits.
Furui Wang, Lei Chen, Yuting Ning et al.· Frontiers in Genome Editing· 0 citations
This narrative review synthesizes major advances in sheep genetic mapping, functional genomics, and GS relevant to economically important traits to provide researchers, breeders, and students with a balanced, evidence-based resource to guide future genomic improvements in sustainable sheep production.
Mostafa Ghaderi-Zefrehei, Effat Nasre Esfahani, Hassan Amini Pozveh et al.· Frontiers in Genetics· 0 citations
The imprecise breeding methods including recombination breeding, physical/chemical mutagenesis, and marker-assisted breeding have been extensively utilized for trait improvement of rice crop. Despite tremendous progress made through these breeding methods, the critical issues, such as linkage drag, unintended phenotype, and longer duration of time required to breed a cultivar, have been the major limitations. Among the new breeding technologies, genome editing (GE) has become the most promising approach because of its specificity, precision, and speed. Despite its transformative potential, genome editing continues to face several limitations in crop improvement. These include well-recognized policy challenges, such as biosafety regulations and intellectual property constraints, alongside technical barriers like inefficient tissue culture and transformation systems. Additionally, researchers remain constrained by the limited availability of precise gene information necessary for accurate targeted editing and effective trait enhancement. This review presents an analysis of genes that regulate abiotic and biotic stresses, yield, grain quality and nutrition, plant architecture, nutrient absorption and use efficiency, and other agronomically important traits of rice. The trait-wise probable target genes for genome editing have been discussed in detail. This review will serve as a ready reckoner for rice researchers and funding agencies.
Manish Solanki, Faisal Yousuf, Akanksha Srivastava et al.· Physiologia Plantarum : An I...· 2 citations
Seed protein content, oil content, and yield are key agronomic traits that determine the economic value of soybean. For decades, soybean has served as a leading source of plant protein for human and animal nutrition due to its high protein concentration. Manipulating amino acid transporters to regulate the direction of nitrogen allocation represents a promising strategy for improving seed protein content. Multiple studies have employed this strategy by targeting amino acid importers. Recently, the Usually Multiple Amino acids Move In and Out Transporter (UMAMIT) family has been characterized as amino acid exporters; nevertheless, their role in regulating the seed protein content of soybean has not yet been investigated. In this study, we identified 120 soybean UMAMIT genes via a genome-wide search and designated them according to chromosomal location. Phylogenetic analysis grouped these genes into 10 clades (A–J). Whole-genome duplication (WGD)/segmental duplication served as the main driver of the GmUMAMIT family expansion, followed by tandem duplication. By integrating transcriptome data with QTL/GWAS loci, we identified twelve candidate genes associated with seed protein content and verified their expression patterns during seed development via qPCR. One candidate gene, GmUMAMIT118, was selected and overexpressed in Arabidopsis thaliana, resulting in transgenic lines with significantly higher seed protein content and yield. Collectively, these results provided a comprehensive overview of the soybean UMAMIT family and offered a preliminary exploration of its role in improving seed protein content.
Yongjiang Bi, Yaohui Chen, Meirong Lang et al.· International Journal of Mol...· 0 citations
The hepatic transcriptomic landscape of Nelore cattle is characterized and the multilayered genetic architecture of the liver that controls meat quality traits in beef cattle is characterized, supporting the use of integrative omics to guide functional genomic selection.
Thaís Ribeiro da Silva, Juliana Afonso, B. Silva-Vignato et al.· Journal of Animal Science an...· 0 citations
The future of crop improvement using GEd technologies lies in the harmonisation or alignment of global policies and regulations to support the trade of agricultural produce and ensure that growers and consumers can benefit from GEd technology.
Michael G. K. Jones· Sugar Industry international· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.