Related Experiment Video
Updated: Aug 6, 2026

14:57
Yeast As a Chassis for Developing Functional Assays to Study Human P53
Published on: August 4, 2019
Evolution-guided yeast complementation reveals functional differences in human PSPH variants
Mauricio Campa-Álvarez1, Diana Ascencio2, Miguel Vallebueno-Estrada1
1Unidad de Genómica Avanzada, Cinvestav, Irapuato, Mexico.
FEBS Open Bio
|August 5, 2026
Summary
Researchers studied human phosphoserine phosphatase (PSPH) variants using ancient genomes and yeast assays. Ancient variants showed condition-dependent function, differing from modern and disease-associated alleles.
Area of Science:
- Evolutionary genomics
- Metabolic enzyme function
- Human genetics
Background:
- Understanding human genetic variants' impact on metabolic enzymes is crucial for evolutionary and clinical insights.
- Conserved metabolic enzymes play vital roles in cellular processes and disease pathogenesis.
Purpose of the Study:
- To investigate functional differences among human phosphoserine phosphatase (PSPH) variants using evolutionary genomics and experimental assays.
- To establish a framework linking ancient human genome data with functional validation of metabolic enzyme variants.
Main Methods:
- Sequence analyses of temporally stratified human genomes to identify regions of high nucleotide diversity in PSPH.
- Quantitative Saccharomyces cerevisiae complementation assay in a SER2 deletion strain to test PSPH variant function.
- Comparison of ancient-genome-prioritized variants (R27S, Q83H) with modern and disease-associated alleles (D32N, A35T) across various environmental conditions.
Main Results:
- Two PSPH exons showed elevated nucleotide diversity between ancient and modern humans.
- Human PSPH variants differentially complemented the yeast SER2 deletion mutant, affecting growth.
- The modern PSPH allele generally provided the strongest complementation, while ancient variants showed condition-dependent rescue, and disease-associated alleles exhibited the weakest complementation.
Conclusions:
- A scalable framework was established to integrate evolutionary genomics with functional assays for evaluating metabolic enzyme variants.
- Functional differences among PSPH alleles were identified, with context-dependent effects influenced by environmental conditions.
- This approach facilitates the identification and characterization of human metabolic enzyme variants with measurable in vivo effects.
Related Concept Videos
Protein Complexes with Interchangeable Parts
Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
Evolution of New Traits in Microbes
Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Exon Recombination
The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes.
Exon shuffling follows “splice frame rules.” Each exon has three reading...
Exon shuffling follows “splice frame rules.” Each exon has three reading...

