Mitigating trade-offs between different resource-utilization functions is key to an organism's ecological and evolutionary success. These trade-offs often reflect metabolic constraints with a complex molecular underpinning; therefore, their consequences for evolutionary processes have remained elusive. Here, we investigate how metabolic architecture induces resource utilization constraints and how these constraints, in turn, elicit evolutionary specialization and diversification. Guided by the metabolic network structure of the bacterium Lactococcus cremoris, we selected two carbon sources (fructose and galactose) with predicted co-utilization constraints. By evolving L. cremoris on either fructose, galactose or a mix of both sugars, we imposed selection favoring divergent metabolic specializations or co-utilization of both resources, respectively. Phenotypic characterization revealed the evolution of either fructose or galactose specialists in the single-sugar treatments. In the mixed sugar regime, we observed adaptive diversification: both specialists coexisted, and no generalist evolved. Divergence from the ancestral phenotype occurred at key pathway junctions in the central carbon metabolism. Fructose specialists evolved mutations in the fbp and pfk genes that appear to balance anabolic and catabolic carbon fluxes. Galactose specialists evolved increased expression of pgmA (the primary metabolic bottleneck of galactose metabolism) and silencing of ptnABCD (the main glucose transporter) and ldh (regulator/enzyme of downstream carbon metabolism). Overall, our study shows how metabolic network architecture and historical contingency serve to predict targets of selection and inform the functional interpretation of evolved mutations. The elucidation of the relationship between molecular constraints and phenotypic trade-offs contributes to an integrative understanding of evolutionary specialization and diversification.
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http://dx.doi.org/10.1093/molbev/msac124 | DOI Listing |
Pituitary
January 2025
Division of Endocrinology, Santiago de Compostela University and Ciber OBN, Santiago, Spain.
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View Article and Find Full Text PDFSci Rep
January 2025
Institute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Maxim Gorki, 30, Novi Sad, 21000, Serbia.
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View Article and Find Full Text PDFGene
January 2025
Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine/The First Affiliated Hospital, Shihezi University, Shihezi 832002 China; Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang 524000 Guangdong, China. Electronic address:
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View Article and Find Full Text PDFComp Biochem Physiol Part D Genomics Proteomics
January 2025
College of Fisheries and Life Science, Dalian Ocean University, Dalian 116023, China; Engineering and Technology Research Center of Shellfish Breeding in Liaoning Province, Dalian Ocean University, Dalian 116023, China. Electronic address:
This study seeks to explore the molecular regulatory mechanism within Dosinia corrugata in response to extreme high-temperature conditions, aiming to enhance the sustainable development of the D. corrugata aquaculture industry. To identify heat-responsive genes and elucidate adaptive mechanisms, we conducted transcriptional profiling of D.
View Article and Find Full Text PDFJ Pharm Biomed Anal
January 2025
School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, PR China. Electronic address:
In recent years, metabolite identification of chemical constituents of traditional Chinese medicine (TCM) has been extensively studied. However, due to the intricacy of metabolic processes and the low concentration of metabolites, identifying metabolites of TCM in vivo is still a tough work. Meanwhile, credibility of metabolite identification through mass spectrum technology has been called into question by reason of the lack of metabolite standards.
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