1. Fluctuation analysis to select for Samarium bio-uptaking microalgae clones the repurposing of a classical evolution experiment.
- Author
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Martínez-Alesón García P, García-Balboa C, Romero-López J, López-Rodas V, Costas E, and Baselga-Cervera B
- Subjects
- Biological Transport, Chlamydomonas reinhardtii, Clone Cells chemistry, Metals metabolism, Metals, Rare Earth analysis, Microalgae metabolism, Samarium metabolism, Water Pollutants, Chemical metabolism
- Abstract
Rare Earth Elements (REE) increasing demand prompts the research of biotechnological approaches to exploit secondary resources. We made use of the adapted Fluctuation analyses experiment to obtain Chlamydomonas reinhardtii ChlA strains resistant to Samarium (Sm) as the reference REE. The starting hypothesis was that adaptation to metal-containing media leads to an enhanced metal uptake. ChlA was able to adapt to 1.33·10
-4 Sm M and pH~3 by pre-existing genetic variability, allowing the evolutionary rescue of 13 of the 99 populations studied. The rescuing resistant genotypes presented a mutation rate of 8.65·10-7 resistant cells per division. The resulting resistant population contradicted the expected fitness cost associated with the adaptation to Sm, selection resulted in larger and faster-growing resistant cells. Among the three isolated strains studied for Sm uptake, only one presented uplifted performance compared to the control population (46.64 μg Sm g-¹ of wet biomass and 3.26·10-7 ng Sm per cell, mainly bioaccumulated within the cells). The selection of microalgae strains with improved tolerance to REEs by this methodology could be a promising solution for REES sequestration. However, increased tolerance can be independent or have negative effects on uptake performance and cellular features studied are not directly correlated with the metal uptake. SUMMARY SENTENCE: Repurposing a classic laboratory evolution experiment to select for microalgae Samarium adapted strains for metals recovery and biotechnology approaches. DATA AVAILABILITY STATEMENT: All data generated or analyzed during this study are included in this published article (and its raw files)., (Published by Elsevier Inc.)- Published
- 2021
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