ALBERT

Description: Stem cells divide and differentiate to form all of the specialized cell types in a multicellular organism. In theArabidopsisroot, stem cells are maintained in an undifferentiated state by a less mitotically active population of cells called the quiescent center (QC). Determining how the QC regulates the surrounding stem cell initials, or what makes the QC fundamentally different from the actively dividing initials, is important for understanding how stem cell divisions are maintained. Here we gained insight into the differences between the QC and the cortex endodermis initials (CEI) by studying the mobile transcription factor SHORTROOT (SHR) and its binding partner SCARECROW (SCR). We constructed an ordinary differential equation model of SHR and SCR in the QC and CEI which incorporated the stoichiometry of the SHR-SCR complex as well as upstream transcriptional regulation of SHR and SCR. Our model prediction, coupled with experimental validation, showed that high levels of the SHR-SCR complex are associated with more CEI division but less QC division. Furthermore, our model prediction allowed us to propose the putative upstream SHR regulators SEUSS and WUSCHEL-RELATED HOMEOBOX 5 and to experimentally validate their roles in QC and CEI division. In addition, our model established the timing of QC and CEI division and suggests that SHR repression of QC division depends on formation of the SHR homodimer. Thus, our results support that SHR-SCR protein complex stoichiometry and regulation of SHR transcription modulate the division timing of two different specialized cell types in the root stem cell niche.

Description: Fluorescence-activated cell sorting (FACS) is a technique used to isolate specific cell populations based on characteristics detected by flow cytometry. FACS has been broadly used in transcriptomic analyses of individual cell types during development or under different environmental conditions. Different protoplast extraction protocols are available for plant roots; however, they were designed for accessible cell populations, which normally were grown in the presence of light, a non-natural and stressful environment for roots. Here, we report a protocol using FACS to isolate root protoplasts from Arabidopsis green fluorescent protein (GFP)-marked lines using the minimum number of enzymes necessary for an optimal yield, and with the root system grown in darkness in the D-Root device. This device mimics natural conditions as the shoot grows in the presence of light while the roots grow in darkness. In addition, we optimized this protocol for specific patterns of scarce cell types inside more differentiated tissues using the mCherry fluorescent protein. We provide detailed experimental protocols for effective protoplasting, subsequent purification through FACS, and RNA extraction. Using this RNA, we generated cDNA and sequencing libraries, proving that our methods can be used for genome-wide transcriptomic analyses of any cell-type from roots grown in darkness.

Description: The current biodiversity crisis represents a historic challenge for natural communities: the environmental rate of change exceeds the population’s adaptation capability. Integrating both ecological and evolutionary responses is necessary to make reliable predictions regarding the loss of biodiversity. The race against extinction from an eco-evolutionary perspective is gaining importance in ecological risk assessment. Here, we performed a classical study of population dynamics—a fluctuation analysis—and evaluated the results from an adaption perspective. Fluctuation analysis, widely used with microorganisms, is an effective empirical procedure to study adaptation under strong selective pressure because it incorporates the factors that influence demographic, genetic and environmental changes. The adaptation of phytoplankton to beryllium (Be) is of interest because human activities are increasing the concentration of Be in freshwater reserves; therefore, predicting the effects of human-induced pollutants is necessary for proper risk assessment. The fluctuation analysis was performed with phytoplankton, specifically, the freshwater microalgaeChlamydomonas reinhardtii, under acute Be exposure. High doses of Be led to massive microalgae death; however, by conducting a fluctuation analysis experiment, we found thatC. reinhardtiiwas able to adapt to 33 mg/l of Be due to pre-existing genetic variability. The rescuing adapting genotype presented a mutation rate of 9.61 × 10−6and a frequency of 10.42 resistant cells per million wild-type cells. The genetic adaptation pathway that was experimentally obtained agreed with the theoretical models of evolutionary rescue (ER). Furthermore, the rescuing genotype presented phenotypic and physiologic differences from the wild-type genotype, was 25% smaller than the Be-resistant genotype and presented a lower fitness and quantum yield performance. The abrupt distinctions between the wild-type and the Be-resistant genotype suggest a pleiotropic effect mediated by an advantageous mutation; however, no sequencing confirmation was performed.