Potential genetic robustness of Prnp and Sprn double knockout mouse embryos towards ShRNA-lentiviral inoculation

Shadoo, encoded by Sprn, and PrP, encoded by Prnp, are related proteins whose biological functions are still incompletely understood. Although previous knockdown experiments have suggested the necessity of Shadoo in the absence of PrP during early mouse embryogenesis, little impact of the double-knockout of these two loci was reported. To further investigate this apparent discrepancy, we compared the transcriptome of WT, Prnp0/0 and Prnp0/0, Sprn0/0 E6.5 mouse embryos following inoculation by Sprn-ShRNA or Prnp-ShRNA lentiviral vectors at the one-cell stage. Our results highlighted a significant induction of an apoptotic pathway in Prnp0/0 E6.5 mouse embryos inoculated with Sprn-ShRNA vectors alongside interferon and to a lesser extent inflammatory responses, confirming previous reported experiments. On the contrary, ShRNA vector inoculation in Prnp0/0, Sprn0/0 embryos did not induce apoptosis and resulted in lower interferon responses. Finally, comparisons of the transcriptome of WT and Prnp0/0, Sprn0/0 embryos revealed only slight differences, which may in part explain the genetic robustness observed in the latter genotype.

Genetic compensation of triacylglycerol biosynthesis in the green microalga Chlamydomonas reinhardtii

Genetic compensation has been proposed to explain phenotypic differences between gene knockouts and knockdowns in several metazoan and plant model systems. With the rapid development of reverse genetic tools such as CRISPR/Cas9 and RNAi in microalgae, it is increasingly important to assess whether genetic compensation affects the phenotype of engineered algal mutants. While exploring triacylglycerol (TAG) biosynthesis pathways in the model alga Chlamydomonas reinhardtii, it was discovered that knockout of certain genes catalyzing rate-limiting steps of TAG biosynthesis, type-2 diacylglycerol acyltransferase genes (DGTTs), triggered genetic compensation under abiotic stress conditions. Genetic compensation of a DGTT1 null mutation by a related PDAT gene was observed regardless of the strain background or mutagenesis approach, e.g., CRISPR/Cas 9 or insertional mutagenesis. However, no compensation was found in the PDAT knockout mutant. The effect of PDAT knockout was evaluated in a Δvtc1 mutant, in which PDAT was up-regulated under stress, resulting in a 90% increase in TAG content. Knockout of PDAT in the Δvtc1 background induced a 12.8-fold upregulation of DGTT1 and a 272.3% increase in TAG content in Δvtc1/pdat1 cells, while remaining viable. These data suggest that genetic compensation contributes to the genetic robustness of microalgal TAG biosynthetic pathways, maintaining lipid and redox homeostasis in the knockout mutants under abiotic stress. This work demonstrates examples of genetic compensation in microalgae, implies the physiological relevance of genetic compensation in TAG biosynthesis under stress, and provides guidance for future genetic engineering and mutant characterization efforts.

Genotype–Phenotype Relationships in the Context of Transcriptional Adaptation and Genetic Robustness

Genetic manipulations with a robust and predictable outcome are critical to investigate gene function, as well as for therapeutic genome engineering. For many years, knockdown approaches and reagents including RNA interference and antisense oligonucleotides dominated functional studies; however, with the advent of precise genome editing technologies, CRISPR-based knockout systems have become the state-of-the-art tools for such studies. These technologies have helped decipher the role of thousands of genes in development and disease. Their use has also revealed how limited our understanding of genotype–phenotype relationships is. The recent discovery that certain mutations can trigger the transcriptional modulation of other genes, a phenomenon called transcriptional adaptation, has provided an additional explanation for the contradicting phenotypes observed in knockdown versus knockout models and increased awareness about the use of each of these approaches. In this review, we first cover the strengths and limitations of different gene perturbation strategies. Then we highlight the diverse ways in which the genotype–phenotype relationship can be discordant between these different strategies. Finally, we review the genetic robustness mechanisms that can lead to such discrepancies, paying special attention to the recently discovered phenomenon of transcriptional adaptation. Expected final online publication date for the Annual Review of Genetics, Volume 55 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Bifurcation drives the evolution of assembly-line biosynthesis

Reprogramming biosynthetic assembly-lines is a topic of intense interest. This is unsurprising as the scaffolds of most antibiotics in current clinical use are produced by such pathways. The modular nature of assembly-lines provides a direct relationship between the sequence of enzymatic domains and the chemical structure of the product, but rational reprogramming efforts have been met with limited success. To gain greater insight into the design process, we wanted to examine how Nature creates assembly-lines and searched for biosynthetic pathways that might represent evolutionary transitions. By examining the biosynthesis of the anti-tubercular wollamides, we show how whole gene duplication and neofunctionalization can result in pathway bifurcation. Importantly, we show that neofunctionalization occurs primarily through intragenomic recombination. This pathway bifurcation leads to redundancy, providing the genetic robustness required to enable large structural changes during the evolution of antibiotic structures. Should the new product be none-functional, gene loss can restore the original genotype. However, if the new product confers an advantage, depreciation and eventual loss of the original gene creates a new linear pathway. This provides the blind watchmaker equivalent to the design, build, test cycle of synthetic biology.

A genetic interaction screen in Streptococcus pneumoniae identifies functionally redundant vaccine candidate proteins CbpC and CbpJ

Streptococcus pneumoniae is a Gram-positive bacterium that asymptomatically colonizes the nasopharynx and can disseminate to sterile sites resulting in pneumococcal diseases such as pneumonia, otitis media, bacteremia, and meningitis. Due to increased incidence of invasive disease caused by serotypes that are not included in available polysaccharide vaccines, there is a need for a broadly protective protein vaccine to complement the polysaccharide based vaccines. To limit immune escape such a vaccine would ideally target proteins that are essential for virulence. However, the genetic robustness of S. pneumoniae results in few surface exposed proteins being essential for virulence. Here we carried out a genetic interaction screen to identify functionally redundant surface protein pairs that could be used as bivalent protein vaccines, based on the observation that together, these protein pairs are essential for virulence. We identified four pairs of functionally redundant surface proteins that displayed a significant competitive disadvantage during murine pneumococcal pneumonia. Immunization with the most attenuated pair, CbpC and CbpJ, resulted in production of high titers of specific antibodies and a modest increased median survival times of mice challenged with pneumococcal pneumonia. This study demonstrates a method to identify essential pairs of surface-associated virulence proteins that could be widely applied to many bacterial pathogens.

Environmental flexibility does not explain metabolic robustness

Cells show remarkable resilience against genetic and environmental perturbations. However, its evolutionary origin remains obscure. In order to leverage methods of systems biology for examining cellular robustness, a computationally accessible way of quantification is needed. Here, we present an unbiased metric of structural robustness in genome-scale metabolic models based on concepts prevalent in reliability engineering and fault analysis.The probability of failure (PoF) is defined as the (weighted) portion of all possible combinations of loss-of-function mutations that disable network functionality. It can be exactly determined, if all essential reactions, synthetic lethal pairs of reactions, synthetic lethal triplets of reactions etc., are known. In theory, these minimal cut sets (MCSs) can be calculated for any network, but for large models the problem remains computationally intractable. Herein, we demonstrate that even at the genome scale only the lowest-cardinality MCSs are required to efficiently approximate the PoF with reasonable accuracy.We analysed the robustness of 489 E. coli, Shigella, Salmonella, and fungal genome-scale metabolic models (GSMMs). In contrast to the popular “congruence theory”, which explains the origin of genetic robustness as a byproduct of selection for environmental flexibility, we found no correlation between network robustness and the diversity of growth-supporting environments. On the contrary, our analysis indicates that amino acid synthesis rather than carbon metabolism dominates metabolic robustness.

Transcription factors from multiple families ensure enhancer selectivity and robust neuron terminal differentiation

SUMMARYTo search for general principles underlying neuronal regulatory programs we built an RNA interference library against all transcription factors (TFs) encoded in C. elegans genome and systematically screened for specification defects in ten different neuron types of the monoaminergic (MA) superclass.We identified over 90 TFs involved in MA specification, with at least ten different TFs controlling differentiation of each individual neuron type. These TFs belong predominantly to five TF families (HD, bHLH, ZF, bZIP and NHR). Next, focusing on the complexity of terminal differentiation, we identified and functionally characterized the dopaminergic terminal regulatory program. We found that seven TFs from four different families act in a TF collective to provide genetic robustness and to impose a specific gene regulatory signature enriched in the regulatory regions of dopamine effector genes. Our results provide new insights on neuron-type regulatory programs that could help better understand specification and evolution of neuron types.

Transcriptional adaptation: a mechanism underlying genetic robustness

ABSTRACTMutations play a crucial role in evolution as they provide the genetic variation that allows evolutionary change. Although some mutations in regulatory elements or coding regions can be beneficial, a large number of them disrupt gene function and reduce fitness. Organisms utilize several mechanisms to compensate for the damaging consequences of genetic perturbations. One such mechanism is the recently identified process of transcriptional adaptation (TA): during this event, mutations that cause mutant mRNA degradation trigger the transcriptional modulation of so-called adapting genes. In some cases, for example when one (or more) of the upregulated genes is functionally redundant with the mutated gene, this process compensates for the loss of the mutated gene's product. Notably, unlike other mechanisms underlying genetic robustness, TA is not triggered by the loss of protein function, an observation that has prompted studies into the machinery of TA and the contexts in which it functions. Here, we review the discovery and current understanding of TA, and discuss how its main features appear to be conserved across species. In light of these findings, we also speculate on the importance of TA in the context of human disease, and provide some recommendations for genome-editing strategies that should be more effective.

Adaptation of turnip mosaic potyvirus to a specific niche reduces its genetic and environmental robustness

Robustness is the preservation of the phenotype in the face of genetic and environmental perturbations. It has been argued that robustness must be an essential fitness component of RNA viruses owed to their small and compacted genomes, high mutation rates and living in ever-changing environmental conditions. Given that genetic robustness might hamper possible beneficial mutations, it has been suggested that genetic robustness can only evolve as a side-effect of the evolution of robustness mechanisms specific to cope with environmental perturbations, a theory known as plastogenetic congruence. However, empirical evidences from different viral systems are contradictory. To test how adaptation to a particular environment affects both environmental and genetic robustness, we have used two strains of turnip mosaic potyvirus (TuMV) that differ in their degree of adaptation to Arabidopsis thaliana at a permissive temperature. We show that the highly adapted strain is strongly sensitive to the effect of random mutations and to changes in temperature conditions. In contrast, the non-adapted strain shows more robustness against both the accumulation of random mutations and drastic changes in temperature conditions. Together, these results are consistent with the predictions of the plastogenetic congruence theory, suggesting that genetic and environmental robustnesses may be two sides of the same coin for TuMV.

Distinguish between Duplication of Essential Genes and Duplication of Dispensable Genes

When a dispensable gene is duplicated (ancestral dispensability), genetic buffering and duplicate compensation together maintain the gene dispensability, whereas duplicate compensation is the only mechanism when an essential gene is duplicated (ancestral essentiality). To explore the distinct pattern of genetic robustness between these evolutionary scenarios, we formulated a probabilistic model with some biologically reasonable assumptions for analyzing a set of duplicate pairs with three possible states: double-dispensable (DD), semi-dispensable (one dispensable one essential, DE) or double-essential (EE). A computational pipeline is then developed to predict the distribution of three states (DD, DE and EE) conditional of ancestral dispensability or essentiality, respectively. This model was applied to yeast duplicate pairs from a whole-genome duplication, revealing that the process of essentiality of those duplicated from essential genes could be significantly higher than that of those duplicated from dispensable genes. We thus proposed a hypothesis that the process of sub-functionalization may be faster than neo-functionalization. Our analysis may provide some new insights about the role of duplicate compensation on genetic robustness.