Biology subjects

Nelson Dittrich, A. C.

Publications and source records attributed to Nelson Dittrich, A. C..

4 recordsLinked to original sources

bioRxiv2025

RBP47 family members are negative regulators of heat stress tolerance in Arabidopsis thaliana

Stress granules (SGs) are liquid-liquid phase-separated condensates that sequester RNA, proteins, and metabolites to modulate cellular physiology under stress. In Arabidopsis, the RNA-binding protein RBP47b is a canonical SG marker, yet its functional contribution to thermotolerance remains unresolved. Here, we combined mTurboID proximity labeling with multi-omics profiling to define the RBP47b interactome and its physiological impact. mTurboID identified a stress-specific enrichment of 40S ribosomal subunits within RBP47b SGs, implicating these condensates in translational control. Surprisingly, quadruple mutant plants lacking all four RBP47 paralogues (rbp47abcc') displayed enhanced survival, attenuated growth delay, and faster recovery of photosynthetic efficiency after severe heat stress. Integrated transcriptome, proteome, and metabolome analyses revealed that this gain of thermotolerance is associated with (i) accelerated re-initiation of translation, (ii) constitutively elevated jasmonate and oxylipin pools, and (iii) reduced ROS accumulation during heat and recovery. We conclude that the RBP47 family acts as a negative regulator of heat tolerance by sequestering 40S subunits and limiting translational restart; loss of these SG scaffolds pre-primes jasmonate-dependent detoxification pathways and expedites proteome rebuilding, thereby conferring superior thermotolerance.

plant biology↗

bioRxiv2022

Comparative multi-omic analyses reveal gene regulatory networks controlling physiological and metabolic responses to drought in upland cotton

Drought stress substantially impacts crop physiology resulting in alteration of growth and productivity. Understanding the genetic and molecular crosstalk between stress responses and agronomically important traits such as fiber yield is particularly complicated in the allopolyploid species, upland cotton (Gossypium hirsutum), due to reduced sequence variability between A and D subgenomes. To better understand how drought stress impacts yield, the transcriptomes of 22 genetically and phenotypically diverse upland cotton accessions grown under well-watered and water-limited conditions in the Arizona low desert were sequenced. Gene co-expression analyses were performed, uncovering a group of stress response genes, in particular transcription factors GhDREB2A-A and GhHSFA6B-D, associated with improved yield under water-limited conditions in an ABA-independent manner. DNA affinity purification sequencing (DAP-seq), as well as public cistrome data from Arabidopsis, were used to identify targets of these two TFs. Among these targets were two lint-yield associated genes previously identified through genome-wide association studies (GWAS) -based approaches, GhABP-D and GhIPS1-A. Biochemical and phylogenetic approaches were used to determine that GhIPS1-A is positively regulated by GhHSFA6B-D, and that this regulatory mechanism is specific to Gossypium spp. containing the A (old-world) genome. Finally, a SNP was identified within the GhHSFA6B-D binding site in GhIPS1-A that is positively associated with yield under water limiting conditions. These data lay out a regulatory connection between abiotic stress and fiber yield in cotton that appears conserved in other systems such as Arabidopsis. This regulatory mechanism highlights how sub-genome dynamics contribute to phenotypic stress-response plasticity in cotton.

plant biology↗

bioRxiv2021

Identification and Functional Annotation of Long Intergenic Non-coding RNAs in the Brassicaceae

Long intergenic noncoding RNAs (lincRNAs) are a large yet enigmatic class of eukaryotic transcripts with critical biological functions. Despite the wealth of RNA-seq data available, lincRNA identification lags in the plant lineage. In addition, there is a need for a harmonized identification and annotation effort to enable cross-species functional and genomic comparisons. In this study we processed >24 Tbp of RNA-seq data from >16,000 experiments to identify ~130,000 lincRNAs in four Brassicaceae: Arabidopsis thaliana, Camelina sativa, Brassica rapa, and Eutrema salsugineum. We used Nanopore RNA-seq, transcriptome-wide structural information, peptide data, and epigenomic data to characterize these lincRNAs and identify functional motifs. We then used comparative genomic and transcriptomic approaches to highlight lincRNAs in our dataset with sequence or transcriptional evolutionary conservation, including lincRNAs transcribed adjacent to orthologous genes that display little sequence similarity and likely function as transcriptional regulators. Finally, we used guilt-by-association techniques to further classify these lincRNAs according to putative function. LincRNAs with Brassicaceae-conserved putative miRNA binding motifs, short ORFs, and whose expression is modulated by abiotic stress are a few of the annotations that will prioritize and guide future functional analyses.

genomics↗

bioRxiv2019

Evolution of herbivory remodels a Drosophila genome

One-quarter of extant Eukaryotic species are herbivorous insects, yet the genomic basis of this extraordinary adaptive radiation is unclear. Recently-derived herbivorous species hold promise for understanding how colonization of living plant tissues shaped the evolution of herbivore genomes. Here, we characterized exceptional patterns of evolution coupled with a recent (<15 mya) transition to herbivory of mustard plants (Brassicaceae, including Arabidopsis thaliana) in the fly genus Scaptomyza, nested within the paraphyletic genus Drosophila. We discovered a radiation of mustard-specialized Scaptomyza species, comparable in diversity to the Drosophila melanogaster species subgroup. Stable isotope, behavioral, and viability assays revealed these flies are obligate herbivores. Genome sequencing of one species, S. flava, revealed that the evolution of herbivory drove a contraction in gene families involved in chemosensation and xenobiotic metabolism. Against this backdrop of losses, highly targeted gains (\"blooms\") were found in Phase I and Phase II detoxification gene sub-families, including glutathione S-transferase (Gst) and cytochrome P450 (Cyp450) genes. S. flava has more validated paralogs of a single Cyp450 (N=6 for Cyp6g1) and Gst (N=5 for GstE5-8) than any other drosophilid. Functional studies of the Gst repertoire in S. flava showed that transcription of S. flava GstE5-8 paralogs was differentially regulated by dietary mustard oils, and of 22 heterologously expressed cytosolic S. flava GST enzymes, GSTE5-8 enzymes were exceptionally well-adapted to mustard oil detoxification in vitro. One, GSTE5-8a, was an order of magnitude more efficient at metabolizing mustard oils than GSTs from any other metazoan. The serendipitous intersection of two genetic model organisms, Drosophila and Arabidopsis, helped illuminate how an insect genome was remodeled during the evolutionary transformation to herbivory, identifying mechanisms that facilitated the evolution of the most diverse guild of animal life.\n\nSIGNIFICANCE STATEMENTThe origin of land plants >400 million years ago (mya) spurred the diversification of plant-feeding (herbivorous) insects and triggered an ongoing chemical co-evolutionary arms race. Because ancestors of most herbivorous insects first colonized plants >200 mya, the sands of time have buried evidence of how their genomes changed with their diet. We leveraged the serendipitous intersection of two genetic model systems: a close relative of yeast-feeding fruit fly (Drosophila melanogaster), the \"wasabi fly\" (Scaptomyza flava), that evolved to consume mustard plants including Arabidopsis thaliana. The yeast-to-mustard dietary transition remodeled the flys gene repertoire for sensing and detoxifying chemicals. Although many genes were lost, some underwent duplications that encode the most efficient detoxifying enzymes against mustard oils known from animals.

evolutionary biology↗