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DOE OSTI2019

The Genetic Architecture of Shoot and Root Trait Divergence Between Mesic and Xeric Ecotypes of a Perennial Grass

Environmental heterogeneity can drive patterns of functional trait variation and lead to the formation of locally adapted ecotypes. Plant ecotypes are often differentiated by suites of correlated root and shoot traits that share common genetic, developmental, and physiological relationships. For instance, although plant water loss is largely governed by shoot systems, root systems determine water access and constrain shoot water status. To evaluate the genetic basis of root and shoot trait divergence, we developed a recombinant inbred population derived from mesic and xeric ecotypes of the perennial grass Panicum hallii. Our study sheds light on the genetic architecture underlying the relationships between root and shoot traits. We identified several genomic “hotspots” which control suites of correlated root and shoot traits, thus indicating genetic coordination between plant organ systems in the process of ecotypic divergence. Genomic regions of colocalized quantitative trait locus (QTL) for the majority of shoot and root growth related traits were independent of colocalized QTL for shoot and root resource acquisition traits. The allelic effects of individual QTL underscore ecological specialization for drought adaptation between ecotypes and reveal possible hybrid breakdown through epistatic interactions. These results have implications for understanding the factors constraining or facilitating local adaptation in plants.

epistasis↗

DOE OSTI2021

QTL × environment interactions underlie ionome divergence in switchgrass

Abstract Ionomics measures elemental concentrations in biological organisms and provides a snapshot of physiology under different conditions. In this study, we evaluate genetic variation of the ionome in outbred, perennial switchgrass in three environments across the species’ native range, and explore patterns of genotype-by-environment interactions. We grew 725 clonally replicated genotypes of a large full sib family from a four-way linkage mapping population, created from deeply diverged upland and lowland switchgrass ecotypes, at three common gardens. Concentrations of 18 mineral elements were determined in whole post-anthesis tillers using ion coupled plasma mass spectrometry (ICP-MS). These measurements were used to identify quantitative trait loci (QTL) with and without QTL-by-environment interactions (QTLxE) using a multi-environment QTL mapping approach. We found that element concentrations varied significantly both within and between switchgrass ecotypes, and GxE was present at both the trait and QTL level. Concentrations of 14 of the 18 elements were under some genetic control, and 77 QTL were detected for these elements. Seventy-four percent of QTL colocalized multiple elements, half of QTL exhibited significant QTLxE, and roughly equal numbers of QTL had significant differences in magnitude and sign of their effects across environments. The switchgrass ionome is under moderate genetic control and by loci with highly variable effects across environments.

59 BASIC BIOLOGICAL SCIENCES↗

DOE OSTI2024

A global gridded dataset for cloud vertical structure from combined CloudSat and CALIPSO observations

Abstract. The vertical structure of clouds has a profound effect on the global energy budget, the global circulation, and the atmospheric hydrological cycle. The CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) missions have taken complementary, colocated observations of cloud vertical structure for over a decade. However, no globally gridded dataset is available to the public for the full length of this unique combined data record. Here we present the 3S-GEOPROF-COMB product (Bertrand et al. 2023, https://doi.org/10.5281/zenodo.8057791), a globally gridded (level 3S) community data product summarizing geometrical profiles (GEOPROF) of hydrometeor occurrence from combined (COMB) CloudSat and CALIPSO data. Our product is calculated from the latest release (R05) of per-orbit (level-2) combined cloud mask profiles. We process a set of cloud cover, vertical cloud fraction, and sampling variables at 2.5, 5, and 10° spatial resolutions and monthly and seasonal temporal resolutions. We address the 2011 reduction in CloudSat data collection with Daylight-Only Operations (DO-Op) mode by subsampling pre-2011 data to mimic DO-Op collection patterns, thereby allowing users to evaluate the impact of the reduced sampling on their analyses. We evaluate our data product against CloudSat-only and CALIPSO-only global-gridded data products as well as four comparable surface-based sites, underscoring the added value of the combined product. Interest in the product is anticipated for the study of cloud processes, cloud–climate interactions, and as a candidate baseline climate data record for comparison to follow-up satellite missions, among other uses.

Bertrand, Leah (ORCID:0009000001607558)↗

DOE OSTI2018

Inflammatory mediators ATP and S100A12 activate the NLRP3 inflammasome to induce MUC5AC production in airway epithelial cells

Highlights: • S100A12 activates NLPR3 inflammasomes to induce MUC5AC production in epithelial cells. • ATP induces MUC5AC production in a mechanistically similar mode to S100A12. • S100A12-mediated MUC5AC production involves engagement of ATP. Danger-associated molecular patterns (DAMPs) play a proinflammatory role in the pathogenesis of airway obstructive diseases such as severe asthma and chronic obstructive pulmonary disease. The NLRP3 inflammasome is a cytosolic multiprotein platform that activates the caspase-1 pathway in response to inflammatory stimuli such as DAMPs. ATP and S100 proteins are newly identified DAMPs that accumulate in inflamed airways. We previously demonstrated that S100A8, S100A9, and S100A12 induce production and secretion of MUC5AC, a major mucin in the conducting airway mucosa. The purpose of this study was to determine the involvement of NLRP3 inflammasome in, and the contribution of ATP to, S100 protein-induced MUC5AC production by NCI-H292 mucoepidermoid carcinoma cells. Stimulation with either S100A12 or ATP led to MUC5AC production at comparable levels. Simultaneous treatment with both stimuli resulted in additive increases in NLRP3, active caspase-1, IL-1β, NLRP3/caspase-1 colocalization, and MUC5AC. NLRP3 siRNA or inhibitors of NF-κB, NLRP3 inflammasome oligomerization, or caspase-1 nearly completely inhibited ATP- and S100A12-mediated MUC5AC production. Furthermore, S100A12-as well as ATP-mediated MUC5AC production was almost equally blunted by both nonspecific and specific antagonists of the purinergic receptor P2X7, a principal receptor mediating NLRP3 inflammasome activation by ATP. Thus, these two danger signals contribute to MUC5AC production in airway epithelial cells through overlapping signaling pathways for NLRP3 inflammasome activation.

60 APPLIED LIFE SCIENCES↗