Search bioRxiv⌕ Search

Biology subjects

Waite, S.

Publications and source records attributed to Waite, S..

2 recordsLinked to original sources

Genomic Consequences of Altered Flood Regimes: Gene Flow and Adaptation in a Threatened Floodplain Plant

Floodplains are highly dynamic ecotones where species persistence depends on synchrony between natural flow regimes and life-history. Artificial river engineering has profoundly altered these systems by reducing the frequency and magnitude of spring floods while increasing the unpredictability of flood timing and intensity during summer. These hydrological changes have disrupted historical patterns of dispersal, growth, reproduction, and competitive success among floodplain specialists. Effective conservation in these ecosystems therefore requires understanding how human-altered flow regimes have reshaped floodplain specialists' demography, genetic diversity, genetic connectivity, functional variation, and adaptive potential. Here, we address this challenge in Boltonia decurrens, a federally threatened floodplain plant endemic to the Illinois River Valley, by integrating a chromosome-scale reference genome, whole-genome resequencing, and common-garden adaptive trait measurements from 424 individuals across 17 populations. Demographic analyses revealed a severe recent bottleneck and a subsequent rebound. Population structure was clinal with downstream-dominant gene flow, indicating that regional population connectivity predominates over longer-distance gene flow. A subset of populations showed elevated genetic isolation with increased inbreeding and homozygous deleterious burden, revealing a genomic cost of disrupted floodplain connectivity. Common-garden observations and GWAS showed extensive within-population phenotypic and genetic variation in flowering time, flowering stem height, and year of first flowering (1st vs. 2nd year), which are hypothesized to buffer populations and to be selectively maintained under human-altered flow regimes. Finally, landscape-genomic approaches detected a divergent haplotype block separating northern and southern populations, suggesting that adaptive divergence can persist even in a system shaped by recurrent disturbance and ongoing gene flow.

evolutionary biology↗

Validation of non-invasive body-surface gastric mapping for detecting electrophysiological biomarkers by simultaneous high-resolution serosal mapping in a porcine model

Gastric disorders are increasingly prevalent, but reliable clinical tools to objectively assess gastric function are lacking. Body-surface gastric mapping (BSGM) is a non-invasive method for the detection of gastric electrophysiological biomarkers including slow wave direction, which have correlated with symptoms in patients with gastroparesis and functional dyspepsia. However, no studies have validated the relationship between gastric slow waves and body surface activation profiles. This study aimed to comprehensively evaluate the relationship between gastric slow waves and body-surface recordings. High-resolution electrode arrays were placed to simultaneously capture slow waves from the gastric serosa (32x6 electrodes at 4 mm resolution) and abdominal surface (8x8 at 20 mm inter-electrode spacing) in a porcine model. BSGM signals were extracted based on a combination of wavelet and phase information analyses. A total of 1185 individual cycles of slow waves assessed, out of which 897 (76%) were normal antegrade waves, occurring in 10/14 (71%) subjects studied. BSGM accurately detected the underlying slow wave in terms of frequency (r = 0.99, p = 0.43) as well as the direction of propagation (p = 0.41, F-measure: 0.92). In addition, the cycle-by-cycle match between BSGM and transitions of gastric slow waves in terms either or both temporal and spatial abnormalities was demonstrated. These results validate BSGM as a suitable method for non-invasively and accurately detecting gastric slow wave activation profiles from the body surface. Single sentence summarySimultaneous recordings of the stomach using serosal and body-surface electrode arrays demonstrated reliable detection of frequency and classification of propagation.

physiology↗