Moran, U. | Search bioRxiv

bioRxiv2022

The trophic pyramid revisited: most animal classes have more predator than herbivore species

According to the trophic pyramid, a large array of herbivores (primary consumers) feed an increasingly narrower array of predators, from secondary consumers to top predators. However, the partitioning between herbivory and predation across the animal kingdom has not yet been tested at the global scale. Here, we use a survey of 33,762 animal species across ten major taxonomic groups (five vertebrates and five invertebrates) to partition food sources at the class and phylum levels. We use this partitioning, together with class-level biomass estimates, to create a global trophic pyramid of biomass. We show that: (1) the diet of eight of the ten groups of animals is dominated by prey rather than plants, accounting for 64-99% of the diet mass; (2) collectively across the terrestrial and marine environments, secondary consumers (invertivores; [~]1200 Mt C) have higher biomass than primary consumers (herbivores; [~]500 Mt C); (3) the two major exceptions, feeding mostly on plants, are mammals and insects; the latter form the major food source for terrestrial animals. For animal species in most classes, plants are not a food source, but rather invertebrates, mostly arthropods. Secondary consumers (invertivores) link primary consumers and top predators, and are hence pivotal to almost all food-webs.

ecology↗

bioRxiv2020

Hotspot KRAS mutations in brain metastases at the first metastatic recurrence of cutaneous melanoma

IMPORTANCEBrain metastases occur in 60% of patients with advanced melanoma and are a major cause of melanoma-related mortality and morbidity. Although our understanding of the molecular alterations associated with melanoma progression is improving, there are currently no validated biomarkers which might help identify those patients at highest risk of developing brain metastases. OBJECTIVETo examine the somatic mutational and copy-number landscape of brain metastases that develop as the isolated first visceral site of recurrence - "early brain-metastasis" compared to extracranial melanoma metastases. DESIGN, SETTING AND PARTICIPANTSWhole-exome sequencing of 50 tumors from patients undergoing surgical resection of one or more brain metastasis occurring as the first site of visceral relapse were identified from prospectively maintained databases in Sydney, Wellington, New York and Cambridge. Whole exome sequencing analyses allowed mutational profiles to be compared to cutaneous melanomas in The Cancer Genome Atlas (SKCM-TCGA; n=358) and the Memorial Sloan Kettering (SKCM-MSK-IMPACT; n=186) datasets. An external dataset comprising a further 18 patients with surgically resected early brain metastasis from two additional academic centers served as an independent validation cohort. MAIN OUTCOMES AND MEASURESTo assess the frequency of driver mutations in early brain metastasis and their influence on survival. RESULTSIn concordance with the landmark melanoma sequencing studies, we identified mutations in BRAF (21/50, 42%), NRAS (14/50, 28%) and NF1 (11/50, 22%) as the most frequently mutated melanoma driver genes. When compared to the mutational landscape of cutaneous melanomas in TCGA (SKCM-TCGA), KRAS was the most significantly enriched driver gene, with 5/50 (10%) of brain metastases harboring non-synonymous mutations, of which 4/5 (80%) were in the hotspot positions of codons 12 and 61. This was significantly higher than the corresponding frequency of KRAS-mutations within the entire SKCM-TCGA (2% (7/358), p=0.009, Fishers Exact Test) as well as the SKCM-MSK-IMPACT cohort (1.6% (3/186), p=0.016). Variants in KRAS were mutually exclusive from BRAFV600, NRAS and HRAS mutations and were associated with a significantly reduced overall survival from resection of brain metastasis (relative to KRAS-wild type brain metastases) in multivariate Cox proportional hazard models (HR 1.80, 95% CI 1.46-24.89, p=0.013). Mutations in KRAS were also clonal and concordant with extracranial disease, which suggests these mutations are present within the primary tumor CONCLUSIONS AND RELEVANCEOur analysis, the largest to date, suggests that early metastases to the brain (presenting as the first site of visceral relapse) are characterized by significant enrichment of hotspot KRAS mutations, potentially implicating constitutive RAS-driven cellular programs in neurotropic metastatic behavior in these cases. Based on these data, we suggest that screening for KRAS mutations might help identify those patients with primary melanoma at higher risk of brain metastases or poor survival, and could help inform future surveillance strategies. Key PointsO_ST_ABSQuestionC_ST_ABSWhat is the frequency of driver mutations in early melanoma brain metastases? FindingsIn this study of 50 patients with melanoma metastasizing first to the brain, KRAS mutations were the most significantly enriched driver gene (n=5, 10% of patients) when compared to landmark cutaneous melanoma studies. The high KRAS mutation frequency was also observed in an external validation cohort of 18 patients with early brain metastases. Mutations in KRAS were mutually exclusive from mutations in the key RAS signaling genes and conferred a worse overall survival from resection of brain metastasis. MeaningHotspot KRAS mutations could help identify those patients with primary melanoma at higher risk of brain metastases that may benefit from more intensive, protracted surveillance as well as earlier use of adjuvant therapy.

genomics↗

bioRxiv2019

A Deep Learning Approach for Rapid Mutational Screening in Melanoma

Image-based analysis as a rapid method for mutation detection can be advantageous in research or clinical settings when tumor tissue is limited or unavailable for direct testing. Here, we applied a deep convolutional neural network (CNN) to whole slide images of melanomas from 256 patients and developed a fully automated model that first selects for tumor-rich areas (Area Under the Curve AUC=0.96) then predicts for the presence of mutated BRAF in our test set (AUC=0.72) Model performance was cross-validated on melanoma images from The Cancer Genome Atlas (AUC=0.75). We confirm that the mutated BRAF genotype is linked to phenotypic alterations at the level of the nucleus through saliency mapping and pathomics analysis, which reveal that cells with mutated BRAF exhibit larger and rounder nuclei. Not only do these findings provide additional insights on how BRAF mutations affects tumor structural characteristics, deep learning-based analysis of histopathology images have the potential to be integrated into higher order models for understanding tumor biology, developing biomarkers, and predicting clinical outcomes.

pathology↗

bioRxiv2018

Revisiting tradeoffs in Rubisco kinetic parameters

Rubisco is the most abundant enzyme in the biosphere and one of the best-characterized enzymes. Based on correlations between Rubisco kinetic parameters, it is widely posited that tradeoffs embedded in the catalytic mechanism constrain its specificity and maximum catalytic rate. However, the reasoning that established this view was based on data from {approx}20 organisms. We re-examine these tradeoff models using a dataset from {approx}300 organisms. Most correlations are substantially attenuated, with the inverse relationship between carboxylation kcat and specificity SC/O being a key example. Only one tradeoff model survives in our dataset. In this model, increasing catalytic efficiency (kcat/KM) for carboxylation requires increased catalytic efficiency for the competing oxygenation reaction, evidenced by strong power-law correlation between catalytic efficiencies. Our results imply that Rubisco evolution is constrained primarily by the physicochemical limits of O2/CO2 discrimination, which should reframe efforts to engineer this very central enzyme.

systems biology↗