High marker density GWAS provides novel insights into the genomic architecture of terpene oil yield in Eucalyptus

Terpenoid based essential oils are economically important commodities, yet beyond their biosynthetic pathways, little is known about the genetic architecture of terpene oil yield from plants. Transport, storage, evaporative loss, transcriptional regulation and precursor competition may be important contributors to this complex trait. Here, we associate 2.39 M single nucleotide polymorphisms derived from shallow whole genome sequencing of 468 Eucalyptus polybractea individuals with 12 traits related to the overall terpene yield, eight direct measures of terpene concentration and four biomass‐related traits. Our results show that in addition to terpene biosynthesis, development of secretory cavities where terpenes are both synthesised and stored, and transport of terpenes were important components of terpene yield. For sesquiterpene concentrations, the availability of precursors in the cytosol was important. Candidate terpene synthase genes for the production of 1,8‐cineole and α‐pinene, and β‐pinene, (which made up more than 80% of the total terpenes) were functionally characterised as a 1,8‐cineole synthase and a β / α‐pinene synthase. Our results provide novel insights of the genomic architecture of terpene yield and we provide candidate genes for breeding or engineering of crops for biofuels or the production of industrially valuable terpenes

Dynamic Maize Responses to Aphid Feeding Are Revealed by a Time Series of Transcriptomic and Metabolomic Assays

As a response to insect attack, maize (Zea mays) has inducible defenses that involve large changes in gene expression and metabolism. Piercing/sucking insects such as corn leaf aphid (Rhopalosiphum maidis) cause direct damage by acquiring phloem nutrients as well as indirect damage through the transmission of plant viruses. To elucidate the metabolic processes and gene expression changes involved in maize responses to aphid attack, leaves of inbred line B73 were infested with corn leaf aphids for 2 to 96 h. Analysis of infested maize leaves showed two distinct response phases, with the most significant transcriptional and metabolic changes occurring in the first few hours after the initiation of aphid feeding. After 4 d, both gene expression and metabolite profiles of aphid-infested maize reverted to being more similar to those of control plants. Although there was a predominant effect of salicylic acid regulation, gene expression changes also indicated prolonged induction of oxylipins, although not necessarily jasmonic acid, in aphid-infested maize. The role of specific metabolic pathways was confirmed using Dissociator transposon insertions in maize inbred line W22. Mutations in three benzoxazinoid biosynthesis genes, Bx1, Bx2, and Bx6, increased aphid reproduction. In contrast, progeny production was greatly decreased by a transposon insertion in the single W22 homolog of the previously uncharacterized B73 terpene synthases TPS2 and TPS3. Together, these results show that maize leaves shift to implementation of physical and chemical defenses within hours after the initiation of aphid feeding and that the production of specific metabolites can have major effects in maize-aphid interactions.Peer reviewe

Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorithm for the prediction of clinical pathways

The Covid-19 pandemic has pushed many hospitals to their capacity limits. Therefore, a triage of patients has been discussed controversially primarily through an ethical perspective. The term triage contains many aspects such as urgency of treatment, severity of the disease and pre-existing conditions, access to critical care, or the classification of patients regarding subsequent clinical pathways starting from the emergency department. The determination of the pathways is important not only for patient care, but also for capacity planning in hospitals. We examine the performance of a human-made triage algorithm for clinical pathways which is considered a guideline for emergency departments in Germany based on a large multicenter dataset with over 4,000 European Covid-19 patients from the LEOSS registry. We find an accuracy of 28 percent and approximately 15 percent sensitivity for the ward class. The results serve as a benchmark for our extensions including an additional category of palliative care as a new label, analytics, AI, XAI, and interactive techniques. We find significant potential of analytics and AI in Covid-19 triage regarding accuracy, sensitivity, and other performance metrics whilst our interactive human-AI algorithm shows superior performance with approximately 73 percent accuracy and up to 76 percent sensitivity. The results are independent of the data preparation process regarding the imputation of missing values or grouping of comorbidities. In addition, we find that the consideration of an additional label palliative care does not improve the results

High marker density GWAS provides novel insights into the genomic architecture of terpene oil yield in Eucalyptus

Terpenoid-based essential oils are economically important commodities, yet beyond their biosynthetic pathways, little is known about the genetic architecture of terpene oil yield from plants. Transport, storage, evaporative loss, transcriptional regulation and precursor competition may be important contributors to this complex trait. Here, we associate 2.39 million single nucleotide polymorphisms derived from shallow whole-genome sequencing of 468 Eucalyptus polybractea individuals with 12 traits related to the overall terpene yield, eight direct measures of terpene concentration and four biomass-related traits. Our results show that in addition to terpene biosynthesis, development of secretory cavities, where terpenes are both synthesized and stored, and transport of terpenes were important components of terpene yield. For sesquiterpene concentrations, the availability of precursors in the cytosol was important. Candidate terpene synthase genes for the production of 1,8-cineole and α-pinene, and β-pinene (which comprised > 80% of the total terpenes) were functionally characterized as a 1,8-cineole synthase and a β/α-pinene synthase. Our results provide novel insights into the genomic architecture of terpene yield and we provide candidate genes for breeding or engineering of crops for biofuels or the production of industrially valuable terpenes.This work was supported by the Australian Research Council (DP140101755) and funding by Rural Industries Research Development Corporation, Australia

Intelligent Vacuum-Assisted Biopsy to Identify Breast Cancer Patients With Pathologic Complete Response (ypT0 and ypN0) After Neoadjuvant Systemic Treatment for Omission of Breast and Axillary Surgery

PURPOSE Neoadjuvant systemic treatment (NST) elicits a pathologic complete response in 40%-70% of women with breast cancer. These patients may not need surgery as all local tumor has already been eradicated by NST. However, nonsurgical approaches, including imaging or vacuum-assisted biopsy (VAB), were not able to accurately identify patients without residual cancer in the breast or axilla. We evaluated the feasibility of a machine learning algorithm (intelligent VAB) to identify exceptional responders to NST. METHODS We trained, tested, and validated a machine learning algorithm using patient, imaging, tumor, and VAB variables to detect residual cancer after NST (ypT+ or in situ or ypN+) before surgery. We used data from 318 women with cT1-3, cN0 or +, human epidermal growth factor receptor 2-positive, triple-negative, or high-proliferative Luminal B-like breast cancer who underwent VAB before surgery (ClinicalTrials.gov identifier: , RESPONDER trial). We used 10-fold cross-validation to train and test the algorithm, which was then externally validated using data of an independent trial (ClinicalTrials.gov identifier: ). We compared findings with the histopathologic evaluation of the surgical specimen. We considered false-negative rate (FNR) and specificity to be the main outcomes. RESULTS In the development set (n = 318) and external validation set (n = 45), the intelligent VAB showed an FNR of 0.0%-5.2%, a specificity of 37.5%-40.0%, and an area under the receiver operating characteristic curve of 0.91-0.92 to detect residual cancer (ypT+ or in situ or ypN+) after NST. Spiegelhalter's Z confirmed a well-calibrated model (z score -0.746, P = .228). FNR of the intelligent VAB was lower compared with imaging after NST, VAB alone, or combinations of both. CONCLUSION An intelligent VAB algorithm can reliably exclude residual cancer after NST. The omission of breast and axillary surgery for these exceptional responders may be evaluated in future trials

Array-based molecular karyotyping in 115 VATER/VACTERL and VATER/VACTERL-like patients identifies disease-causing copy number variations

BackgroundThe acronym VATER/VACTERL refers to the rare nonrandom association of the following component features (CF): vertebral defects (V), anorectal malformations (A), cardiac defects (C), tracheoesophageal fistula with or without esophageal atresia, renal malformations (R), and limb defects (L). Patients presenting with at least three CFs are diagnosed as having VATER/VACTERL association while patients presenting with only two CFs are diagnosed as having VATER/VACTERL-like phenotypes. Recently, rare causative copy number variations (CNVs) have been identified in patients with VATER/VACTERL association and VATER/VACTERL-like phenotypes. MethodsTo detect further causative CNVs we performed array based molecular karyotyping in 75 VATER/VACTERL and 40 VATER/VACTERL-like patients. ResultsFollowing the application of stringent filter criteria, we identified 13 microdeletions and seven microduplications in 20 unrelated patients all of which were absent in 1,307 healthy inhouse controls (n < 0.0008). Among these, microdeletion at 17q12 was confirmed to be de novo. Three microdeletions at 5q23.1, 16q23.3, 22q11.21, and one microduplication at 10q11.21 were all absent in the available parent. Microdeletion of chromosomal region 22q11.21 was previously found in VATER/VACTERL patients rendering it to be causative in our patient. The remaining 15 CNVs were inherited from a healthy parent. ConclusionIn two of 115 patients' causative CNVs were found (2%). The remaining identified rare CNVs represent candidates for further evaluation. Rare inherited CNVs may constitute modifiers of, or contributors to, multifactorial VATER/VACTERL or VATER/VACTERL-like phenotypes. Birth Defects Research 109:1063-1069, 2017. (c) 2017 Wiley Periodicals, Inc

Array-based molecular karyotyping in 115 VATER/VACTERL and VATER/VACTERL-like patients identifies disease-causing copy number variations

BackgroundThe acronym VATER/VACTERL refers to the rare nonrandom association of the following component features (CF): vertebral defects (V), anorectal malformations (A), cardiac defects (C), tracheoesophageal fistula with or without esophageal atresia, renal malformations (R), and limb defects (L). Patients presenting with at least three CFs are diagnosed as having VATER/VACTERL association while patients presenting with only two CFs are diagnosed as having VATER/VACTERL-like phenotypes. Recently, rare causative copy number variations (CNVs) have been identified in patients with VATER/VACTERL association and VATER/VACTERL-like phenotypes. MethodsTo detect further causative CNVs we performed array based molecular karyotyping in 75 VATER/VACTERL and 40 VATER/VACTERL-like patients. ResultsFollowing the application of stringent filter criteria, we identified 13 microdeletions and seven microduplications in 20 unrelated patients all of which were absent in 1,307 healthy inhouse controls (n < 0.0008). Among these, microdeletion at 17q12 was confirmed to be de novo. Three microdeletions at 5q23.1, 16q23.3, 22q11.21, and one microduplication at 10q11.21 were all absent in the available parent. Microdeletion of chromosomal region 22q11.21 was previously found in VATER/VACTERL patients rendering it to be causative in our patient. The remaining 15 CNVs were inherited from a healthy parent. ConclusionIn two of 115 patients' causative CNVs were found (2%). The remaining identified rare CNVs represent candidates for further evaluation. Rare inherited CNVs may constitute modifiers of, or contributors to, multifactorial VATER/VACTERL or VATER/VACTERL-like phenotypes. Birth Defects Research 109:1063-1069, 2017. (c) 2017 Wiley Periodicals, Inc

Human exome and mouse embryonic expression data implicateZFHX3,TRPS1, andCHD7in human esophageal atresia

Introduction Esophageal atresia with or without tracheoesophageal fistula (EA/TEF) occurs approximately 1 in 3.500 live births representing the most common malformation of the upper digestive tract. Only half a century ago, EA/TEF was fatal among affected newborns suggesting that the steady birth prevalence might in parts be due to mutationalde novoevents in genes involved in foregut development. Methods To identify mutationalde novoevents in EA/TEF patients, we surveyed the exome of 30 case-parent trios. Identified and confirmedde novovariants were prioritized usingin silicoprediction tools. To investigate the embryonic role of genes harboring prioritizedde novovariants we performed targeted analysis of mouse transcriptome data of esophageal tissue obtained at the embryonic day (E) E8.5, E12.5, and postnatal. Results In total we prioritized 14 novelde novovariants in 14 different genes (APOL2,EEF1D,CHD7,FANCB,GGT6,KIAA0556,NFX1,NPR2,PIGC,SLC5A2,TANC2,TRPS1,UBA3, andZFHX3) and eight rarede novovariants in eight additional genes (CELSR1,CLP1,GPR133,HPS3,MTA3,PLEC,STAB1, andPPIP5K2). Through personal communication during the project, we identified an additional EA/TEF case-parent trio with a rarede novovariant inZFHX3.In silicoprediction analysis of the identified variants and comparative analysis of mouse transcriptome data of esophageal tissue obtained at E8.5, E12.5, and postnatal prioritizedCHD7,TRPS1, andZFHX3as EA/TEF candidate genes. Re-sequencing ofZFHX3in additional 192 EA/TEF patients did not identify further putative EA/TEF-associated variants. Conclusion Our study suggests that rare mutationalde novoevents in genes involved in foregut development contribute to the development of EA/TEF