Genome sequences of Arthrobacter spp. that use a modified sulfoglycolytic Embden-Meyerhof-Parnas pathway

Background: Sulfoglycolysis pathways enable the breakdown of the sulfosugar sulfoquinovose and environmental recycling of its carbon and sulfur content. Several pathways exist for the breakdown of sulfoquinovose that usually lead to production of C3-sulfonates (sulfolactate and 2,3-dihydroxypropanesulfonate) that are excreted and sustain secondary bacterial communities. The prototypical sulfoglycolytic pathway is a variant of the classical Embden-Meyerhof-Parnas pathway that has been described in gram-negative Escherichia coli and results in production of 2,3-dihydroxypropanesulfonate. Results: We used enrichment cultures to discover new sulfoglycolytic bacteria from Australian soil samples. Two gram-positive Arthrobacter spp. were isolated that produced sulfolactate as the metabolic end-product. Genome sequences identified a modified sulfoglycolytic Embden-Meyerhof-Parnas (sulfo-EMP) gene cluster that retained the core sulfoglycolysis genes encoding metabolic enzymes, but featuring the replacement of the gene encoding sulfolactaldehyde (SLA) reductase with SLA dehydrogenase, and the absence of sulfoquinovosidase and sulfoquinovose mutarotase genes. The gene clusters were broadly conserved across a range of other sequenced Actinobacteria. Conclusions: We report the first gram-positive soil bacteria that utilize sulfo-EMP pathways to metabolize SQ. Excretion of sulfolactate is consistent with an aerobic saprophytic lifestyle. This work broadens our knowledge of the sulfo-EMP pathway to include soil bacteria.

Terrorism in Australia: A Decade of Escalating Deaths and Injuries Supporting the Need for Counter-Terrorism Medicine

Background: Australia is ranked 71st on the Global Terrorism Index (GTI; 2019), a scoring system of terrorist activities. While it has a relatively low terrorist risk, events globally have wide-ranging repercussions putting first responders and emergency health workers at risk. Counter-Terrorism Medicine (CTM) is rapidly emerging as a sub-specialty needed to address these threats on the front line. This study aims to provide the epidemiological context for the past decade, detailing the unique injury types responders are likely to encounter, and to develop training programs utilizing these data. Methods: The Global Terrorism Database (GTD) was searched for all attacks in Australia from the years 2009-2019. Attacks met inclusion criteria if they fulfilled the following terrorism-related criteria as set by the GTD. Ambiguous events were excluded when there was uncertainty as to whether the incident met all of the criteria for inclusion as a GTD terrorist incident. The grey literature was reviewed, and each event was cross-matched with reputable international and national newspaper sources online to confirm or add details regarding weapon type used, and whenever available, details of victim and perpetrator fatalities and injuries. Results: Thirty-seven terrorist events occurred in the study time period. Of the thirty-seven incidents, twenty-six (70.2%) involved incendiary weapons, five (13.5%) involved firearms, four (10.8%) involved melee (bladed weapon/knife) attacks, two (5.4%) were explosive/bombing/dynamite attacks, and one (2.7%) was a mixed attack using both incendiary and melee weapons. All except one firearms-related incident (four out of five) resulted in either a fatality or injury or both. Every melee incident resulted in either a fatality or injury or both. Conclusions: In the decade from 2009 to 2019, terrorist attacks on Australian soil have been manageable, small-scale incidents with well-understood modalities. Eleven fatalities and fourteen injuries were sustained as a result of terrorist events during that period. Incendiary weapons were the most commonly chosen methodology, followed by firearms, bladed weapons, and explosive/bombings/dynamite attacks.

Australian Soil Classification

The Australian Soil Classification provides a framework for organising knowledge about Australian soils by allocating soils to classes via a key. Since its publication in 1996, this book has been widely adopted and formally endorsed as the official national system. It has provided a means of communication among scientists and land managers and has proven to be of particular value in land resource survey and research programs, environmental studies and education. Classification is a basic requirement of all science and needs to be periodically revised as knowledge increases. This third edition of The Australian Soil Classification includes updates from a working group of the National Committee on Soil and Terrain (NCST). The main change in this edition accommodates new knowledge and understanding of the significance, nature, distribution and refined testing for soils comprising deep sands, leading to the inclusion of a new Order, the Arenosols. The introduction of the Arenosols Order led to a review and changes to Calcarosols, Tenosols and Rudosols. The Australian Soil Classification is Volume 4 in the Australian Soil and Land Survey Handbooks Series.

Hancockiamides: phenylpropanoid piperazines from Aspergillus hancockii are biosynthesised by a versatile dual single-module NRPS pathway

The hancockiamides are an unusual new family of N-cinnamoylated piperazines from the Australian soil fungus Aspergillus hancockii, originating from mixed nonribosomal peptide and phenylpropanoid pathways.

Methodology to Prioritize Chilean Tailings Selection, According to Their Potential Risks

For centuries, Chile has been a territory with significant mining activity, resulting in associated social benefits and impacts. One of the main challenges the country faces today is the presence of a great number of mine tailings containing heavy metals, such as Cu, Cr, Ni, Zn, Pb, As, Cd, and Fe, which make up a potential risk for the population. This study is intended to develop a methodology for determining tailings requiring urgent treatment in Chile, based on risks associated with heavy metals. Geochemical data from 530 Chilean tailings were compared to the Dutch norm and the Canadian and Australian soil quality guidelines for residential use. Additionally, criteria about residents and water bodies were used, considering a 2-km area of influence around tailings. To do this, QGIS (Böschacherstrasse 10a CH-8624 Grüt (Gossau ZH), Zurich, Switzerland), a geospatial tool, was used to geolocate each deposit, considering regions, communes, rivers, lakes, and populated areas. To evaluate potential ecological contamination risks, Hakanson’s methodology was used. Results revealed the presence of 12 critical tailings in Chile that require urgent treatment. From the 530 tailings evaluated, 195 are located at less than 2 km from a populated area and 154 at less than 2 km from a water body. In addition, 347 deposits require intervention: 30 on Cu, 30 on Cr, 13 on Zn, 69 on Pb, 138 on As, 1 on Cd, and 5 on Hg.

A multivariate method for matching soil classification systems, with an Australian example

Differences between local systems of soil classification hinder the communication between pedologists from different countries. The FAO–UNESCO Soil Map of the World, as a fruit of world-wide collaboration between innumerable soil scientists, is recognised internationally. Ideally, pedologists should be able to match whole classes in their local systems to those in an international soil classification system. The Australian Soil Classification (ASC) system, created specifically for Australian soil, is widely used in Australia, and Australian pedologists wish to translate the orders they recognise into the FAO soil units when writing for readers elsewhere. We explored the feasibility of matching soil orders in the ASC to units in the FAO legend using a multivariate analysis. Twenty soil properties, variates, of 4927 profiles were estimated from their visible–near infrared reflectance (vis–NIR) spectra. We arranged the profiles in a Euclidean 20-dimensional orthogonal vector space defined by standardised variates. Class centroids were computed in that space, and the Euclidean distances between the centroids of the ASC orders and units in the FAO scheme were also computed. The shortest distance between a centroid of any ASC order and one of units in the FAO classification was treated as a best match. With only one exception the best matches were those that an experienced pedologist might expect. Second and third nearest neighbours in the vector space provided additional insight. We conclude that vis–NIR spectra represent sufficiently well the essential characters of the soil and so spectra could form the basis for the development of a universal soil classification system. In our case, we could assign with confidence the orders of the ASC to the units of the FAO scheme. A similar approach could be applied to link other national classification systems to one or other international systems of soil classification.