Institution
Murdoch University
Education•Perth, Western Australia, Australia•
About: Murdoch University is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 5921 authors who have published 18190 publications receiving 492237 citations.
Topics: Population, Context (language use), Gene, Genome, Higher education
Papers published on a yearly basis
Papers
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Christopher J L Murray1, Christopher J L Murray2, Christopher J L Murray3, Aleksandr Y. Aravkin3 +2269 more•Institutions (286)
TL;DR: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure.
3,059 citations
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TL;DR: This annotated reference sequence of wheat is a resource that can now drive disruptive innovation in wheat improvement, as this community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
Abstract: An annotated reference sequence representing the hexaploid bread wheat genome in 21 pseudomolecules has been analyzed to identify the distribution and genomic context of coding and noncoding elements across the A, B, and D subgenomes. With an estimated coverage of 94% of the genome and containing 107,891 high-confidence gene models, this assembly enabled the discovery of tissue- and developmental stage-related coexpression networks by providing a transcriptome atlas representing major stages of wheat development. Dynamics of complex gene families involved in environmental adaptation and end-use quality were revealed at subgenome resolution and contextualized to known agronomic single-gene or quantitative trait loci. This community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
2,118 citations
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TL;DR: A computer program, ARAGORN, identifies tRNA and tmRNA genes using heuristic algorithms to predict tRNA secondary structure, based on homology with recognized tRNA consensus sequences and ability to form a base-paired cloverleaf.
Abstract: A computer program, ARAGORN, identifies tRNA and tmRNA genes. The program employs heuristic algorithms to predict tRNA secondary structure, based on homology with recognized tRNA consensus sequences and ability to form a base-paired cloverleaf. tmRNA genes are identified using a modified version of the BRUCE program. ARAGORN achieves a detection sensitivity of 99% from a set of 1290 eubacterial, eukaryotic and archaeal tRNA genes and detects all complete tmRNA sequences in the tmRNA database, improving on the performance of the BRUCE program. Recently discovered tmRNA genes in the chloroplasts of two species from the 'green' algae lineage are detected. The output of the program reports the proposed tRNA secondary structure and, for tmRNA genes, the secondary structure of the tRNA domain, the tmRNA gene sequence, the tag peptide and a list of organisms with matching tmRNA peptide tags.
1,964 citations
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Seoul National University1, Hebrew University of Jerusalem2, University of Seville3, University of Copenhagen4, University of Valencia5, University of Coimbra6, United States Department of Agriculture7, Korea University8, State Oceanic Administration9, Murdoch University10, University of Salamanca11
TL;DR: The minimal standards for the quality of genome sequences and how they can be applied for taxonomic purposes are described.
Abstract: Advancement of DNA sequencing technology allows the routine use of genome sequences in the various fields of microbiology. The information held in genome sequences proved to provide objective and reliable means in the taxonomy of prokaryotes. Here, we describe the minimal standards for the quality of genome sequences and how they can be applied for taxonomic purposes.
1,908 citations
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Murdoch University1, Centre national de la recherche scientifique2, Colorado State University3, Harvard University4, United States Forest Service5, University of Canterbury6, Stellenbosch University7, Spanish National Research Council8, Autonomous University of Barcelona9, University of Granada10, University of Tartu11
TL;DR: The issues relevant to those types of ecosystems containing new combinations of species that arise through human action, environmental change, and the impacts of the deliberate and inadvertent introduction of species from other regions are explored.
Abstract: We e xplore the issues relevant to those types of ecosystems containing new combinations of species that arise through human action, environmental change, and the impacts of the deliberate and inadvertent introduction of species from other regions. Novel ecosystems (also termed ‘emerging ecosystems’) result when species occur in combinations and relative abundances that have not occurred previously within a given biome. Key characteristics are novelty, in the form of new species combinations and the potential for changes in ecosystem functioning, and human agency, in that these ecosystems are the result of deliberate or inadvertent human action. As more of the Earth becomes transformed by human actions, novel ecosystems increase in importance, but are relatively little studied. Either the degradation or invasion of native or ‘wild’ ecosystems or the abandonment of intensively managed systems can result in the formation of these novel systems. Important considerations are whether these new systems are persistent and what values they may have. It is likely that it may be very difficult or costly to return such systems to their previous state, and hence consideration needs to be given to developing appropriate management goals and approaches.
1,793 citations
Authors
Showing all 6008 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jeremy K. Nicholson | 141 | 773 | 80275 |
John J. McGrath | 120 | 791 | 124804 |
Elaine Holmes | 119 | 560 | 58975 |
Mike S. M. Jetten | 117 | 488 | 52356 |
Richard J. Hobbs | 108 | 592 | 68141 |
Rajeev K. Varshney | 102 | 709 | 39796 |
Henry Brodaty | 101 | 844 | 48276 |
Michael W. Anderson | 101 | 808 | 63603 |
John C. Lindon | 99 | 488 | 44063 |
Kim L Bennell | 99 | 625 | 33293 |
M. Thomas P. Gilbert | 98 | 376 | 33751 |
Lihua Xiao | 93 | 495 | 32721 |
Michael J. Wingfield | 93 | 1085 | 43943 |
David Lloyd | 90 | 1017 | 37691 |
Des R. Richardson | 89 | 418 | 30934 |