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Featured researches published by Aisuo Wang.


Genome Announcements | 2013

Draft genome sequence of Bacillus thuringiensis strain DAR 81934, which exhibits molluscicidal activity.

Aisuo Wang; Julie Pattemore; Gavin Ash; Angela H. Williams; James K. Hane

ABSTRACT Bacillus thuringiensis has been widely used as a biopesticide for a long time. Its molluscicidal activity, however, is rarely realized. Here, we report the genome sequence of B. thuringiensis strain DAR 81934, a strain with molluscicidal activity against the pest snail Cernuella virgata.


Scientific Reports | 2015

Whole Genome Phylogeny of Bacillus by Feature Frequency Profiles (FFP)

Aisuo Wang; Gavin Ash

Fifty complete Bacillus genome sequences and associated plasmids were compared using the “feature frequency profile” (FFP) method. The resulting whole-genome phylogeny supports the placement of three Bacillus species (B. thuringiensis, B. anthracis and B. cereus) as a single clade. The monophyletic status of B. anthracis was strongly supported by the analysis. FFP proved to be more effective in inferring the phylogeny of Bacillus than methods based on single gene sequences [16s rRNA gene, GryB (gyrase subunit B) and AroE (shikimate-5-dehydrogenase)] analyses. The findings of FFP analysis were verified using kSNP v2 (alignment-free sequence analysis method) and Harvest suite (core genome sequence alignment method).


PLOS ONE | 2017

Evaluation of six candidate DNA barcode loci for identification of five important invasive grasses in eastern Australia

Aisuo Wang; David Gopurenko; Hanwen Wu; Brendan J. Lepschi

Invasive grass weeds reduce farm productivity, threaten biodiversity, and increase weed control costs. Identification of invasive grasses from native grasses has generally relied on the morphological examination of grass floral material. DNA barcoding may provide an alternative means to identify co-occurring native and invasive grasses, particularly during early growth stages when floral characters are unavailable for analysis. However, there are no universal loci available for grass barcoding. We herein evaluated the utility of six candidate loci (atpF intron, matK, ndhK-ndhC, psbE—petL, ETS and ITS) for barcode identification of several economically important invasive grass species frequently found among native grasses in eastern Australia. We evaluated these loci in 66 specimens representing five invasive grass species (Chloris gayana, Eragrostis curvula, Hyparrhenia hirta, Nassella neesiana, Nassella trichotoma) and seven native grass species. Our results indicated that, while no single locus can be universally used as a DNA barcode for distinguishing the grass species examined in this study, two plastid loci (atpF and matK) showed good distinguishing power to separate most of the taxa examined, and could be used as a dual locus to distinguish several of the invasive from the native species. Low PCR success rates were evidenced among two nuclear loci (ETS and ITS), and few species were amplified at these loci, however ETS was able to genetically distinguish the two important invasive Nassella species. Multiple loci analyses also suggested that ETS played a crucial role in allowing identification of the two Nassella species in the multiple loci combinations.


Mitochondrial DNA Part B | 2017

Complete chloroplast genome of Chilean needle grass, Nassella neesiana (Poaceae: Stipeae)

Aisuo Wang; Hanwen Wu; David Gopurenko

Abstract Nassella neesiana (Chilean needle grass) is a serious weed in Australia, and has been included in the list of Weeds of National Significance (WoNS). We present here, the complete chloroplast sequence of N. neesiana reconstructed from Illumina whole genome sequencing. The complete chloroplast sequence is 137,700 bp in size, and has similar gene content and structure as other published chloroplast genomes of Stipeae. The N. neesiana chloroplast genome is deposited at GenBank under accession number MF480752.


Journal of Phylogenetics & Evolutionary Biology | 2015

Molecular Phylogeny Inferred from 18S rRNA Gene Sequences of Nematodes Associated with Cernuella virgata, a Pest Snail in Australia

Aisuo Wang; Gavin Ash; M. Hodda; Farzad Jahromi

Pest snails are economically important pests of the grain industry. Nematode based bioagent appears to be a hope for controlling pest snails in an environment friendly way. Based on the dataset of 18S rRNA gene sequences, we propose a molecular phylogeny of nematodes baited with Cernuella virgata in soils collected from southern states of Australia. A total of 12 species (representing eight genera of nematodes) were identified and the inferred phylogenetic trees (Neighbor-Joining and Minium Evolution) placed them within three (I, IV and VII) out of the seven clades, indicating the possibility of multiple origins of snail parasitism. In Clade I and Clade VII, nematodes associated with Cernuella virgata formed sister group relationships with some slug – parasitic nematodes. We assume that snail – parasitic nematodes and slug - parasitic nematodes might share common ancestors in their evolutionary histories.


Plant and Soil | 2012

Arbuscular mycorrhizal fungal diversity in perennial pastures; responses to long-term lime application

Yj Guo; Y. Ni; Harsh Raman; Bree A. L. Wilson; Gavin Ash; Aisuo Wang; Guangdi Li


Crime in Australia: International Connections | 2004

Phylogenetic DNA Profiling: A Tool for the Investigation of Poaching

Paul Roffey; Pam Provan; Michelle Duffy; Aisuo Wang; Christopher Blanchard; Lyndall Angel


19th Australasian Weeds Conference (2014) | 2014

DNA barcoding for identification of exotic grass species present in eastern Australia

Aisuo Wang; David Gopurenko; Hanwen Wu; Rex Stanton; Brendan J. Lepschi


20th Australasian Weeds Conference (2016) | 2016

Chloroplast genome of serrated tussock (Nassella trichotoma): Structure and evolution

Aisuo Wang; Hanwen Wu; David Gopurenko


Molluscan Research | 2006

Differentiation of Australian and New Zealand abalone species based on partial mitochondrial gene sequences of 12S rRNA, 16S rRNA and ND2 (NADH dehydrogenase subunit 2)

Aisuo Wang; Paul Roffey; Christopher Blanchard; Lyndall Angel; Pamela Provan

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Hanwen Wu

Charles Sturt University

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Brendan J. Lepschi

Commonwealth Scientific and Industrial Research Organisation

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Gavin Ash

New South Wales Department of Primary Industries

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Paul Roffey

Charles Sturt University

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Rex Stanton

Charles Sturt University

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Farzad Jahromi

Charles Sturt University

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