2021
DOI: 10.3390/d13040139
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All Populations Matter: Conservation Genomics of Australia’s Iconic Purple Wattle, Acacia purpureopetala

Abstract: Maximising genetic diversity in conservation efforts can help to increase the chances of survival of a species amidst the turbulence of the anthropogenic age. Here, we define the distribution and extent of genomic diversity across the range of the iconic but threatened Acacia purpureopetala, a beautiful sprawling shrub with mauve flowers, restricted to a few disjunct populations in far north Queensland, Australia. Seed production is poor and germination sporadic, but the species occurs in abundance at some fie… Show more

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Cited by 9 publications
(5 citation statements)
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“…(2018) and van der Merwe et al . (2021) that a Vulnerable rather than Critically Endangered EPBC Act status is more suitable for Purple‐flowered Wattle. This matches the current Queensland NC Act status.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…(2018) and van der Merwe et al . (2021) that a Vulnerable rather than Critically Endangered EPBC Act status is more suitable for Purple‐flowered Wattle. This matches the current Queensland NC Act status.…”
Section: Discussionmentioning
confidence: 99%
“…Nearly half of Purple-flowered Wattle seedlings began producing flowers and seed in November 2021, almost 2 years after post-fire germination. As the peak months for flowering by Purple-flowered Wattle are December and January (Gleed & Franklin 2018;van der Merwe et al 2021), it is expected that well over half of the 2 year old seedlings would have begun flowering by January 2022. Surveys of woodlands burnt 3 years previously also found Purple-flowered Wattle plants with seed pods (Ford et al 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Lyophilised leaf tissues were randomized in 96-well tube racks and submitted to Diversity Arrays Technology Pty Ltd. (DArT) for DNA extraction and genotyping using the medium density DArTseq option. The DArT pipeline has successfully informed many studies across a wide range of model and non-model organisms (e.g., [ 47 , 48 ]) and is a cost- and time-efficient solution for generating genomic-scale data. Genotype data were provided as Single Nucleotide Polymorphism (SNP) matrices assembled through DArT’s proprietary analytical pipeline supplied with quality informing statistics for each bi-allelic marker and sample.…”
Section: Methodsmentioning
confidence: 99%
“…To investigate admixture, individual ancestry coefficients were estimated using Sparse Non-Negative Matrix Factorisation (sNMF) in the R package LEA (Frichot & François 2015). The package uses cross-entropy values to infer the probable number of ancestral populations (K) in the data and assign individuals to genetic clusters and the optimal number of ancestral populations was selected based on the post-stabilisation of the steepest decline in cross-entropy values (Frichot & François 2015;van der Merwe et al 2021). The 'snmf' function was executed for values of K = 1-8 with 50 replicates for each value of K.…”
Section: Molecular Analysis Of Snp Datamentioning
confidence: 99%