Identification of herbarium specimen sheet components from high-resolution images using deep learning.

Advanced computer vision techniques hold the potential to mobilise vast quantities of biodiversity data by facilitating the rapid extraction of text- and trait-based data from herbarium specimen digital images, and to increase the efficiency and accuracy of downstream data capture during digitisation. This investigation developed an object detection model using YOLOv5 and digitised collection images from the University of Melbourne Herbarium (MELU). The MELU-trained 'sheet-component' model-trained on 3371 annotated images, validated on 1000 annotated images, run using 'large' model type, at 640 pixels, for 200 epochs-successfully identified most of the 11 component types of the digital specimen images, with an overall model precision measure of 0.

A field-based investigation of simple phenol variation in Australian .

and other species of the yellow-staining section are responsible for mushroom-related poisoning cases that require treatment. However, longstanding anecdotal evidence indicates that this species appears to exhibit considerable variation in toxicity, resulting in gastrointestinal irritation of varying severity in most cases. We quantified the amount of phenol, hydroquinone, and catechol in mushrooms using a novel protocol for gas chromatography-mass spectrometry (GC-MS) and investigated their levels in different basidiomatal structures, different developmental stages, and on different nutritional substrates.

New targets acquired: Improving locus recovery from the Angiosperms353 probe set.

Premise: Universal target enrichment kits maximize utility across wide evolutionary breadth while minimizing the number of baits required to create a cost-efficient kit. The Angiosperms353 kit has been successfully used to capture loci throughout the angiosperms, but the default target reference file includes sequence information from only 6-18 taxa per locus. Consequently, reads sequenced from on-target DNA molecules may fail to map to references, resulting in fewer on-target reads for assembly, and reducing locus recovery.

Biogeography of the monocotyledon astelioid clade (Asparagales): A history of long-distance dispersal and diversification with emerging habitats.

The astelioid families (Asteliaceae, Blandfordiaceae, Boryaceae, Hypoxidaceae, and Lanariaceae) have centers of diversity in Australasia and temperate Africa, with secondary centers of diversity in Afromontane Africa, Asia, and Pacific Islands. The global distribution of these families makes this an excellent lineage to test if current distribution patterns are the result of vicariance or long-distance dispersal and to evaluate the roles of Tertiary climatic and geological drivers in lineage diversification. Sequence data were generated from five chloroplast regions (petL-psbE, rbcL, rps16-trnK, trnL-trnLF, trnS-trnSG) for 104 ingroup species sampled across global diversity.

Evolution of Lomandroideae: Multiple origins of polyploidy and biome occupancy in Australia.

Asparagaceae: Lomandroideae are a species-rich and economically important subfamily in the monocot order Asparagales, with a center of diversity in Australia. Lomandroideae are ecologically diverse, occupying mesic and arid biomes in Australia and possessing an array of key traits, including sexual dimorphism, storage organs and polyploidy that are potentially adaptive for survival in seasonally arid and fire-dependent habitats. The Lomandroideae phylogeny was reconstructed using maximum likelihood and Bayesian inference criteria, based on plastome data from genome-skimming to infer relationships.

Testing efficacy of distance and tree-based methods for DNA barcoding of grasses (Poaceae tribe Poeae) in Australia.

In Australia, Poaceae tribe Poeae are represented by 19 genera and 99 species, including economically and environmentally important native and introduced pasture grasses [e.g. Poa (Tussock-grasses) and Lolium (Ryegrasses)].

Corrigenda: A revision of infrageneric classification in Astelia Banks & Sol. ex R.Br. (Asteliaceae).

[This corrects the article DOI: 10.3897/phytokeys.52.

A revision of infrageneric classification in Astelia Banks & Sol. ex R.Br. (Asteliaceae).

Systematic investigations and phylogenetic analyses have indicated that Astelia, as currently circumscribed, is paraphyletic, with Collospermum nested within it. Further, AsteliasubgenusAstelia is polyphyletic, and Astelia subgenera Asteliopsis and Tricella are paraphyletic, as currently circumscribed. Revision of the subgeneric classification of Astelia is warranted to ensure classification accurately reflects the evolutionary history of these taxa.

Molecular phylogeny and dating of Asteliaceae (Asparagales): Astelia s.l. evolution provides insight into the Oligocene history of New Zealand.

Asteliaceae (4 genera, 36 species) are found on both continents and island archipelagos in the southern hemisphere and across the Pacific. The circumscription of Asteliaceae and intrageneric relationships are poorly understood. We generated a phylogeny including all genera and 99% of the species using DNA sequence data from chloroplast (trnL, psbA-trnH, rps16, and petL-psbE) and nuclear (NIA-i3) regions.