Literature DB >> 34362980

Genotypic identification of Panicum spp. in New South Wales, Australia using DNA barcoding.

Yuchi Chen1,2,3, Xiaocheng Zhu2,4, Panayiotis Loukopoulos1,3, Leslie A Weston1,2, David E Albrecht5, Jane C Quinn6,7.   

Abstract

Australia has over 30 Panicum spp. (panic grass) including several non-native species that cause crop and pasture loss and hepatogenous photosensitisation in livestock. It is critical to correctly identify them at the species level to facilitate the development of appropriate management strategies for efficacious control of Panicum grasses in crops, fallows and pastures. Currently, identification of Panicum spp. relies on morphological examination of the reproductive structures, but this approach is only useful for flowering specimens and requires significant taxonomic expertise. To overcome this limitation, we used multi-locus DNA barcoding for the identification of ten selected Panicum spp. found in Australia. With the exception of P. buncei, other native Australian Panicum were genetically separated at the species level and distinguished from non-native species. One nuclear (ITS) and two chloroplast regions (matK and trnL intron-trnF) were identified with varying facility for DNA barcode separation of the Panicum species. Concatenation of sequences from ITS, matK and trnL intron-trnF regions provided clear separation of eight regionally collected species, with a maximum intraspecific distance of 0.22% and minimum interspecific distance of 0.33%. Two of three non-native Panicum species exhibited a smaller genome size compared to native species evaluated, and we speculate that this may be associated with biological advantages impacting invasion of non-native Panicum species in novel locations. We conclude that multi-locus DNA barcoding, in combination with traditional taxonomic identification, provides an accurate and cost-effective adjunctive tool for further distinguishing Panicum spp. at the species level.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34362980     DOI: 10.1038/s41598-021-95610-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  34 in total

1.  From barcodes to genomes: extending the concept of DNA barcoding.

Authors:  Eric Coissac; Peter M Hollingsworth; Sébastien Lavergne; Pierre Taberlet
Journal:  Mol Ecol       Date:  2016-03-14       Impact factor: 6.185

2.  Identification of a sapogenin glucuronide in the bile of sheep affected by Panicum dichotomiflorum toxicosis.

Authors:  C O Miles; S C Munday; P T Holland; B L Smith; P P Embling; A L Wilkins
Journal:  N Z Vet J       Date:  1991-12       Impact factor: 1.628

3.  Analysis of bile crystals from sheep grazing Panicum schinzii (sweet grass).

Authors:  M J Lancaster; I Vit; R L Lyford
Journal:  Aust Vet J       Date:  1991-08       Impact factor: 1.281

Review 4.  Whither microbiology? Phylogenetic trees.

Authors:  C R Woese
Journal:  Curr Biol       Date:  1996-09-01       Impact factor: 10.834

5.  Spatial patterns of plant diversity below-ground as revealed by DNA barcoding.

Authors:  Prasad R Kesanakurti; Aron J Fazekas; Kevin S Burgess; Diana M Percy; Steven G Newmaster; Sean W Graham; Spencer C H Barrett; Mehrdad Hajibabaei; Brian C Husband
Journal:  Mol Ecol       Date:  2011-01-22       Impact factor: 6.185

6.  A molecular phylogeny of Panicum (Poaceae: Paniceae): tests of monophyly and phylogenetic placement within the Panicoideae.

Authors:  Sandra S Aliscioni; Liliana M Giussani; Fernando O Zuloaga; Elizabeth A Kellogg
Journal:  Am J Bot       Date:  2003-05       Impact factor: 3.844

Review 7.  Secondary plant products causing photosensitization in grazing herbivores: their structure, activity and regulation.

Authors:  Jane C Quinn; Allan Kessell; Leslie A Weston
Journal:  Int J Mol Sci       Date:  2014-01-21       Impact factor: 5.923

8.  The aetiology, prevalence and morbidity of outbreaks of photosensitisation in livestock: A review.

Authors:  Yuchi Chen; Jane C Quinn; Leslie A Weston; Panayiotis Loukopoulos
Journal:  PLoS One       Date:  2019-02-27       Impact factor: 3.240

9.  How effective are DNA barcodes in the identification of African rainforest trees?

Authors:  Ingrid Parmentier; Jérôme Duminil; Maria Kuzmina; Morgane Philippe; Duncan W Thomas; David Kenfack; George B Chuyong; Corinne Cruaud; Olivier J Hardy
Journal:  PLoS One       Date:  2013-04-02       Impact factor: 3.240

10.  A DNA-based registry for all animal species: the barcode index number (BIN) system.

Authors:  Sujeevan Ratnasingham; Paul D N Hebert
Journal:  PLoS One       Date:  2013-07-08       Impact factor: 3.240

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