2018
DOI: 10.1139/gen-2017-0115
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Molecular identification of species of Physalis (Solanaceae) using a candidate DNA barcode: the chloroplast psbAtrnH intergenic region

Abstract: Physalis L., an important genus of the family Solanaceae, includes many commercially important edible and medicinal species. Traditionally, species identification is based on morphological traits; however, the highly similar morphological traits among species of Physalis make this approach difficult. In this study, we evaluated the feasibility of using a popular DNA barcode, the chloroplast psbA-trnH intergenic region, in the identification of species of Physalis. Thirty-six psbA-trnH regions of species of Phy… Show more

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Cited by 21 publications
(16 citation statements)
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References 30 publications
(46 reference statements)
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“…Specimens of Physalis are difficult to identify to species morphologically. A recent study shows that the chloroplast barcode psbA-trnH was able to identify species of this genus (Feng et al, 2018). In our study, the DNA barcode that showed higher variability within Physalis was psbA-trnH, and when concatenated barcodes were used better discrimination was obtained ( Fig.…”
Section: Discussionsupporting
confidence: 57%
“…Specimens of Physalis are difficult to identify to species morphologically. A recent study shows that the chloroplast barcode psbA-trnH was able to identify species of this genus (Feng et al, 2018). In our study, the DNA barcode that showed higher variability within Physalis was psbA-trnH, and when concatenated barcodes were used better discrimination was obtained ( Fig.…”
Section: Discussionsupporting
confidence: 57%
“…The genus Physalis of family Solanaceae is among the largest genera in subfamily Solanoideae, with about 100 species, although the estimation of the species within the genus varies considerablyfrom 75 to 120 (Martínez 1998;Feng et al 2018). The genus is generally recognized by the inflated balloon or lantern-like calyx (husk, fruit basket), which completely envelopes the berry, protecting it against insects, birds, diseases and adverse climatic conditions (Puente et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Bitter); by fruit and seed morphology (berries have either juicy or rather dry pericarp, the colour of ripe berries varying from green to yellow to orange or purple; seed colour varying from light yellow to brown, and seed sizefrom 0.6 to 3.0 mm) (Kindscher et al 2012;Martínez 1998;Puente et al 2011;Sharma et al 2015). On the other hand, several Physalis species have highly similar morphological traits and misidentification in the genus is common, as in the case of P. minima L., which is confused with P. angulata L. or P. pubescens L. in traditional Chinese medicine preparations, or P. angulata being confused with P. peruviana L. (Feng et al 2018). Moreover, many of the common names used in different regions of the world may be applied to more than one Physalis species, for example "goldenberry", "gooseberry", "tomatillo", "Chinese or Japanese lantern" or the French "amour en cage" (love-in-a-cage).…”
Section: Introductionmentioning
confidence: 99%
“…Several DNA barcode regions, such as internal transcriber spacers ( ITS1 and ITS2 ) and plastidial genes psbA‐trnH , trnL‐F , matK , and rbcL , have become the most promising loci in plant differentiation . The psbA‐trnH sequence has a faster evolution rate and higher species‐identification efficiency, and it is becoming a commonly used and reliable chloroplast barcode gene in the study of plant molecular phylogeny . The use of DNA barcodes with psbA‐trnH primers and high‐resolution melting (HRM) analysis is a cost‐effective approach for the identification of Uvaria sp.…”
Section: Introductionmentioning
confidence: 99%
“…21 The psbA-trnH sequence has a faster evolution rate and higher species-identification efficiency, and it is becoming a commonly used and reliable chloroplast barcode gene in the study of plant molecular phylogeny. 22 The use of DNA barcodes with psbA-trnH primers and high-resolution melting (HRM) analysis is a costeffective approach for the identification of Uvaria sp. and Chinese medicine species.…”
Section: Introductionmentioning
confidence: 99%