Molecular markers for plant species identification and phylogenetics

In this review we summarized the information on application of molecular markers for plant species identification and phylogenetics: positive sides and limitations of main markers, representing sequencing data of taxonomically important chloroplast and nuclear DNA regions. Markers, based on polymorphism of PCR and restriction products, are also discussed as accessorial markers in phylogenetic studies.

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Can Electrochemical Sensors Be Used for Identification and Phylogenetic Studies in Lamiaceae?

Sensors ◽

10.3390/s21248216 ◽

2021 ◽

Vol 21 (24) ◽

pp. 8216

Author(s):

Da Wang ◽

Dongling Li ◽

Li Fu ◽

Yuhong Zheng ◽

Yonghua Gu ◽

...

Keyword(s):

Pattern Recognition ◽

Species Identification ◽

Plant Species ◽

Electrochemical Sensors ◽

Species Level ◽

Pattern Recognition Techniques ◽

Genus Level ◽

Plant Phylogeny ◽

Phylogenetic Studies ◽

Plant Species Identification

Electrochemical sensors have shown potential in recent years for plant species identification and phylogenetic studies. These works have been used to investigate the affinities of different species in many genera. However, the ability of electrochemical sensors to study relationships between different genera within a family has not been investigated. In this work, we selected 31 species in the Labiatae and 5 exotaxa as subjects to investigate the feasibility of electrochemical sensors at the genus level. The results show that electrochemical sensors are still very effective for the identification of these plants. Different pattern recognition techniques can make the identification more efficient. Also, the fingerprint profiles collected by the sensors can be used for phylogenetic studies of Labiatae. The phylogram divides all the species into five clusters, where the exotaxa are in one cluster. Species in the Labiatae are mainly distributed in four other clusters. Importantly, the different genera of species all showed close affinities, representing that electrochemical fingerprinting can well distinguish the affinities between the different genera. The results of this work demonstrate the great potential of electrochemical sensors in the study of plant phylogeny. Its application is not limited to the study at the species level, but can be extended to the genus level.

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Periodic wavelet descriptor of plant leaf and its application in botany

International Journal of Wavelets Multiresolution and Information Processing ◽

10.1142/s0219691315500435 ◽

2015 ◽

Vol 13 (06) ◽

pp. 1550043 ◽

Cited By ~ 3

Author(s):

Qing-Mao Zeng ◽

Tong-Lin Zhu ◽

Xue-Ying Zhuang ◽

Ming-Xuan Zheng

Keyword(s):

Species Identification ◽

Plant Species ◽

Shape Descriptor ◽

Plant Leaf ◽

Practical Applications ◽

Wide Range ◽

Periodic Wavelet ◽

Plant Species Identification ◽

Botanical Research ◽

Wavelet Descriptor

Leaf is one of the most important organs of plant. Leaf contour or outline, usually a closed curve, is a fundamental morphological feature of leaf in botanical research. In this paper, a novel shape descriptor based on periodic wavelet series and leaf contour is presented, which we name as Periodic Wavelet Descriptor (PWD). The PWD of a leaf actually expresses the leaf contour in a vector form. Consequently, the PWD of a leaf has a wide range in practical applications, such as leaf modeling, plant species identification and classification, etc. In this work, the plant species identification and the leaf contour reconstruction, as two practical applications, are discussed to elaborate how to employ the PWD of a plant leaf in botanical research.

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Plant Species Identification by Bi-channel Deep Convolutional Networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/1004/1/012015 ◽

2018 ◽

Vol 1004 ◽

pp. 012015

Author(s):

Guiqing He ◽

Zhaoqiang Xia ◽

Qiqi Zhang ◽

Haixi Zhang ◽

Jianping Fan

Keyword(s):

Species Identification ◽

Plant Species ◽

Convolutional Networks ◽

Plant Species Identification

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Towards Plant Species Identification in Complex Samples: A Bioinformatics Pipeline for the Identification of Novel Nuclear Barcode Candidates

PLoS ONE ◽

10.1371/journal.pone.0147692 ◽

2016 ◽

Vol 11 (1) ◽

pp. e0147692 ◽

Cited By ~ 5

Author(s):

Alexandre Angers-Loustau ◽

Mauro Petrillo ◽

Valentina Paracchini ◽

Dafni M. Kagkli ◽

Patricia E. Rischitor ◽

...

Keyword(s):

Species Identification ◽

Plant Species ◽

Bioinformatics Pipeline ◽

Complex Samples ◽

Plant Species Identification

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Mobile Vision for Plant Biometric System

Environmental and Agricultural Informatics ◽

10.4018/978-1-5225-9621-9.ch034 ◽

2020 ◽

pp. 773-791

Author(s):

Shitala Prasad

Keyword(s):

Ubiquitous Computing ◽

Species Identification ◽

Plant Species ◽

Expert Knowledge ◽

Biometric System ◽

Plant Identification ◽

Significant Growth ◽

Wide Range ◽

Plant Species Identification ◽

Research Analysis

In human's life plant plays an important part to balance the nature and supply food-&-medicine. The traditional manual plant species identification method is tedious and time-consuming process and requires expert knowledge. The rapid developments of mobile and ubiquitous computing make automated plant biometric system really feasible and accessible for anyone-anywhere-anytime. More and more research are ongoing to make it a more realistic tool for common man to access the agro-information by just a click. Based on this, the chapter highlights the significant growth of plant identification and leaf disease recognition over past few years. A wide range of research analysis is shown in this chapter in this context. Finally, the chapter showed the future scope and applications of AaaS and similar systems in agro-field.

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