Literature DB >> 22869548

DNA barcoding of arid wild plants using rbcL gene sequences.

S O Bafeel1, I A Arif, M A Bakir, A A Al Homaidan, A H Al Farhan, H A Khan.   

Abstract

DNA barcoding is currently gaining popularity due to its simplicity and high accuracy as compared to the complexity and subjective biases associated with morphology-based identification of taxa. The standard chloroplast DNA barcode for land plants recommended by the Consortium for the Barcode of Life (CBOL) plant working group needs to be evaluated for a wide range of plant species. We therefore tested the potential of the rbcL marker for the identification of wild plants belonging to diverse families of arid regions. Maximum likelihood tree analysis was performed to evaluate the discriminatory power of the rbcL gene. Our findings showed that using rbcL gene sequences enabled identification of the majority of the samples (92%) to genus level and only 17% to species level.

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Year:  2012        PMID: 22869548     DOI: 10.4238/2012.July.19.12

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  14 in total

1.  Discriminatory power of rbcL barcode locus for authentication of some of United Arab Emirates (UAE) native plants.

Authors:  Lina Maloukh; Alagappan Kumarappan; Mohammad Jarrar; Jawad Salehi; Houssam El-Wakil; T V Rajya Lakshmi
Journal:  3 Biotech       Date:  2017-06-08       Impact factor: 2.406

2.  Diverse Host Plants of the First Instars of the Invasive Lycorma delicatula: Insights from eDNA Metabarcoding.

Authors:  Cameron McPherson; Alina Avanesyan; William O Lamp
Journal:  Insects       Date:  2022-06-10       Impact factor: 3.139

3.  Discrimination of grasshopper (Orthoptera: Acrididae) diet and niche overlap using next-generation sequencing of gut contents.

Authors:  Beverly McClenaghan; Joel F Gibson; Shadi Shokralla; Mehrdad Hajibabaei
Journal:  Ecol Evol       Date:  2015-07-07       Impact factor: 2.912

4.  Decision Tree Algorithm-Generated Single-Nucleotide Polymorphism Barcodes of rbcL Genes for 38 Brassicaceae Species Tagging.

Authors:  Cheng-Hong Yang; Kuo-Chuan Wu; Li-Yeh Chuang; Hsueh-Wei Chang
Journal:  Evol Bioinform Online       Date:  2018-03-05       Impact factor: 1.625

5.  Applying and refining DNA analysis to determine the identity of plant material extracted from the digestive tracts of katydids.

Authors:  Laurel B Symes; Nicole L Wershoven; Lars-Olaf Hoeger; Jessica S Ralston; Sharon J Martinson; Hannah M Ter Hofstede; Christine M Palmer
Journal:  PeerJ       Date:  2019-05-03       Impact factor: 2.984

Review 6.  The Promise of Molecular and Genomic Techniques for Biodiversity Research and DNA Barcoding of the Arabian Peninsula Flora.

Authors:  Kareem A Mosa; Sanjay Gairola; Rahul Jamdade; Ali El-Keblawy; Khawla Ibrahim Al Shaer; Eman Khalid Al Harthi; Hatem A Shabana; Tamer Mahmoud
Journal:  Front Plant Sci       Date:  2019-01-21       Impact factor: 5.753

7.  Evaluation of Arabian Vascular Plant Barcodes (rbcL and matK): Precision of Unsupervised and Supervised Learning Methods towards Accurate Identification.

Authors:  Rahul Jamdade; Maulik Upadhyay; Khawla Al Shaer; Eman Al Harthi; Mariam Al Sallani; Mariam Al Jasmi; Asma Al Ketbi
Journal:  Plants (Basel)       Date:  2021-12-13

8.  DNA barcoding ferns in an unexplored tropical montane cloud forest area of southeast Oaxaca, Mexico.

Authors:  Sonia Trujillo-Argueta; Rafael F Del Castillo; Daniel Tejero-Diez; Carlos Alberto Matias-Cervantes; Abril Velasco-Murguía
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

Review 9.  Saudi medicinal plants for the treatment of scorpion sting envenomation.

Authors:  Abdulrahman Al-Asmari; Rajamohamed Abbas Manthiri; Nasreddien Abdo; Fawzi Abdullah Al-Duaiji; Haseeb Ahmad Khan
Journal:  Saudi J Biol Sci       Date:  2016-10-20       Impact factor: 4.219

10.  Use of Molecular Gut Content Analysis to Decipher the Range of Food Plants of the Invasive Spotted Lanternfly, Lycorma delicatula.

Authors:  Alina Avanesyan; William O Lamp
Journal:  Insects       Date:  2020-04-01       Impact factor: 2.769

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