Analysis of rbcL (Ribulose-1,5-Biphosphate carboxylase) gene sequences of identified noxious weed species (Poaceae)

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Research Paper 01/10/2021
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Analysis of rbcL (Ribulose-1,5-Biphosphate carboxylase) gene sequences of identified noxious weed species (Poaceae)

Christian Joseph N. Ong, Mariane Lou C. Obligar, Thelma DC. Arrieta, Oliver R. Alaijos
J. Biodiv. & Environ. Sci. 19(4), 36-46, October 2021.
Copyright Statement: Copyright 2021; The Author(s).
License: CC BY-NC 4.0

Abstract

Noxious weed species usually ranks as a first or second problem in weed management, reduce farm productivity and increase weed control costs. Traditionally, identification of noxious grasses has generally relied on the morphological examination of grass floral material. Morphologically, about five species of grass weeds were identified and one species was identified only by genus level. These include Eleusine indica (L.) Gaertn., Echinochloa crus-galli (L.) P. Beauv., Echinochloa stagnina (Retz.) P. Beauv., Ischaemum rugosum Salisb. Var. distachyum (Cav.) Merr., Leptochloa chinensis (L.) Nees. and Echinochloa sp., respectively. DNA Barcoding may provide alternative means to identify noxious weed species. The utilization of genomic techniques depicted the rbcL gene in these plants, and have yielded a good amplification ranging from 500-850 base pairs (bp) in size. The BLASTN search results accumulated 95 – 98% maximum gene identity from the significant hits of specific species related from their rbcL gene sequences. The 9 rbcL gene sequences except Sample ID BS1 was input in MEGA X and were aligned and computed using Kimura- 2 Parameter (K2P) method. Single Nucleotide Polymorphisms (SNPs) variation analyses were used and identified 27 SNPs variant size among 9 rbcL gene sequences. Moreover, the 9 rbcL gene sequences were submitted and published to GenBank through BankIt, and have provided accession numbers. The molecular and phylogenetic relationships of rbcL gene in noxious weed species that were described and evaluated in this study may serve as baseline data for weed barcoding studies and enhancing weed management in rice cropping systems.

Bethesda. 2008. BLAST (Basic Local Alignment Search Tool) Command Line Applications User Manual. National Center for Biotechnology Information (US).

Burlace M. 2013. Understanding Weed Characteristics. https://farmref.com/understanding-weed-characteristics.html

Costion C, Ford A, Cross H, Crayn D, Harrington M., and Lowe A. 2011. Plant DNA Barcodes can Accurately Estimate Species Richness in Poorly Known Floras. PLoS ONE 6(11), E26841. DOI: 10.1371/journal.pone.0026841

Dekker J. 2011. Evolutionary Ecology Models of Weed Life History. Weed Biology Laboratory, Agronomy Department, Iowa State University.

Felsenstein J. 1985. Confidence limits on phylogenies: An approach using the bootsrap. Evolution 39, 783-791.

Fisheries QD. 2011. Special edition of Environmental Weeds of Australia for Biosecurity Queensland., Australia:. Univ http://keyserver. lucidcentral.org/weeds/data/03030800-0b07-490a-8d04-0605030c0f01/media/Html/Index.htm

[FAO] Food Agriculture Organization. 2014. Grassland Species profiles. http;//www.fao.org/ ag/AGP/AGPC/doc/Gbase/lDefault.html.

Hani M, Lebazda R, Fenni R. 2017. Studies of Morphological Characteristics and Production of Seeds Weeds of Species of Family Brassicaceae (Cruciferous) in Setifian High Plateau, Algeria. Annual Research & Review in Biology, DOI: 10.9734/ARRB/2017/33473.

Hartwig DD. 2013. Introduction to Weeds and Herbicides. The Pennsylvania State University.

Kumar SG, Lim KC. 2018. MEGA X: Molecular Evolutionary Genetics Analysis across computing platforms. Molecular Biology and Evolution 35, 1547-1549.

Krishnan N. 2018. The environmental impact of the world’s most famous weed killer. https://envirobites. org/2018/01/19/the-environmental-impact-of-the-worlds-most-famous-weed-killer/

Maloukh L, Kumarappan A, Jarrar M, Salehi J, El-Wakil H, Lakshmi TVR. 2017. Discriminatory Power of rbcL Barcode locus for Authentication of some of United Arab Emirates (UAE) Native Plants. 3 Biotech (2017) 7, 144. DOI: 10.1007/s13205-017-0746-1

Meiklejohn KA, Damaso N, Robertson JM. 2019. Assessment of BOLD and GenBank – Their accuracy and reliability for the identification of biological materials. PLoS ONE 14(6), e0217084.

Muhammad I, Aftab A, Muhammad N, Muhammad AJ, Sulta HK, Iqra K, Aftab AS, Qari S, Alghanem S, Khalid AK, Muhammad FK, Samina Q. 2020. Development of DNA barcodes for selected Acacia species by using rbcL and matK DNA markers. Saudi Journal of Biological Sciences. DOI: 10.1016/j.sjbs.2020.08.020

Naeem A, Khan AA, Cheema HMN, Khan IA, Buerker A. 2014. DNA barcoding for species identification in the Palmae family. Genetics and Molecular Research 13(4), 10341-10348 (2014). DOI: 10.4238/2014.December.4.29

Naidu VGSR. 2012. Hand Book on Weed Identification. Directorate of Weed Science Research, Jabalpur, India

Nurhasanah S, Nurmaya P. 2019. Amplification and Analysis of rbcL Gene (Ribulose-1,5-Biphosphate Carboxylase) of Clove in Ternate Island. IOP Conf. Series: Earth and Environmental Science 276 (2019) 012061. DOI:10.1088/1755-1315/276/1/012061

Randall RP. 2012. A global compendium of weeds. Dept. Agric. Food Western Australia, Saadullah Z. 2016. Identification of the grass family (Poaceae) by using the plant dna barcodes rbcL and matK . Journal of Biodiversity and Environmental Sciences (JBES) , Vol 8, No. 5, p. 175-186.

Smith RG, Ryan MR, Menalled FD. 2011. Direct and Indirect Impacts of Weed Management Practices on Soil Quality. Pages 275-286 in Hatfield JL, Sauer TJ, eds. Soil Management: Building Stable Base for Agriculture. American Society of Agronomy and Soil Science Society of America.

Su JK, Kwang SC, Ki OY, Ki BL, Yoon JH, Dong CC, Ki SK. 2017. Sequence Analysis of the Internal Transcribed Spacer (ITS) Region of the Nuclear Ribosomal DNA (nrDNA) Chrysanthemum Species in Korea. Horticulture, Environment, and Biotechnology 56(1), 44-53. 2015. DOI: 10.1007/ s13580-015-0085-2

[USDA-ARS] US Department of Agriculture- Agricultural Research Service. 2014. Germplasm Resource Information Network (GRIN) Online Database. Beltsville, Maryland, USA: National Germplasm Resources Laboratory. https://npgsweb. arsgrin.gov/gringlobal/taxon/taxonomysearch.aspx

[USDA-NRS] US Department of Agriculture-Natural Resource Service. 2019. Natural Resources Conservation Service. Online Database. http://plant.usda.gov/core/profile?symbol=LECH2

Walia US, Walia SS, Kler SS, Singh D. 2011. Science of Agronomy Scientific Publisher (India), pg. 61.

Wang A, David G, Wu H, Stanton R, Lepschi B. 2014. DNA Barcoding for Identification of Exotic grass species present in Eastern Australia. Pages 444-447 in Proceedings of the Nineteenth Australasian Weeds Conference.

Wattoo JI, Muhammad ZS, Muhammad SS, Amina A, Amir H, Mushtaq AS. 2016. DNA Barcoding: Amplification and sequence analysis of rbcl and matK genome regions in three divergent plant species. Advancements in Life Sciences. International Quarterly Journal of Biological Sciences 4(1), 03-07.

Yang CH, Wu KC, Dahms HU, Chuang LY, Chang HW. 2017. Single nucleotide polymorphism barcoding of Cytochrome C oxidase I sequences for discriminating 17 species of Columbidae by decision tree algorithm. Ecology and Evolution. 2017; 7, 4717-4725. DOI: 10.1002/ece3.3045

Yang CH, Wu KC, Chuang LY, Chang HW. 2018. Decision Tree Algorithm–Generated Single-Nucleotide Polymorphism Barcodes of rbcL Genes for 38 Brassicaceae Species Tagging. Evolutionary Bioinformatics Volume 14, 1-9.

Ye CY, Lin Z, Li G, Wang YY, Qiu J, Fu F. 2014. Echinochloa Chloroplast Genomes: Insights into the Evolution and Taxonomic Identification of Two Weedy Species. PLoS ONE 9 (11), e113657, DOI: 10.1371/journal.pone. 0113657.

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