Morphometric analyses & DNA Barcoding of Acrididae (Orthoptera: Caelifera) using Cytochrome Oxidase Subunit I Gene

Journal of Applied Research in Plant Sciences Pub Date : 2023-01-01 DOI:10.38211/joarps.2023.04.01.53

Abdullah Babar, R. Sultana, Santosh Kumar

{"title":"Morphometric analyses & DNA Barcoding of Acrididae (Orthoptera: Caelifera) using Cytochrome Oxidase Subunit I Gene","authors":"Abdullah Babar, R. Sultana, Santosh Kumar","doi":"10.38211/joarps.2023.04.01.53","DOIUrl":null,"url":null,"abstract":"DNA barcode data of Acrididae is limited in global data bases from Sindh, Pakistan. Hence, the present study was aimed to collect some selected Acridid species from the Sindh and generate DNA barcode data to improve the global database sequencing. Specimens were collected from cultivated, sandy, rocky, vegetation, grassy, desert, semi desert, roadside and open area of the upper Sindh districts i.e., Dadu, Ghotki, Jacobabad, Kashmore, Khairpur Miras, Larkana, Naushahro Feroz, Qambar & Shahdadkot, Shikarpur, Sukkur. Seven species of Acrididae were under discussion i.e., (24%) followed by Acrida willemsei (19%), Truxalis eximia eximia (15%), Aiolopus thalassinus thalassinus (13%), Acrotylus longipes longipes (10%), Aiolopussimulatrix (10%) and Sphingonotus savignyi (09%) belong to 3 sub-families i.e., Acridinae, Oedipodinae and Oxyinae. Moreover, maximum number of specimens belonged to Oxyinae. The present study suggests the collection of multiple specimens from different geographical locations and the generation of more DNA barcode data would facilitate the actual diversity amongst this taxon.","PeriodicalId":197597,"journal":{"name":"Journal of Applied Research in Plant Sciences","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Research in Plant Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.38211/joarps.2023.04.01.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

DNA barcode data of Acrididae is limited in global data bases from Sindh, Pakistan. Hence, the present study was aimed to collect some selected Acridid species from the Sindh and generate DNA barcode data to improve the global database sequencing. Specimens were collected from cultivated, sandy, rocky, vegetation, grassy, desert, semi desert, roadside and open area of the upper Sindh districts i.e., Dadu, Ghotki, Jacobabad, Kashmore, Khairpur Miras, Larkana, Naushahro Feroz, Qambar & Shahdadkot, Shikarpur, Sukkur. Seven species of Acrididae were under discussion i.e., (24%) followed by Acrida willemsei (19%), Truxalis eximia eximia (15%), Aiolopus thalassinus thalassinus (13%), Acrotylus longipes longipes (10%), Aiolopussimulatrix (10%) and Sphingonotus savignyi (09%) belong to 3 sub-families i.e., Acridinae, Oedipodinae and Oxyinae. Moreover, maximum number of specimens belonged to Oxyinae. The present study suggests the collection of multiple specimens from different geographical locations and the generation of more DNA barcode data would facilitate the actual diversity amongst this taxon.

查看原文本刊更多论文

利用细胞色素氧化酶亚基I基因对蝗科(直翅目:蝗科)进行形态计量学分析及DNA条形码

Acrididae的DNA条形码数据在巴基斯坦信德省的全球数据库中是有限的。因此，本研究旨在从信德省收集一些精选的Acridid物种并生成DNA条形码数据，以提高全球数据库的测序水平。标本采集于信德省上各区(即Dadu、Ghotki、Jacobabad、Kashmore、Khairpur Miras、Larkana、Naushahro Feroz、Qambar & Shahdadkot、Shikarpur、Sukkur)的耕地、沙地、岩石、植被、草地、沙漠、半沙漠、路边和开阔地区。讨论的Acrididae有7种，分别为:family family family(24%)、family family family(19%)、family family family(15%)、family family(13%)、family family(10%)、family family(10%)、family family(10%)、family family(09%)。此外，最多的标本属于氧虫科。目前的研究表明，从不同的地理位置收集多个标本和产生更多的DNA条形码数据将有助于该分类单元之间的实际多样性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Applied Research in Plant Sciences

自引率

0.00%

发文量