{"title":"肯尼亚毛乌森林群中竹节虫幼虫的遗传多样性","authors":"Jackson Bwalya, Calleb Olweny, Donald Chungu","doi":"10.37284/eajfa.6.1.1589","DOIUrl":null,"url":null,"abstract":"Bamboo borer larvae have caused major losses of bamboo cover in natural forests and plantations. Lack of information on the fauna of bamboo trees has been cited as the contributing factor to poor management of bamboo stands. Genetic diversity information helps understand the effects of different fauna in guiding management plans. Genetic diversity information has recently become an important tool in conservation science. This paper aimed to determine the genetic diversity of the bamboo borer larvae in the Mau Forest complex in order to generate information that could guide the management and conservation of bamboo trees (Yushinia Alpina) in the Mau Forest Complex. The mitochondrial C oxidase Subunit 1 (COI) of 12 isolates was sequenced and analyzed. A similarity search of the bamboo borer larvae was carried out using the National Center for Biotechnology Information (NCBI) BLAST search to identify the larvae species. The genetic diversity and genetic pairwise distances were determined, and Tajimas D and Nei’s FU Fs statistics were calculated to estimate the population expansion that has occurred. The results showed genetic diversity (haplotype diversity 0.956) in the bamboo borer larvae population of the Mau Forest Complex. The nucleotide diversity (0.283) was found to be low. The similarity search showed that the bamboo borer larvae of Yushinia alpina belonged to four (4) species of noctuid larvae (Lepidoptera). The identity matches to the similar species scored an average of 94%. The Tajimas D (0.374) and FUs Fs (5.547) collectively indicated no rare excess mutations in the population. The results reveal high genetic diversity, which is key in the management of forest species","PeriodicalId":373486,"journal":{"name":"East African Journal of Forestry and Agroforestry","volume":"50 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic Diversity of Bamboo (Yushinia alpina) Borer Larvae in the Mau Forest Complex, Kenya\",\"authors\":\"Jackson Bwalya, Calleb Olweny, Donald Chungu\",\"doi\":\"10.37284/eajfa.6.1.1589\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bamboo borer larvae have caused major losses of bamboo cover in natural forests and plantations. Lack of information on the fauna of bamboo trees has been cited as the contributing factor to poor management of bamboo stands. Genetic diversity information helps understand the effects of different fauna in guiding management plans. Genetic diversity information has recently become an important tool in conservation science. This paper aimed to determine the genetic diversity of the bamboo borer larvae in the Mau Forest complex in order to generate information that could guide the management and conservation of bamboo trees (Yushinia Alpina) in the Mau Forest Complex. The mitochondrial C oxidase Subunit 1 (COI) of 12 isolates was sequenced and analyzed. A similarity search of the bamboo borer larvae was carried out using the National Center for Biotechnology Information (NCBI) BLAST search to identify the larvae species. The genetic diversity and genetic pairwise distances were determined, and Tajimas D and Nei’s FU Fs statistics were calculated to estimate the population expansion that has occurred. The results showed genetic diversity (haplotype diversity 0.956) in the bamboo borer larvae population of the Mau Forest Complex. The nucleotide diversity (0.283) was found to be low. The similarity search showed that the bamboo borer larvae of Yushinia alpina belonged to four (4) species of noctuid larvae (Lepidoptera). The identity matches to the similar species scored an average of 94%. The Tajimas D (0.374) and FUs Fs (5.547) collectively indicated no rare excess mutations in the population. 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引用次数: 0
摘要
竹螟幼虫已造成天然林和人工林中竹子植被的重大损失。竹林动物信息的缺乏被认为是竹林管理不善的原因之一。遗传多样性信息有助于了解不同动物群对指导管理计划的影响。遗传多样性信息最近已成为保护科学的重要工具。本文旨在确定茂林复合区竹节虫幼虫的遗传多样性,以产生可指导茂林复合区竹林(Yushinia Alpina)管理和保护的信息。对 12 个分离株的线粒体 C 氧化酶亚基 1(COI)进行了测序和分析。利用美国国家生物技术信息中心(NCBI)的 BLAST 搜索对竹节虫幼虫进行了相似性搜索,以确定幼虫种类。测定了遗传多样性和遗传配对距离,并计算了Tajimas D和Nei's FU Fs统计量,以估计已发生的种群扩张。结果表明,茂林区竹节虫幼虫种群具有遗传多样性(单体型多样性为 0.956)。核苷酸多样性(0.283)较低。相似性搜索结果显示,高山矢车菊竹螟幼虫属于四(4)种夜蛾幼虫(鳞翅目)。与相似物种的识别匹配度平均为 94%。Tajimas D(0.374)和 FUs Fs(5.547)共同表明种群中没有罕见的过度突变。结果显示遗传多样性很高,这对森林物种的管理至关重要
Genetic Diversity of Bamboo (Yushinia alpina) Borer Larvae in the Mau Forest Complex, Kenya
Bamboo borer larvae have caused major losses of bamboo cover in natural forests and plantations. Lack of information on the fauna of bamboo trees has been cited as the contributing factor to poor management of bamboo stands. Genetic diversity information helps understand the effects of different fauna in guiding management plans. Genetic diversity information has recently become an important tool in conservation science. This paper aimed to determine the genetic diversity of the bamboo borer larvae in the Mau Forest complex in order to generate information that could guide the management and conservation of bamboo trees (Yushinia Alpina) in the Mau Forest Complex. The mitochondrial C oxidase Subunit 1 (COI) of 12 isolates was sequenced and analyzed. A similarity search of the bamboo borer larvae was carried out using the National Center for Biotechnology Information (NCBI) BLAST search to identify the larvae species. The genetic diversity and genetic pairwise distances were determined, and Tajimas D and Nei’s FU Fs statistics were calculated to estimate the population expansion that has occurred. The results showed genetic diversity (haplotype diversity 0.956) in the bamboo borer larvae population of the Mau Forest Complex. The nucleotide diversity (0.283) was found to be low. The similarity search showed that the bamboo borer larvae of Yushinia alpina belonged to four (4) species of noctuid larvae (Lepidoptera). The identity matches to the similar species scored an average of 94%. The Tajimas D (0.374) and FUs Fs (5.547) collectively indicated no rare excess mutations in the population. The results reveal high genetic diversity, which is key in the management of forest species