Genetic Differentiation of the Giant Honey Bee (Apis dorsata) in Thailand Analyzed by Mitochondrial Genes and Microsatellites

Insuan, Sucheera; Deowanish, Sureerat; Klinbunga, Sirawut; Sittipraneed, Siriporn; Sylvester, H. Allen; Wongsiri, Siriwat

doi:10.1007/s10528-007-9079-9

Cited by 22 publications

(18 citation statements)

References 29 publications

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“…Studies using microsatellites have been mainly focused on their use as polymorphic markers in population genetics, genetic diversity, or kinship contexts (reviewed in Schlötterer and Pemberton 1998;Goldstein and Schlötterer 1999). This is particularly true in insects, where reports based on SSR molecular variation are abundant (Insuan et al 2007;Agustinos et al 2011;Blondin et al 2013;Manrique-Poyato et al 2013). In recent years, microsatellite genomic analysis has been powered by the development of high throughput next generation sequencing (NGS) technologies, based on massive sequencing approaches which enable a rapid, low-cost, and low time-consuming way to characterize microsatellites (Malausa et al 2011;Iquebal et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Next generation sequencing and FISH reveal uneven and nonrandom microsatellite distribution in two grasshopper genomes

et al. 2014

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Simple sequence repeats (SSRs), also known as microsatellites, are one of the prominent DNA sequences shaping the repeated fraction of eukaryotic genomes. In spite of their profuse use as molecular markers for a variety of genetic and evolutionary studies, their genomic location, distribution, and function are not yet well understood. Here we report the first thorough joint analysis of microsatellite motifs at both genomic and chromosomal levels in animal species, by a combination of 454 sequencing and fluorescent in situ hybridization (FISH) techniques performed on two grasshopper species. The in silico analysis of the 454 reads suggested that microsatellite expansion is not driving size increase of these genomes, as SSR abundance was higher in the species showing the smallest genome. However, the two species showed the same uneven and nonrandom location of SSRs, with clear predominance of dinucleotide motifs and association with several types of repetitive elements, mostly histone gene spacers, ribosomal DNA intergenic spacers (IGS), and transposable elements (TEs). The FISH analysis showed a dispersed chromosome distribution of microsatellite motifs in euchromatic regions, in coincidence with chromosome location patterns previously observed for many mobile elements in these species. However, some SSR motifs were clustered, especially those located in the histone gene cluster.

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Section: Introductionmentioning

confidence: 99%

Next generation sequencing and FISH reveal uneven and nonrandom microsatellite distribution in two grasshopper genomes

et al. 2014

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“…Population structure in the Western honey bee (Apis mellifera L.) has been largely determined by apicultural practices and human transport (Delaney et al, 2009;Whitfield et al, 2006), except for remaining native honey bee populations in Africa and Europe (El-Niweiri and Moritz, 2010;Ruttner, 1988). In contrast, other Apis species are not cultured and bred by humans to the same extent and are expected to reveal a more natural population structure (Insuan et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Population structure of Apis cerana in Thailand reflects biogeography and current gene flow rather than Varroa mite association

et al. 2011

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Concordance between the mitochondrial haplotypes of the Eastern honey bee, Apis cerana, and its ectoparasitic Varroa mites across the Isthmus of Kra in Thailand has suggested that local host-pathogen co-evolution may be responsible for the geographic distribution of particular genotypes. To investigate nuclear microsatellites population structure in A. cerana, single workers of A. cerana colonies from Thailand were genotyped at 18 microsatellite loci. The loci showed intermediate to high levels of heterozygosity and a range of allele numbers. The analyses confirmed a fundamental subdivision of the Thai A. cerana population into the "Asia Mainland" and "Sundaland" regions at the Isthmus of Kra. However, the nuclear microsatellite differentiation was less distinct than mtDNA haplotype differences, suggesting male-biased dispersal and population admixture. Overall, samples showed a weak isolation-by-distance effect. The isolated population on Samui island was most differentiated from the other samples. The results do not support our initial hypothesis of local host-pathogen co-evolution, which predicts a strict correspondence between the nuclear genome and the lineage of parasitic Varroa mite of the A. cerana samples, because the gene flow indicated by our nuclear microsatellite markers should also mix potential Varroa resistance alleles among subpopulations. Instead, our study suggests that the coincidental distribution of Varroa lineages and A. cerana population structure in Thailand are the result of biogeographic history and current migration patterns Keywords: biogeography | co-evolution | local adaptation | microsatellites | population structure | apis cerana | honey bees | Thailand | Varroa mite association | social insects | biology Article:

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“…These authors attributed these findings to intense beekeeping activity. In contrast in A. dorsata (Insuan et al, 2007) and in A. cerana (Sihanuntavong et al, 1999) high genetic differentiation was found among populations, probably because of the short-range migration behavior in these bees. In Bombus ignitius, the migration distance is indicated by Shao et al (2004) to be the main factor that drives genetic variation within and among populations.…”

Section: Resultsmentioning

confidence: 75%

“…Estoup et al (1993) found Ho = 0.69 in Apis mellifera, De la Rúa et al (2004) observed an average Ho of 0.45 for Apis mellifera iberica in Spain. Insuan et al (2007) found an index of Ho = 0.71 in Apis dorsata in Thailand. It is known that Apis queens can be fertilized by 15 to 17 males (Adams et al, 1977;Lobo and Kerr, 1993).…”

Section: Resultsmentioning

confidence: 97%

Does beekeeping reduce genetic variability in Melipona scutellaris (Apidae, Meliponini)?

Carvalho‐Zilse¹,

Costa-Pinto²,

Nunes-Silva³

et al. 2009

Genet. Mol. Res.

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AbStrACt. Many factors have contributed to reductions in wild populations of stingless bees, such as: deforestation, displacement and destruction of nests by honey gatherers, as well as use of insecticides and other agrochemicals. All of these can potentially affect the populational structure of native species. We analyzed genetic variability and populational structure of Melipona scutellaris, based on five microsatellite loci, using heterologous primers of M. bicolor. Samples were taken from 43 meliponaries distributed among 30 sites of four northeastern States of Brazil (Pernambuco, Alagoas, Sergipe, and Bahia). Thirty-one alleles were found to be well distributed among the populations, with sizes ranging from 85 to 146 bp. In general, there was a variable distribution and frequency of alleles among populations, with either exclusive and/or fixed alleles at some sites. The population of Pernambuco was the most polymorphic, followed by Bahia, Alagoas and Sergipe. The heterozygosity was Ho = 0.36 on average, much lower than what has been reported for M. bicolor (Ho = 0.65). Most populations were not under Hardy-Weinberg equilibrium. We found a higher variation within rather than among populations, indicating no genetic structuring in those bees maintained in meliponaries. This apparent homogenization may be due to intense beekeeping activity, including exchange of genetic material among beekeepers. Based on our findings, we recommend more studies of meliponaries and of wild populations in order to help orient management and conservation of these native pollinators.

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Genetic Differentiation of the Giant Honey Bee (Apis dorsata) in Thailand Analyzed by Mitochondrial Genes and Microsatellites

Cited by 22 publications

References 29 publications

Next generation sequencing and FISH reveal uneven and nonrandom microsatellite distribution in two grasshopper genomes

Next generation sequencing and FISH reveal uneven and nonrandom microsatellite distribution in two grasshopper genomes

Population structure of Apis cerana in Thailand reflects biogeography and current gene flow rather than Varroa mite association

Does beekeeping reduce genetic variability in Melipona scutellaris (Apidae, Meliponini)?

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