Achmad Dimas Cahyaning Furqon, Leah W Roberts, Michael B Hall
{"title":"Efficient downsampling of genome alignments with Rasusa.","authors":"Achmad Dimas Cahyaning Furqon, Leah W Roberts, Michael B Hall","doi":"10.46471/gigabyte.180","DOIUrl":"https://doi.org/10.46471/gigabyte.180","url":null,"abstract":"<p><p>High-throughput sequencing datasets frequently exhibit extreme read depth variation, biasing downstream analysis. Normalising coverage to a specific depth cap is important, yet existing tools rely on computationally expensive fetch-based or non-deterministic greedy algorithms. Here, we present a new coordinate-sorted sweep-line algorithm implemented in the open-source software rasusa that enforces a strict coverage cap at every genomic position. By utilising seeded random priority assignment, we achieve unbiased, reproducible read selection. The algorithm reduces runtimes by over 1,400-fold compared to legacy fetch-based methods-slashing processing from hours to mere seconds-and operates roughly four times faster than VariantBam. Furthermore, it requires only 8 MB of memory for long-read data. This provides a highly efficient, scalable, and reproducible solution for sequencing coverage normalisation.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte180"},"PeriodicalIF":1.2,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13141811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147846852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nattawet Sriwichai, Lucas Feriau, Pumipat Tongyoo, Yukiko Noda, Hikaru Gyoji, Pitiporn Noisagul, Susumu Goto, David Steinberg, Chatarin Wangsanuwat
{"title":"AI in practice: a multilingual survey of 2025 BioHackathon participants.","authors":"Nattawet Sriwichai, Lucas Feriau, Pumipat Tongyoo, Yukiko Noda, Hikaru Gyoji, Pitiporn Noisagul, Susumu Goto, David Steinberg, Chatarin Wangsanuwat","doi":"10.46471/gigabyte.179","DOIUrl":"https://doi.org/10.46471/gigabyte.179","url":null,"abstract":"<p><p>This dataset arises from a multilingual survey of AI use among participants and community members in the DBCLS BioHackathon 2025 in Japan. The questionnaire, offered in English, Japanese, and Thai, asked about how often respondents use AI tools, what they use them for, obstacles they encounter, institutional support, satisfaction, and concerns. Additional items captured role, institution type, work country, and other demographics, totaling 105 responses. The dataset includes both raw anonymized responses and a cleaned, standardized English-only version suitable for quantitative analysis, along with the full questionnaire, a data dictionary for cleaned dataset, and a translation lookup table. Free-text answers were screened and redacted to remove URLs, names, and other potentially identifiable information. Together, these materials provide a community-level view of AI practice in genomics, bioinformatics, software development, and related areas, and can support work on AI adoption, policy, and methods for analyzing survey data on AI use in science.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte179"},"PeriodicalIF":1.2,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13077790/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147694056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anisa Abdulai, Christopher Mfum Owusu-Asenso, Abdul Rahim Mohammed Sabtiu, Isaac Kwame Sraku, Yaw Akuamoah-Boateng, Abena Ahema Ebuako, Lourees Esi Awotwe, Richard Tettey Doe, Emmanuel Nana Boadu, Akua Aboagyewaa Appiah, Grace Arhin Danquah, Dhikrullahi Bunkunmi Shittu, Gabriel Akosah-Brempong, Cosmos Manwovor-Anbon Pambit Zong, Daniel Kodjo Halou, Osei Kwaku Akuoko, Akua Obeng Forson, Yaw Asare Afrane
{"title":"Spatial temporal distribution of <i>Anopheles</i> mosquitoes in different ecological zones of Ghana.","authors":"Anisa Abdulai, Christopher Mfum Owusu-Asenso, Abdul Rahim Mohammed Sabtiu, Isaac Kwame Sraku, Yaw Akuamoah-Boateng, Abena Ahema Ebuako, Lourees Esi Awotwe, Richard Tettey Doe, Emmanuel Nana Boadu, Akua Aboagyewaa Appiah, Grace Arhin Danquah, Dhikrullahi Bunkunmi Shittu, Gabriel Akosah-Brempong, Cosmos Manwovor-Anbon Pambit Zong, Daniel Kodjo Halou, Osei Kwaku Akuoko, Akua Obeng Forson, Yaw Asare Afrane","doi":"10.46471/gigabyte.175","DOIUrl":"https://doi.org/10.46471/gigabyte.175","url":null,"abstract":"<p><p>Vector control is a cornerstone for malaria management in Sub-Saharan Africa. Understanding the distribution dynamics and ecology of major malaria vectors is important for strengthening the current control efforts of national malaria control programmes. This project monitored the spatiotemporal distribution of <i>Anopheles</i> mosquitoes across different ecological zones of Ghana from 2017 to 2025. <i>Anopheles</i> mosquitoes were sampled from twelve sites across the three ecological zones of Ghana (Coastal, Forest and Sahel Savannah zones) using human landing catches and Prokopack aspirators. Mosquitoes were subjected to morphological and molecular species identification. Sporozoite infection rates and blood meal sources of collected blood fed female mosquitoes were both assessed using PCR. A total of 47,771 Anopheline mosquitoes (<i>An. gambiae</i> s.l, <i>An. funestus</i>, <i>An. pharoensis</i> and <i>An. rufipes</i>) were collected across the three ecological zones. <i>Anopheles gambiae</i> s.l, and particularly <i>An. coluzzii</i> and <i>An. gambiae</i> s.s were the predominant species across the study sites and ecological zones. Sporozoite infections were higher in the forest and sahel zones compared to the coastal zone, and the overall human blood index was 40.46%. Our findings provide relevant data for improving current vector control for malaria in Ghana.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte175"},"PeriodicalIF":1.2,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13058445/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147647628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdul Rahim Mohammed Sabtiu, Yaw Akuamoah-Boateng, Christopher Mfum Owusu-Asenso, Anisa Abdulai, Isaac Kwame Sraku, Daniel Kodjo Halou, Richard Tettey Doe, Emmanuel Nana Boadu, Sebastian Kow Egyin Mensah, Judith Dzifa Azumah, Sarkodie Adu-Barima, Lourees Esi Awotwe, Alberta Walker, Stephina Adjoa Yanney, Abena Ahema Ebuako, Nana Aba Sertorwu Eyeson, Akua Aboagyewaa Appiah, Bright Churchill Obeng, Godfred Amoateng, Grace Arhin Danquah, Nutifafa Efui Abusah, Edwin Edem Agbotah, Ruth Owusu Kwarteng, Jemima Boateng, Isaac Amankona Hinne, Cornelia Appiah-Kwarteng, Akua Oben Forson, Fred Aboagye-Antwi, Yaw Asare Afrane
{"title":"Urban malaria vector dynamics in Accra, Ghana.","authors":"Abdul Rahim Mohammed Sabtiu, Yaw Akuamoah-Boateng, Christopher Mfum Owusu-Asenso, Anisa Abdulai, Isaac Kwame Sraku, Daniel Kodjo Halou, Richard Tettey Doe, Emmanuel Nana Boadu, Sebastian Kow Egyin Mensah, Judith Dzifa Azumah, Sarkodie Adu-Barima, Lourees Esi Awotwe, Alberta Walker, Stephina Adjoa Yanney, Abena Ahema Ebuako, Nana Aba Sertorwu Eyeson, Akua Aboagyewaa Appiah, Bright Churchill Obeng, Godfred Amoateng, Grace Arhin Danquah, Nutifafa Efui Abusah, Edwin Edem Agbotah, Ruth Owusu Kwarteng, Jemima Boateng, Isaac Amankona Hinne, Cornelia Appiah-Kwarteng, Akua Oben Forson, Fred Aboagye-Antwi, Yaw Asare Afrane","doi":"10.46471/gigabyte.177","DOIUrl":"https://doi.org/10.46471/gigabyte.177","url":null,"abstract":"<p><p>Urban malaria is an emerging challenge in sub-Saharan Africa, driven by unplanned urbanization, irrigation, and vector adaptation; yet data on urban vectors, their diversity and malaria transmission potential are limited. We assessed <i>Anopheles gamb</i>iae s.l. abundance, species composition, and behavior in Accra, Ghana, during dry and rainy seasons of 2022 to 2024 across fifteen sites representing different socioeconomic settings. A total of 20,945 host-seeking and 1,613 resting <i>Anopheles</i> mosquitoes were collected. Abundance was highest in irrigation and peri-urban sites, and lowest in low socioeconomic areas. <i>An. gambiae s.s</i>. dominated host-seeking populations, while <i>An. coluzzii</i> dominated resting ones. Findings highlight irrigation and peri-urban areas as hotspots, requiring targeted surveillance and control.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte177"},"PeriodicalIF":1.2,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13044415/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147624913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bárbara Acosta-Iborra, Yosra Berrouayel, Laura Puente-Santamaría, Luis Del Peso, Benilde Jiménez
{"title":"Transcriptomic profile of embryoid bodies under hypoxia at single cell level.","authors":"Bárbara Acosta-Iborra, Yosra Berrouayel, Laura Puente-Santamaría, Luis Del Peso, Benilde Jiménez","doi":"10.46471/gigabyte.178","DOIUrl":"https://doi.org/10.46471/gigabyte.178","url":null,"abstract":"<p><p>Oxygen availability is a key regulator of cellular physiology and hypoxia plays a central role driving vasculogenesis and angiogenesis during development. Although bulk transcriptomics has revealed important oxygen-regulated gene networks, such approaches cannot resolve the cellular heterogeneity and lineage dynamics characteristic of early differentiation. To address this, we generated a single-cell transcriptomic dataset from murine embryoid bodies, a widely used <i>in vitro</i> model of early embryonic development, cultured 8 or 10 days under hypoxic (1% O<sub>2</sub>) or normoxic (21% O<sub>2</sub>) conditions for the final 16 or 48 hours of differentiation. This resource enables detailed exploration of how oxygen availability influences lineage specification, vascular and hematopoietic development, and cellular heterogeneity during early differentiation. Beyond developmental biology, the dataset provides a valuable reference for comparative studies of hypoxia responses, benchmarking of single-cell analysis methods, and integrative investigations into oxygen signaling across diverse biological systems.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte178"},"PeriodicalIF":1.2,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13044416/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147624910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anna Fiesinger, Abdoallah Sharaf, Rachel Alderdice, Gabriela Perna, Hannah Manns, John A Burt, Christian R Voolstra
{"title":"The genome of the reef-building coral <i>Porites harrisoni</i> from the southern Persian/Arabian Gulf.","authors":"Anna Fiesinger, Abdoallah Sharaf, Rachel Alderdice, Gabriela Perna, Hannah Manns, John A Burt, Christian R Voolstra","doi":"10.46471/gigabyte.174","DOIUrl":"https://doi.org/10.46471/gigabyte.174","url":null,"abstract":"<p><p>We present a genome assembly from the coral species <i>Porites harrisoni</i> from the southern Persian/Arabian Gulf, the hottest ocean basin where corals live. The assembly is 626.7 Mb in size, spanning 1,883 contigs with a contig N50 of 807.4 kb, including a single-contig mitochondrial genome. The assembly has a BUSCO completeness of 86.3% (single = 72.5%, duplicated = 13.7%, fragmented = 1.2%, missing = 12.5%). Within the nuclear genome, 59.23% are repeats (15.89% retroelements, 10.00% DNA transposons, and 31.71% unclassified repeats). Gene annotation of the nuclear genome assembly identified 27,823 protein-coding genes. The mitogenome is 18,639 bp long, with 13 protein-coding genes, 2 tRNAs, and 2 rRNAs. The <i>P. harrisoni</i> genome is a valuable resource of a coral from an extreme environment, enhancing understanding of the genomic architecture underlying thermal resilience. Comparative analyses will help elucidate the evolutionary basis of heat tolerance and the adaptive capacity of coral to rapid climate change.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte174"},"PeriodicalIF":1.2,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13040556/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147610841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"First draft genome of the decaploid species, <i>Ludwigia grandiflora</i> subsp. <i>hexapetala</i>, validated through gene expression.","authors":"Guillaume Doré, Dominique Barloy, Frédérique Barloy-Hubler","doi":"10.46471/gigabyte.176","DOIUrl":"10.46471/gigabyte.176","url":null,"abstract":"<p><p>Invasive species are one of the biggest drivers of species extinction. <i>Ludwigia grandiflora</i> subsp. <i>hexapetala</i> (<i>Lgh</i>) is widely invasive in aquatic ecosystems of Europe, North America, and Japan, and also colonizes emergent freshwater soils, but limited genomic data constrain studies of its invasiveness. Here, we report a draft genome assembly of <i>Lgh</i>, with a total length of 1.487 Gb, in agreement with the genome size estimated by flow cytometry, despite high fragmentation (111,219 contigs; N50 = 13.5 kb) and low sequencing depth (6.5× Illumina, 1.6× Nanopore). In addition, an analysis combining homology and expression data identified 139,095 protein-coding genes. Moreover, several indicators suggest that the observed fragmentation is largely attributable to unassembled repetitive regions. Thus, despite these limitations, this assembly represents the first genome in the Ludwigioideae subfamily and constitutes a valuable resource for gene discovery, functional genomics, phylogenetic reconstruction, and evolutionary analyses across the Onagraceae family.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte176"},"PeriodicalIF":1.2,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13022508/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147576570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inference of admixture in dogs from whole genome sequences.","authors":"Gregory Kislik, Garrett Moore, Liudmilla Rubbi, Veninka Nikki Supara, Grace Chen, Matteo Pellegrini","doi":"10.46471/gigabyte.173","DOIUrl":"10.46471/gigabyte.173","url":null,"abstract":"<p><strong>Background: </strong>Understanding the genetic architecture of domestic dogs provides unique insights into the processes of domestication, breed formation, and the genetic basis of complex traits and diseases. Dog populations, characterized by their diverse morphologies and behaviors, also exhibit extensive evidence of historical and ongoing admixture. This widespread mixing, driven by both natural migration and selective breeding practices, has profoundly shaped the genomic landscape of modern dog breeds. Though global admixture has been extensively estimated in human population studies, where the number of subgroups is typically limited, there has been more limited analysis in canines, where there may be dozens of ancestral groups, or breeds.</p><p><strong>Results: </strong>Here we present a procedure for estimating global admixture in dogs from whole genome sequence data using SCOPE. We created a reference population of 65 dog breeds that included 349 individuals, from which we determined breed-informative SNPs. We demonstrate that SCOPE can accurately infer breed composition in both simulated and real admixed samples, even at low sequencing depths. We also characterized the genetic similarity between our reference dog breeds and recovered previously reported relationships.</p><p><strong>Conclusion: </strong>This approach allows us to identify the strength of the genetic signature of breeds and place error bounds on admixture estimates. It also provides evidence that admixture can be accurately inferred in subjects that may originate from multiple ancestral populations.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte173"},"PeriodicalIF":1.2,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13022507/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147576767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher Mfum Owusu-Asenso, Anisa Abdulai, Isaac Kwame Sraku, Yasmeen Amandi Acquah, Stephina Adjoa Yanney, Miriam DedeAma Dortey, Yaw Akuamoah-Boateng, Abdul Rahim Mohammed Sabtiu, Judith Dzifa Azumah, Abena Ahema Ebuako, Nutifafa Efui Abusa, Nana Kwame Baako, Christabel Asabea Koranteng, Ruth Owusu Kwarteng, Grace Arhin Danquah, Godfred Amoateng, Bright Churchill Obeng, Akua Obeng Forson, Cornelia Appiah-Kwarteng, Simon Kwaku Attah, Yaw Asare Afrane
{"title":"Insecticide resistance dynamics in <i>Anopheles gambiae</i> s.l. in Ghana.","authors":"Christopher Mfum Owusu-Asenso, Anisa Abdulai, Isaac Kwame Sraku, Yasmeen Amandi Acquah, Stephina Adjoa Yanney, Miriam DedeAma Dortey, Yaw Akuamoah-Boateng, Abdul Rahim Mohammed Sabtiu, Judith Dzifa Azumah, Abena Ahema Ebuako, Nutifafa Efui Abusa, Nana Kwame Baako, Christabel Asabea Koranteng, Ruth Owusu Kwarteng, Grace Arhin Danquah, Godfred Amoateng, Bright Churchill Obeng, Akua Obeng Forson, Cornelia Appiah-Kwarteng, Simon Kwaku Attah, Yaw Asare Afrane","doi":"10.46471/gigabyte.172","DOIUrl":"10.46471/gigabyte.172","url":null,"abstract":"<p><p>Malaria control in Ghana and sub-Saharan Africa is threatened by widespread insecticide resistance in <i>Anopheles gambiae</i> s.l., undermining the effectiveness of long-lasting insecticidal nets and indoor residual spraying. A longitudinal survey was conducted between 2023 and 2025 across 20 urban and suburban sites spanning the coastal savannah, forest, and Sahel savannah zones. Of the 1,008 <i>An. gambiae</i> s.l. sampled, <i>An. coluzzii</i> was the dominant species (65.1%), followed by <i>An. gambiae</i> s.s. (18.9%) and <i>An. arabiensis</i> (10.9%). WHO bioassays revealed high pyrethroid resistance (mortality rate = 20-45%). Full susceptibility to pirimiphos-methyl (mortality rate = 99-100%) and chlorfenapyr was observed at most sites, though resistance to clothianidin was observed in Obuasi, Tema, and Abossey Okai. Intensity assays confirmed strong pyrethroid resistance even at 10× diagnostic concentrations. Genotyping showed near-fixation of the <i>kdrL995F</i> allele and the presence of additional resistance markers, including <i>N1570Y</i>, <i>V402L</i>, <i>I1527T</i>, and Ace-1R <i>G280S</i>.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2026 ","pages":"gigabyte172"},"PeriodicalIF":1.2,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12852983/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Isaac Kwame Sraku, Christopher Mfum Owusu-Asenso, Anisa Abdulai, Margaret Addo, Sebastian Kow Egyin Mensah, Faustina Adobea Owusu, Yaw Akuamoah-Boateng, Abdul Rahim Mohammed Sabtiu, Emmanuel Nana Boadu, Grace Arhin Danquah, Ruth Owusu Kwarteng, Cornelia Appiah-Kwarteng, Akua Obeng Forson, Simon Kwaku Attah, Yaw Asare Afrane
{"title":"Insecticide resistance dynamics in <i>Aedes</i> mosquitoes in Ghana.","authors":"Isaac Kwame Sraku, Christopher Mfum Owusu-Asenso, Anisa Abdulai, Margaret Addo, Sebastian Kow Egyin Mensah, Faustina Adobea Owusu, Yaw Akuamoah-Boateng, Abdul Rahim Mohammed Sabtiu, Emmanuel Nana Boadu, Grace Arhin Danquah, Ruth Owusu Kwarteng, Cornelia Appiah-Kwarteng, Akua Obeng Forson, Simon Kwaku Attah, Yaw Asare Afrane","doi":"10.46471/gigabyte.171","DOIUrl":"10.46471/gigabyte.171","url":null,"abstract":"<p><p>Arboviral diseases such as dengue, chikungunya, Zika, and yellow fever are of increasing endemicity and public health concern in Africa. Understanding the spatial distribution and dynamics of insecticide resistance in the <i>Aedes</i> vector could guide effective control interventions. We conducted larval surveys and WHO adult susceptibility bioassays on emerged adults from January 2019 to December 2023 in Ghana. Bioassays revealed widespread resistance in <i>Ae. aegypti</i> to pyrethroids, with 33.8-88.8% mortality for deltamethrin and 65-89% for permethrin. <i>Ae. aegypti</i> from Paga, Takoradi, and Accra was susceptible to pirimiphos-methyl. <i>Ae</i>. <i>vittatus</i> exhibited confirmed or possible resistance to pyrethroids. <i>Ae. albopictus</i> was found susceptible to all insecticides tested. Genotyping of mosquitoes (<i>n</i> = 887) identified high allelic frequencies of the F1534C kdr mutation in the pyrethroid-resistant <i>Ae. aegypti</i> populations. These findings highlight widespread pyrethroid resistance in the Ghanaian <i>Aedes</i> populations driven primarily by target-site insensitivity, and emphasize the urgent need for evidence-based vector-management strategies.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2025 ","pages":"gigabyte171"},"PeriodicalIF":1.2,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12770290/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145919236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}