{"id":6245,"date":"2026-05-06T10:21:02","date_gmt":"2026-05-06T10:21:02","guid":{"rendered":"https:\/\/agrosynapsis.com\/?p=6245"},"modified":"2026-05-06T10:21:07","modified_gmt":"2026-05-06T10:21:07","slug":"qtl-seq-a-fast-precise-and-cost-effective-alternative-to-biparental-qtl-mapping-for-breeding-companies","status":"publish","type":"post","link":"https:\/\/agrosynapsis.com\/es\/qtl-seq-a-fast-precise-and-cost-effective-alternative-to-biparental-qtl-mapping-for-breeding-companies\/","title":{"rendered":"QTL-seq: A fast, precise, and cost-effective alternative to biparental QTL mapping for breeding companies"},"content":{"rendered":"<p>Along with classical QTL mapping in biparental populations\u2014where we phenotype and genotype every individual\u2014there has always been a smart shortcut: Bulk Segregant Analysis (BSA).<br><br>Instead of analyzing all individuals, BSA pools DNA from individuals with extreme phenotypes (e.g., highly resistant vs highly susceptible) and compares allele frequencies between these groups.<br><br>\ud83d\udc49 And today, thanks to the dramatic reduction in sequencing costs, we no longer genotype these pools with a handful of markers\u2014we sequence them.<br>This is how QTL-seq was born.<br><br>\ud83d\udd2c Why QTL-seq matters today<br>The integration of BSA with next-generation sequencing (NGS) has transformed trait mapping:<br>\u2714\ufe0fHigh resolution and accuracy<br>\u2714\ufe0fMuch faster than traditional QTL mapping<br>\u2714\ufe0fSignificantly lower cost<br>\u2714\ufe0fHigh-throughput and scalable<br>In fact, these approaches can identify genomic regions controlling traits rapidly and with high precision, often comparable to classical mapping approaches .<br><br>For companies, this is key:<br>\ud83d\udc49 Speed + precision + cost-efficiency = competitive advantage<br>Especially when working with major-effect QTLs like disease resistance genes, and and there is a robust phenotyping protocol that discriminates clearly the extremes.<br><br>\u2699\ufe0f How QTL-seq works (in practice)<br>The workflow is elegant and efficient:<br>1. Create a segregating population<br>(e.g., F2 from parents with contrasting phenotypes)<br>2. Select individuals with extreme phenotypes<br>(e.g., most resistant vs most susceptible)<br>3. Pool DNA into two bulks<br>\u2192 Resistant bulk<br>\u2192 Susceptible bulk<br>4. Sequence both bulks<br>5. Align reads and call SNPs<br>6. Compare allele frequencies between bulks<br>\u2192 Calculate SNP-index and \u0394SNP-index (for example using the R package QTLseqr)<br>7. Identify genomic regions (QTLs)<br>\u2192 Regions with strong allele frequency differences are linked to the trait<br>The key idea:<br>Marker alleles associated to the locus controlling the trait become enriched in one bulk, while neutral alleles remain randomly distributed.<br><br>\ud83d\udcca Proven in real breeding scenarios<br>QTL-seq is not theoretical\u2014it\u2019s already widely used:<br>Disease resistance in groundnut<br>Fruit traits in tomato<br>Flowering time and plant height in cereals<br>Stress tolerance (heat, cold, salinity)<br>Multiple studies have successfully identified major QTLs and candidate genes across crops using this approach .<br><br>\ud83d\udcd6 For those who want to dive deeper into the methodology and real-case applications, here is an excellent review:<br><a href=\"https:\/\/lnkd.in\/eE-qr3-w\">https:\/\/lnkd.in\/eE-qr3-w<\/a><br><br>\ud83d\udc49 If you\u2019d like to be informed about the upcoming workshops organized by <a href=\"https:\/\/www.linkedin.com\/company\/agrosynapsis\/\">AgroSynapsis<\/a>, and receive early access and discounts, \ud835\uddf3\ud835\uddf6\ud835\uddf9\ud835\uddf9 \ud835\uddfc\ud835\ude02\ud835\ude01 \ud835\uddfc\ud835\ude02\ud835\uddff \ud835\ude00\ud835\uddf5\ud835\uddfc\ud835\uddff\ud835\ude01 \ud835\ude01\ud835\uddff\ud835\uddee\ud835\uddf6\ud835\uddfb\ud835\uddf6\ud835\uddfb\ud835\uddf4 \ud835\uddf6\ud835\uddfb\ud835\ude01\ud835\uddf2\ud835\uddff\ud835\uddf2\ud835\ude00\ud835\ude01 \ud835\uddf3\ud835\uddfc\ud835\uddff\ud835\uddfa here:<br><br><a href=\"https:\/\/lnkd.in\/g3tApqPz\">https:\/\/lnkd.in\/g3tApqPz<\/a><\/p>\n<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>","protected":false},"excerpt":{"rendered":"<p>Discover how QTL-seq combines bulk segregant analysis and sequencing to rapidly identify trait-linked genomic regions with high precision and low cost.<\/p>","protected":false},"author":2,"featured_media":6218,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[46],"tags":[],"class_list":["post-6245","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-knowledge-bites"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>QTL-seq: A fast, precise, and cost-effective alternative to biparental QTL mapping for breeding companies - AgroSynapsis<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/agrosynapsis.com\/es\/qtl-seq-a-fast-precise-and-cost-effective-alternative-to-biparental-qtl-mapping-for-breeding-companies\/\" \/>\n<meta property=\"og:locale\" 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