Makai, Szabolcs and Makai, Diána and Chonata Jimenez, Erika and Karsai, Ildikó and Mikó, Péter and Sepsi, Adél and Cseh, András Attila (2026) X-cross/over: a web tool for graph-based estimation of meiotic crossover events in plants. BMC BIOINFORMATICS, 27 (1). ISSN 1471-2105
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Abstract
Background Crossovers are essential for genome stability and genetic diversity, yet in plants they occur infrequently, typically restricted to only one to three per chromosome pair. Genotyping approaches such as SNP arrays or genotyping-bysequencing (GBS) enable high-resolution detection of crossover frequency, a critical step for elucidating the mechanisms that regulate meiotic recombination and for exploiting it in plant breeding. Despite their widespread use and the availability of highly reproducible marker sets, user-friendly tools for reliable recombination analysis remain scarce. Results Here we present X-cross/over, a web-based platform that applies a graphtheoretical algorithm to estimate crossover frequencies from SNP datasets in HapMap format. The platform was evaluated using publicly available barley backcross inbred populations and newly developed wheat doubled haploid lines. Across both datasets, X-cross/over detected crossover events with high accuracy and sensitivity, yielding results consistent with published genotyping and cytological analyses. Importantly, the tool produces outcomes comparable to expert analyses while remaining accessible to users without bioinformatics expertise. Conclusions X-cross/over provides a consistent and transparent framework for detecting crossover sites and quantifying their frequency. Implemented in a platformindependent environment, the application is freely available at https://insilicolabdesk. atk.kinin.hu, making it a versatile resource for exploring the genetic and epigenetic regulation of meiotic recombination across plant species.
| Item Type: | Article |
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| Additional Information: | Export Date: 12 February 2026; Cited By: 0; Correspondence Address: A. Sepsi; HUN-REN Centre for Agricultural Research, Agricultural Institute, Martonvásár, 2462, Hungary; email: sepsi.adel@atk.hun-ren.hu; A. Cseh; HUN-REN Centre for Agricultural Research, Agricultural Institute, Martonvásár, 2462, Hungary; email: cseh.andras@atk.hun-ren.hu; CODEN: BBMIC; |
| Uncontrolled Keywords: | Crossover, Crop, SNP array, GBS, Meiosis, DSB |
| Subjects: | S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 18 Sep 2026 10:01 |
| Last Modified: | 18 Sep 2026 10:01 |
| URI: | https://real.mtak.hu/id/eprint/246789 |
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