Marine Poullet, Hemanth Konigopal, Corinne Rancurel, Marine Sallaberry, Celine Lopez-Roques, Ana Paula Zotta Mota, Joanna Lledo, Sebastian Kiewnick, Etienne G J Danchin
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引用次数: 0
Abstract
Root-knot nematodes (RKN) of the genus Meloidogyne are obligatory plant endoparasites that cause substantial economic losses to agricultural production and impact the global food supply. These plant parasitic nematodes belong to the most widespread and devastating genus worldwide, yet few measures of control are available. The most efficient way to control RKN is deployment of resistance genes in plants. However, current resistance genes that control other Meloidogyne species are mostly inefficient on Meloidogyne enterolobii. Consequently, M. enterolobii was listed as a European Union quarantine pest requiring regulation. To gain insight into the molecular characteristics underlying its parasitic success, exploring the genome of M. enterolobii is essential. Here, we report a high-quality genome assembly of M. enterolobii using the high-fidelity long-read sequencing technology developed by Pacific Biosciences, combined with a gap-aware sequence transformer, DeepConsensus. The resulting triploid genome assembly spans 285.4 Mb with 556 contigs, a GC% of 30 ± 0.042 and an N50 value of 2.11 Mb, constituting a useful platform for comparative, population and functional genomics.
期刊介绍:
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.