Chromosome-level haplotype-resolved genome assembly of bread wheat's wild relative Aegilops mutica.

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Surbhi Grewal, Cai-Yun Yang, Ksenia Krasheninnikova, Joanna Collins, Jonathan M D Wood, Stephen Ashling, Duncan Scholefield, Gemy G Kaithakottil, David Swarbreck, Eric Yao, Taner Z Sen, Ian P King, Julie King
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引用次数: 0

Abstract

Bread wheat (Triticum aestivum) is a vital staple crop, with an urgent need for increased production to help feed the world's growing population. Aegilops mutica (2n = 2x = 14; T genome) is a diploid wild relative of wheat carrying valuable agronomic traits resulting in its extensive exploitation for wheat improvement. This paper reports a chromosome-scale, haplotype-resolved genome assembly of Ae. mutica using HiFi reads and Omni-C data. The final lengths for the curated genomes were ~4.65 Gb (haplotype 1) and 4.56 Gb (haplotype 2), featuring a contig N50 of ~4.35 Mb and ~4.60 Mb, respectively. Genome annotation predicted 96,723 gene models and repeats. In summary, the genome assembly of Ae. mutica provides a valuable resource for the wheat breeding community, facilitating faster and more efficient pre-breeding of wheat to enhance food security.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
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.
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