bioRxivPlant BiologyPreprint
Assembly of chromosome-scale and allele-aware autotetraploid genome of the Chinese alfalfa cultivar Zhongmu-4 and identification of SNP loci associated with 27 agronomic traits
R. Long, F. Zhang, Z. Zhang, M. Li, L. Chen, X. Wang, W. Liu, T. Zhang, L.-X. Yu, F. He, X. Jiang, X. Yang, C. Yang, Z. WangiD, J. Kang, Q. Yang
Abstract
Alfalfa (Medicago sativa L.), the most valuable perennial legume crop, referred to as "Queen of the Forages" for its high nutritional value and yield production among forage crops. Comprehensive genomic information of germplasm resources from different ecological regions and modern breeding strategies, such as molecular-marker assisted breeding are of great importance to breed new alfalfa varieties with environmental resilience. Here, we report assembly of the genome sequence of Zhongmu-4 (ZM-4), one of the most planted cultivars in China, and identification of SNPs associated with alfalfa agronomic traits by Genome-wide Association Studies (GWAS). Sequence of 32 allelic chromosomes was assembled successfully by single molecule real time sequencing and Hi-C technique with ALLHiC algorithm. About 2.74 Gbp contigs, accounting for 88.39% of the estimated genome, were assembled with 2.56 Gbp contigs anchored to 32 pseudo-chromosomes. In comparison with M. truncatula A17, distinctive inversion and translocation on chromosome 1, and between chromosome 4 and 8, respectively, were detected. Moreover, we conducted resequencing of 220 alfalfa accessions collected globally and performed GWAS analysis based on our assembled genome. Population structure analysis demonstrated that alfalfa has a complex genetic relationship among germplasm with different geographic origins. GWAS identified 101 SNPs associated with 27 out of 93 agronomic traits. The updated chromosome-scale and allele-aware genome sequence, coupled with the resequencing data of most global alfalfa germplasm, provides valuable information for alfalfa genetic research, and further analysis of major SNP loci will accelerate unravelling the molecular basis of important agronomic traits and facilitate genetic improvement of alfalfa.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Whole-Genome Sequencing on 220 Alfalfa (Medicago sativa L.) Accessions Identified Association of DREB1C Gene with Fall Dormancy Height
Fan Zhang, Junmei Kang, … Qingchuan Yang·bioRxiv·Mar 29, 2021
- Haplotype-resolved genome of autotetraploid alfalfa (Medicago sativa) Regen-SY27x uncovers large scale structural variation and resistance gene dynamics
Harpreet Kaur, Connor T. Cameron, … Deborah A. Samac·bioRxiv·May 5, 2026
- Multi-trait modeling and machine learning discover new markers associated with stem traits in alfalfa
Cesar Augusto Medina, Deborah Jo Heuschele, … Zhanyou Xu·Frontiers in Plant SciencePeer-reviewed·Sep 9, 2024
- Genetic basis of plasticity for forage quality traits in response to water deficit in a diverse germplasm panel of alfalfa
Long‐Xi Yu, Bill Boge, … Steve Norberg·bioRxiv·Feb 18, 2019
- Genome based meta-QTL analysis of grain weight in tetraploid wheat identifies rare alleles of GRF4 associated with larger grains
R. Avni, L. Oren, … A. Distelfeld·bioRxiv·Nov 1, 2018
- Chromosome-scale genome assembly and de novo annotation of Alopecurus aequalis.
Jonathan Wright, Kendall Baker, … Dana R. MacGregor·Scientific DataPeer-reviewed·Dec 18, 2024