Historic breeding practices contribute to germplasm divergence in leaf specialized metabolism and ecophysiology in cultivated sunflower (Helianthus annuus) DOI Creative Commons
Jordan A. Dowell,

Alan W. Bowsher,

Amna Jamshad

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 12, 2024

Abstract The use of hybrid breeding systems to increase crop yields has been the cornerstone modern agriculture and is exemplified in improvement cultivated sunflower ( Helianthus annuus) . However, it poorly understood what effect supporting separate pools such systems, combined with continued selection for yield, may have on leaf ecophysiology specialized metabolite variation. Here, we analyze 288 H. annuus lines examine genomic basis several metabolites agronomically important traits across major heterotic groups. Heterotic group identity supports phenotypic divergences between fertility restoring cytoplasmic male-sterility maintainer metabolism. divergence not associated physical linkage nuclear genes that support current Further, identified four regions variation metabolism co-localize previously QTLs quantitative self-compatibility SPH-proteins, a recently discovered family proteins self-incompatibility self/nonself recognition Papaver rhoeas (common poppy) suggested conserved downstream mechanisms among eudicots. Self-compatibility derived trait selfing success, suggesting divergent partially arisen as potential unintended consequence historical practices. Further work necessary confirm their relationship integrative polygenic architecture sunflower.

Language: Английский

The genomics of linkage drag in inbred lines of sunflower DOI Creative Commons
Kaichi Huang, Mojtaba Jahani, Jérôme Gouzy

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(14)

Published: March 27, 2023

Crop wild relatives represent valuable sources of alleles for crop improvement, including adaptation to climate change and emerging diseases. However, introgressions from might have deleterious effects on desirable traits, yield, due linkage drag. Here, we analyzed the genomic phenotypic impacts in inbred lines cultivated sunflower estimate First, generated reference sequences seven one genotype, as well improved assemblies two additional cultivars. Next, relying previously donor species, identified sequences, sequence structural variants they contain. We then used a ridge-regression best linear unbiased prediction (BLUP) model test traits association mapping population. found that introgression has introduced substantial variation into gene pool, >3,000 new genes. While reduced genetic load at protein-coding mostly had negative yield quality traits. Introgressions high frequency pool larger than low-frequency introgressions, suggesting former likely were targeted by artificial selection. Also, more distantly related species be maladaptive those progenitor sunflower. Thus, breeding efforts should focus, far possible, closely fully compatible relatives.

Language: Английский

Citations

32

Crop adaptation to climate change: An evolutionary perspective DOI Creative Commons
Lexuan Gao, Michael B. Kantar, Dylan R. Moxley

et al.

Molecular Plant, Journal Year: 2023, Volume and Issue: 16(10), P. 1518 - 1546

Published: July 27, 2023

Language: Английский

Citations

21

Harnessing crop diversity DOI Creative Commons
Susan R. McCouch, Loren H. Rieseberg

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(14)

Published: March 27, 2023

Microbial communities are found throughout the biosphere, from human guts to glaciers, soil activated sludge. Understanding statistical properties of such diverse can pave way elucidate common mechanisms ...Multiple ecological forces act together shape composition microbial communities. Phyloecology approaches—which combine phylogenetic relationships between species with community ecology—have potential disentangle but often ...

Language: Английский

Citations

20

Diamonds in the not-so-rough: Wild relative diversity hidden in crop genomes DOI Creative Commons
Sherry Flint‐Garcia, Mitchell J. Feldmann,

Hannes Dempewolf

et al.

PLoS Biology, Journal Year: 2023, Volume and Issue: 21(7), P. e3002235 - e3002235

Published: July 13, 2023

Crop production is becoming an increasing challenge as the global population grows and climate changes. Modern cultivated crop species are selected for productivity under optimal growth environments have often lost genetic variants that could allow them to adapt diverse, now rapidly changing, environments. These present in their closest wild relatives, but so less desirable traits. How preserve effectively utilize rich resources relatives offer while avoiding detrimental maladaptive contributions a central ongoing improvement. This Essay explores this potential paths lead solution.

Language: Английский

Citations

11

Gene expression and alternative splicing contribute to adaptive divergence of ecotypes DOI
Peter A. Innes, April Goebl, Chris C. R. Smith

et al.

Heredity, Journal Year: 2023, Volume and Issue: 132(3), P. 120 - 132

Published: Dec. 9, 2023

Language: Английский

Citations

11

Emerging Trends in Wheat (Triticum spp.) Breeding: Implications for the Future DOI Creative Commons

Mujahid Alam,

P. Stephen Baenziger,

Katherine Frels

et al.

Frontiers in Bioscience-Elite, Journal Year: 2024, Volume and Issue: 16(1), P. 2 - 2

Published: Jan. 31, 2024

Wheat (Triticum spp and, particularly, T. aestivum L.) is an essential cereal with increased human and animal nutritional demand. Therefore, there a need to enhance wheat yield genetic gain using modern breeding technologies alongside proven methods achieve the necessary increases in productivity. These will allow breeders develop improved cultivars more quickly efficiently. This review aims highlight emerging technological trends used worldwide breeding, focus on enhancing yield. The key for introducing variation (hybridization among species, synthetic wheat, hybridization; genetically modified wheat; transgenic gene-edited), inbreeding (double haploid (DH) speed (SB)), selection evaluation (marker-assisted (MAS), genomic (GS), machine learning (ML)) hybrid are discussed current opportunities development of future cultivars.

Language: Английский

Citations

4

Chromosome-level genome assemblies of sunflower oilseed and confectionery cultivars DOI Creative Commons

Liuxi Yi,

Haizhu Bao,

Yang Wu

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 7, 2025

The sunflower (Helianthus annuus L.), belonging to the Asteraceae family, is world's fourth most important oil crop. Sunflower cultivars are categorized into oilseed and confectionery types. Here, we present chromosome-level genome assemblies of two Chinese cultivars-oilseed confectionery-using PacBio HiFi Hi-C sequencing. cultivar, OXS, has a assembly spanning 3.03 Gb with 99.58% sequences anchored 17 chromosomes contig N50 length 154.78 Mb. first published cultivar genome, YDS, mirrors this closely 3.02 assembly, 153.87 Mb 99.40% mapped similarly. Gene completeness reached 98.2% for OXS 98.4% LTR Assembly Index scores 24.73 25.85, respectively. Comparative genomics identified rapidly evolving gene families linked synthesis, growth, stress defense. Additionally, found high collinearity between YDS genomes, despite three significant inversions, detected 15,056 large deletions insertions. These findings lay robust foundation advanced genomic research breeding innovations in sunflowers.

Language: Английский

Citations

0

An overview of single-cell high-throughput technology in plants DOI
Lucas Auroux, Lim Chee Liew, Mathew G. Lewsey

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: Jan. 1, 2025

Language: Английский

Citations

0

Breeding Climate-Resilient Sunflowers in the Climate Change Era: Current Breeding Strategies and Prospects DOI
R. Manivannan,

R. Sasikala,

R. P. Ramteke

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Global Status of Genetic, Genomic, and Bioinformatics Resources for the Genetic Enhancement of Oilseed Crops DOI
Parimalan Rangan, Sneha Murmu, Sunil Archak

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0