A panel comprising of 84 Turkish winter wheat landraces (LR) and 73 modern varieties (MV) was analyzed with genome wide association study (GWAS) to identify genes/genomic regions associated with increased yield under favorable and drought conditions. In addition, selective sweep analysis was conducted to detect signatures of selection in the winter wheat genome driving the differentiation between LR and MV, to gather an understanding of genomic regions linked to adaptation and yield improvement. The panel was genotyped with 25 K wheat SNP array and phenotyped for agronomic traits for two growing seasons (2018 and 2019) in Konya, Turkey. Year 2018 was treated as drought environment due to very low precipitation prior to heading whereas year 2019 was considered as a favorable season. GWAS conducted with SNPs and haplotype blocks using mixed linear model identified 18 genomic regions in the vicinities of known genes i.e., TaERF3-3A, TaERF3-3B, DEP1-5A, FRIZZY PANICLE-2D, TaSnRK23-1A, TaAGL6-A, TaARF12-2A, TaARF12-2B, WAPO1, TaSPL16-7D, TaTGW6-A1, KAT-2B, TaOGT1, TaSPL21-6B, TaSBEIb, trs1/WFZP-A, TaCwi-A1-2A and TaPIN1-7A associated with grain yield (GY) and yield related traits. Haplotype-based GWAS identified five haplotype blocks (H1A-42, H2A-71, H4A-48, H7B-123 and H7B-124), with the favorable haplotypes showing a yield increase of > 700 kg/ha in the drought season. SNP-based GWAS, detected only one larger effect genomic region on chromosome 7B, in common with haplotype-based GWAS. On an average, the percentage variation (PV) explained by haplotypes was 8.0% higher than PV explained by SNPs for all the investigated traits. Selective sweep analysis detected 39 signatures of selection between LR and MV of which 15 were within proximity of known functional genes controlling flowering (PRR-A1, PPR-D1, TaHd1-6B), GY and GY components (TaSus2-2B, TaGS2-B1, AG1-1A/WAG1-1A, DUO-A1, DUO-B1, AG2-3A/WAG2-3A, TaLAX1, TaSnRK210-4A, FBP, TaLAX1, TaPIL1 and AP3-1-7A/WPA3-7A) and 10 regions underlying various transcription factors and regulatory genes. The study outcomes contribute to utilization of LR in breeding winter wheat.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11006659 | PMC |
http://dx.doi.org/10.1038/s41598-024-57469-1 | DOI Listing |
Sci Rep
December 2024
Key Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of the Xinjiang Uygur Autonomous Region, College of Agronomy, Xinjiang Agricultural University, Urumqi, 830052, China.
Wheat stripe rust is a fungal disease caused by Puccinia striiformis f. sp. tritici.
View Article and Find Full Text PDFJ Fungi (Basel)
December 2024
Institute of Plant Protection, Xinjiang Academy of Agricultural Sciences/Key Laboratory of Integrated Pest Management on Crop in Northwestern Oasis, Ministry of Agriculture and Rural Affairs, Urumqi 830000, China.
Xinjiang is an important region due to its unique epidemic characteristics of wheat stripe rust disease caused by f. sp. .
View Article and Find Full Text PDFJ Fungi (Basel)
December 2024
Federal Research Center "Kazan Scientific Center of the Russian Academy of Sciences", 420111 Kazan, Russia.
Our study investigates the intra- and interpopulation diversity of phytopathogenic fungi, using as a model organism. A total of 136 strains, representing two populations, were collected from different winter cereal crops (rye, wheat, and triticale) across two agrocenoses. In these strains, we analyzed and compared genetic and phenotypic traits, exploring potential relationships between them.
View Article and Find Full Text PDFSci Total Environ
December 2024
USDA, Agricultural Research Service, Southeast Area, Stoneville, MS 38776, USA.
Winter wheat is the most dominant crop in Oklahoma and critically important to the economy of agricultural industry in this state and the region. However, weather anomalies such as droughts, which are frequent in Oklahoma, pose serious threats to winter wheat yield. This study was conducted to assess the effects of droughts on the simulated yield of dryland winter wheat (Y) in Oklahoma employing a gridded approach with the AquaCrop Open Source (AquaCrop-OS).
View Article and Find Full Text PDFPlant Methods
December 2024
Department of Environmental System Sciences, Institute of Integrative Biology, ETH, Zurich, Switzerland.
Background: Senescence is a complex developmental process that is regulated by a multitude of environmental, genetic, and physiological factors. Optimizing the timing and dynamics of this process has the potential to significantly impact crop adaptation to future climates and for maintaining grain yield and quality, particularly under terminal stress. Accurately capturing the dynamics of senescence and isolating the genetic variance component requires frequent assessment as well as intense field testing.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!