12 research outputs found
Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea
Genome-wide association analyses of quantitative disease resistance in diverse sets of soybean [Glycine max (L.) Merr.] plant introductions.
Phytophthora sojae is one of the costliest soybean pathogens in the US. Quantitative disease resistance (QDR) is a vital part of Phytophthora disease management. In this study, QDR was measured in 478 and 495 plant introductions (PIs) towards P. sojae isolates OH.121 and C2.S1, respectively, in genome-wide association (GWA) analyses to identify genetic markers linked to QDR loci (QDRL). Populations were generated by sampling PIs from the US, the Republic of Korea, and the full collection of PIs maintained by the USDA. Additionally, a meta-analysis of QDRL reported from bi-parental studies was done to compare past and present findings. Twenty-four significant marker-trait associations were identified from the 478 PIs phenotyped with OH.121, and an additional 24 marker-trait associations were identified from the 495 PIs phenotyped with C2.S1. In total, 48 significant markers were distributed across 16 chromosomes and based on linkage analysis, represent a total of 44 QDRL. The majority of QDRL were identified with only one of the two isolates, and only a region on chromosome 13 was consistently identified. Regions on chromosomes 3, 13, and 17 were identified in previous GWA-analyses and were re-identified in this study. Five QDRL co-localized with P. sojae meta-QDRL identified from QDRL reported in previous biparental mapping studies. The remaining regions represent novel QDRL, in the soybean-P. sojae pathosystem and were primarily identified in germplasm from the Republic of Korea. Overall, the number of loci identified in this study highlights the complexity of QDR to P. sojae
Additional file 1: Table S1. of Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea
Summary of mean lesion lengths from tray tests and virulence profiles from hypocotyl inoculations utilizing 22 different isolates of P. sojae. Table S2a Hypocotyl assay with isolate C2S1 and genotypic data of markers within QTL for 94 randomly selected accessions included in the GWA analysis. Table S2b Hypocotyl assay of differentials for isolate C2S1. Figure S1 Examination of population structure of 800 Plant Introductions. Figure S2 Manhattan plot of the soybean genome depicting the extent of associations of 19,138 SNPs with inoculated root rot score, inoculated root weight, inoculated shoot weight and inoculated plant height. Figure S3 Manhattan plot of the soybean genome depicting the extent of associations of 19,138 SNPs with non-inoculated root weight, non-inoculated shoot weight and non-inoculated plant height. (PDF 962Â kb
Additional file 2: Table S3. of Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea
Annotations for candidate genes within QTLs. (XLSX 44Â kb
Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean
Phytophthora sojae causes Phytophthora root and stem rot of soybean and has been primarily managed through deployment of qualitative Resistance to P. sojae genes (Rps genes). The effectiveness of each individual or combination of Rps gene(s) depends on the diversity and pathotypes of the P. sojae populations present. Due to the complex nature of P. sojae populations, identification of more novel Rps genes is needed. In this study, phenotypic data from previous studies of 16 panels of plant introductions (PIs) were analyzed. Panels 1 and 2 consisted of 448 Glycine max and 520 G. soja, which had been evaluated for Rps gene response with a combination of P. sojae isolates. Panels 3 and 4 consisted of 429 and 460 G. max PIs, respectively, which had been evaluated using individual P. sojae isolates with complex virulence pathotypes. Finally, Panels 5–16 (376 G. max PIs) consisted of data deposited in the USDA Soybean Germplasm Collection from evaluations with 12 races of P. sojae. Using these panels, genome-wide association (GWA) analyses were carried out by combining phenotypic and SoySNP50K genotypic data. GWA models identified two, two, six, and seven novel Rps loci with Panels 1, 2, 3, and 4, respectively. A total of 58 novel Rps loci were identified using Panels 5–16. Genetic and phenotypic dissection of these loci may lead to the characterization of novel Rps genes that can be effectively deployed in new soybean cultivars against diverse P. sojae populations.This article is published as Van, Kyujung, William Rolling, Ruslan M. Biyashev, Rashelle L. Matthiesen, Nilwala S. Abeysekara, Alison E. Robertson, Deloris J. Veney, Anne E. Dorrance, Leah K. McHale, and M. A. Saghai Maroof. "Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean." The Plant Genome 14, no. 1 (2021): e20063. doi:10.1002/tpg2.20063.</p
Absence of malaria-associated coagulopathy in asymptomatic plasmodium falciparum infection: results from a cross-sectional study in the Ashanti Region, Ghana
Background: Coagulopathy is common in acute symptomatic Plasmodium falciparum malaria, and the degree of coagulation abnormality correlates with parasitemia and disease severity. Chronic asymptomatic malaria has been associated with increased morbidity. However, the role of coagulation activation in asymptomatic, semi-immune individuals remains unclear. This study investigates the potential effect of asymptomatic P falciparum infection on coagulation activation in semi-immune Ghanaian adults.
Methods: Blood from asymptomatic Ghanaian adults with P falciparum blood stage infection detectable by polymerase chain reaction (PCR) or by both PCR and rapid diagnostic test and from noninfected individuals, was investigated. Markers of coagulation activation including global coagulation tests, D-dimer, antithrombin III, fibrinogen, and von Willebrand factor antigen were tested. Furthermore, blood count, inflammation markers, and liver and kidney function tests were assessed.
Results: Acquired coagulopathy was not found in asymptomatic P falciparum infection. Asymptomatic malaria was associated with significantly lower platelet counts. Systemic inflammation markers and liver and kidney function tests were not altered compared to noninfected controls.
Conclusions: There is no laboratory evidence for acquired coagulopathy in adults with asymptomatic P falciparum malaria in highly endemic regions. Lack of laboratory evidence for systemic inflammation and liver and kidney dysfunction indicates that asymptomatic malaria may not be associated with significant morbidity.</p
Current challenges in travelers' malaria
Travel health providers are often confronted with complex scenarios when advising travelers on malaria prevention. Current challenges in prevention include malaria risk assessment, where a detailed itinerary and knowledge of malaria epidemiology are needed. Up-to-date information on the correct use, limitations, and drug interactions of current priority chemoprophylaxis agents (atovaquone/proguanil, mefloquine, doxycycline) is key. Another challenge is to identify and reach travelers who are most at risk of malaria, such as the traveler visiting friends and relatives. Posttravel, delays in presentation, diagnosis, and inappropriate treatment of malaria are key risk factors leading to death. Treatment of malaria is an emergency requiring expert in-patient management and referral to a center with adequate expertise. Artemisinin combination therapies are the drugs of choice for uncomplicated malaria. Complicated malaria is treated preferably with intravenous artesunate, and the supply and quality of this life-saving antimalarial in some settings can pose one of the most urgent challenges in travelers' malaria