1.
Tengvall, Katarina, 1980-, et al.
(författare)
Bayesian model and selection signature analyses reveal risk factors for canine atopic dermatitis
2022
Ingår i: Communications Biology. - : Springer Nature. - 2399-3642. ; 5:1
Tidskriftsartikel (refereegranskat) abstract
Canine atopic dermatitis is an inflammatory skin disease with clinical similarities to human atopic dermatitis. Several dog breeds are at increased risk for developing this disease but previous genetic associations are poorly defined. To identify additional genetic risk factors for canine atopic dermatitis, we here apply a Bayesian mixture model adapted for mapping complex traits and a cross-population extended haplotype test to search for disease-associated loci and selective sweeps in four dog breeds at risk for atopic dermatitis. We define 15 associated loci and eight candidate regions under selection by comparing cases with controls. One associated locus is syntenic to the major genetic risk locus (Filaggrin locus) in human atopic dermatitis. One selection signal in common type Labrador retriever cases positions across the TBC1D1 gene (body weight) and one signal of selection in working type German shepherd controls overlaps the LRP1B gene (brain), near the KYNU gene (psoriasis). In conclusion, we identify candidate genes, including genes belonging to the same biological pathways across multiple loci, with potential relevance to the pathogenesis of canine atopic dermatitis. The results show genetic similarities between dog and human atopic dermatitis, and future across-species genetic comparisons are hereby further motivated.
2.
Abreha, Kibrom Berhe, et al.
(författare)
Understanding the Sorghum–Colletotrichum sublineola interactions for enhanced host resistance
2021
Ingår i: Frontiers in Plant Science. - : Frontiers Media SA. - 1664-462X. ; 12
Forskningsöversikt (refereegranskat) abstract
Improving sorghum resistance is a sustainable method to reduce yield losses due to anthracnose, a devastating disease caused by Colletotrichum sublineola. Elucidating the molecular mechanisms of sorghum–C. sublineola interactions would help identify biomarkers for rapid and efficient identification of novel sources for host-plant resistance improvement, understanding the pathogen virulence, and facilitating resistance breeding. Despite concerted efforts to identify resistance sources, the knowledge about sorghum–anthracnose interactions remains scanty. Hence, in this review, we presented an overview of the current knowledge on the mechanisms of sorghum-C. sublineola molecular interactions, sources of resistance for sorghum breeding, quantitative trait loci (QTL), and major (R-) resistance gene sequences as well as defense-related genes associated with anthracnose resistance. We summarized current knowledge about C. sublineola populations and its virulence. Illustration of the sorghum-C. sublineola interaction model based on the current understanding is also provided. We highlighted the importance of genomic resources of both organisms for integrated omics research to unravel the key molecular components underpinning compatible and incompatible sorghum–anthracnose interactions. Furthermore, sorghum-breeding strategy employing rapid sorghum germplasm screening, systems biology, and molecular tools is presented.
3.
Brhanie Mesfin, Haftom, et al.
(författare)
Novel GBS-Based SNP Markers for Finger Millet and Their Use in Genetic Diversity Analyses
2022
Ingår i: Frontiers in Genetics. - : Frontiers Media SA. - 1664-8021. ; 13
Tidskriftsartikel (refereegranskat) abstract
Eleusine coracana (L.) Gaertn., commonly known as finger millet, is a multipurpose crop used for food and feed. Genomic tools are required for the characterization of crop gene pools and their genomics-led breeding. High-throughput sequencing-based characterization of finger millet germplasm representing diverse agro-ecologies was considered an effective method for determining its genetic diversity, thereby suggesting potential candidates for breeding. In this study, the genotyping-by-sequencing (GBS) method was used to simultaneously identify novel single nucleotide polymorphism (SNP) markers and genotype 288 finger millet accessions collected from Ethiopia and Zimbabwe. The accessions were characterized at individual and group levels using 5,226 bi-allelic SNPs, with a minimum allele frequency (MAF) of above 0.05, distributed across 2,500 scaffolds of the finger millet reference genome. The polymorphism information content (PIC) of the SNPs was 0.23 on average, and a quarter of them have PIC values over 0.32, making them highly informative. The grouping of the 288 accessions into seven populations based on geographic proximity and the potential for germplasm exchange revealed a narrow range of observed heterozygosity (Ho; 0.09-0.11) and expected heterozygosity (He) that ranged over twofold, from 0.11 to 0.26. Alleles unique to the different groups were also identified, which merit further investigation for their potential association with desirable traits. The analysis of molecular variance (AMOVA) revealed a highly significant genetic differentiation among groups of accessions classified based on the geographic region, country of origin, days to flowering, panicle type, and Al tolerance (p < 0.01). The high genetic differentiation between Ethiopian and Zimbabwean accessions was evident in the AMOVA, cluster, principal coordinate, and population structure analyses. The level of genetic diversity of finger millet accessions varies moderately among locations within Ethiopia, with accessions from the northern region having the lowest level. In the neighbor-joining cluster analysis, most of the improved cultivars included in this study were closely clustered, probably because they were developed using genetically less diverse germplasm and/or selected for similar traits, such as grain yield. The recombination of alleles via crossbreeding genetically distinct accessions from different regions of the two countries can potentially lead to the development of superior cultivars.
4.
Eriksson, Dennis, et al.
(författare)
Editorial: Leeway to operate with plant genetic resources
2020
Ingår i: Frontiers in Plant Science. - : Frontiers Media SA. - 1664-462X. ; 11
Tidskriftsartikel (refereegranskat) abstract
Editorial on the Research Topic Leeway to Operate With Plant Genetic Resources Different legal frameworks are applicable to the use of genetic resources (GR). These can broadly be categorized into (1) access and benefit-sharing (ABS), (2) biosafety aspects related to the technologies for improving the genetic material, and (3) intellectual property (IP) systems including plant variety rights (PVR) and patents specific to the plant innovation sector. With scientific and technical progress in research and breeding, as well as expanding internationalization, legal frameworks have become increasingly complex in the past few decades. In this context, the Research Topic “Leeway to operate with plant genetic resources” addresses the latest and most pertinent legalissues related to the use of GR in plant research and breeding.The contributions are summarized here and put into the larger societal and legal context that modern-day plant geneticists are facing.
5.
Hammenhag, Cecilia, et al.
(författare)
Novel Expressed Sequence Tag-Derived and Other Genomic Simple Sequence Repeat Markers Revealed Genetic Diversity in Ethiopian Finger Millet Landrace Populations and Cultivars
2021
Ingår i: Frontiers in Plant Science. - : Frontiers Media SA. - 1664-462X. ; 12
Tidskriftsartikel (refereegranskat) abstract
Finger millet (Eleusine coracana (L.) Geartn.) is a self-pollinating amphidiploid crop cultivated with minimal input for food and feed, as well as a source of income for small-scale farmers. To efficiently assess its genetic diversity for conservation and use in breeding programs, polymorphic DNA markers that represent its complex tetraploid genome have to be developed and used. In this study, 13 new expressed sequence tag-derived simple sequence repeat (EST-SSR) markers were developed based on publicly available finger millet ESTs. Using 10 polymorphic SSR markers (3 genomic and 7 novel EST-derived), the genetic diversity of 55 landrace accessions and 5 cultivars of finger millet representing its major growing areas in Ethiopia was assessed. In total, 26 alleles were detected across the 10 loci, and the average observed number of alleles per locus was 5.6. The polymorphic information content (PIC) of the loci ranged from 0.045 (Elco-48) to 0.71 (UGEP-66). The level of genetic diversity did not differ much between the accessions with the mean gene diversity estimates ranging only from 0.44 (accession 216054) to 0.68 (accession 237443). Similarly, a narrow range of variation was recorded at the level of regional states ranging from 0.54 (Oromia) to 0.59 (Amhara and Tigray). Interestingly, the average gene diversity of the landrace accessions (0.57) was similar to that of the cultivars (0.58). The analysis of molecular variance (AMOVA) revealed significant genetic variation both within and among accessions. The variation among the accessions accounted for 18.8% of the total variation (FST = 0.19; P < 0.001). Similarly, significant genetic variation was obtained among the geographic regions, accounting for 6.9% of the total variation (P < 0.001). The results of the cluster, principal coordinate, and population structure analyses suggest a poor correlation between the genetic makeups of finger millet landrace populations and their geographic regions of origin, which in turn suggests strong gene flow between populations within and across geographic regions. This study contributed novel EST-SSR markers for their various applications, and those that were monomorphic should be tested in more diverse finger millet genetic resources.
6.
Hammenhag, Cecilia, et al.
(författare)
QTL mapping for domestication-related characteristics in field cress (Lepidium campestre)—a novel oil crop for the Subarctic region
2020
Ingår i: Genes. - : MDPI AG. - 2073-4425. ; 11
Tidskriftsartikel (refereegranskat) abstract
Domestication of a new crop requires identification and improvement of desirable characteristics Field cress (Lepidium campestre) is being domesticated as a new oilseed crop, particularly for northern temperate regions.. In the present study, an F-2 mapping population and its F-3 progenies were used to identify quantitative trait loci (QTLs) for plant height (PH), number of stems per plant (NS), stem growth orientation (SO), flowering habit (FH), earliness (ER), seed yield per plant (SY), pod shattering resistance (SHR), and perenniality (PE). A highly significant correlation (p < 0.001) was observed between several pairs of characteristics, including SY and ER (negative) or ER and PE (positive). The inclusive composite interval mapping approach was used for QTL mapping using 2330 single nucleotide polymorphism (SNP) markers mapped across the eight field cress linkage groups. Nine QTLs were identified with NS, PH, SO, and PE having 3, 3, 2, and 1 QTLs, explaining 21.3%, 29.5%, 3.8%, and 7.2% of the phenotypic variation, respectively. Candidate genes behind three of the QTLs and favorable marker alleles for different classes of each characteristic were identified. Following their validation through further study, the identified QTLs and associated favorable marker alleles can be used in marker-aided breeding to speed up the domestication of field cress.
7.
Karlsson, Milla, et al.
(författare)
Möjliga tillämpningar av nya genomiska tekniker inom integrerat växtskydd
2023
Rapport (övrigt vetenskapligt/konstnärligt) abstract
Det pågår en omställning av jord- och trädgårdsbruket, både med hänsyn till hållbar produktion och pågående klimatförändringar. Som en del av EUs arbete att utveckla lantbruket mot en mer hållbar produktion har kommissionen lagt fram ett förslag på minskning av växtskyddsmedel om minst 50 %, totalt sett inom EU, senast 2030. För Sveriges del innebär förslaget, enligt preliminära beräkningar, att vi behöver minska mängden växtskyddsmedel med 35-36 %. För att ersätta funktionen av denna mängd växtskyddsmedel behövs ett integrerat tillvägagångssätt som kräver tillgång till andra effektiva metoder för bekämpning av skadegörare på odlade växter.Under det senaste decenniet har nya genomiska tekniker inom växtförädlingen utvecklats, vilka möjliggör riktade förändringar i många grödors genom. Teknikerna innebär antingen att man introducerar enstaka förändringar i DNA-sekvensen (s.k. genomredigering), eller att man sätter in en längre DNA-sekvens från samma art eller en korsningsbar art i en gröda (s.k. cisgenes). Dessutom har kunskapen om växters försvarssystem framskridit avsevärt. Med den ökade kunskapen och de nya teknikerna ökar möjligheten att kombinera gener och öka variationen av de gener som gör grödorna resistenta mot olika växtsjukdomar. På så sätt kan förädlingen av sjukdomsresistenta sorter ske med betydligt bättre precision och på kortare tid än vad traditionella förädlingstekniker tillåter. Tidsaspekten kan ses som extra viktig i resistenssammanhang eftersom skadegörarpopulationerna ändras kontinuerligt. Potentialen att kombinera flera olika resistensmekanismer för att uppnå mer uthållig resistens samt möjligheten att lösa ett eller flera växtskyddsproblem i samma sort bör också noteras.Enligt nuvarande EU-lagstiftning regleras dock genomredigerade och cisgena grödor på samma sätt som traditionellt genetiskt modifierade organismer (GMO), en lagstiftning som i praktiken omöjliggör kommersiell odling inom EU. Detta trots att resultatet av de moderna teknikerna kan efterlikna vad som kan ske spontant i naturen (mutationer) eller via traditionella oreglerade förädlingsmetoder (t.ex. mutations-, eller korsningsförädling). I lagstiftningen tas det ej i beaktande att sjukdomsresistenta grödor kan bidra till en minskad användning av växtskyddsmedel.Idag är potatisodling ofta förknippad med en användning av stora mängder växtskyddsmedel mot potatisbladmögel. Samtidigt är det möjligt att göra potatissorterna helt resistenta mot potatisbladmögel med hjälp av cisgenes och ge dem en ökad motståndskraft med hjälp av genomredigering. Om det vore möjligt att odla potatis som förädlats med nya genomiska tekniker inom EU idag, visar denna rapport att det skulle vara möjligt att kraftigt minska användningen av växtskyddsmedel i potatisodlingen. Det skulle innebära en reducering av mängden växtskyddsmedel som används inom det svenska lantbruket och skulle även innebära besparingar runt 91 miljoner SEK per år för odlarna.Vete och annan spannmål är de grödor där flest totala hektardoser av fungicider appliceras, till en årlig kostnad av två miljarder SEK. För dessa grödor finns inget lika tydligt exempel på enskilda sjukdomar som så kraftigt kan minska fungicidanvändningen. Vi ser dock en tydlig framtida potential att minska antalet bekämpningar och därmed kostnaden för lantbruket med hjälp av nya genomiska tekniker inom sädesslagen.Möjligheten att öka växters egen resistens för att minska användningen av växtskyddsmedel finns redan idag även i flera andra grödor, och möjligheterna förväntas fortsatt växa i takt med att teknikutveckling och forskning fortgår. En förändrad lagstiftning runt nya genomiska tekniker skulle även öppna för applikationer inom områden där det idag inte finns någon effektiv metod att bekämpa växtskadegörare. Exempel på sådana skadegörare är många virussjukdomar och skador som orsakas av nematoder. Därför kan skördestabiliteten och konkurrenskraften förväntas öka i grödor där det idag finns skadegörare där effektiva bekämpningsmetoder saknas.Sammanfattningsvis ser vi nya genomiska tekniker för att förädla resistenta grödor som en viktig del i arbetet mot ett hållbart jordbruk och för att uppnå EU-kommissionens mål om att reducera användningen av växtskyddsmedel inom jord- och trädgårdsbruket.
8.
Mulugeta, Behailu, et al.
(författare)
Marker-trait association analyses revealed major novel QTLs for grain yield and related traits in durum wheat
2023
Ingår i: Frontiers in Plant Science. - : Frontiers Media SA. - 1664-462X. ; 13
Tidskriftsartikel (refereegranskat) abstract
The growing global demand for wheat for food is rising due to the influence of population growth and climate change. The dissection of complex traits by employing a genome-wide association study (GWAS) allows the identification of DNA markers associated with complex traits to improve the productivity of crops. We used GWAS with 10,045 single nucleotide polymorphism (SNP) markers to search for genomic regions associated with grain yield and related traits based on diverse panels of Ethiopian durum wheat. In Ethiopia, multi-environment trials of the genotypes were carried out at five locations. The genotyping was conducted using the 25k Illumina Wheat SNP array to explore population structure, linkage disequilibrium (LD), and marker-trait associations (MTAs). For GWAS, the multi-locus Fixed and Random Model Circulating Probability Unification (FarmCPU) model was applied. Broad-sense heritability estimates were high, ranging from 0.63 (for grain yield) to 0.97 (for thousand-kernel weight). The population structure based on principal component analysis, and model-based cluster analysis revealed two genetically distinct clusters with limited admixtures. The LD among SNPs declined within the range of 2.02-10.04 Mbp with an average of 4.28 Mbp. The GWAS scan based on the mean performance of the genotypes across the environments identified 44 significant MTAs across the chromosomes. Twenty-six of these MTAs are novel, whereas the remaining 18 were previously reported and confirmed in this study. We also identified candidate genes for the novel loci potentially regulating the traits. Hence, this study highlights the significance of the Ethiopian durum wheat gene pool for improving durum wheat globally. Furthermore, a breeding strategy focusing on accumulating favorable alleles at these loci could improve durum wheat production in the East African highlands and elsewhere.
9.
Ortiz Rios, Rodomiro Octavio
(författare)
Challenges for crop improvement
2023
Ingår i: Emerging topics in life sciences. - 2397-8554 .- 2397-8562. ; 7, s. 197-205
Forskningsöversikt (refereegranskat) abstract
The genetic improvement of crops faces the significant challenge of feeding an everincreasing population amidst a changing climate, and when governments are adopting a ‘more with less’ approach to reduce input use. Plant breeding has the potential to contribute to the United Nations Agenda 2030 by addressing various sustainable development goals (SDGs), with its most profound impact expected on SDG2 Zero Hunger. To expedite the time-consuming crossbreeding process, a genomic-led approach for predicting breeding values, targeted mutagenesis through gene editing, high-throughput phenomics for trait evaluation, enviromics for including characterization of the testing environments, machine learning for effective management of large datasets, and speed breeding techniques promoting early flowering and seed production are being incorporated into the plant breeding toolbox. These advancements are poised to enhance genetic gains through selection in the cultigen pools of various crops. Consequently, these knowledge-based breeding methods are pursued for trait introgression, population improvement, and cultivar development. This article uses the potato crop as an example to showcase the progress being made in both genomic-led approaches and gene editing for accelerating the delivery of genetic gains through the utilization of genetically enhanced elite germplasm. It also further underscores that access to technological advances in plant breeding may be influenced by regulations and intellectual property rights.
10.
Ortiz Rios, Rodomiro Octavio
(författare)
Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction
2022
Ingår i: Complex Trait Prediction : Methods and Protocols. - New York, NY : Springer US. - 9781071622049 ; :2467, s. 245-283
Bokkapitel (refereegranskat) abstract
Genomic-enabled prediction models are of paramount importance for the successful implementation of genomic selection (GS) based on breeding values. As opposed to animal breeding, plant breeding includes extensive multienvironment and multiyear field trial data. Hence, genomic-enabled prediction models should include genotype × environment (G × E) interaction, which most of the time increases the prediction performance when the response of lines are different from environment to environment. In this chapter, we describe a historical timeline since 2012 related to advances of the GS models that take into account G × E interaction. We describe theoretical and practical aspects of those GS models, including the gains in prediction performance when including G × E structures for both complex continuous and categorical scale traits. Then, we detailed and explained the main G × E genomic prediction models for complex traits measured in continuous and noncontinuous (categorical) scale. Related to G × E interaction models this review also examine the analyses of the information generated with high-throughput phenotype data (phenomic) and the joint analyses of multitrait and multienvironment field trial data that is also employed in the general assessment of multitrait G × E interaction. The inclusion of nongenomic data in increasing the accuracy and biological reliability of the G × E approach is also outlined. We show the recent advances in large-scale envirotyping (enviromics), and how the use of mechanistic computational modeling can derive the crop growth and development aspects useful for predicting phenotypes and explaining G × E.
