Gynandropsis gynandra (Cleomaceae) is a cosmopolitan leafy vegetable and medicinal plant, which has also been used as a model to study C4 photosynthesis due to its evolutionary proximity to C3 Arabidopsis (Arabidopsis thaliana). Here, we present the genome sequence of G. gynandra, anchored onto 17 main pseudomolecules with a total length of 740 Mb, an N50 of 42 Mb and 30,933 well-supported gene models. The G. gynandra genome and previously released genomes of C3 relatives in the Cleomaceae and Brassicaceae make an excellent model for studying the role of genome evolution in the transition from C3 to C4 photosynthesis. Our analyses revealed that G. gynandra and its C3 relative Tarenaya hassleriana shared a whole-genome duplication event (Gg-α), then an addition of a third genome (Th-α, +1×) took place in T. hassleriana but not in G. gynandra. Analysis of syntenic copy number of C4 photosynthesis-related gene families indicates that G. gynandra generally retained more duplicated copies of these genes than C3T. hassleriana, and also that the G. gynandra C4 genes might have been under positive selection pressure. Both whole-genome and single-gene duplication were found to contribute to the expansion of the aforementioned gene families in G. gynandra. Collectively, this study enhances our understanding of the polyploidy history, gene duplication and retention, as well as their impact on the evolution of C4 photosynthesis in Cleomaceae.
Tag: genomes
Genome-Wide Association Mapping of Oil Content and Seed-Related Traits in Shea Tree (Vitellaria paradoxa subsp. nilotica) Populations
Shea tree (Vitellaria paradoxa) is an important fruit tree crop because of its oil used for cooking and the industrial manufacture of cosmetics. Despite its essential benefits, quantitative trait loci linked to the economic traits have not yet been studied. In this study, we performed association mapping on a panel of 374 shea tree accessions using 7530 Single-Nucleotide Polymorphisms (SNPs) markers for oil yield and seed-related traits. Twenty-three SNP markers significantly (−log10 (p) = 4.87) associated with kernel oil content, kernel length, width, and weight were identified. The kernel oil content and kernel width had the most significant marker–trait associations (MTAs) on chromosomes 1 and 8, respectively. Sixteen candidate genes identified were linked to early induction of flower buds and somatic embryos, seed growth and development, substrate binding, transport, lipid biosynthesis, metabolic processes during seed germination, and disease resistance and abiotic stress adaptation. The presence of these genes suggests their role in promoting bioactive functions that condition high oil synthesis in shea seeds. This study provides insights into the important marker-linked seed traits and the genes controlling them, useful for molecular breeding for improving oil yield in the species.
Genome-wide association analysis of Mexican bread wheat landraces for resistance to yellow and stem rust
Deploying under-utilized landraces in wheat breeding has been advocated to accelerate genetic gains in current era of genomics assisted breeding. Mexican bread wheat landraces (Creole wheats) represent an important resource for the discovery of novel alleles including disease resistance. A core set of 1,098 Mexican landraces was subjected to multi-location testing for rust diseases in India, Mexico and Kenya. The landrace core set showed a continuous variation for yellow (YR) and stem rust (SR) disease severity. Principal component analysis differentiated Mexican landraces into three groups based on their respective collection sites. Linkage disequilibrium (LD) decay varied from 10 to 32 Mb across chromosomes with an averge of 23Mb across whole genome. Genome-wide association analysis revealed marker-trait associations for YR resistance in India and Mexico as well as for SR resistance in Kenya. In addition, significant additive-additive interaction effects were observed for both YR and SR resistance including genomic regions on chromosomes 1BL and 3BS, which co-locate with pleiotropic genes Yr29/Lr46/Sr58/Pm39/Ltn2 and Sr2/Yr30/Lr27, respectively. Study reports novel genomic associations for YR (chromosomes 1AL, 2BS, and 3BL) and SR (chromosomes 2AL, 4DS, and 5DS). The novel findings in Creole wheat landraces can be efficiently utilized for the wheat genetic improvement. Copyright:
Intraspecific variation within Castor bean (Ricinus communis L.) based on chloroplast genomes
The high usage of castor oil in industrial applications and bio-diesel production has led to an increase in castor bean (Ricinus communis L.) cultivation in many countries. Wild species present a source of genetic variation for germplasm improvement, often important because of their adaptation to a wide range of habitats and stresses. Chloroplast genomes are widely used in population genetics and evolutionary studies. Herein, we carried out plastome genome sequencing of 20 wild and cultivated castor bean accessions to examine plastome structural variations (PSVs). Further, single nucleotide polymorphisms (SNPs) and insertions and deletions (InDels), were identified and plastome sequences used to infer phylogenetic relationships. All the chloroplast genomes were quadripartite, with a length between 162,673 bp and 163,210 bp, with 112 genes (78 protein coding genes; PCGs, 30 tRNAs, and four rRNAs). The chloroplast genomes where conserved in terms of structure and content, with no significant PSVs detected except for a slight inverted repeat (IR) contraction in one accession. A total of 162 SNPs and 92 InDels were uncovered across the plastomes, with an average SNP and InDel density of 0.99 and 0.56 per kb respectively. Some of the non-synonymous mutations caused amino acid changes in functional domains. Intergenic spacers trnE-UUC-trnT-GGU and AccD-psaI were identified as potential barcoding regions. The phylogenetic analyses and neighbor-joining network supported three distinct lineages in castor bean. Genetic diversity was greater in one clade than the other, with implications for identifying adaptive germplasm in the wild. These results demonstrate the genetic variations and phylogenetic relationships between the wild and cultivated lineages and add insights into the origin of cultivation and spread of castor bean.
Status of perennial tree germplasm resources in India and their utilization in the context of global genome sequencing efforts
Tree species are characterized by their perennial growth habit, woody morphology, long juvenile period phase, mostly outcrossing behaviour, highly heterozygosity genetic makeup, and relatively high genetic diversity. The economically important trees have been an integral part of the human life system due to their provision of timber, fruit, fodder, and medicinal and/or health benefits. Despite its widespread application in agriculture, industrial and medicinal values, the molecular aspects of key economic traits of many tree species remain largely unexplored. Over the past two decades, research on forest tree genomics has generally lagged behind that of other agronomic crops. Genomic research on trees is motivated by the need to support genetic improvement programmes mostly for food trees and timber, and develop diagnostic tools to assist in recommendation for optimum conservation, restoration and management of natural populations. Research on long-lived woody perennials is extending our molecular knowledge and understanding of complex life histories and adaptations to the environment, enriching a field that has traditionally drawn its biological inference from a few short-lived herbaceous species. These concerns have fostered research aimed at deciphering the genomic basis of complex traits that are related to the adaptive value of trees. This review summarizes the highlights of tree genomics and offers some priorities for accelerating progress in the next decade.
Genomic evaluation for breeding and genetic management in Cordia africana, a multipurpose tropical tree species
Planting tested forest reproductive material is crucial to ensure the increased resilience of intensively managed productive stands for timber and wood product markets under climate change scenarios. Single-step Genomic Best Linear Unbiased Prediction (ssGBLUP) analysis is a cost-effective option for using genomic tools to enhance the accuracy of predicted breeding values and genetic parameter estimation in forest tree species. Here, we tested the efficiency of ssGBLUP in a tropical multipurpose tree species, Cordia africana, by partial population genotyping. A total of 8070 trees from three breeding seedling orchards (BSOs) were phenotyped for height. We genotyped 6.1% of the phenotyped individuals with 4373 single nucleotide polymorphisms. The results of ssGBLUP were compared with pedigree-based best linear unbiased prediction (ABLUP) and genomic best linear unbiased prediction (GBLUP), based on genetic parameters, theoretical accuracy of breeding values, selection candidate ranking, genetic gain, and predictive accuracy and prediction bias. Genotyping a subset of the study population provided insights into the level of relatedness in BSOs, allowing better genetic management. Due to the inbreeding detected within the genotyped provenances, we estimated genetic parameters both with and without accounting for inbreeding. The ssGBLUP model showed improved performance in terms of additive genetic variance and theoretical breeding value accuracy. Similarly, ssGBLUP showed improved predictive accuracy and lower bias than the pedigree-based relationship matrix (ABLUP). This study of C. africana, a species in decline due to deforestation and selective logging, revealed inbreeding depression. The provenance exhibiting the highest level of inbreeding had the poorest overall performance. The use of different relationship matrices and accounting for inbreeding did not substantially affect the ranking of candidate individuals. This is the first study of this approach in a tropical multipurpose tree species, and the analysed BSOs represent the primary effort to breed C. africana.
Genome Wide Identification of the MLO Gene Family Associated with Powdery Mildew Resistance in Rubber Trees (Hevea brasiliensis)
Powdery mildew (PM) is one of the most destructive diseases affecting rubber trees (Hevea brasiliensis), leading to severe yield losses. Sulfur dusting is used to control the propagation of the disease, and no specific fungicides have been developed yet. Therefore, identification of genetic level disease resistance in the rubber trees is very crucial. In this study, we describe the whole-genome sequencing of a PM resistant rubber clone, RRIC 52, as well as a PM susceptible clone, PB 235, using massively parallel paired-end sequencing. The MLO (mildew resistance locus O) genes were identified and analyzed for their structural features, and the variations were compared in the MLO gene family between the two clones. Sequencing results showed that RRIC 52 contained 4,280,477 SNPs and 400,667 InDels, while PB 235 contained 3,651,524 SNPs and 318,899 InDels. We identified 34 MLO genes (HbMLO 1 to 34) in the rubber genome. Multiple sequence alignment identified the conserved MLO domain and its TM domain in all HbMLO proteins. Sequence analysis identified non-synonymous variations (NSVs) in 12 HbMLO proteins. Phylogenetic analysis of the HBMLO genes revealed seven different clades. Six HbMLO genes in Clade V were orthologous to Arabidopsis genes where PM interaction was previously identified. The outcomes of this study widen the understanding of the MLO gene family, which can be used in breeding disease resistant rubber varieties in the future.