Single Sequence Repeat Markers Research Articles

Quantitative Trait Loci Mapping Identified Candidate Genes Involved in Plant Height Regulation in Rice

Rice plant height is an agricultural trait closely related to biomass, lodging tolerance, and yield. Identifying quantitative trait loci (QTL) regions related to plant height regulation and developing strategies to screen potential candidate genes can improve agricultural traits in rice. In this study, a double haploid population (CNDH), derived by crossing ‘Cheongcheong’ and ‘Nagdong’ individuals, was used, and a genetic map was constructed with 222 single-sequence repeat markers. In the RM3482-RM212 region on chromosome 1, qPh1, qPh1-1, qPh1-3, qPh1-5, and qPh1-6 were identified for five consecutive years. The phenotypic variance explained ranged from 9.3% to 13.1%, and the LOD score ranged between 3.6 and 17.6. OsPHq1, a candidate gene related to plant height regulation, was screened in RM3482-RM212. OsPHq1 is an ortholog of gibberellin 20 oxidase 2, and its haplotype was distinguished by nine SNPs. Plants were divided into two groups based on their height, and tall and short plants were distinguished and clustered according to the expression level of OsPHq1. QTLs and candidate genes related to plant height regulation, and thus, biomass regulation, were screened and identified in this study, but the molecular mechanism of the regulation remains poorly known. The information obtained in this study will help develop molecular markers for marker-assisted selection and breeding through rice plant height control.

Assessment of genetic variation among wheat genotypes for drought tolerance utilizing microsatellite markers and morpho-physiological characteristics

Drought is a major abiotic stress that severely limits sustainable wheat (Triticum aestivum L.) productivity via morphological and physio-biochemical alterations of cellular processes. The complex nature and polygenic control of drought tolerance traits make breeding tolerant genotypes quite challenging. However, naturally occurring variabilities among wheat germplasm resources could potentially help combating drought. The present study was conducted to assess the drought tolerance of 18 Bangladeshi hexaploid wheat genotypes, focusing on the identification of potent sources of diversity by combining microsatellite markers, also known as single sequence repeat markers, and morpho-physiological characteristics that might help accelerating wheat crop improvement programs. Initially, the genotypes were evaluated using 25 microsatellite markers followed by an on-field evaluation of 7 morphological traits (plant height, spike number, spike length, grains per spike, 1000-grain weight, grain yield, biological yield) and 6 physiological traits (SPAD value, membrane stability index, leaf relative water content, proline content, canopy temperature depression, and leaf K+ ion content). The field-trial was conducted in a factorial fashion of 18 wheat genotypes and two water regimes (control and drought) following a split-plot randomized complete block design. Regardless of genotype, drought was significantly damaging for all the tested traits; however, substantial variability in drought stress tolerance was evident among the genotypes. Spike length, 1000-grain weight, SPAD value, leaf relative water content, canopy temperature depression, proline content, and potassium (K+) ion content were the most representative of drought-induced growth and yield impairments and also correlated well with the contrasting ability of genotypic tolerance. Microsatellite markers amplified 244 alleles exhibiting 79% genetic diversity. Out of 25 markers, 23 was highly polymorphic showing 77% average polymorphism. Morpho-physiological trait-based hierarchical clustering and microsatellite marker-based neighbor-jointing clustering both revealed three genotypic clusters with 71% co-linearity between them. In both cases, the genotypes Kanchan, BAW-1147, BINA Gom 1, BARI Gom 22, BARI Gom 26, and BARI Gom 33 were found to be comparatively more tolerant than the other tested genotypes, showing potential for cultivation in water-deficit environments. The findings of this study would contribute to the present understanding of drought tolerance in wheat and would provide a basis for future genotype selection for drought-tolerant wheat breeding programs.

Deciphering Early Movements and Domestication of Coffea arabica through a Comprehensive Genetic Diversity Study Covering Ethiopia and Yemen

The coffee species Coffea arabica is facing numerous challenges regarding climate change, pests and disease pressure. Improved varieties will be part of the solution. Making optimal use of the scarce genetic diversity of the species is hence essential. In this paper, we present the first study of C. arabica genetic diversity covering its complete native habitat in Ethiopia together with its main domestication centers: Yemen and Hararghe region in Ethiopia. All in all, 555 samples were analyzed with a set of Single Sequence Repeat markers. Through admixture genetic analysis, six clusters were identified. A total of two “Core Ethiopian” clusters did not participate in the domestication of the species. There were four clusters that were part of the “Domestication Pathway” of C. arabica. The first one was named “Ethiopian Legacy” as it represents the genetic link between “Core Ethiopia” and the “Domestication Pathway” in Yemen and Hararghe. The geographic origin of this cluster in Ethiopia was the south of Ethiopia, namely Gedio, Guji and Sidama, which hence appears as the source of coffee seeds that led to the domestication of C. arabica. In Yemen, in addition to the “Ethiopian Legacy” cluster, we confirmed the “Typica/Bourbon” and “New-Yemen” clusters. In Hararghe, the “Harrar” cluster, never described before, likely originates from a re-introduction of domesticated coffee from Yemen into this region of Ethiopia. Cultivated varieties around the world today originate from the “Ethiopian Legacy” and “Typica/Bourbon” clusters and but none are related to the “new-Yemen” and “Harrar” clusters. Implications for breeding strategies are discussed.

Horticultural Performance of Field Grown Somaclones and Irradiated Strawberry (Fragaria × Ananassa Duch.)Variants

In the present investigation horticultural performances of field grown somaclones and gamma irradiated strawberry were studied. The somaclones performed better with regard to vegetative and reproductive characters while axillary buds irradiated with lower dose of gamma rays (10 and 30 Gy) were more vigorous in terms of number of leaves and petiole length. Whereasaxillary buds irradiated with higher dose of gamma rays (50 and 60 Gy) showed abnormal fruit development, reduced growth, small leaf area and fruit size. A total of six variants were obtained on screening the somaclones and irradiated plantlets on the basis of phenotypic characters, fruiting characters and Single Sequence Repeat (SSR) markers. The frequency of variants was higher (3.22%) in soamclones than in irradiated plants (2.75%) obtained from axillary buds. These finding would be helpful in providing a powerful technological tool for the improvement of clonally propagated crops. Bangladesh J. Bot. 51(3): 555-563, 2022 (September)

Development and verification of SSR markers from drought stress-responsive miRNAs in Dongxiang wild rice (Oryza rufipogon Griff.).

Rice production worldwide has continued to decline due to various environmental stresses, with drought stress being a prominent factor, as rice is a semi-aquatic plant. Thus, development of drought stress-resistant rice varieties is of great importance for rice production. In our previous study, we found that microRNAs (miRNAs) play a crucial role in the response to drought stress in Dongxiang wild rice (DXWR) (Oryza rufipogon Griff.). Developing drought stress-responsive miRNA-based single sequence repeat (SSR) markers for DXWR will be of great value for the efficient identification and utilization of miRNA genes to breed drought stress-resistant rice varieties. In this study, ninety-nine novel SSR markers were developed based on the drought stress-responsive miRNAs of DXWR. These markers were distributed in all 12 rice chromosomes, and most were in chromosomes 2 and 6, with di- and tri-nucleotides being the most abundant repeat motifs. Twelve out of fourteen synthesized markers displayed high levels of genetic diversity in the genomes of three populations of DXWR and 40 modern rice varieties worldwide. The number of alleles per locus ranged from 2 to 7, with an average of 4.67; the genetic diversity index ranged from 0.21 to 0.76, with an average of 0.58; and the polymorphism information content value ranged from 0.18 to 0.72, with an average of 0.53. These novel molecular markers developed from the drought stress-responsive miRNAs of DXWR could be additional tools for mapping elite miRNA genes and breeding drought stress-resistant rice varieties.

Identification and Validation of a Major Quantitative Trait Locus for Adult Plant Resistance Against Leaf Rust From the Chinese Wheat Landrace Bai Qimai.

Leaf rust caused by Puccinia triticina Eriks. (Pt) is a common disease of wheat worldwide. The Chinese wheat landrace Bai Qimai (BQM) has shown high resistance to leaf rust for a prolonged period of time; the infected leaves of BQM displayed high infection types (ITs), but they showed low disease severities at the adult plant stage. To find quantitative trait loci (QTL) for resistance to leaf rust, 186 recombinant inbred lines from the cross Nugaines × BQM were phenotyped for leaf rust response in multiple field environments under natural Pt infections and genotyped using the 90K wheat single nucleotide polymorphism (SNP) chip and simple sequence repeat (SSR) markers. A total of 2,397 polymorphic markers were used for QTL mapping, and a novel major QTL (QLr.cau-6DL) was detected on chromosome 6DL from BQM. The effectiveness of QLr.cau-6DL was validated using the three additional wheat populations (RL6058 × BQM, Aikang58 × BQM, and Jimai22 × BQM). QLr.cau-6DL could significantly reduce leaf rust severities across all tested environments and different genetic backgrounds, and its resistance was more effective than that of Lr34. Moreover, QLr.cau-6DL acted synergistically with Lr34 to confer strong resistance to leaf rust. We believe that QLr.cau-6DL should have high potential value in the breeding of wheat cultivars with leaf rust resistance.

Identification of candidate genes involved in salt stress response at germination and seedling stages by QTL mapping in upland cotton.

Salinity is a major abiotic stress at critical stages of seed germination and seedling establishment. Germination rate (GR) and field emergence rate (FER) are the key traits that determine the basic number of plants stand under field conditions. To explore molecular mechanisms in upland cotton under salt stress, a population of 177 recombinant inbred lines, and their parents were evaluated for seed germination traits (GP, germination potential; GR; FW, fresh weight; DW, dry weight; GL, germinal length) and seedling traits (FER; SH, seedling height; NL, number of main stem leaves) in 2016–2018. Based on the linkage map contained 2,859 single nucleotide polymorphism and simple sequence repeat markers, traits under salt stress (E1) and normal conditions (E2), and in the converted relative index (R-value) dataset of 3 years’ trials were used to map quantitative trait loci (QTL). A total of 3 QTL and 2 clusters were detected as salt-tolerant QTL. Three QTL (qGR-Chr4-3, qFER-Chr12-3, and qFER-Chr15-1) were detected under salt stress conditions and R-value dataset, which explained variance of phenotype 9.62–13.67%, and 4.2–4.72%, 4.75–8.96%, respectively. Two clusters (Loci-Chr4-2 and Loci-Chr5-4) harboring the QTL for 4 germination traits (GR, FER, GL, and NL) and 6 seedling traits (GR, FER, DW, FW, SH, and NL) were detected related under salt stress. A total of 691 genes were found in the candidate QTL or clusters. Among them, 4 genes (Gh_A04G1106, Gh_A05G3246, Gh_A05G3177, and Gh_A05G3266) showed expression differences between salt-sensitive and -tolerant lines under salt stress conditions, and were assigned as candidate genes in response to salt stress. The consistent salt-tolerance QTL identified in both germination and seedling stages will facilitate novel insights into effective utilization of cotton genetic resources.

Detection of a major QTL and development of KASP markers for seed weight by combining QTL-seq, QTL-mapping and RNA-seq in peanut.

Combining QTL-seq, QTL-mapping and RNA-seq identified a major QTL and candidate genes, which contributed to the development of KASP markers and understanding of molecularmechanisms associated with seed weight in peanut. Seed weight, as an important component of seed yield, is a significant target of peanut breeding. However, relatively little is known about the quantitative trait loci (QTLs) and candidate genes associated with seed weight in peanut. In this study, three major QTLs on chromosomes A05, B02, and B06 were determined by applying the QTL-seq approach in a recombinant inbred line (RIL) population. Based on conventional QTL-mapping, these three QTL regions were successfully narrowed down through newly developed single nucleotide polymorphism (SNP) and simple sequence repeat markers. Among these three QTL regions, qSWB06.3 exhibited stable expression, contributing mainly to phenotypic variance across environments. Furthermore, differentially expressed genes (DEGs) were identified at the three seed developmental stages between the two parents of the RIL population. It was found that the DEGs were widely distributed in the ubiquitin-proteasome pathway, the serine/threonine-protein pathway, signal transduction of hormones and transcription factors. Notably, DEGs at the early stage were mostly involved in regulating cell division, whereas DEGs at the middle and late stages were primarily involved in cell expansion during seed development. The expression patterns of candidate genes related to seed weight in qSWB06.3 were investigated using quantitative real-time PCR. In addition, the allelic diversity of qSWB06.3 was investigated in peanut germplasm accessions. The marker Ah011475 has higher efficiency for discriminating accessions with different seed weights, and it would be useful as a diagnostic marker in marker-assisted breeding. This study provided insights into the genetic and molecularmechanisms of seed weight in peanut.

Assessment of the Breeding Potential of a Set of Genotypes Selected from a Natural Population of Akebia trifoliata (Three–Leaf Akebia)

Akebia trifoliata (three-leaf akebia) has long been used as a medicinal herb and has the potential to be used in diverse ways, especially as a fruit crop. However, efforts to domesticate and cultivate new varieties for commercial use are only in their infancy. Here, we evaluated the genetic diversity of 29 genotypes, which were previously selected from a natural population consisting of 1447 genotypes and exhibiting high resistance to fungal diseases and a smooth peel of A. trifoliata using 85 genome-specific single sequence repeat (SSR) markers. We also characterized variation in 19 phenotypic traits and nutritional components. Large variation in phenotypic traits and nutritional components was observed, especially in vitamin C, seed/pulp, and fruit color. Correlation analyses revealed that many phenotypic traits and nutritional components were significantly correlated. A principal component analysis identified five principal components, which explained 83.2% of the total variation in the data. The results of the SSR analysis revealed that 80 of the 85 SSR markers were polymorphic; the total number of alleles amplified was 532. The expected heterozygosity was 0.672, and Shannon’s information index was 1.328. A Ward dendrogram and unweighted pair group method with arithmetic mean dendrogram revealed high diversity among the 29 genotypes and suggested that the measured morphological and nutritional traits were genetically independent of disease resistance and texture traits, as well as SSR marker loci. Finally, our results suggest that additional rounds of selection from the selected population, despite its small size, could be effective for the development of new A. trifoliata fruit cultivars.

Analysis of single nucleotide polymorphism and simple sequence repeat markers for the estimates of genetic diversity by using two oilseed Brassica napus populations carrying genome contents of Brassica oleracea

Reliable estimates of genetic diversity among the accessions in a breeding population is important knowledge for use in breeding. Among the different types of molecular markers, single nucleotide polymorphism (SNP) and simple sequence repeat (SSR) are largely used by breeders; however, our knowledge of the reliability of the estimates of genetic diversity based on these two types of markers in multiple populations is limited. In this study, a doubled haploid (DH) and an inbred population developed from Brassica napus × Brassica oleracea interspecific crosses were used for comparative analysis of these two types of markers. The estimates based on SNP and SSR markers showed a stronger correlation in the inbred population which was expected to carry greater genetic diversity as compared to the DH population. This inference was also evident from the analysis of different diversity groups (least, intermediate, and most similar) of these two populations for significant difference between the groups for six agronomic and seed quality traits, where this analysis failed to differentiate the diversity groups of the DH population for any of the traits. However, both marker types could differentiate the diversity groups of the inbred population for several traits. Furthermore, the six sub-populations of the inbred population could also be differentiated by both marker types. Thus, the results demonstrate the greater utility of the SSR and SNP markers in a genetically diverse population. This knowledge can be used while grouping a breeding population for diversity groups; however, caution needs to be taken while using the markers in a genetically narrow population.

Fruit cracking and firmness DNA test development and evaluation in sweet cherry

One application of DNA-informed breeding, which has potential to increase the effectiveness of traditional breeding methods, is the use of DNA-based diagnostic tests to estimate genetic potential of breeding individuals. In sweet cherry (<italic>Prunus avium</italic> L.), cracked or soft fruit are major industry challenges. Recent research detected two quantitative trait loci (QTLs) for fruit cracking and firmness differing in trait levels associated with QTL haplotypic variation. Also, a DNA test for cracking (Pav-G5Crack-SSR), using a single simple sequence repeat (SSR) marker, was previously developed but not yet validated on breeding germplasm. In addition to SSR markers, single nucleotide polymorphism (SNP) markers can be used for developing locus-specific DNA tests and run as simple assays such as high-resolution melting (HRM). The objective of this research was to develop and evaluate the predictiveness of DNA tests for fruit cracking and firmness in sweet cherry. Unselected seedlings from pedigree-connected families were screened with the Pav-G5Crack-SSR DNA test. DNA tests were also created from four SNP markers with HRM assays, using two years of cracking and firmness data for evaluation. Pav-G5Crack-SSR explained 12–15% of the cracking phenotypic variance, while Pav-G1Crack-SNP and Pav-G5Crack-SNP (which targeted the same QTL as Pav-G5Crack-SSR) together explained 16–30% of the cracking phenotypic variance. Pav-G1Firm-SNP and Pav-G3Firm-SNP together explained 22–28% of the firmness phenotypic variance. All three DNA tests can be implemented in breeding programs to enhance effectiveness in breeding for decreased cracking incidence and increased fruit firmness in sweet cherry.

Transfer of fusarium head blight resistance from Thinopyrum elongatum to bread wheat cultivar Chinese Spring

The diploid form of tall wheatgrass, Thinopyrum elongatum (Host) D.R. Dewey (2n = 2x = 14, EE genome), has a high level of resistance to fusarium head blight. The symptoms did not spread beyond the inoculated florets following point inoculation. Using a series of E-genome chromosome additions in a bread wheat cultivar Chinese Spring (CS) background, the resistance was found to be localized to the long arm of chromosome 7E. The CS mutant ph1b was used to induce recombination between chromosome 7E, present in the 7E(7D) substitution and homoeologous wheat chromosomes. Multivalent chromosome associations were detected in the BC1 hybrids, confirming the effectiveness of the ph1b mutant. Genetic markers specific for chromosome 7E were used to estimate the size of the 7E introgression in the wheat genome. Using single sequence repeat (SSR) markers specific for homoeologous wheat chromosome 7, introgressions were detected on wheat chromosomes 7A, 7B, and 7D. Some of the introgression lines were resistant to fusarium head blight.

Determination of inheritance of aphid resistance in cowpea genotypes and identification of single sequence repeat markers linked to resistance genes

AbstractAn understanding of the mode of inheritance is fundamental to plant breeding. The choice of an appropriate selection method considers the number of genes involved and their modes of action. In plant breeding, markers can overcome the false resistance that may arise from greenhouse screening. The goal of this study was to facilitate the better use of cowpea genotypes resistant to aphids. Specifically, we sought to determine the number of genes involved in the ability of cowpeas to survive aphid infestation and identify single sequence repeat (SSR) markers linked to aphid resistance genes. Two pairs of parents (Tiligre × KVX295‐124‐2‐99 and Tiligre × IT97K556‐6) were used to generate two F2 populations. Each of these populations was screened with aphids to determine the mode of inheritance of resistance to aphids in cowpeas. SSR markers were used to screen parent, F1, and F2 individuals to locate polymorphic markers and markers linked to the genes involved in resistance to aphids. The results showed that the ability to survive under aphid infestation in KVX295‐2‐124‐99 and IT97K556‐6 is controlled by two nonallelic genes. The markers MA61 and MA70 were found linked to aphid resistance in cowpea.

Phylogeography and Antioxidant Activity of Proso Millet (Panicum miliaceum L.).

Proso millet (Panicum miliaceum L.) or broomcorn millet is among the most important food crops to be domesticated by humans; it is widely distributed in America, Europe, and Asia. In this study, we genotyped 578 accessions of P. miliaceum using 37 single-sequence repeat (SSR) markers, to study the genetic diversity and population structure of each accession. We also investigated total phenolic content (TPC) and superoxide dismutase (SOD) activity and performed association analysis using SSR markers. The results showed that genetic diversity and genetic distance were related to geographic location and the fixation index (Fst). Population structure analysis divided the population into three subpopulations. Based on 3 subpopulations, the population is divided into six clusters in consideration of geographical distribution characteristics and agronomic traits. Based on the genetic diversity, population structure, pairwise Fst, and gene flow analyses, we described the topological structure of the six proso millet subpopulations, and the geographic distribution and migration of each cluster. Comparison of the published cluster (cluster 1) with unique germplasms in Japan and South Korea suggested Turkey as a possible secondary center of origin and domestication (cluster 3) for the cluster. We also discovered a cluster domesticated in Nepal (cluster 6) that is adapted to high-latitude and high-altitude cultivation conditions. Differences in phenotypic characteristics, such as TPC, were observed between the clusters. The association analysis showed that TPC was associated with SSR-31, which explained 7.1% of the total variance, respectively. The development of markers associated with TPC and SOD will provide breeders with new tools to improve the quality of proso millet through marker-assisted selection.

High density genetic mapping of stripe rust resistance in a ‘Strongfield’ / ‘Blackbird’ durum wheat population

Resistance breeding is an effective strategy against wheat stripe (yellow) rust caused by Puccinia striiformis f. sp. tritici (Pst). To identify and map quantitative trait loci (QTL) associated with stripe rust resistance, a durum wheat doubled haploid population (n = 87) derived from ‘Strongfield/Blackbird’ was evaluated for disease severity near Toluca, Mexico (2017–2019) and Lethbridge, Canada (2016–2019). The population was genotyped with the wheat 90 K Illumina iSelect single nucleotide polymorphism (SNP) array and simple sequence repeat (SSR) markers, and QTL analysis was performed with MapQTL 6. We identified stripe rust-resistance QTL contributed by ‘Blackbird’ on chromosomes 3A (2 loci, designated QYr.spa-3A.1, QYr.spa-3A.2) and 5B (QYr.spa-5B), and ‘Strongfield’ on 2B (QYr.spa-2B). All seem to represent QTL not reported previously. The QYr.spa-3A.2 was most consistently effective against Pst races across the Lethbridge and Toluca nurseries. With a LOD value of 4.9, QYr.spa-3A.2 explained a maximum phenotypic variation of 22.7% observed at the Toluca 2019 nursery. The QYr.spa-2B from ‘Strongfield’ and QYr.spa-3A.1 from ‘Blackbird’ expressed in multiple years at Toluca but were not detected at Lethbridge. QYr.spa-5B was identified in the Lethbridge 2016 environment. The identified QTL should be valuable in diversifying resistance genes used in breeding durum wheat cultivars with stripe rust resistance. ‘Blackbird’ was particularly useful for introducing the new QTL QYr.spa-3A.2 resistance that is effective in Canada and Mexico into traditional durum wheat germplasm. SNP markers associated with QTL will have application in marker-assisted breeding of resistance to Pst in durum wheat.

Genetic diversity of common bean (Phaseolus vulgaris L.) germplasm from Serbia, as revealed by single sequence repeats (SSR)

Genetic diversity and structure of common bean (Phaseolus vulgaris L.) germplasm from Serbia, comprising 118 landraces and 18 cultivars, was assessed with the application of 27 Single Sequence Repeats (SSR) markers. Thirteen accessions from Agricultural Institute of Slovenia were used as references for gene pool determination. Main parameters of genetic diversity were calculated for each SSR loci, i.e. number of different and rare alleles, number of effective alleles, Shannon's information index, observed and expected heterozygosity and polymorphic information content. A total of 445 allelic variants, with 16.5 alleles per locus on average, were detected. Mean gene diversity (He = 0.79) indicated sufficient reservoir of genetic variation preserved in studied bean germplasm. Landraces displayed higher variability compared to cultivars (405 in relation to 233 allelic variants). Genetic structure and relatedness of accessions was assessed by model-based method and hierarchical clustering method in combination with genetic distance calculation. The Bayesian clustering model implemented in STRUCTURE software, on the primary level (K = 2), revealed clear separation of accessions into two groups, corresponding to gene pool affiliation. Mesoamerican gene pool (M) was represented with 23.5% of accessions, while Andean (A) was larger, composed of 68.4% of studied germplasm. Small group (8.1%) showed admixed genetic structure between two gene pools. Additional variation in respect to two recognized gene pools was revealed (K = 3), whose basis was acknowledged to be within Andean gene pool. Further subdivision of accessions (K = 8), mainly according to the seed forms, was observed. Genetic distance analysis associated with Neighbour-joining clustering method revealed grouping pattern of landraces and cultivars corresponding to the gene pool and their seed phenotypes. Classification and structuring of the bean accessions according to and beyond the gene pool of origin should facilitate conservation strategies and breeding of this material. Combining the information of phenotypic variation obtained in previous research and molecular data reveled in this study will assist in selection of parental components for breeding, or in the choice of smaller sample in order to further acknowledge their breeding value. In addition, obtained results of this work should serve as an additional information on common bean germplasm variation in Western Balkans and beyond, in Europe.

QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time.

Timely flowering is important for seed formation and maximization of rapeseed (Brassica napus) yield. Here, we performed flowering-time quantitative trait loci (QTL) mapping using a double haploid (DH) population grown in three environments to study the genetic architecture. Brassica 60 K Illumina Infinium™ single nucleotide polymorphism (SNP) array and simple sequence repeat (SSR) markers were used for genotyping of the DH population, and a high-density genetic linkage map was constructed. QTL analysis of flowering time from the three environments revealed five consensus QTLs, including two major QTLs. A major QTL located on chromosome A03 was detected specifically in the semi-winter rapeseed growing region, and the one on chromosome C08 was detected in all environments. Ribonucleic acid sequencing (RNA-seq) was performed on the parents’ leaves at seven time-points in a day to determine differentially expressed genes (DEGs). The biological processes and pathways with significant enrichment of DEGs were obtained. The DEGs in the QTL intervals were analyzed, and four flowering time-related candidate genes were found. These results lay a foundation for the genetic regulation of rapeseed flowering time and create a rapeseed gene expression library for seven time-points in a day.

Combining ability and genetic divergence among tropical maize inbred lines using SSR markers

Our objectives were to evaluate general and specific combining ability (SCA) and genetic divergence among tropical maize inbred lines using single sequence repeat (SSR) markers. Thirteen inbred lines were crossed based on a complete diallel scheme. Hybrids and three checks were evaluated in a lattice experimental design. Silk and anthesis flowering, average plant height, average ear height, white spot (Pantoea ananatis) and gray leaf spot (Cercospora zeae-maydis) severity, and grain yield were evaluated. Significant differences (p &lt; 0.05) for general and specific combining abilities were observed for all traits. Based on additive effects, inbred lines 1 (Flash) and 12 (SG 6015) were selected to reduce the flowering period and plant and ear height. Inbred lines 2 (CD 303) and 3 (AG 8080) were selected to reduce disease severity. For the simultaneous increase in grain yield and reduced severity of diseases, line 11 (AG 9090) as a parent or tester in topcross schemes is recommended. According to non-additive effects, crosses 2 (CD 303) × 13 (DKB 747) and 11 (AG 9090) × 12 (SG 6015) were selected for grain yield and future breeding programs. Six groups were identified using SSR markers; a major group contained six inbred lines. Because of the minor relationship between genetic divergence and SCA effects on grain yield limits, the use of the groups for future divergent crosses is recommended.

Genomics‐assisted lentil breeding: Current status and future strategies

AbstractGenomics‐assisted breeding has become a powerful tool to develop high‐yielding climate‐resilient varieties for adaptation to adverse environmental conditions such as heat and drought stresses. Previously, efforts have been made to develop genomic resources in lentil, leading to the development of many trait‐specific mapping populations, cores and mini‐cores, and single nucleotide polymorphism and simple sequence repeat markers. Molecular markers have been used in genetic diversity analyses and to clarify genetic relationships in lentil. However, availability of cost‐effective next‐generation sequencing and genotyping‐by‐sequencing technologies has provided unprecedented opportunities for advancing genetics research and breeding applications. For instance, it has become possible to assemble the large and complex genome, develop high‐density genetic maps for high‐resolution QTL mapping, and deploy genome‐wide association study in lentil. Furthermore, a range of cost‐effective marker genotyping platforms have been developed. These developments offer ample opportunities to modernize current breeding programs in lentil for accelerating genetic gains. This review discusses the current status and future possibilities of genomics‐assisted breeding to develop and deploy lentil cultivars suitable for changing climatic conditions.

SSR Marker based Molecular Screening of Blast Resistant Genes in selected Rice genotypes

Rice blast caused by Magnaporthe oryzae is one of the most devastating disease causing major yield losses worldwide in every year. Use of resistant rice varieties is one of the most effective ways to control the disease and reduce yield loss. Molecular screening and allelic diversity of major rice blast resistant genes were determined in forty-eight (48) genotypes of rice germplasms of Bangladesh with ten (10) previously synthesized gene based SSR (Single Sequence Repeats) markers [RM 541, RM 224, RM21, RM527, RM 208, RM 247,RM 72, RM 259, RM 246 & RM 206]. The genetic frequencies of ten (10) major blast resistance genes (Pi-9, Pi-1, Pi-5(t), Piz-5, Pi-b, Pi-b, Pi-ta, Pi-33, Pi27(t), Pitp(t) and Pi-kh) were ranged from 2% to 93%. The blast resistance gene Pi-kh was widely (93%) and Pi5 (2%) was sparsely distributed among the studied genotypes. Nine (9) genotypes sonaanjana, jabedshail, karaja, pajon, IR-09, BAU 39, binni, katiabagdad and kataribhug, had maximum eight (8) blast resistance genes and only one BRRIdhan 46 had minimum two (2) blast resistance genes. Twelve genotypes possessed seven, twelve had six, seven had five and five had four resistant genes. Out of forty-eight (48) genotypes, forty-five (45) genotypes occupied at least five (5) positive fragments of expected product size. Allelic diversity was also found among the rice genotypes for different blast resistance genes.