scholarly journals Genomics-assisted breeding for drought tolerance in chickpea

2014 ◽  
Vol 41 (11) ◽  
pp. 1178 ◽  
Author(s):  
Mahendar Thudi ◽  
Pooran M. Gaur ◽  
Lakshmanan Krishnamurthy ◽  
Reyazul R. Mir ◽  
Himabindu Kudapa ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Large Scale ◽  
Recurrent Selection ◽  
Sequence Data ◽  
Crop Improvement ◽  
Draft Genome ◽  
High Density ◽  
Genetic Maps ◽  
Marker Assisted Backcrossing ◽  
Mapping Populations

Terminal drought is one of the major constraints in chickpea (Cicer arietinum L.), causing more than 50% production losses. With the objective of accelerating genetic understanding and crop improvement through genomics-assisted breeding, a draft genome sequence has been assembled for the CDC Frontier variety. In this context, 544.73 Mb of sequence data were assembled, capturing of 73.8% of the genome in scaffolds. In addition, large-scale genomic resources including several thousand simple sequence repeats and several million single nucleotide polymorphisms, high-density diversity array technology (15 360 clones) and Illumina GoldenGate assay genotyping platforms, high-density genetic maps and transcriptome assemblies have been developed. In parallel, by using linkage mapping approach, one genomic region harbouring quantitative trait loci for several drought tolerance traits has been identified and successfully introgressed in three leading chickpea varieties (e.g. JG 11, Chefe, KAK 2) by using a marker-assisted backcrossing approach. A multilocation evaluation of these marker-assisted backcrossing lines provided several lines with 10–24% higher yield than the respective recurrent parents.Modern breeding approaches like marker-assisted recurrent selection and genomic selection are being deployed for enhancing drought tolerance in chickpea. Some novel mapping populations such as multiparent advanced generation intercross and nested association mapping populations are also being developed for trait mapping at higher resolution, as well as for enhancing the genetic base of chickpea. Such advances in genomics and genomics-assisted breeding will accelerate precision and efficiency in breeding for stress tolerance in chickpea.

scholarly journals Recent Advances in Molecular Genetic Linkage Maps of Cultivated Peanut

2013 ◽  
Vol 40 (2) ◽  
pp. 95-106 ◽  
Author(s):  
Baozhu Guo ◽  
Manish K. Pandey ◽  
Guohao He ◽  
Xinyou Zhang ◽  
Boshou Liao ◽  
...  
Keyword(s):  
Genetic Linkage ◽  
High Density ◽  
Genetic Maps ◽  
Linkage Maps ◽  
Consensus Map ◽  
Genetic Linkage Maps ◽  
Marker Loci ◽  
Cultivated Peanut ◽  
Peanut Genome ◽  
Mapping Populations

ABSTRACT The competitiveness of peanuts in domestic and global markets has been threatened by losses in productivity and quality that are attributed to diseases, pests, environmental stresses and allergy or food safety issues. Narrow genetic diversity and a deficiency of polymorphic DNA markers severely hindered construction of dense genetic maps and quantitative trait loci (QTL) mapping in order to deploy linked markers in marker-assisted peanut improvement. The U.S. Peanut Genome Initiative (PGI) was launched in 2004, and expanded to a global effort in 2006 to address these issues through coordination of international efforts in genome research beginning with molecular marker development and improvement of map resolution and coverage. Ultimately, a peanut genome sequencing project was launched in 2012 by the Peanut Genome Consortium (PGC). We reviewed the progress for accelerated development of peanut genomic resources in peanut, such as generation of expressed sequenced tags (ESTs) (252,832 ESTs as December 2012 in the public NCBI EST database), development of molecular markers (over 15,518 SSRs), and construction of peanut genetic linkage maps, in particular for cultivated peanut. Several consensus genetic maps have been constructed, and there are examples of recent international efforts to develop high density maps. An international reference consensus genetic map was developed recently with 897 marker loci based on 11 published mapping populations. Furthermore, a high-density integrated consensus map of cultivated peanut and wild diploid relatives also has been developed, which was enriched further with 3693 marker loci on a single map by adding information from five new genetic mapping populations to the published reference consensus map.

scholarly journals Draft Genome Sequence and intraspecific diversification of the wild crop relative Brassica cretica Lam. using demographic model selection

2019 ◽  
Author(s):  
Antonis Kioukis ◽  
Vassiliki A. Michalopoulou ◽  
Laura Briers ◽  
Stergios Pirintsos ◽  
David J. Studholme ◽  
...  
Keyword(s):  
Genome Sequence ◽  
De Novo ◽  
Sequence Data ◽  
Plant Genetic Resources ◽  
Crop Improvement ◽  
Draft Genome ◽  
Illumina Miseq ◽  
Crop Wild Relatives ◽  
Demographic Model ◽  
Sequencing Data

AbstractCrop wild relatives contain great levels of genetic diversity, representing an invaluable resource for crop improvement. Many of their traits have the potential to help crops become more resistant and resilient, and adapt to the new conditions that they will experience due to climate change. An impressive global effort occurs for the conservation of various wild crop relatives and facilitates their use in crop breeding for food security.The genus Brassica is listed in Annex I of the International Treaty on Plant Genetic Resources for Food and Agriculture. Brassica oleracea (or wild cabbage) is a species native to coastal southern and western Europe that has become established as an important human food crop plant because of its large reserves stored over the winter in its leaves.Brassica cretica Lam. is a wild relative crop in the brassica group and B. cretica subsp. nivea has been suggested as a separate subspecies. The species B. cretica has been proposed as a potential gene donor to a number of crops in the brassica group, including broccoli, Brussels sprout, cabbage, cauliflower, kale, swede, turnip and oilseed rape.Here, we present the draft de novo genome assemblies of four B. cretica individuals, including two B. cretica subsp. nivea and two B. cretica.De novo assembly of Illumina MiSeq genomic shotgun sequencing data yielded 243,461 contigs totalling 412.5 Mb in length, corresponding to 122 % of the estimated genome size of B. cretica (339 Mb). According to synteny mapping and phylogenetic analysis of conserved genes, B. cretica genome based on our sequence data reveals approximately 30.360 proteins.Furthermore, our demographic analysis based on whole genome data, suggests that distinct populations of B. cretica are not isolated. Our findings suggest that the classification of the B. cretica in distinct subspecies is not supported from the genome sequence data we analyzed.

scholarly journals Development of an SNP Marker Set for Marker-Assisted Backcrossing Using Genotyping-By-Sequencing in Tetraploid Perilla

2021 ◽  
Author(s):  
Yun-Joo Kang ◽  
Bo-Mi Lee ◽  
Jangmi Kim ◽  
Moon Nam ◽  
Myoung-Hee Lee ◽  
...  
Keyword(s):  
Recurrent Selection ◽  
Diploid Species ◽  
Genotyping By Sequencing ◽  
Snp Markers ◽  
Genetic Maps ◽  
Linkage Maps ◽  
Linkage Groups ◽  
Genome Wide ◽  
A Genome ◽  
Marker Assisted Backcrossing

Abstract High-quality molecular markers are essential for marker-assisted selection to accelerate breeding progress. Compared with diploid species, recently diverged polyploid crop species tend to have highly similar homeologous subgenomes, which is expected to limit the development of broadly applicable locus-specific single-nucleotide polymorphism (SNP) assays. Furthermore, it is particularly challenging to make genome-wide marker sets for species that lack a reference genome. Here, we report the development of a genome-wide set of kompetitive allele specific PCR (KASP) markers for marker-assisted recurrent selection (MARS) in the tetraploid minor crop perilla. To find locus-specific SNP markers across the perilla genome, we used genotyping-by-sequencing (GBS) to construct linkage maps of two F2 populations. The two resulting high-resolution linkage maps comprised 2,326 and 2,454 SNP markers that spanned a total genetic distance of 2,133 cM across 16 linkage groups and 2,169 cM across 21 linkage groups, respectively. We then obtained a final genetic map consisting of 22 linkage groups with 1,123 common markers from the two genetic maps. We selected 96 genome-wide markers for MARS and confirmed the accuracy of markers in the two F2 populations using a high-throughput Fluidigm system. We confirmed that 91.8% of the SNP genotyping results from the Fluidigm assay were the same as the results obtained through GBS. These results provide a foundation for marker-assisted backcrossing and the development of new varieties of perilla.

scholarly journals High-density Mapping for Gray Leaf Spot Resistance using Two Related Tropical Maize RIL Populations

2021 ◽  
Author(s):  
Long Chen ◽  
Li Liu ◽  
Ziwei Li ◽  
Yudong Zhang ◽  
Manjit S Kang ◽  
...  
Keyword(s):  
Leaf Spot ◽  
Large Scale ◽  
Gene Annotation ◽  
Snp Markers ◽  
Gray Leaf Spot ◽  
High Density ◽  
Genetic Maps ◽  
Phenotypic Variance ◽  
Maize Breeding ◽  
Density Mapping

Abstract The identification of QTL/genes to resist gray leaf spot (GLS) caused by Cercospora zeae-maydis or Cercospora Zeina plays an urgent role in improving GLS resistance in maize breeding practice. In our study, two groups of recombinant inbred line (RIL) populations derived from CML373×Ye107 (176 RILs) and Chang7-2×Ye107 (190 RILs) were generated and subjected to genotyping-by-sequencing (GBS). GBS technology was used for large-scale single nucleotide polymorphism (SNP) discovery and simultaneous genotyping of all F7 lines from two related RIL populations in order to identify quantitative trait loci (QTL) associated with GLS resistance under natural conditions of disease occurrence. A total of 1929222287 reads in CML373×Ye107 (RIL-YCML) and 2585728312 reads in Chang7-2×Ye107 (RIL-YChang), with an average of 10961490 (RIL-YCML) and 13609096 (RIL-YChang) reads per individual, were got, which was roughly equal to 0.70-fold and 0.87-fold coverage of the maize B73 RefGen_V4 genome for each F7 individual, respectively. 6418 and 5139 SNP markers were extracted to construct two high-density genetic maps. Comparative analysis using these physically mapped marker loci demonstrated a satisfactory colinear relationship with the reference genome. Eleven GLS-resistant QTL have been detected. The individual QTL accounted for 2.05-24.00% of the phenotypic variance explained (PVE). The new consensus QTL (qYCM-DS3-3/ qYCM-LT3-1/ qYCM-LT3-2) with the largest effect was located in chromosome bin 3.05, with an interval of 2.7 Mb, representing 13.08 to 24.00% of the PVE. Further gene annotation indicated that there were four candidate genes (GRMZM2G032384, GRMZM2G041415, GRMZM2G041544, and GRMZM2G035992) for qYCM-LT3-1, which may be related to GLS resistance.

scholarly journals Genetic and Physical Mapping of Genic Microsatellites in Barley (Hordeum vulgare L.)

2011 ◽  
Vol 41 (No. 4) ◽  
pp. 153-159
Author(s):  
R.K. Varshney ◽  
U. Hähnel ◽  
T. Thiel ◽  
N. Stein ◽  
L. Altschmied ◽  
...  
Keyword(s):  
Large Scale ◽  
Expressed Sequence Tag ◽  
Sequence Data ◽  
Bac Library ◽  
Linkage Groups ◽  
Hordeum Vulgare L ◽  
Expressed Sequence ◽  
Simple Sequence ◽  
Mapping Populations ◽  
Genic Microsatellites

Due to the availability of sequence data from large-scale EST (expressed sequence tag) projects, it has become feasible to develop microsatellite or simple sequence repeat (SSR) markers from genes. A set of 111 090 barley ESTs (corresponding to 55.9 Mb of sequence) was employed for the identification of microsatellites with the help of a PERL5 script called MISA. As a result, a total of 9 564 microsatellites were identified in 8 766 ESTs (SSR-ESTs). Cluster analysis revealed the presence of 2 823 non-redundant SSR-ESTs in this set. From these 754 primer pairs were designed and analysed in a set of seven genotypes including the parents of three mapping populations. Finally, 185 microsatellite (EST-SSRs) loci were placed onto the barley genetic map. These markers show a uniform distribution on all the linkage groups ranging from 21 markers (on 7H) to 35 markers (3H). The polymorphism information content (PIC) for the developed markers ranged from 0.24 to 0.78 with an average of 0.48. For the assignment of these markers to BAC clones, a PCR-based strategy was established to screen the “Morex”-BAC library. By using this strategy BAC addresses were obtained for a total of 127 mapped EST-SSRs, which may provide at least two markers located on a single BAC. This observation is indicative of an uneven distribution of genes and may lead to the identification of gene-rich regions in the barley genome.  

scholarly journals Abiotic stress responsive cis-regulatory elements (CREs) in rice (Oryza sativa L.) and other plants

2019 ◽  
Author(s):  
Sangram Lenka ◽  
Kailash C Bansal
Keyword(s):  
Gene Expression ◽  
Abiotic Stress ◽  
Large Scale ◽  
Sequence Data ◽  
Oryza Sativa L ◽  
Crop Improvement ◽  
Regulatory Elements ◽  
Plant Genome ◽  
Agricultural Crop ◽  
Cis Acting

Capability of crop plants to adjust to the adverse environmental conditions in a spatiotemporalfashion is critical for their survival and maintaining agricultural productivity.Genetic engineering efforts for improving tolerance to diverse abiotic stresses in crop plantsusing well characterised stress-inducible promoter elements have proven to be advantageous.Combinatorial interactions of cis-acting DNA elements in the promoters with trans-actingprotein factors are key processes governing spatio-temporal gene expression. It is becomingincreasingly evident that targeted modification of molecular genetic network is feasible, forexploiting the potential of specific abiotic stress responsive element and its correspondingmaster regulatory genes via plant genetic engineering.The importance of inducible promotersin agricultural crop improvement is enormous; hence it is very crucial to characteriseinducible promoters from plant genome sequence data bases on a large scale. We will brieflydiscuss here abiotic stress responsive cis-acting elements and their role in abiotic stressregulated gene expression.

scholarly journals A Draft Genome and High-Density Genetic Map of European Hazelnut (Corylus avellanaL.)

2018 ◽  
Author(s):  
Erik R. Rowley ◽  
Robert VanBuren ◽  
Doug W. Bryant ◽  
Henry D. Priest ◽  
Shawn A. Mehlenbacher ◽  
...  
Keyword(s):  
Draft Genome ◽  
Fold Increase ◽  
Corylus Avellana ◽  
High Density ◽  
Genetic Maps ◽  
Putative Gene ◽  
Coding Sequences ◽  
Economic Significance ◽  
Final Assembly ◽  
Yield And Quality

AbstractEuropean hazelnut (Corylus avellanaL.) is of global agricultural and economic significance, with genetic diversity existing in hundreds of accessions. Breeding efforts have focused on maximizing nut yield and quality and reducing susceptibility to diseases such as Eastern filbert blight (EFB). Here we present the first sequenced genome among the order Fagales, the EFB-resistant diploid hazelnut accession ‘Jefferson’ (OSU 703.007). We assembled the highly heterozygous hazelnut genome using an Illumina only approach and the final assembly has a scaffold N50 of 21.5kb. We captured approximately 91 percent (345 Mb) of the flow-cytometry-determined genome size and identified 34,910 putative gene loci. In addition, we identified over 2 million polymorphisms across seven diverse hazelnut accessions and characterized t heir effect on coding sequences. We produced t wo high-density genetic maps with 3,209 markers from an F1 hazelnut population, representing a five-fold increase in marker density over previous maps. These genomic resources will aide in the discovery of molecular markers linked to genes of interest for hazelnut breeding efforts, and are available to the community athttps://www.cavellanagenomeportal.com/.

scholarly journals Construction of high-density genetic map and QTL mapping in Nicotiana tabacum backcrossing BC4F3 population using whole-genome sequencing

2021 ◽  
Author(s):  
Zhijun Tong ◽  
Sanjie Jiang ◽  
Weiming He ◽  
Xuejun Chen ◽  
Lixin Yin ◽  
...  
Keyword(s):  
High Throughput Sequencing ◽  
Snp Markers ◽  
High Density ◽  
Genetic Maps ◽  
Recurrent Parent ◽  
Sequencing Data ◽  
High Throughput Sequencing Data ◽  
A Genome ◽  
Bc4f3 Population ◽  
Marker Assisted Backcrossing

Backcrossing is a powerful tool for plant breeding. The improved marker-assisted backcrossing intends to transfer targeted genes or quantitative trait loci (QTLs) of interest from a donor parent into a recurrent parent. In this study, a tobacco BC4F3 population was generated using Y3 and K326 as hybrid parents and YF1-1 as F<sub>1</sub> parents. High-throughput sequencing data of 381 pedigree populations were used to construct high-density genetic maps containing 24 142 high-quality single nucleotide polymorphism (SNP) markers with an average genetic distance of 0.59 cM. A genome module analysis was then performed for all the offspring. A total of forty-three candidate QTLs for six agronomics traits were identified. This study provides original biomarkers for tobacco breeding and offers clues for prospective backcrossing applications in other plants.

scholarly journals Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254318
Author(s):  
Zahoor A. Dar ◽  
Showket A. Dar ◽  
Jameel A. Khan ◽  
Ajaz A. Lone ◽  
Sapna Langyan ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Large Scale ◽  
Near Infrared ◽  
Crop Improvement ◽  
Inbred Lines ◽  
Infrared Range ◽  
Research Station ◽  
Thermal Imager ◽  
Maize Inbred Lines ◽  
Large Scale Screening

Screening for drought tolerance requires precise techniques like phonemics, which is an emerging science aimed at non-destructive methods allowing large-scale screening of genotypes. Large-scale screening complements genomic efforts to identify genes relevant for crop improvement. Thirty maize inbred lines from various sources (exotic and indigenous) maintained at Dryland Agriculture Research Station were used in the current study. In the automated plant transport and imaging systems (LemnaTec Scanalyzer system for large plants), top and side view images were taken of the VIS (visible) and NIR (near infrared) range of the light spectrum to capture phenes. All images were obtained with a thermal imager. All sensors were used to collect images one day after shifting the pots from the greenhouse for 11 days. Image processing was done using pre-processing, segmentation and flowered by features’ extraction. Different surrogate traits such as pixel area, plant aspect ratio, convex hull ratio and calliper length were estimated. A strong association was found between canopy temperature and above ground biomass under stress conditions. Promising lines in different surrogates will be utilized in breeding programmes to develop mapping populations for traits of interest related to drought resilience, in terms of improved tissue water status and mapping of genes/QTLs for drought traits.

scholarly journals QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents

Genes ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 604
Author(s):  
Paolo Vitale ◽  
Fabio Fania ◽  
Salvatore Esposito ◽  
Ivano Pecorella ◽  
Nicola Pecchioni ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Recombinant Inbred Lines ◽  
Snp Array ◽  
Heading Date ◽  
Tiller Number ◽  
Genetic Maps ◽  
Yield Potential ◽  
Adaptation To Climate Change ◽  
Map Resolution ◽  
Mapping Populations

Traits such as plant height (PH), juvenile growth habit (GH), heading date (HD), and tiller number are important for both increasing yield potential and improving crop adaptation to climate change. In the present study, these traits were investigated by using the same bi-parental population at early (F2 and F2-derived F3 families) and late (F6 and F7, recombinant inbred lines, RILs) generations to detect quantitative trait loci (QTLs) and search for candidate genes. A total of 176 and 178 lines were genotyped by the wheat Illumina 25K Infinium SNP array. The two genetic maps spanned 2486.97 cM and 3732.84 cM in length, for the F2 and RILs, respectively. QTLs explaining the highest phenotypic variation were found on chromosomes 2B, 2D, 5A, and 7D for HD and GH, whereas those for PH were found on chromosomes 4B and 4D. Several QTL detected in the early generations (i.e., PH and tiller number) were not detected in the late generations as they were due to dominance effects. Some of the identified QTLs co-mapped to well-known adaptive genes (i.e., Ppd-1, Vrn-1, and Rht-1). Other putative candidate genes were identified for each trait, of which PINE1 and PIF4 may be considered new for GH and TTN in wheat. The use of a large F2 mapping population combined with NGS-based genotyping techniques could improve map resolution and allow closer QTL tagging.

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