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Makebe A, Shimelis H, Mashilo J. Selection of M5 mutant lines of wheat ( Triticum aestivum L.) for agronomic traits and biomass allocation under drought stress and non-stressed conditions. FRONTIERS IN PLANT SCIENCE 2024; 15:1314014. [PMID: 38419777 PMCID: PMC10899435 DOI: 10.3389/fpls.2024.1314014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/22/2024] [Indexed: 03/02/2024]
Abstract
Introduction In the face of climate changes and limited water availability for irrigated crop production, enhanced drought tolerance and adaptation is vital to improve wheat productivity. The objective of this study was to determine the responses of newly bred and advanced mutant lines of wheat based on agronomic traits and biomass allocation under drought-stressed and non-stressed environments for production and breeding. Methods Fifty-three mutant lines, including the parental check and six check varieties, were evaluated under non-stressed (NS) and drought stressed (DS) conditions in the field and controlled environments using a 20 x 3 alpha lattice design with two replicates. The following agronomic data were collected: days to 50% heading (DTH), days to maturity (DTM), plant height (PH), number of productive tillers (PTN), shoot biomass (SB), root biomass (RB), total biomass (TB), root: shoot ratio (RSR), spike length (SL), thousand seeds weight (TSW) and grain yield (GY). Data were analyzed and summarized using various statistical procedures and drought tolerance indices were computed based on grain yield under NS and DS conditions. Results Significant (P < 0.05) differences were recorded among the mutant lines for most assessed traits under NS and DS conditions. Grain yield positively and significantly (p < 0.001) correlated with PTN (r = 0.85), RB (r = 0.75), SB (r = 0.80), SL (r =0.73), TB (r = 0.65), and TSW (r = 0.67) under DS condition. Principal component analysis revealed three components contributing to 78.55% and 77.21% of the total variability for the assessed agronomic traits under DS and NS conditions, respectively. The following traits: GY, RB, SB, and PTN explained most of the variation with high loading scores under DS condition. Geometric mean productivity (GMP), mean productivity (MP), harmonic mean (HM), and stress tolerance index (STI) were identified as the best drought tolerance indices for the identification of tolerant lines with positive correlations with GY under NS and DS conditions. Discussion Among the advanced lines tested, LMA16, LMA37, LMA47, LMA2, and LMA42 were selected as the superior lines with high performance and drought tolerance. The selected lines are recommended for multi-environment trails and release for production in water-limited environments in South Africa.
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Affiliation(s)
- Athenkosi Makebe
- African Centre for Crop Improvement (ACCI), University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Hussein Shimelis
- African Centre for Crop Improvement (ACCI), University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Jacob Mashilo
- African Centre for Crop Improvement (ACCI), University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Limpopo Department of Agriculture and Rural Development, Bela-Bela, South Africa
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Luo X, Yang Y, Lin X, Xiao J. Deciphering spike architecture formation towards yield improvement in wheat. J Genet Genomics 2023; 50:835-845. [PMID: 36907353 DOI: 10.1016/j.jgg.2023.02.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/28/2023] [Accepted: 02/28/2023] [Indexed: 03/12/2023]
Abstract
Wheat is the most widely grown crop globally, providing 20% of the daily consumed calories and protein content around the world. With the growing global population and frequent occurrence of extreme weather caused by climate change, ensuring adequate wheat production is essential for food security. The architecture of the inflorescence plays a crucial role in determining the grain number and size, which is a key trait for improving yield. Recent advances in wheat genomics and gene cloning techniques have improved our understanding of wheat spike development and its applications in breeding practices. Here, we summarize the genetic regulation network governing wheat spike formation, the strategies used for identifying and studying the key factors affecting spike architecture, and the progress made in breeding applications. Additionally, we highlight future directions that will aid in the regulatory mechanistic study of wheat spike determination and targeted breeding for grain yield improvement.
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Affiliation(s)
- Xumei Luo
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yiman Yang
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Xuelei Lin
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Jun Xiao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
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Soleimani B, Lehnert H, Trebing S, Habekuß A, Ordon F, Stahl A, Will T. Identification of Markers Associated with Wheat Dwarf Virus (WDV) Tolerance/Resistance in Barley ( Hordeum vulgare ssp. vulgare) Using Genome-Wide Association Studies. Viruses 2023; 15:1568. [PMID: 37515254 PMCID: PMC10385604 DOI: 10.3390/v15071568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/05/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
Wheat dwarf virus (WDV) causes an important vector transmitted virus disease, which leads to significant yield losses in barley production. Due to the fact that, at the moment, no plant protection products are approved to combat the vector Psammotettix alienus, and this disease cannot be controlled by chemical means, the use of WDV-resistant or -tolerant genotypes is the most efficient method to control and reduce the negative effects of WDV on barley growth and production. In this study, a set of 480 barley genotypes were screened to identify genotypic differences in response to WDV, and five traits were assessed under infected and noninfected conditions. In total, 32 genotypes showed resistance or tolerance to WDV. Subsequently, phenotypic data of 191 out of 480 genotypes combined with 34,408 single-nucleotide polymorphisms (SNPs) were used for a genome-wide association study to identify quantitative trait loci (QTLs) and markers linked to resistance/tolerance to WDV. Genomic regions significantly associated with WDV resistance/tolerance in barley were identified on chromosomes 3H, 4H, 5H, and 7H for traits such as relative virus titer, relative performance of total grain weight, plant height, number of ears per plant, and thousand grain weight.
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Affiliation(s)
- Behnaz Soleimani
- Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute (JKI)-Federal Research Center for Cultivated Plants, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Heike Lehnert
- Institute for Biosafety in Plant Biotechnology, Julius Kühn Institute (JKI)-Federal Research Center for Cultivated Plants, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Sarah Trebing
- Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute (JKI)-Federal Research Center for Cultivated Plants, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Antje Habekuß
- Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute (JKI)-Federal Research Center for Cultivated Plants, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Frank Ordon
- Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute (JKI)-Federal Research Center for Cultivated Plants, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Andreas Stahl
- Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute (JKI)-Federal Research Center for Cultivated Plants, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Torsten Will
- Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute (JKI)-Federal Research Center for Cultivated Plants, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
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Pradhan AK, Budhlakoti N, Chandra Mishra D, Prasad P, Bhardwaj SC, Sareen S, Sivasamy M, Jayaprakash P, Geetha M, Nisha R, Shajitha P, Peter J, Kaur A, Kaur S, Vikas VK, Singh K, Kumar S. Identification of Novel QTLs/Defense Genes in Spring Wheat Germplasm Panel for Seedling and Adult Plant Resistance to Stem Rust and Their Validation Through KASP Marker Assays. PLANT DISEASE 2023:PDIS09222242RE. [PMID: 37311158 DOI: 10.1094/pdis-09-22-2242-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Stem rust is one of the major diseases threatening wheat production globally. To identify novel resistance quantitative trait loci (QTLs), we performed 35K Axiom Array SNP genotyping assays on an association mapping panel of 400 germplasm accessions, including Indian landraces, in conjunction with phenotyping for stem rust at seedling and adult plant stages. Association analyses using three genome wide association study (GWAS) models (CMLM, MLMM, and FarmCPU) revealed 20 reliable QTLs for seedling and adult plant resistance. Among these 20 QTLs, five QTLs were found consistent with three models, i.e., four QTLs on chromosome 2AL, 2BL, 2DL, and 3BL for seedling resistance and one QTL on chromosome 7DS for adult plant resistance. Further, we identified a total of 21 potential candidate genes underlying QTLs using gene ontology analysis, including a leucine rich repeat receptor (LRR) and P-loop nucleoside triphosphate hydrolase, which have a role in pathogen recognition and disease resistance. Furthermore, four QTLs (Qsr.nbpgr-3B_11, QSr.nbpgr-6AS_11, QSr.nbpgr-2AL_117-6, and QSr.nbpgr-7BS_APR) were validated through KASP located on chromosomes 3B, 6A, 2A, and 7B. Out of these QTLs, QSr.nbpgr-7BS_APR was identified as a novel QTL for stem rust resistance which has been found effective in both seedling as well as the adult plant stages. Identified novel genomic regions and validated QTLs have the potential to be deployed in wheat improvement programs to develop disease resistant varieties for stem rust and can diversify the genetic basis of resistance.
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Affiliation(s)
| | - Neeraj Budhlakoti
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India
| | | | - Pramod Prasad
- ICAR-Indian Institute of Wheat and Barley Research, Flowerdale, Shimla, Himachal Pradesh 171002, India
| | - S C Bhardwaj
- ICAR-Indian Institute of Wheat and Barley Research, Flowerdale, Shimla, Himachal Pradesh 171002, India
| | - Sindhu Sareen
- ICAR-Indian Institute of Wheat and Barley Research, Karnal 132001, India
| | - M Sivasamy
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington 643 231, India
| | - P Jayaprakash
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington 643 231, India
| | - M Geetha
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington 643 231, India
| | - R Nisha
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington 643 231, India
| | - P Shajitha
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington 643 231, India
| | - John Peter
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington 643 231, India
| | - Amandeep Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141004, India
| | - Satinder Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141004, India
| | - V K Vikas
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington 643 231, India
| | - Kuldeep Singh
- International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Telangana 502324, India
| | - Sundeep Kumar
- ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India
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Blois L, de Miguel M, Bert P, Girollet N, Ollat N, Rubio B, Segura V, Voss‐Fels KP, Schmid J, Marguerit E. Genetic structure and first genome-wide insights into the adaptation of a wild relative of grapevine, Vitis berlandieri. Evol Appl 2023; 16:1184-1200. [PMID: 37360024 PMCID: PMC10286229 DOI: 10.1111/eva.13566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 05/16/2023] [Accepted: 05/22/2023] [Indexed: 06/28/2023] Open
Abstract
In grafted plants, such as grapevine, increasing the diversity of rootstocks available to growers is an ideal strategy for helping plants to adapt to climate change. The rootstocks used for grapevine are hybrids of various American Vitis, including V. berlandieri. The rootstocks currently use in vineyards are derived from breeding programs involving very small numbers of parental individuals. We investigated the structure of a natural population of V. berlandieri and the association of genetic diversity with environmental variables. In this study, we collected seeds from 78 wild V. berlandieri plants in Texas after open fertilization. We genotyped 286 individuals to describe the structure of the population, and environmental information collected at the sampling site made it possible to perform genome-environment association analysis (GEA). De novo long-read whole-genome sequencing was performed on V. berlandieri and a STRUCTURE analysis was performed. We identified and filtered 104,378 SNPs. We found that there were two subpopulations associated with differences in elevation, temperature, and rainfall between sampling sites. GEA identified three QTL for elevation and 15 QTL for PCA coordinates based on environmental parameter variability. This original study is the first GEA study to be performed on a population of grapevines sampled in natural conditions. Our results shed new light on rootstock genetics and could open up possibilities for introducing greater diversity into genetic improvement programs for grapevine rootstocks.
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Affiliation(s)
- Louis Blois
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
- Department of Grapevine BreedingGeisenheim UniversityGeisenheimGermany
| | - Marina de Miguel
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Pierre‐François Bert
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Nabil Girollet
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Nathalie Ollat
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Bernadette Rubio
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Vincent Segura
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut AgroMontpellierFrance
| | - Kai P. Voss‐Fels
- Department of Grapevine BreedingGeisenheim UniversityGeisenheimGermany
| | - Joachim Schmid
- Department of Grapevine BreedingGeisenheim UniversityGeisenheimGermany
| | - Elisa Marguerit
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
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Lehnert H, Berner T, Lang D, Beier S, Stein N, Himmelbach A, Kilian B, Keilwagen J. Insights into breeding history, hotspot regions of selection, and untapped allelic diversity for bread wheat breeding. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 112:897-918. [PMID: 36073999 DOI: 10.1111/tpj.15952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 08/17/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
Breeding has increasingly altered the genetics of crop plants since the domestication of their wild progenitors. It is postulated that the genetic diversity of elite wheat breeding pools is too narrow to cope with future challenges. In contrast, plant genetic resources (PGRs) of wheat stored in genebanks are valuable sources of unexploited genetic diversity. Therefore, to ensure breeding progress in the future, it is of prime importance to identify the useful allelic diversity available in PGRs and to transfer it into elite breeding pools. Here, a diverse collection consisting of modern winter wheat cultivars and genebank accessions was investigated based on reduced-representation genomic sequencing and an iSelect single nucleotide polymorphism (SNP) chip array. Analyses of these datasets provided detailed insights into population structure, levels of genetic diversity, sources of new allelic diversity, and genomic regions affected by breeding activities. We identified 57 regions representing genomic signatures of selection and 827 regions representing private alleles associated exclusively with genebank accessions. The presence of known functional wheat genes, quantitative trait loci, and large chromosomal modifications, i.e., introgressions from wheat wild relatives, provided initial evidence for putative traits associated within these identified regions. These findings were supported by the results of ontology enrichment analyses. The results reported here will stimulate further research and promote breeding in the future by allowing for the targeted introduction of novel allelic diversity into elite wheat breeding pools.
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Affiliation(s)
- Heike Lehnert
- Institute for Biosafety in Plant Biotechnology, Julius Kuehn Institute, Quedlinburg, Germany
| | - Thomas Berner
- Institute for Biosafety in Plant Biotechnology, Julius Kuehn Institute, Quedlinburg, Germany
| | - Daniel Lang
- PGSB, Helmholtz Center Munich, German Research Center for Environmental Health, Plant Genome and Systems Biology, Neuherberg, Germany
| | - Sebastian Beier
- Research Group Bioinformatics and Information Technology, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | - Nils Stein
- Research Group Genomics of Genetic Resources, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
- Center of integrated Breeding Research (CiBreed), Department of Crop Sciences, Georg-August-University, Göttingen, Germany
| | - Axel Himmelbach
- Research Group Genomics of Genetic Resources, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | | | - Jens Keilwagen
- Institute for Biosafety in Plant Biotechnology, Julius Kuehn Institute, Quedlinburg, Germany
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Shi P, Sun H, Liu G, Zhang X, Zhou J, Song R, Xiao J, Yuan C, Sun L, Wang Z, Lou Q, Jiang J, Wang X, Wang H. Chromosome painting reveals inter-chromosomal rearrangements and evolution of subgenome D of wheat. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 112:55-67. [PMID: 35998122 DOI: 10.1111/tpj.15926] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/16/2022] [Accepted: 07/21/2022] [Indexed: 06/15/2023]
Abstract
Aegilops species represent the most important gene pool for breeding bread wheat (Triticum aestivum). Thus, understanding the genome evolution, including chromosomal structural rearrangements and syntenic relationships among Aegilops species or between Aegilops and wheat, is important for both basic genome research and practical breeding applications. In the present study, we attempted to develop subgenome D-specific fluorescence in situ hybridization (FISH) probes by selecting D-specific oligonucleotides based on the reference genome of Chinese Spring. The oligo-based chromosome painting probes consisted of approximately 26 000 oligos per chromosome and their specificity was confirmed in both diploid and polyploid species containing the D subgenome. Two previously reported translocations involving two D chromosomes have been confirmed in wheat varieties and their derived lines. We demonstrate that the oligo painting probes can be used not only to identify the translocations involving D subgenome chromosomes, but also to determine the precise positions of chromosomal breakpoints. Chromosome painting of 56 accessions of Ae. tauschii from different origins led us to identify two novel translocations: a reciprocal 3D-7D translocation in two accessions and a complex 4D-5D-7D translocation in one accession. Painting probes were also used to analyze chromosomes from more diverse Aegilops species. These probes produced FISH signals in four different genomes. Chromosome rearrangements were identified in Aegilops umbellulata, Aegilops markgrafii, and Aegilops uniaristata, thus providing syntenic information that will be valuable for the application of these wild species in wheat breeding.
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Affiliation(s)
- Peiyao Shi
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Haojie Sun
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Guanqing Liu
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Co-Innovation Centre for Modern Production Technology of Grain Crops, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Xu Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Jiawen Zhou
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Rongrong Song
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Jin Xiao
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Chunxia Yuan
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Li Sun
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Zongkuan Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Qunfeng Lou
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jiming Jiang
- Department of Plant Biology, Department of Horticulture, MSU AgBioResearch, Michigan State University, East Lansing, Michigan, 48824, USA
| | - Xiue Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
| | - Haiyan Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agronomy, Nanjing Agricultural University/JCIC-MCP, Nanjing, 210095, Jiangsu, China
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Integrated Analysis of Transcriptome and Metabolome Reveals New Insights into the Formation of Purple Leaf Veins and Leaf Edge Cracks in Brassica juncea. PLANTS 2022; 11:plants11172229. [PMID: 36079611 PMCID: PMC9460116 DOI: 10.3390/plants11172229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/18/2022] [Accepted: 08/24/2022] [Indexed: 11/17/2022]
Abstract
Purple leaf veins and leaf edge cracks comprise the typical leaf phenotype of Brassica juncea; however, the molecular mechanisms and metabolic pathways of the formation of purple leaf veins and leaf edge cracks remain unclear. In this study, transcriptome and metabolome analyses were conducted to explore the regulation pathway of purple leaf vein and leaf edge crack formation based on four mustard samples that showed different leaf colors and degrees of cracking. The results showed genes with higher expression in purple leaf veins were mainly enriched in the flavonoid biosynthesis pathway. Integrating related genes and metabolites showed that the highly expressed genes of ANS (BjuA004031, BjuB014115, BjuB044852, and BjuO009605) and the excessive accumulation of dihydrokaempferol and dihydroquercetin contributed to the purple leaf veins by activating the synthetic pathways of pelargonidin-based anthocyanins and delphinidin-based anthocyanins. Meanwhile, “alpha-farnesene synthase activity” and “glucan endo-1, 3-beta-D-glucosidase activity” related to the adversity were mainly enriched in the serrated and lobed leaves, indicating that the environmental pressure was the dominant factor controlling the change in leaf shape. Overall, these results provided new insights into the regulation pathways for formation of purple leaf veins and leaf edge cracks, which could better accelerate the theoretical research on purple leaf vein color and leaf edge cracks in mustard.
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Ali M, Danting S, Wang J, Sadiq H, Rasheed A, He Z, Li H. Genetic Diversity and Selection Signatures in Synthetic-Derived Wheats and Modern Spring Wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:877496. [PMID: 35903232 PMCID: PMC9315363 DOI: 10.3389/fpls.2022.877496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 06/10/2022] [Indexed: 06/15/2023]
Abstract
Synthetic hexaploid wheats and their derived advanced lines were subject to empirical selection in developing genetically superior cultivars. To investigate genetic diversity, patterns of nucleotide diversity, population structure, and selection signatures during wheat breeding, we tested 422 wheat accessions, including 145 synthetic-derived wheats, 128 spring wheat cultivars, and 149 advanced breeding lines from Pakistan. A total of 18,589 high-quality GBS-SNPs were identified that were distributed across the A (40%), B (49%), and D (11%) genomes. Values of population diversity parameters were estimated across chromosomes and genomes. Genome-wide average values of genetic diversity and polymorphic information content were estimated to be 0.30 and 0.25, respectively. Neighbor-joining (NJ) tree, principal component analysis (PCA), and kinship analyses revealed that synthetic-derived wheats and advanced breeding lines were genetically diverse. The 422 accessions were not separated into distinct groups by NJ analysis and confirmed using the PCA. This conclusion was validated with both relative kinship and Rogers' genetic distance analyses. EigenGWAS analysis revealed that 32 unique genome regions had undergone selection. We found that 50% of the selected regions were located in the B-genome, 29% in the D-genome, and 21% in the A-genome. Previously known functional genes or QTL were found within the selection regions associated with phenology-related traits such as vernalization, adaptability, disease resistance, and yield-related traits. The selection signatures identified in the present investigation will be useful for understanding the targets of modern wheat breeding in Pakistan.
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Affiliation(s)
- Mohsin Ali
- Institute of Crop Sciences and CIMMYT China Office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Nanfan Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Sanya, China
| | - Shan Danting
- Institute of Crop Sciences and CIMMYT China Office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Nanfan Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Sanya, China
| | - Jiankang Wang
- Institute of Crop Sciences and CIMMYT China Office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Hafsa Sadiq
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Awais Rasheed
- Institute of Crop Sciences and CIMMYT China Office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Zhonghu He
- Institute of Crop Sciences and CIMMYT China Office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Huihui Li
- Institute of Crop Sciences and CIMMYT China Office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Nanfan Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Sanya, China
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Negisho K, Shibru S, Matros A, Pillen K, Ordon F, Wehner G. Association Mapping of Drought Tolerance Indices in Ethiopian Durum Wheat ( Triticum turgidum ssp. durum). FRONTIERS IN PLANT SCIENCE 2022; 13:838088. [PMID: 35693182 PMCID: PMC9178276 DOI: 10.3389/fpls.2022.838088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
Ethiopia is a major producer of durum wheat in sub-Saharan Africa. However, its production is prone to drought stress as it is fully dependent on rain, which is erratic and unpredictable. This study aimed to detect marker-trait associations (MTAs) and quantitative trait loci (QTLs) related to indices. Six drought tolerance indices, i.e., drought susceptibility index (DSI), geometric mean productivity (GMP), relative drought index (RDI), stress tolerance index (STI), tolerance index (TOL), and yield stability index (YSI) were calculated from least-square means (lsmeans) of grain yield (GY) and traits significantly (p < 0.001) correlated with grain yield (GY) under field drought stress (FDS) and field non-stress (FNS) conditions. GY, days to grain filling (DGF), soil plant analysis development (SPAD) chlorophyll meter, seeds per spike (SPS), harvest index (HI), and thousand kernel weight (TKW) were used to calculate DSI, GMP, RDI, STI, TOL, and YSI drought indices. Accessions, DW084, DW082, DZ004, C037, and DW092 were selected as the top five drought-tolerant based on DSI, RDI, TOL, and YSI combined ranking. Similarly, C010, DW033, DW080, DW124-2, and C011 were selected as stable accessions based on GMP and STI combined ranking. A total of 184 MTAs were detected linked with drought indices at -log10p ≥ 4.0,79 of which were significant at a false discovery rate (FDR) of 5%. Based on the linkage disequilibrium (LD, r 2 ≥ 0.2), six of the MTAs with a positive effect on GY-GMP were detected on chromosomes 2B, 3B, 4A, 5B, and 6B, explaining 14.72, 10.07, 26.61, 21.16, 21.91, and 22.21% of the phenotypic variance, respectively. The 184 MTAs were clustered into 102 QTLs. Chromosomes 1A, 2B, and 7A are QTL hotspots with 11 QTLs each. These chromosomes play a key role in drought tolerance and respective QTL may be exploited by marker-assisted selection for improving drought stress tolerance in wheat.
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Affiliation(s)
- Kefyalew Negisho
- National Agricultural Biotechnology Research Center, Ethiopian Institute of Agricultural Research (EIAR), Holeta, Ethiopia
| | - Surafel Shibru
- Melkassa Research Center, Ethiopian Institute of Agricultural Research (EIAR), Melkassa, Ethiopia
| | - Andrea Matros
- Julius Kühn Institute (JKI), Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
| | - Klaus Pillen
- Institute of Agricultural and Nutritional Sciences, Martin Luther University, Halle, Germany
| | - Frank Ordon
- Julius Kühn Institute (JKI), Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
| | - Gwendolin Wehner
- Julius Kühn Institute (JKI), Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
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11
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Genome-Wide Association Study Identifies Two Loci for Stripe Rust Resistance in a Durum Wheat Panel from Iran. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12104963] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Stripe rust (Puccinia striiformis f. sp. tritici (Pst)) is one of the most devastating fungal diseases of durum wheat (Triticum turgidum L. var. durum Desf.). Races of Pst with new virulence combinations are emerging more regularly on wheat-growing continents, which challenges wheat breeding for resistance. This study aimed to identify and characterize resistance to Pst races based on a genome-wide association study. GWAS is an approach to analyze the associations between a genome-wide set of single-nucleotide polymorphisms (SNPs) and target phenotypic traits. A total of 139 durum wheat accessions from Iran were evaluated at the seedling stage against isolates Pstv-37 and Pstv-40 of Pst and then genotyped using a 15K SNP chip. In total, 230 significant associations were identified across 14 chromosomes, of which 30 were associated with resistance to both isolates. Furthermore, 17 durum wheat landraces showed an immune response against both Pst isolates. The SNP markers and resistant accessions identified in this study may be useful in programs breeding durum wheat for stripe rust resistance.
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12
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Vikas VK, Pradhan AK, Budhlakoti N, Mishra DC, Chandra T, Bhardwaj SC, Kumar S, Sivasamy M, Jayaprakash P, Nisha R, Shajitha P, Peter J, Geetha M, Mir RR, Singh K, Kumar S. Multi-locus genome-wide association studies (ML-GWAS) reveal novel genomic regions associated with seedling and adult plant stage leaf rust resistance in bread wheat (Triticum aestivum L.). Heredity (Edinb) 2022; 128:434-449. [PMID: 35418669 DOI: 10.1038/s41437-022-00525-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 01/02/2023] Open
Abstract
Leaf rust is one of the important diseases limiting global wheat production and productivity. To identify quantitative trait nucleotides (QTNs) or genomic regions associated with seedling and adult plant leaf rust resistance, multilocus genome-wide association studies (ML-GWAS) were performed on a panel of 400 diverse wheat genotypes using 35 K single-nucleotide polymorphism (SNP) genotyping assays and trait data of leaf rust resistance. Association analyses using six multi-locus GWAS models revealed a set of 201 significantly associated QTNs for seedling and 65 QTNs for adult plant resistance (APR), explaining 1.98-31.72% of the phenotypic variation for leaf rust. Among these QTNs, 51 reliable QTNs for seedling and 15 QTNs for APR were consistently detected in at least two GWAS models and were considered reliable QTNs. Three genomic regions were pleiotropic, each controlling two to three pathotype-specific seedling resistances to leaf rust. We also identified candidate genes, such as leucine-rich repeat receptor-like (LRR) protein kinases, P-loop containing nucleoside triphosphate hydrolase and serine-threonine/tyrosine-protein kinases (STPK), which have a role in pathogen recognition and disease resistance linked to the significantly associated genomic regions. The QTNs identified in this study can prove useful in wheat molecular breeding programs aimed at enhancing resistance to leaf rust and developing next-generation leaf rust-resistant varieties.
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Affiliation(s)
- V K Vikas
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington, 643 231, India
| | | | - Neeraj Budhlakoti
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
| | | | - Tilak Chandra
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110012, India
| | - S C Bhardwaj
- ICAR-Indian Institute of Wheat and Barley Research, Flowerdale, Shimla, Himachal Pradesh, 171002, India
| | - Subodh Kumar
- ICAR-Indian Institute of Wheat and Barley Research, Flowerdale, Shimla, Himachal Pradesh, 171002, India
| | - M Sivasamy
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington, 643 231, India
| | - P Jayaprakash
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington, 643 231, India
| | - R Nisha
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington, 643 231, India
| | - P Shajitha
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington, 643 231, India
| | - John Peter
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington, 643 231, India
| | - M Geetha
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington, 643 231, India
| | - Reyazul Rouf Mir
- Division of Genetics and Plant Breeding, Faculty of Agriculture (FoA), Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Srinagar, India
| | - Kuldeep Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110012, India.,Genetic Resource Division, ICRISAT, Patancheru, Hyderabad, India
| | - Sundeep Kumar
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110012, India.
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13
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Abstract
Winter wheat growing areas in the Northern hemisphere are regularly exposed to heavy frost. Due to the negative impact on yield, the identification of genetic factors controlling frost tolerance (FroT) and development of tools for breeding is of prime importance. Here, we detected QTL associated with FroT by genome wide association studies (GWAS) using a diverse panel of 276 winter wheat genotypes that was phenotyped at five locations in Germany and Russia in three years. The panel was genotyped using the 90 K iSelect array and SNPs in FroT candidate genes. In total, 17,566 SNPs were used for GWAS resulting in the identification of 53 markers significantly associated (LOD ≥ 4) to FroT, corresponding to 23 QTL regions located on 11 chromosomes (1A, 1B, 2A, 2B, 2D, 3A, 3D, 4A, 5A, 5B and 7D). The strongest QTL effect confirmed the importance of chromosome 5A for FroT. In addition, to our best knowledge, eight FroT QTLs were discovered for the first time in this study comprising one QTL on chromosomes 3A, 3D, 4A, 7D and two on chromosomes 1B and 2D. Identification of novel FroT candidate genes will help to better understand the FroT mechanism in wheat and to develop more effective combating strategies.
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14
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Yadav S, Ross EM, Aitken KS, Hickey LT, Powell O, Wei X, Voss-Fels KP, Hayes BJ. A linkage disequilibrium-based approach to position unmapped SNPs in crop species. BMC Genomics 2021; 22:773. [PMID: 34715779 PMCID: PMC8555328 DOI: 10.1186/s12864-021-08116-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/19/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND High-density SNP arrays are now available for a wide range of crop species. Despite the development of many tools for generating genetic maps, the genome position of many SNPs from these arrays is unknown. Here we propose a linkage disequilibrium (LD)-based algorithm to allocate unassigned SNPs to chromosome regions from sparse genetic maps. This algorithm was tested on sugarcane, wheat, and barley data sets. We calculated the algorithm's efficiency by masking SNPs with known locations, then assigning their position to the map with the algorithm, and finally comparing the assigned and true positions. RESULTS In the 20-fold cross-validation, the mean proportion of masked mapped SNPs that were placed by the algorithm to a chromosome was 89.53, 94.25, and 97.23% for sugarcane, wheat, and barley, respectively. Of the markers that were placed in the genome, 98.73, 96.45 and 98.53% of the SNPs were positioned on the correct chromosome. The mean correlations between known and new estimated SNP positions were 0.97, 0.98, and 0.97 for sugarcane, wheat, and barley. The LD-based algorithm was used to assign 5920 out of 21,251 unpositioned markers to the current Q208 sugarcane genetic map, representing the highest density genetic map for this species to date. CONCLUSIONS Our LD-based approach can be used to accurately assign unpositioned SNPs to existing genetic maps, improving genome-wide association studies and genomic prediction in crop species with fragmented and incomplete genome assemblies. This approach will facilitate genomic-assisted breeding for many orphan crops that lack genetic and genomic resources.
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Affiliation(s)
- Seema Yadav
- Queensland Alliance for Agriculture and Food Innovation, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, Queensland, 4067, Australia.
| | - Elizabeth M Ross
- Queensland Alliance for Agriculture and Food Innovation, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, Queensland, 4067, Australia
| | - Karen S Aitken
- Agriculture and Food, CSIRO, Queensland Bioscience Precinct, St. Lucia, Brisbane, Queensland, 4067, Australia
| | - Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, Queensland, 4067, Australia
| | - Owen Powell
- Queensland Alliance for Agriculture and Food Innovation, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, Queensland, 4067, Australia
| | - Xianming Wei
- Sugar Research Australia, Mackay, QLD, 4741, Australia
| | - Kai P Voss-Fels
- Queensland Alliance for Agriculture and Food Innovation, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, Queensland, 4067, Australia
| | - Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, Queensland, 4067, Australia.
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15
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Naz R, Batool S, Shahid M, Keyani R, Yasmin H, Nosheen A, Hassan MN, Mumtaz S, Siddiqui MH. Exogenous silicon and hydrogen sulfide alleviates the simultaneously occurring drought stress and leaf rust infection in wheat. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2021; 166:558-571. [PMID: 34174661 DOI: 10.1016/j.plaphy.2021.06.034] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/07/2021] [Accepted: 06/17/2021] [Indexed: 05/28/2023]
Abstract
Silicon (Si) and hydrogen sulfide (H2S) are known to enhance plant defense against multiple stresses. Current study was conducted to investigate the application of Si and H2S alone as well as in combination, improved physiological resilience of wheat plants to drought stress (DS) and pathogen-Puccinia triticina (Pt) infection. We aimed to increase the wheat plant growth and to enhance the DS tolerance and Pt resistance with the concurrent applications of H2S and Si. In the first experiment, we selected the best growth enhancing concentration of H2S (0.3 mM) and Si (6 mM) to further investigate their tolerance and resistance potential in the pot experiment under DS and pathogen infection conditions. The obtained results reveal that DS has further increased the susceptibility of wheat plants to leaf rust pathogen infection while, the sole application of Si and the simultaneous exogenous treatments of H2S + Si enhanced the plant growth, decreased disease incidence, and significantly improved tolerance and defense mechanisms of wheat under individual and interactive stress conditions. The exogenous treatment of H2S + Si improved the growth criteria, photosynthetic pigments, osmoprotectants, and defense related enzyme activities. The same treatment also reinforced the endogenous H2S, Si, ABA and SA contents while decreased the disease incidence and oxidative stress indicators under individual and combined stress conditions. Overall, results from this study presents the influence of combined drought and P. triticina stress in wheat and reveal the beneficial impacts of concurrent exogenous treatment of H2S + Si to mitigate the drought and pathogen (P. triticina) induced adverse effects.
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Affiliation(s)
- Rabia Naz
- Department of Biosciences, COMSATS University, Islamabad, Pakistan.
| | - Sana Batool
- Department of Biosciences, COMSATS University, Islamabad, Pakistan
| | - Muhammad Shahid
- Department of Environmental Sciences, COMSATS University, Vehari Campus, Islamabad, Pakistan
| | - Rumana Keyani
- Department of Biosciences, COMSATS University, Islamabad, Pakistan
| | - Humaira Yasmin
- Department of Biosciences, COMSATS University, Islamabad, Pakistan
| | - Asia Nosheen
- Department of Biosciences, COMSATS University, Islamabad, Pakistan
| | | | - Saqib Mumtaz
- Department of Biosciences, COMSATS University, Islamabad, Pakistan
| | - Manzer Hussain Siddiqui
- Department of Botany and Microbiology, College of Science, King Saud University, Saudi Arabia
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16
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Genome-wide association mapping reveals key genomic regions for physiological and yield-related traits under salinity stress in wheat (Triticum aestivum L.). Genomics 2021; 113:3198-3215. [PMID: 34293475 DOI: 10.1016/j.ygeno.2021.07.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 06/27/2021] [Accepted: 07/13/2021] [Indexed: 11/21/2022]
Abstract
A genome-wide association study (GWAS) was conducted using six different multi-locus GWAS models and 35K SNP array to demarcate genomic regions underlying reproductive stage salinity tolerance. Marker-trait association analysis was performed for salt tolerance indices (STI) of 11 morpho-physiological traits, and the actual concentrations of Na+ and K+, and the Na+/K+ ratio in flag leaf. A total of 293 significantly associated quantitative trait nucleotides (QTNs) for 14 morpho-physiological traits were identified. Of these 293 QTNs, 12 major QTNs with R2 ≥ 10.0% were detected in three or more GWAS models. Novel major QTNs were identified for plant height, number of effective tillers, biomass, grain yield, thousand grain weight, Na+ and K+ content, and the Na+/K+ ratio in flag leaf. Moreover, 48 candidate genes were identified from the associated genomic regions. The QTNs identified in this study could potentially be targeted for improving salinity tolerance in wheat.
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17
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Hargreaves W, N'Daiye A, Walkowiak S, Pozniak CJ, Wiebe K, Enns J, Lukens L. The effects of crop attributes, selection, and recombination on Canadian bread wheat molecular variation. THE PLANT GENOME 2021; 14:e20099. [PMID: 34009734 DOI: 10.1002/tpg2.20099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 03/09/2021] [Indexed: 06/12/2023]
Abstract
Cultivated germplasm provides an opportunity to investigate how crop agronomic traits, selection for major genes, and differences in crossing-over rates drive patterns of allelic variation. To identify how these factors correlated with allelic variation within a collection of cultivated bread wheat (Triticum aestivum L.), we generated genotypes for 388 accessions grown in Canada over the past 170 yr using filtered single nucleotide polymorphism (SNP) calls from an Illumina Wheat iSelect 90K SNP-array. Entries' breeding program, era of release, grain texture, kernel color, and growth habit contributed to allelic differentiation. Allelic diversity and linkage disequilibrium (LD) of markers flanking some major loci known to affect traits such as gluten strength, growth habit, and grain color were consistent with selective sweeps. Nonetheless, some flanking markers of major loci had low LD and high allelic diversity. Positive selection may have acted upon homoeologous genes that had significant enrichment for the gene ontology terms 'response-to-auxin' and 'response-to-wounding.' Long regions of LD, spanning approximately one-third the length of entire chromosomes, were associated with many pericentromeric regions. These regions were also characterized by low diversity. Enhancing recombination across these regions could generate novel allele combinations to accelerate Canadian wheat improvement.
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Affiliation(s)
- William Hargreaves
- Department of Plant Agriculture, University of Guelph, Crop Science Building, 50 Stone Road E, Guelph, ON, N1G 2W1, Canada
| | - Amidou N'Daiye
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
| | - Sean Walkowiak
- Grain Research Laboratory, Canadian Grain Commission, 196 Innovation Drive, Winnipeg, MB, R3T 6C5, Canada
| | - Curtis J Pozniak
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
| | - Krystalee Wiebe
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
| | - Jennifer Enns
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
| | - Lewis Lukens
- Department of Plant Agriculture, University of Guelph, Crop Science Building, 50 Stone Road E, Guelph, ON, N1G 2W1, Canada
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18
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Zhou Y, Bai S, Li H, Sun G, Zhang D, Ma F, Zhao X, Nie F, Li J, Chen L, Lv L, Zhu L, Fan R, Ge Y, Shaheen A, Guo G, Zhang Z, Ma J, Liang H, Qiu X, Hu J, Sun T, Hou J, Xu H, Xue S, Jiang W, Huang J, Li S, Zou C, Song CP. Introgressing the Aegilops tauschii genome into wheat as a basis for cereal improvement. NATURE PLANTS 2021; 7:774-786. [PMID: 34045708 DOI: 10.1038/s41477-021-00934-w] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 04/30/2021] [Indexed: 05/04/2023]
Abstract
Increasing crop production is necessary to feed the world's expanding population, and crop breeders often utilize genetic variations to improve crop yield and quality. However, the narrow diversity of the wheat D genome seriously restricts its selective breeding. A practical solution is to exploit the genomic variations of Aegilops tauschii via introgression. Here, we established a rapid introgression platform for transferring the overall genetic variations of A. tauschii to elite wheats, thereby enriching the wheat germplasm pool. To accelerate the process, we assembled four new reference genomes, resequenced 278 accessions of A. tauschii and constructed the variation landscape of this wheat progenitor species. Genome comparisons highlighted diverse functional genes or novel haplotypes with potential applications in wheat improvement. We constructed the core germplasm of A. tauschii, including 85 accessions covering more than 99% of the species' overall genetic variations. This was crossed with elite wheat cultivars to generate an A. tauschii-wheat synthetic octoploid wheat (A-WSOW) pool. Laboratory and field analysis with two examples of the introgression lines confirmed its great potential for wheat breeding. Our high-quality reference genomes, genomic variation landscape of A. tauschii and the A-WSOW pool provide valuable resources to facilitate gene discovery and breeding in wheat.
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Affiliation(s)
- Yun Zhou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Shenglong Bai
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Hao Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Guiling Sun
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Dale Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Feifei Ma
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Xinpeng Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Fang Nie
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jingyao Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Liyang Chen
- Novogene Bioinformatics Institute, Beijing, China
| | - Linlin Lv
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Lele Zhu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Ruixiao Fan
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Yifan Ge
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Aaqib Shaheen
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Guanghui Guo
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Zhen Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jianchao Ma
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Huihui Liang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Xiaolong Qiu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jiamin Hu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Ting Sun
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jingyi Hou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Hongxing Xu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Shulin Xue
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Wenkai Jiang
- Novogene Bioinformatics Institute, Beijing, China
| | - Jinling Huang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
- Department of Biology, East Carolina University, Greenville, NC, USA
| | - Suoping Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Changsong Zou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China.
| | - Chun-Peng Song
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China.
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Hussain A, Ahmad M, Nafees M, Iqbal Z, Luqman M, Jamil M, Maqsood A, Mora-Poblete F, Ahmar S, Chen JT, Alyemeni MN, Ahmad P. Plant-growth-promoting Bacillus and Paenibacillus species improve the nutritional status of Triticum aestivum L. PLoS One 2020; 15:e0241130. [PMID: 33259487 PMCID: PMC7707572 DOI: 10.1371/journal.pone.0241130] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 10/08/2020] [Indexed: 11/30/2022] Open
Abstract
Wheat is one of the best-domesticated cereal crops and one of the vital sources of nutrition for humans. An investigation was undertaken to reveal the potential of novel bio-inoculants enriching micronutrients in shoot and grains of wheat crop to eliminate the hazards of malnutrition. Sole as well as consortia inoculation of bio-inoculants significantly enhanced mineral nutrients including zinc (Zn) and iron (Fe) concentrations in shoot and grains of wheat. Various treatments of bio-inoculants increase Zn and Fe content up to 1-15% and 3-13%, respectively. Sole inoculation of Bacillus aryabhattai (S10) impressively improves the nutritious of wheat. However, the maximum increase in minerals contents of wheat was recorded by consortia inoculation of Paenibacillus polymyxa ZM27, Bacillus subtilis ZM63 and Bacillus aryabhattai S10. This treatment also showed a maximum bacterial population (18 × 104 cfu mL-1) in the rhizosphere. The consortium application of these strains showed up to a 17% increase in yield. It is evident from the results that the consortium application was more effective than sole and co-inoculation. A healthy positive correlation was found between growth, yield, and the accessibility of micronutrients to wheat crops at the harvesting stage. The present investigations revealed the significance of novel bacterial strains in improving the nutritional status of wheat crops. These strains could be used as bio-inoculants for the biofortification of wheat to combat hidden hunger in developing countries.
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Affiliation(s)
- Azhar Hussain
- Department of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Maqshoof Ahmad
- Department of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Muhammad Nafees
- Department of Horticultural Sciences, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Zafar Iqbal
- Department of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Muhammad Luqman
- Department of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Moazzam Jamil
- Department of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Ambreen Maqsood
- Department of Plant Pathology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | | | - Sunny Ahmar
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jen-Tsung Chen
- Department of Life Sciences, National University of Kaohsiung, Kaohsiung, Taiwan
| | - Mohammed Nasser Alyemeni
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Parvaiz Ahmad
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
- Department of Botany, S.P. College, Srinagar, Jammu and Kashmir, India
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Pradhan AK, Kumar S, Singh AK, Budhlakoti N, Mishra DC, Chauhan D, Mittal S, Grover M, Kumar S, Gangwar OP, Kumar S, Gupta A, Bhardwaj SC, Rai A, Singh K. Identification of QTLs/Defense Genes Effective at Seedling Stage Against Prevailing Races of Wheat Stripe Rust in India. Front Genet 2020; 11:572975. [PMID: 33329711 PMCID: PMC7728992 DOI: 10.3389/fgene.2020.572975] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 09/30/2020] [Indexed: 01/06/2023] Open
Abstract
Resistance in modern wheat cultivars for stripe rust is not long lasting due to the narrow genetic base and periodical evolution of new pathogenic races. Though nearly 83 Yr genes conferring resistance to stripe rust have been cataloged so far, few of them have been mapped and utilized in breeding programs. Characterization of wheat germplasm for novel sources of resistance and their incorporation into elite cultivars is required to achieve durable resistance and thus to minimize the yield losses. Here, a genome-wide association study (GWAS) was performed on a set of 391 germplasm lines with the aim to identify quantitative trait loci (QTL) using 35K Axiom® array. Phenotypic evaluation disease severity against four stripe rust pathotypes, i.e., 46S119, 110S119, 238S119, and 47S103 (T) at the seedling stage in a greenhouse providing optimal conditions was carried out consecutively for 2 years (2018 and 2019 winter season). We identified, a total of 17 promising QTl which passed FDR criteria. Moreover these 17 QTL identified in the current study were mapped at different genomic locations i.e. 1B, 2A, 2B, 2D, 3A, 3B, 3D, 4B, 5B and 6B. These 17 QTLs identified in the present study might play a key role in marker-assisted breeding for developing stripe rust resistant wheat cultivars.
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Affiliation(s)
- Anjan Kumar Pradhan
- Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sundeep Kumar
- Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Amit Kumar Singh
- Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Neeraj Budhlakoti
- Indian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dwijesh C Mishra
- Indian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Divya Chauhan
- Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Shikha Mittal
- Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Monendra Grover
- Indian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Suneel Kumar
- Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Om P Gangwar
- Indian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, India
| | - Subodh Kumar
- Indian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, India
| | - Arun Gupta
- Indian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India
| | - Subhash C Bhardwaj
- Indian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, India
| | - Anil Rai
- Indian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Kuldeep Singh
- Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
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Ayalew H, Sorrells ME, Carver BF, Baenziger PS, Ma XF. Selection signatures across seven decades of hard winter wheat breeding in the Great Plains of the United States. THE PLANT GENOME 2020; 13:e20032. [PMID: 33217215 DOI: 10.1002/tpg2.20032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 04/15/2020] [Accepted: 05/07/2020] [Indexed: 06/11/2023]
Abstract
Classical plant breeding has been instrumental in changing the genetic makeup of crop plants for better ecological adaptation and improved quality. This paper provides insights of the genomic changes effected in hard winter wheat (Triticum aestivum L.) through decades of breeding and selection in the Great Plains of the United States. Population structure and differentiation analyses were conducted on 185 wheat cultivars released from 1943 to 2013. Cultivars were grouped into four distinct clusters using discriminant analysis of principal components (DAPC). One of the clusters was unique in that 15 out of the 18 individuals were recent releases (2000-2010), while 12 of the 18 shared the cultivar 'Jagger' in their genetic background. Jagger carries a 2NS/2AS translocation segment from Aegilops ventricosa, an important segment for resistance to several foliar diseases. Using the outlier approach, Wright's population fixation index (Fst) identified 450 loci that were directionally selected. The largest signature of selection was found on chromosome 2A. Genetic diversity was high while the inbreeding coefficient was low, indicating extensive hybridization and germplasm exchange among breeding programs within the region. Foliar disease pressure and selection for resistance helped shape the microevolution of wheat in the southern Great Plains. The results showed that high genetic diversity remains in hard winter wheat cultivars adapted to the Great Plains of the USA, and modern plant breeding did not cause any sizable reduction in genetic diversity of the crop in this region.
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Affiliation(s)
| | - Mark E Sorrells
- Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
| | - Brett F Carver
- Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, 74078, USA
| | - P Stephen Baenziger
- Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, 68583, USA
| | - Xue-Feng Ma
- Noble Research Institute, Ardmore, OK, 73401, USA
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Kumar S, Kumari J, Bhusal N, Pradhan AK, Budhlakoti N, Mishra DC, Chauhan D, Kumar S, Singh AK, Reynolds M, Singh GP, Singh K, Sareen S. Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions. FRONTIERS IN PLANT SCIENCE 2020; 11:549743. [PMID: 33042178 PMCID: PMC7527491 DOI: 10.3389/fpls.2020.549743] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 08/27/2020] [Indexed: 06/11/2023]
Abstract
Poor understanding of the genetic and molecular basis of heat tolerance component traits is a major bottleneck in designing heat tolerant wheat cultivars. The impact of terminal heat stress is generally reported in the case of late sown wheat. In this study, our aim was to identify genomic regions for various agronomic traits under late sown conditions by using genome-wide association approach. An association mapping panel of 205 wheat accessions was evaluated under late sown conditions at three different locations in India. Genotyping of the association panel revealed 15,886 SNPs, out of which 11,911 SNPs with exact physical locations on the wheat reference genome were used in association analysis. A total of 69 QTLs (10 significantly associated and 59 suggestive) were identified for ten different traits including productive tiller number (17), grain yield (14), plant height (12), grain filling rate (6), grain filling duration (5), days to physiological maturity (4), grain number (3), thousand grain weight (3), harvest index (3), and biomass (2). Out of these associated QTLs, 17 were novel for traits, namely PTL (3), GY (2), GFR (6), HI (3) and GNM (3). Moreover, five consistent QTLs across environments were identified for GY (4) and TGW (1). Also, 11 multi-trait SNPs and three hot spot regions on Chr1Ds, Chr2BS, Chr2DS harboring many QTLs for many traits were identified. In addition, identification of heat tolerant germplasm lines based on favorable alleles HD2888, IC611071, IC611273, IC75240, IC321906, IC416188, and J31-170 would facilitate their targeted introgression into popular wheat cultivars. The significantly associated QTLs identified in the present study can be further validated to identify robust markers for utilization in marker-assisted selection (MAS) for development of heat tolerant wheat cultivars.
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Affiliation(s)
- Sundeep Kumar
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Jyoti Kumari
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Nabin Bhusal
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | | | - Neeraj Budhlakoti
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | | | - Divya Chauhan
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Suneel Kumar
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Amit Kumar Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Mathew Reynolds
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, Mexico
| | | | - Kuldeep Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sindhu Sareen
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
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23
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Duarte-Delgado D, Dadshani S, Schoof H, Oyiga BC, Schneider M, Mathew B, Léon J, Ballvora A. Transcriptome profiling at osmotic and ionic phases of salt stress response in bread wheat uncovers trait-specific candidate genes. BMC PLANT BIOLOGY 2020; 20:428. [PMID: 32938380 PMCID: PMC7493341 DOI: 10.1186/s12870-020-02616-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 08/19/2020] [Indexed: 05/17/2023]
Abstract
BACKGROUND Bread wheat is one of the most important crops for the human diet, but the increasing soil salinization is causing yield reductions worldwide. Improving salt stress tolerance in wheat requires the elucidation of the mechanistic basis of plant response to this abiotic stress factor. Although several studies have been performed to analyze wheat adaptation to salt stress, there are still some gaps to fully understand the molecular mechanisms from initial signal perception to the onset of responsive tolerance pathways. The main objective of this study is to exploit the dynamic salt stress transcriptome in underlying QTL regions to uncover candidate genes controlling salt stress tolerance in bread wheat. The massive analysis of 3'-ends sequencing protocol was used to analyze leave samples at osmotic and ionic phases. Afterward, stress-responsive genes overlapping QTL for salt stress-related traits in two mapping populations were identified. RESULTS Among the over-represented salt-responsive gene categories, the early up-regulation of calcium-binding and cell wall synthesis genes found in the tolerant genotype are presumably strategies to cope with the salt-related osmotic stress. On the other hand, the down-regulation of photosynthesis-related and calcium-binding genes, and the increased oxidative stress response in the susceptible genotype are linked with the greater photosynthesis inhibition at the osmotic phase. The specific up-regulation of some ABC transporters and Na+/Ca2+ exchangers in the tolerant genotype at the ionic stage indicates their involvement in mechanisms of sodium exclusion and homeostasis. Moreover, genes related to protein synthesis and breakdown were identified at both stress phases. Based on the linkage disequilibrium blocks, salt-responsive genes within QTL intervals were identified as potential components operating in pathways leading to salt stress tolerance. Furthermore, this study conferred evidence of novel regions with transcription in bread wheat. CONCLUSION The dynamic transcriptome analysis allowed the comparison of osmotic and ionic phases of the salt stress response and gave insights into key molecular mechanisms involved in the salt stress adaptation of contrasting bread wheat genotypes. The leveraging of the highly contiguous chromosome-level reference genome sequence assembly facilitated the QTL dissection by targeting novel candidate genes for salt tolerance.
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Affiliation(s)
| | - Said Dadshani
- INRES-Plant Breeding, University of Bonn, Bonn, Germany
| | - Heiko Schoof
- INRES-Crop Bioinformatics, University of Bonn, Bonn, Germany
| | | | | | - Boby Mathew
- INRES-Plant Breeding, University of Bonn, Bonn, Germany
| | - Jens Léon
- INRES-Plant Breeding, University of Bonn, Bonn, Germany
| | - Agim Ballvora
- INRES-Plant Breeding, University of Bonn, Bonn, Germany.
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Hernandez J, Meints B, Hayes P. Introgression Breeding in Barley: Perspectives and Case Studies. FRONTIERS IN PLANT SCIENCE 2020; 11:761. [PMID: 32595671 PMCID: PMC7303309 DOI: 10.3389/fpls.2020.00761] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 05/13/2020] [Indexed: 05/04/2023]
Abstract
Changing production scenarios resulting from unstable climatic conditions are challenging crop improvement efforts. A deeper and more practical understanding of plant genetic resources is necessary if these assets are to be used effectively in developing improved varieties. In general, current varieties and potential varieties have a narrow genetic base, making them prone to suffer the consequences of new and different abiotic and biotic stresses that can reduce crop yield and quality. The deployment of genomic technologies and sophisticated statistical analysis procedures has generated a dramatic change in the way we characterize and access genetic diversity in crop plants, including barley. Various mapping strategies can be used to identify the genetic variants that lead to target phenotypes and these variants can be assigned coordinates in reference genomes. In this way, new genes and/or new alleles at known loci present in wild ancestors, germplasm accessions, land races, and un-adapted introductions can be located and targeted for introgression. In principle, the introgression process can now be streamlined and linkage drag reduced. In this review, we present an overview of (1) past and current efforts to identify diversity that can be tapped to improve barley yield and quality, and (2) case studies of our efforts to introgress resistance to stripe and stem rust from un-adapted germplasm. We conclude with a description of a modified Nested Association Mapping (NAM) population strategy that we are implementing for the development of multi-use naked barley for organic systems and share perspectives on the use of genome editing in introgression breeding.
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Affiliation(s)
- Javier Hernandez
- Department Crop and Soil Science, Oregon State University, Corvallis, OR, United States
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25
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Kumar D, Kumar A, Chhokar V, Gangwar OP, Bhardwaj SC, Sivasamy M, Prasad SVS, Prakasha TL, Khan H, Singh R, Sharma P, Sheoran S, Iquebal MA, Jaiswal S, Angadi UB, Singh G, Rai A, Singh GP, Kumar D, Tiwari R. Genome-Wide Association Studies in Diverse Spring Wheat Panel for Stripe, Stem, and Leaf Rust Resistance. FRONTIERS IN PLANT SCIENCE 2020; 11:748. [PMID: 32582265 PMCID: PMC7286347 DOI: 10.3389/fpls.2020.00748] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 05/12/2020] [Indexed: 05/20/2023]
Abstract
Among several important wheat foliar diseases, Stripe rust (YR), Leaf rust (LR), and Stem rust (SR) have always been an issue of concern to the farmers and wheat breeders. Evolution of virulent pathotypes of these rusts has posed frequent threats to an epidemic. Pyramiding rust-resistant genes are the most economical and environment-friendly approach in postponing this inevitable threat. To achieve durable long term resistance against the three rusts, an attempt in this study was made searching for novel sources of resistant alleles in a panel of 483 spring wheat genotypes. This is a unique and comprehensive study where evaluation of a diverse panel comprising wheat germplasm from various categories and adapted to different wheat agro-climatic zones was challenged with 18 pathotypes of the three rusts with simultaneous screening in field conditions. The panel was genotyped using 35K SNP array and evaluated for each rust at two locations for two consecutive crop seasons. High heritability estimates of disease response were observed between environments for each rust type. A significant effect of population structure in the panel was visible in the disease response. Using a compressed mixed linear model approach, 25 genomic regions were found associated with resistance for at least two rusts. Out of these, seven were associated with all the three rusts on chromosome groups 1 and 6 along with 2B. For resistance against YR, LR, and SR, there were 16, 18, and 27 QTL (quantitative trait loci) identified respectively, associated at least in two out of four environments. Several of these regions got annotated with resistance associated genes viz. NB-LRR, E3-ubiquitin protein ligase, ABC transporter protein, etc. Alien introgressed (on 1B and 3D) and pleiotropic (on 7D) resistance genes were captured in seedling and adult plant disease responses, respectively. The present study demonstrates the use of genome-wide association for identification of a large number of favorable alleles for leaf, stripe, and stem rust resistance for broadening the genetic base. Quick conversion of these QTL into user-friendly markers will accelerate the deployment of these resistance loci in wheat breeding programs.
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Affiliation(s)
- Deepender Kumar
- Department of Bio and Nanotechnology, Guru Jambheshwar University of Science and Technology, Hisar, India
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - Animesh Kumar
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Vinod Chhokar
- Department of Bio and Nanotechnology, Guru Jambheshwar University of Science and Technology, Hisar, India
| | - Om Prakash Gangwar
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, India
| | | | - M. Sivasamy
- ICAR-Indian Agricultural Research Institute, Regional Station, Wellington, India
| | - S. V. Sai Prasad
- ICAR-Indian Agricultural Research Institute, Regional Station, Indore, India
| | - T. L. Prakasha
- ICAR-Indian Agricultural Research Institute, Regional Station, Indore, India
| | - Hanif Khan
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - Rajender Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - Pradeep Sharma
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - Sonia Sheoran
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - Mir Asif Iquebal
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Sarika Jaiswal
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Ulavappa B. Angadi
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Gyanendra Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - Anil Rai
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | | | - Dinesh Kumar
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Ratan Tiwari
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
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26
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Voss-Fels KP, Stahl A, Wittkop B, Lichthardt C, Nagler S, Rose T, Chen TW, Zetzsche H, Seddig S, Majid Baig M, Ballvora A, Frisch M, Ross E, Hayes BJ, Hayden MJ, Ordon F, Leon J, Kage H, Friedt W, Stützel H, Snowdon RJ. Breeding improves wheat productivity under contrasting agrochemical input levels. NATURE PLANTS 2019; 5:706-714. [PMID: 31209285 DOI: 10.1038/s41477-019-0445-5] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 05/10/2019] [Indexed: 05/22/2023]
Abstract
The world cropping area for wheat exceeds that of any other crop, and high grain yields in intensive wheat cropping systems are essential for global food security. Breeding has raised yields dramatically in high-input production systems; however, selection under optimal growth conditions is widely believed to diminish the adaptive capacity of cultivars to less optimal cropping environments. Here, we demonstrate, in a large-scale study spanning five decades of wheat breeding progress in western Europe, where grain yields are among the highest worldwide, that breeding for high performance in fact enhances cultivar performance not only under optimal production conditions but also in production systems with reduced agrochemical inputs. New cultivars incrementally accumulated genetic variants conferring favourable effects on key yield parameters, disease resistance, nutrient use efficiency, photosynthetic efficiency and grain quality. Combining beneficial, genome-wide haplotypes could help breeders to more efficiently exploit available genetic variation, optimizing future yield potential in more sustainable production systems.
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Affiliation(s)
- Kai P Voss-Fels
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Queensland, Australia
| | - Andreas Stahl
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Benjamin Wittkop
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Carolin Lichthardt
- Institute of Horticultural Production Systems, Leibniz University Hannover, Hannover, Germany
| | - Sabrina Nagler
- Department of Agronomy and Crop Science, Christian Albrechts University of Kiel, Kiel, Germany
| | - Till Rose
- Department of Agronomy and Crop Science, Christian Albrechts University of Kiel, Kiel, Germany
| | - Tsu-Wei Chen
- Institute of Horticultural Production Systems, Leibniz University Hannover, Hannover, Germany
| | - Holger Zetzsche
- Julius Kuehn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
| | - Sylvia Seddig
- Julius Kuehn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Sanitz, Germany
| | - Mirza Majid Baig
- Institute of Crop Science and Resource Conservation, Chair of Plant Breeding, University of Bonn, Bonn, Germany
| | - Agim Ballvora
- Institute of Crop Science and Resource Conservation, Chair of Plant Breeding, University of Bonn, Bonn, Germany
| | - Matthias Frisch
- Institute for Agronomy and Plant Breeding II, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Elizabeth Ross
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Queensland, Australia
| | - Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Queensland, Australia
| | - Matthew J Hayden
- School of Applied Systems Biology, AgriBio, La Trobe University, Melbourne, Victoria, Australia
| | - Frank Ordon
- Julius Kuehn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
| | - Jens Leon
- Institute of Crop Science and Resource Conservation, Chair of Plant Breeding, University of Bonn, Bonn, Germany
- Field Lab Campus Klein-Altendorf, University of Bonn, Rheinbach, Germany
| | - Henning Kage
- Department of Agronomy and Crop Science, Christian Albrechts University of Kiel, Kiel, Germany
| | - Wolfgang Friedt
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany.
| | - Hartmut Stützel
- Institute of Horticultural Production Systems, Leibniz University Hannover, Hannover, Germany.
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany.
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27
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Venske E, dos Santos RS, Busanello C, Gustafson P, Costa de Oliveira A. Bread wheat: a role model for plant domestication and breeding. Hereditas 2019; 156:16. [PMID: 31160891 PMCID: PMC6542105 DOI: 10.1186/s41065-019-0093-9] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 05/20/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Bread wheat is one of the most important crops in the world. Its domestication coincides with the beginning of agriculture and since then, it has been constantly under selection by humans. Its breeding has followed millennia of cultivation, sometimes with unintended selection on adaptive traits, and later by applying intentional but empirical selective pressures. For more than one century, wheat breeding has been based on science, and has been constantly evolving due to on farm agronomy and breeding program improvements. The aim of this work is to briefly review wheat breeding, with emphasis on the current advances. DISCUSSION Improving yield potential, resistance/tolerance to biotic and abiotic stresses, and baking quality, have been priorities for breeding this cereal, however, new objectives are arising, such as biofortification enhancement. The narrow genetic diversity and complexity of its genome have hampered the breeding progress and the application of biotechnology. Old approaches, such as the introgression from relative species, mutagenesis, and hybrid breeding are strongly reappearing, motivated by an accumulation of knowledge and new technologies. A revolution has taken place regarding the use of molecular markers whereby thousands of plants can be routinely genotyped for thousands of loci. After 13 years, the wheat reference genome sequence and annotation has finally been completed, and is currently available to the scientific community. Transgenics, an unusual approach for wheat improvement, still represents a potential tool, however it is being replaced by gene editing, whose technology along with genomic selection, speed breeding, and high-throughput phenotyping make up the most recent frontiers for future wheat improvement. FINAL CONSIDERATION Agriculture and plant breeding are constantly evolving, wheat has played a major role in these processes and will continue through decades to come.
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Affiliation(s)
- Eduardo Venske
- Plant Genomics and Breeding Center, Crop Science Department, Eliseu Maciel College of Agronomy, Federal University of Pelotas, Capão do Leão Campus, Capão do Leão, Rio Grande do Sul 96010-610 Brazil
| | - Railson Schreinert dos Santos
- Plant Genomics and Breeding Center, Crop Science Department, Eliseu Maciel College of Agronomy, Federal University of Pelotas, Capão do Leão Campus, Capão do Leão, Rio Grande do Sul 96010-610 Brazil
| | - Carlos Busanello
- Plant Genomics and Breeding Center, Crop Science Department, Eliseu Maciel College of Agronomy, Federal University of Pelotas, Capão do Leão Campus, Capão do Leão, Rio Grande do Sul 96010-610 Brazil
| | - Perry Gustafson
- Plant Sciences Division, 1–32 Agriculture, University of Missouri, Columbia, MO 65211 USA
| | - Antonio Costa de Oliveira
- Plant Genomics and Breeding Center, Crop Science Department, Eliseu Maciel College of Agronomy, Federal University of Pelotas, Capão do Leão Campus, Capão do Leão, Rio Grande do Sul 96010-610 Brazil
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28
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Mirzaghaderi G, Mason AS. Broadening the bread wheat D genome. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:1295-1307. [PMID: 30739154 DOI: 10.1007/s00122-019-03299-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Accepted: 02/02/2019] [Indexed: 05/21/2023]
Abstract
Although Ae. tauschii has been extensively utilised for wheat breeding, the D-genome-containing allopolyploids have largely remained unexploited. In this review, we discuss approaches that can be used to exploit the D genomes of the different Aegilops species for the improvement of bread wheat. The D genome of allohexaploid bread wheat (Triticum aestivum, 2n = AABBDD) is the least diverse of the three wheat genomes and is unarguably less diverse than that of diploid progenitor Aegilops tauschii (2n = DD). Useful genetic variation and phenotypic traits also exist within each of the wheat group species containing a copy of the D genome: allopolyploid Aegilops species Ae. cylindrica (2n = DcDcCcCc), Ae. crassa 4x (2n = D1D1XcrXcr), Ae. crassa 6x (2n = D1D1XcrXcrDcrDcr), Ae. ventricosa (2n = DvDvNvNv), Ae. vavilovii (2n = D1D1XcrXcrSvSv) and Ae. juvenalis (2n = D1D1XcrXcrUjUj). Although Ae. tauschii has been extensively utilised for wheat breeding, the D-genome-containing allopolyploids have largely remained unexploited. Some of these D genomes appear to be modified relative to the bread wheat and Ae. tauschii D genomes, and others present in the allopolyploids may also contain useful variation as a result of adaptation to an allopolyploid, multi-genome environment. We summarise the genetic relationships, karyotypic variation and phenotypic traits known to be present in each of the D genome species that could be of relevance for bread wheat improvement and discuss approaches that can be used to exploit the D genomes of the different Aegilops species for the improvement of bread wheat. Better understanding of factors controlling chromosome inheritance and recombination in wheat group interspecific hybrids, as well as effective utilisation of new and developing genetics and genomics technologies, have great potential to improve the agronomic potential of the bread wheat D genome.
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Affiliation(s)
- Ghader Mirzaghaderi
- Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Kurdistan, P. O. Box 416, Sanandaj, Iran.
| | - Annaliese S Mason
- Department of Plant Breeding, Justus Liebig University, IFZ Research Centre for Biosystems, Land Use and Nutrition, Heinrich-Buff-Ring 26-32, Giessen, 35392, Germany
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Dinglasan EG, Singh D, Shankar M, Afanasenko O, Platz G, Godwin ID, Voss-Fels KP, Hickey LT. Discovering new alleles for yellow spot resistance in the Vavilov wheat collection. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:149-162. [PMID: 30327845 DOI: 10.1007/s00122-018-3204-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Accepted: 10/09/2018] [Indexed: 06/08/2023]
Abstract
GWAS detected 11 yellow spot resistance QTL in the Vavilov wheat collection. Promising adult-plant resistance loci could provide a sustainable genetic solution to yellow spot in modern wheat varieties. Yellow spot, caused by the fungal pathogen Pyrenophora tritici-repentis (Ptr), is the most economically damaging foliar disease of wheat in Australia. Genetic resistance is considered to be the most sustainable means for disease management, yet the genomic regions underpinning resistance to Ptr, particularly adult-plant resistance (APR), remain vastly unknown. In this study, we report results of a genome-wide association study using 295 accessions from the Vavilov wheat collection which were extensively tested for response to Ptr infections in glasshouse and field trials at both seedling an adult growth stages. Combining phenotypic datasets from multiple experiments in Australia and Russia with 25,286 genome-wide, high-quality DArTseq markers, we detected a total of 11 QTL, of which 5 were associated with seedling resistance, 3 with all-stage resistance, and 3 with APR. Interestingly, the novel APR QTL were effective even in the presence of host sensitivity gene Tsn1. These genomic regions could offer broad-spectrum yellow spot protection, not just to ToxA but also other pathogenicity or virulence factors. Vavilov wheat accessions carrying APR QTL combinations displayed enhanced levels of resistance highlighting the potential for QTL stacking through breeding. We propose that the APR genetic factors discovered in our study could be used to improve resistance levels in modern wheat varieties and contribute to the sustainable control of yellow spot.
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Affiliation(s)
- Eric G Dinglasan
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD, Australia
| | - Dharmendra Singh
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD, Australia
| | - Manisha Shankar
- Department of Primary Industries and Regional Development, South Perth, WA, Australia
- School of Agriculture and Environment, University of Western Australia, Crawley, WA, Australia
| | - Olga Afanasenko
- Department of Plant Resistance to Diseases, All-Russian Research Institute of Plant Protection, St. Petersburg, Russia
| | - Greg Platz
- Department of Agriculture and Fisheries, Hermitage Research Facility (HRF), Warwick, QLD, Australia
| | - Ian D Godwin
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD, Australia
- School of Agriculture and Food Sciences, The University of Queensland, St. Lucia, QLD, Australia
| | - Kai P Voss-Fels
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD, Australia.
| | - Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD, Australia.
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Lehnert H, Serfling A, Friedt W, Ordon F. Genome-Wide Association Studies Reveal Genomic Regions Associated With the Response of Wheat ( Triticum aestivum L.) to Mycorrhizae Under Drought Stress Conditions. FRONTIERS IN PLANT SCIENCE 2018; 9:1728. [PMID: 30568663 PMCID: PMC6290350 DOI: 10.3389/fpls.2018.01728] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 11/07/2018] [Indexed: 05/06/2023]
Abstract
In the majority of wheat growing areas worldwide, the incidence of drought stress has increased significantly resulting in a negative impact on plant development and grain yield. Arbuscular mycorrhizal symbiosis is known to improve drought stress tolerance of wheat. However, quantitative trait loci (QTL) involved in the response to drought stress conditions in the presence of mycorrhizae are largely unknown. Therefore, a diverse set consisting of 94 bread wheat genotypes was phenotyped under drought stress and well watered conditions in the presence and absence of mycorrhizae. Grain yield and yield components, drought stress related traits as well as response to mycorrhizae were assessed. In parallel, wheat accessions were genotyped by using the 90k iSelect chip, resulting in a set of 15511 polymorphic and mapped SNP markers, which were used for genome-wide association studies (GWAS). In general, drought stress tolerance of wheat was significantly increased in the presence of mycorrhizae compared to drought stress tolerance in the absence of mycorrhizae. However, genotypes differed in their response to mycorrhizae under drought stress conditions. Several QTL regions on different chromosomes were detected associated with grain yield and yield components under drought stress conditions. Furthermore, two genome regions on chromosomes 3D and 7D were found to be significantly associated with the response to mycorrhizae under drought stress conditions. Overall, the results reveal that inoculation of wheat with mycorrhizal fungi significantly improves drought stress tolerance and that QTL regions associated with the response to mycorrhizae under drought stress conditions exist in wheat. Further research is necessary to validate detected QTL regions. However, this study may be the starting point for the identification of candidate genes associated with drought stress tolerance and response to mycorrhizae under drought stress conditions. Maybe in future, these initial results will help to contribute to use mycorrhizal fungi effectively in agriculture and combine new approaches i.e., use of genotypic variation in response to mycorrhizae under drought stress conditions with existing drought tolerance breeding programs to develop new drought stress tolerant genotypes.
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Affiliation(s)
- Heike Lehnert
- Institute of Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Julius Kühn-Institute (JKI), Quedlinburg, Germany
| | - Albrecht Serfling
- Institute of Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Julius Kühn-Institute (JKI), Quedlinburg, Germany
| | - Wolfgang Friedt
- IFZ Research Centre for Biosystems, Land Use and Nutrition, Plant Breeding Department, Justus Liebig University, Gießen, Germany
| | - Frank Ordon
- Institute of Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Julius Kühn-Institute (JKI), Quedlinburg, Germany
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31
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Voss-Fels KP, Qian L, Gabur I, Obermeier C, Hickey LT, Werner CR, Kontowski S, Frisch M, Friedt W, Snowdon RJ, Gottwald S. Genetic insights into underground responses to Fusarium graminearum infection in wheat. Sci Rep 2018; 8:13153. [PMID: 30177750 PMCID: PMC6120866 DOI: 10.1038/s41598-018-31544-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 08/19/2018] [Indexed: 11/16/2022] Open
Abstract
The ongoing global intensification of wheat production will likely be accompanied by a rising pressure of Fusarium diseases. While utmost attention was given to Fusarium head blight (FHB) belowground plant infections of the pathogen have largely been ignored. The current knowledge about the impact of soil borne Fusarium infection on plant performance and the underlying genetic mechanisms for resistance remain very limited. Here, we present the first large-scale investigation of Fusarium root rot (FRR) resistance using a diverse panel of 215 international wheat lines. We obtained data for a total of 21 resistance-related traits, including large-scale Real-time PCR experiments to quantify fungal spread. Association mapping and subsequent haplotype analyses discovered a number of highly conserved genomic regions associated with resistance, and revealed a significant effect of allele stacking on the stembase discoloration. Resistance alleles were accumulated in European winter wheat germplasm, implying indirect prior selection for improved FRR resistance in elite breeding programs. Our results give first insights into the genetic basis of FRR resistance in wheat and demonstrate how molecular parameters can successfully be explored in genomic prediction. Ongoing work will help to further improve our understanding of the complex interactions of genetic factors influencing FRR resistance.
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Affiliation(s)
- Kai P Voss-Fels
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany.
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia.
| | - Lunwen Qian
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
- Collaborative Innovation Center of Grain and Oil Crops in South China, Hunan Agricultural University, Changsha, 410128, P.R. China
| | - Iulian Gabur
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Christian Obermeier
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Christian R Werner
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Stefan Kontowski
- W. von Borries-Eckendorf GmbH & Co. KG, Hovedisser Str. 92, 33818, Leopoldshöhe, Germany
| | - Matthias Frisch
- Institute for Agronomy and Plant Breeding II, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Wolfgang Friedt
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Sven Gottwald
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
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32
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Malmberg MM, Shi F, Spangenberg GC, Daetwyler HD, Cogan NOI. Diversity and Genome Analysis of Australian and Global Oilseed Brassica napus L. Germplasm Using Transcriptomics and Whole Genome Re-sequencing. FRONTIERS IN PLANT SCIENCE 2018; 9:508. [PMID: 29725344 PMCID: PMC5917405 DOI: 10.3389/fpls.2018.00508] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 04/03/2018] [Indexed: 05/21/2023]
Abstract
Intensive breeding of Brassica napus has resulted in relatively low diversity, such that B. napus would benefit from germplasm improvement schemes that sustain diversity. As such, samples representative of global germplasm pools need to be assessed for existing population structure, diversity and linkage disequilibrium (LD). Complexity reduction genotyping-by-sequencing (GBS) methods, including GBS-transcriptomics (GBS-t), enable cost-effective screening of a large number of samples, while whole genome re-sequencing (WGR) delivers the ability to generate large numbers of unbiased genomic single nucleotide polymorphisms (SNPs), and identify structural variants (SVs). Furthermore, the development of genomic tools based on whole genomes representative of global oilseed diversity and orientated by the reference genome has substantial industry relevance and will be highly beneficial for canola breeding. As recent studies have focused on European and Chinese varieties, a global diversity panel as well as a substantial number of Australian spring types were included in this study. Focusing on industry relevance, 633 varieties were initially genotyped using GBS-t to examine population structure using 61,037 SNPs. Subsequently, 149 samples representative of global diversity were selected for WGR and both data sets used for a side-by-side evaluation of diversity and LD. The WGR data was further used to develop genomic resources consisting of a list of 4,029,750 high-confidence SNPs annotated using SnpEff, and SVs in the form of 10,976 deletions and 2,556 insertions. These resources form the basis of a reliable and repeatable system allowing greater integration between canola genomics studies, with a strong focus on breeding germplasm and industry applicability.
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Affiliation(s)
- M. Michelle Malmberg
- AgriBio, Centre for AgriBioscience, Agriculture Victoria, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Fan Shi
- AgriBio, Centre for AgriBioscience, Agriculture Victoria, Bundoora, VIC, Australia
| | - German C. Spangenberg
- AgriBio, Centre for AgriBioscience, Agriculture Victoria, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Hans D. Daetwyler
- AgriBio, Centre for AgriBioscience, Agriculture Victoria, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Noel O. I. Cogan
- AgriBio, Centre for AgriBioscience, Agriculture Victoria, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
- *Correspondence: Noel O. I. Cogan,
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33
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Riaz A, Athiyannan N, Periyannan SK, Afanasenko O, Mitrofanova OP, Platz GJ, Aitken EAB, Snowdon RJ, Lagudah ES, Hickey LT, Voss-Fels KP. Unlocking new alleles for leaf rust resistance in the Vavilov wheat collection. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:127-144. [PMID: 28980023 DOI: 10.1007/s00122-017-2990-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 09/21/2017] [Indexed: 05/06/2023]
Abstract
Thirteen potentially new leaf rust resistance loci were identified in a Vavilov wheat diversity panel. We demonstrated the potential of allele stacking to strengthen resistance against this important pathogen. Leaf rust (LR) caused by Puccinia triticina is an important disease of wheat (Triticum aestivum L.), and the deployment of genetically resistant cultivars is the most viable strategy to minimise yield losses. In this study, we evaluated a diversity panel of 295 bread wheat accessions from the N. I. Vavilov Institute of Plant Genetic Resources (St Petersburg, Russia) for LR resistance and performed genome-wide association studies (GWAS) using 10,748 polymorphic DArT-seq markers. The diversity panel was evaluated at seedling and adult plant growth stages using three P. triticina pathotypes prevalent in Australia. GWAS was applied to 11 phenotypic data sets which identified a total of 52 significant marker-trait associations representing 31 quantitative trait loci (QTL). Among them, 29 QTL were associated with adult plant resistance (APR). Of the 31 QTL, 13 were considered potentially new loci, whereas 4 co-located with previously catalogued Lr genes and 14 aligned to regions reported in other GWAS and genomic prediction studies. One seedling LR resistance QTL located on chromosome 3A showed pronounced levels of linkage disequilibrium among markers (r 2 = 0.7), suggested a high allelic fixation. Subsequent haplotype analysis for this region found seven haplotype variants, of which two were strongly associated with LR resistance at seedling stage. Similarly, analysis of an APR QTL on chromosome 7B revealed 22 variants, of which 4 were associated with resistance at the adult plant stage. Furthermore, most of the tested lines in the diversity panel carried 10 or more combined resistance-associated marker alleles, highlighting the potential of allele stacking for long-lasting resistance.
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Affiliation(s)
- Adnan Riaz
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Naveenkumar Athiyannan
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
- Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, Canberra, ACT, Australia
| | - Sambasivam K Periyannan
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
- Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, Canberra, ACT, Australia
| | - Olga Afanasenko
- Department of Plant Resistance to Diseases, All-Russian Research Institute for Plant Protection, St Petersburg, Russia
| | - Olga P Mitrofanova
- N. I. Vavilov Institute of Plant Genetic Resources, St Petersburg, Russia
| | - Gregory J Platz
- Department of Agriculture and Fisheries, Hermitage Research Facility, Warwick, QLD, Australia
| | - Elizabeth A B Aitken
- School of Agriculture and Food Sciences, The University of Queensland, St Lucia, QLD, Australia
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Evans S Lagudah
- Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, Canberra, ACT, Australia
| | - Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
| | - Kai P Voss-Fels
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany.
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Qian L, Hickey LT, Stahl A, Werner CR, Hayes B, Snowdon RJ, Voss-Fels KP. Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops. FRONTIERS IN PLANT SCIENCE 2017; 8:1534. [PMID: 28928764 PMCID: PMC5591830 DOI: 10.3389/fpls.2017.01534] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 08/22/2017] [Indexed: 05/19/2023]
Abstract
In order to meet future food, feed, fiber, and bioenergy demands, global yields of all major crops need to be increased significantly. At the same time, the increasing frequency of extreme weather events such as heat and drought necessitates improvements in the environmental resilience of modern crop cultivars. Achieving sustainably increase yields implies rapid improvement of quantitative traits with a very complex genetic architecture and strong environmental interaction. Latest advances in genome analysis technologies today provide molecular information at an ultrahigh resolution, revolutionizing crop genomic research, and paving the way for advanced quantitative genetic approaches. These include highly detailed assessment of population structure and genotypic diversity, facilitating the identification of selective sweeps and signatures of directional selection, dissection of genetic variants that underlie important agronomic traits, and genomic selection (GS) strategies that not only consider major-effect genes. Single-nucleotide polymorphism (SNP) markers today represent the genotyping system of choice for crop genetic studies because they occur abundantly in plant genomes and are easy to detect. SNPs are typically biallelic, however, hence their information content compared to multiallelic markers is low, limiting the resolution at which SNP-trait relationships can be delineated. An efficient way to overcome this limitation is to construct haplotypes based on linkage disequilibrium, one of the most important features influencing genetic analyses of crop genomes. Here, we give an overview of the latest advances in genomics-based haplotype analyses in crops, highlighting their importance in the context of polyploidy and genome evolution, linkage drag, and co-selection. We provide examples of how haplotype analyses can complement well-established quantitative genetics frameworks, such as quantitative trait analysis and GS, ultimately providing an effective tool to equip modern crops with environment-tailored characteristics.
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Affiliation(s)
- Lunwen Qian
- Collaborative Innovation Center of Grain and Oil Crops in South China, Hunan Agricultural UniversityChangsha, China
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University GiessenGiessen, Germany
| | - Lee T. Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St LuciaQLD, Australia
| | - Andreas Stahl
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University GiessenGiessen, Germany
| | - Christian R. Werner
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University GiessenGiessen, Germany
| | - Ben Hayes
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St LuciaQLD, Australia
| | - Rod J. Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University GiessenGiessen, Germany
| | - Kai P. Voss-Fels
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University GiessenGiessen, Germany
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St LuciaQLD, Australia
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35
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Voss-Fels KP, Qian L, Parra-Londono S, Uptmoor R, Frisch M, Keeble-Gagnère G, Appels R, Snowdon RJ. Linkage drag constrains the roots of modern wheat. PLANT, CELL & ENVIRONMENT 2017; 40:717-725. [PMID: 28036107 DOI: 10.1111/pce.12888] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Revised: 12/20/2016] [Accepted: 12/21/2016] [Indexed: 05/19/2023]
Abstract
Roots, the hidden half of crop plants, are essential for resource acquisition. However, knowledge about the genetic control of below-ground plant development in wheat, one of the most important small-grain crops in the world, is very limited. The molecular interactions connecting root and shoot development and growth, and thus modulating the plant's demand for water and nutrients along with its ability to access them, are largely unexplored. Here, we demonstrate that linkage drag in European bread wheat, driven by strong selection for a haplotype variant controlling heading date, has eliminated a specific combination of two flanking, highly conserved haplotype variants whose interaction confers increased root biomass. Reversing this inadvertent consequence of selection could recover root diversity that may prove essential for future food production in fluctuating environments. Highly conserved synteny to rice across this chromosome segment suggests that adaptive selection has shaped the diversity landscape of this locus across different, globally important cereal crops. By mining wheat gene expression data, we identified root-expressed genes within the region of interest that could help breeders to select positive variants adapted to specific target soil environments.
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Affiliation(s)
- Kai P Voss-Fels
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Lunwen Qian
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Sebastian Parra-Londono
- Department of Agronomy, University of Rostock, Justus-von-Liebig-Weg 6, 18059, Rostock, Germany
| | - Ralf Uptmoor
- Department of Agronomy, University of Rostock, Justus-von-Liebig-Weg 6, 18059, Rostock, Germany
| | - Matthias Frisch
- Department of Biometry and Population Genetics, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
| | - Gabriel Keeble-Gagnère
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport and Resources (DEDJTR), Bundoora, Victoria, 3083, Australia
| | - Rudi Appels
- State Agriculture Biotechnology Centre, School of Veterinary and Life Sciences, Murdoch University, Australia Export Grains Innovation Centre (AEGIC), Perth, WA, 6150, Australia
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany
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36
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Ren J, Chen L, Jin X, Zhang M, You FM, Wang J, Frenkel V, Yin X, Nevo E, Sun D, Luo MC, Peng J. Solar Radiation-Associated Adaptive SNP Genetic Differentiation in Wild Emmer Wheat, Triticum dicoccoides. FRONTIERS IN PLANT SCIENCE 2017; 8:258. [PMID: 28352272 PMCID: PMC5348526 DOI: 10.3389/fpls.2017.00258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 02/10/2017] [Indexed: 05/06/2023]
Abstract
Whole-genome scans with large number of genetic markers provide the opportunity to investigate local adaptation in natural populations and identify candidate genes under positive selection. In the present study, adaptation genetic differentiation associated with solar radiation was investigated using 695 polymorphic SNP markers in wild emmer wheat originated in a micro-site at Yehudiyya, Israel. The test involved two solar radiation niches: (1) sun, in-between trees; and (2) shade, under tree canopy, separated apart by a distance of 2-4 m. Analysis of molecular variance showed a small (0.53%) but significant portion of overall variation between the sun and shade micro-niches, indicating a non-ignorable genetic differentiation between sun and shade habitats. Fifty SNP markers showed a medium (0.05 ≤ FST ≤ 0.15) or high genetic differentiation (FST > 0.15). A total of 21 outlier loci under positive selection were identified by using four different FST -outlier testing algorithms. The markers and genome locations under positive selection are consistent with the known patterns of selection. These results suggested that genetic differentiation between sun and shade habitats is substantial, radiation-associated, and therefore ecologically determined. Hence, the results of this study reflected effects of natural selection through solar radiation on EST-related SNP genetic diversity, resulting presumably in different adaptive complexes at a micro-scale divergence. The present work highlights the evolutionary theory and application significance of solar radiation-driven natural selection in wheat improvement.
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Affiliation(s)
- Jing Ren
- Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou UniversityDezhou, China
| | - Liang Chen
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Chinese Academy of SciencesWuhan, China
| | - Xiaoli Jin
- Department of Agronomy and the Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang UniversityHangzhou, China
| | - Miaomiao Zhang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Chinese Academy of SciencesWuhan, China
| | - Frank M. You
- Cereal Research Centre, Agriculture and Agri-Food CanadaWinnipeg, MB, Canada
| | - Jirui Wang
- Department of Plant Sciences, University of CaliforniaDavis, CA, USA
| | - Vladimir Frenkel
- Department of Evolutionary and Environmental Biology, Institute of Evolution, University of HaifaHaifa, Israel
| | - Xuegui Yin
- Department of Biotechnology, College of Agriculture, Guangdong Ocean UniversityZhanjiang, China
| | - Eviatar Nevo
- Department of Evolutionary and Environmental Biology, Institute of Evolution, University of HaifaHaifa, Israel
| | - Dongfa Sun
- Department of Agronomy, College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Ming-Cheng Luo
- Department of Plant Sciences, University of CaliforniaDavis, CA, USA
| | - Junhua Peng
- Department of Biotechnology, College of Agriculture, Guangdong Ocean UniversityZhanjiang, China
- The State Key Lab of Crop Breeding Technology Innovation and Integration, China National Seed Group Co. Ltd.Wuhan, China
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37
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Qian L, Voss-Fels K, Cui Y, Jan HU, Samans B, Obermeier C, Qian W, Snowdon RJ. Deletion of a Stay-Green Gene Associates with Adaptive Selection in Brassica napus. MOLECULAR PLANT 2016; 9:1559-1569. [PMID: 27825945 DOI: 10.1016/j.molp.2016.10.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 10/19/2016] [Accepted: 10/20/2016] [Indexed: 05/02/2023]
Abstract
Chlorophyll levels provide important information about plant growth and physiological plasticity in response to changing environments. The stay-green gene NON-YELLOWING 1 (NYE1) is believed to regulate chlorophyll degradation during senescence, concomitantly affecting the disassembly of the light-harvesting complex and hence indirectly influencing photosynthesis. We identified Brassica napus accessions carrying an NYE1 deletion associated with increased chlorophyll content, and with upregulated expression of light-harvesting complex and photosynthetic reaction center (PSI and PSII) genes. Comparative analysis of the seed oil content of accessions with related genetic backgrounds revealed that the B. napus NYE1 gene deletion (bnnye1) affected oil accumulation, and linkage disequilibrium signatures suggested that the locus has been subject to artificial selection by breeding in oilseed B. napus forms. Comparative analysis of haplotype diversity groups (haplogroups) between three different ecotypes of the allopolyploid B. napus and its A-subgenome diploid progenitor, Brassica rapa, indicated that introgression of the bnnye1 deletion from Asian B. rapa into winter-type B. napus may have simultaneously improved its adaptation to cooler environments experienced by autumn-sown rapeseed.
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Affiliation(s)
- Lunwen Qian
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Kai Voss-Fels
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Yixin Cui
- College of Agronomy and Biotechnology, Southwest University, 400716 Chongqing, China
| | - Habib U Jan
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Birgit Samans
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Christian Obermeier
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Wei Qian
- College of Agronomy and Biotechnology, Southwest University, 400716 Chongqing, China
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.
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Qian L, Qian W, Snowdon RJ. Haplotype hitchhiking promotes trait coselection in Brassica napus. PLANT BIOTECHNOLOGY JOURNAL 2016; 14:1578-88. [PMID: 26800855 PMCID: PMC5066645 DOI: 10.1111/pbi.12521] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 11/16/2015] [Accepted: 11/25/2015] [Indexed: 05/18/2023]
Abstract
Local haplotype patterns surrounding densely spaced DNA markers with significant trait associations can reveal information on selective sweeps and genome diversity associated with important crop traits. Relationships between haplotype and phenotype diversity, coupled with analysis of gene content in conserved haplotype blocks, can provide insight into coselection for nonrelated traits. We performed genome-wide analysis of haplotypes associated with the important physiological and agronomic traits leaf chlorophyll and seed glucosinolate content, respectively, in the major oilseed crop species Brassica napus. A locus on chromosome A01 showed opposite effects on leaf chlorophyll content and seed glucosinolate content, attributed to strong linkage disequilibrium (LD) between orthologues of the chlorophyll biosynthesis genes EARLY LIGHT-INDUCED PROTEIN and CHLOROPHYLL SYNTHASE, and the glucosinolate synthesis gene ATP SULFURYLASE 1. Another conserved haplotype block, on chromosome A02, contained a number of chlorophyll-related genes in LD with orthologues of the key glucosinolate biosynthesis genes METHYLTHIOALKYMALATE SYNTHASE-LIKE 1 and 3. Multigene haplogroups were found to have a significantly greater contribution to variation for chlorophyll content than haplotypes for any single gene, suggesting positive effects of additive locus accumulation. Detailed reanalysis of population substructure revealed a clade of ten related accessions exhibiting high leaf chlorophyll and low seed glucosinolate content. These accessions each carried one of the above-mentioned haplotypes from A01 or A02, generally in combination with further chlorophyll-associated haplotypes from chromosomes A05 and/or C05. The phenotypic rather than pleiotropic correlations between leaf chlorophyll content index and seed GSL suggest that LD may have led to inadvertent coselection for these two traits.
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Affiliation(s)
- Lunwen Qian
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Wei Qian
- College of Agronomy and Biotechnology, Southwest University, Chongqing, China
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
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Winfield MO, Allen AM, Burridge AJ, Barker GLA, Benbow HR, Wilkinson PA, Coghill J, Waterfall C, Davassi A, Scopes G, Pirani A, Webster T, Brew F, Bloor C, King J, West C, Griffiths S, King I, Bentley AR, Edwards KJ. High-density SNP genotyping array for hexaploid wheat and its secondary and tertiary gene pool. PLANT BIOTECHNOLOGY JOURNAL 2016; 14:1195-206. [PMID: 26466852 PMCID: PMC4950041 DOI: 10.1111/pbi.12485] [Citation(s) in RCA: 243] [Impact Index Per Article: 30.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 08/21/2015] [Accepted: 09/07/2015] [Indexed: 05/15/2023]
Abstract
In wheat, a lack of genetic diversity between breeding lines has been recognized as a significant block to future yield increases. Species belonging to bread wheat's secondary and tertiary gene pools harbour a much greater level of genetic variability, and are an important source of genes to broaden its genetic base. Introgression of novel genes from progenitors and related species has been widely employed to improve the agronomic characteristics of hexaploid wheat, but this approach has been hampered by a lack of markers that can be used to track introduced chromosome segments. Here, we describe the identification of a large number of single nucleotide polymorphisms that can be used to genotype hexaploid wheat and to identify and track introgressions from a variety of sources. We have validated these markers using an ultra-high-density Axiom(®) genotyping array to characterize a range of diploid, tetraploid and hexaploid wheat accessions and wheat relatives. To facilitate the use of these, both the markers and the associated sequence and genotype information have been made available through an interactive web site.
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Affiliation(s)
| | | | | | | | | | | | - Jane Coghill
- Life Sciences, University of Bristol, Bristol, UK
| | | | | | | | | | | | | | | | - Julie King
- School of Biosciences, Sutton Bonington, Leicestershire, UK
| | - Claire West
- John Innes Centre, Norwich Research Park, Norwich, Norfolk, UK
| | - Simon Griffiths
- John Innes Centre, Norwich Research Park, Norwich, Norfolk, UK
| | - Ian King
- School of Biosciences, Sutton Bonington, Leicestershire, UK
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Voss-Fels K, Snowdon RJ. Understanding and utilizing crop genome diversity via high-resolution genotyping. PLANT BIOTECHNOLOGY JOURNAL 2016; 14:1086-94. [PMID: 27003869 DOI: 10.1111/pbi.12456] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 07/17/2015] [Accepted: 07/20/2015] [Indexed: 05/04/2023]
Abstract
High-resolution genome analysis technologies provide an unprecedented level of insight into structural diversity across crop genomes. Low-cost discovery of sequence variation has become accessible for all crops since the development of next-generation DNA sequencing technologies, using diverse methods ranging from genome-scale resequencing or skim sequencing, reduced-representation genotyping-by-sequencing, transcriptome sequencing or sequence capture approaches. High-density, high-throughput genotyping arrays generated using the resulting sequence data are today available for the assessment of genomewide single nucleotide polymorphisms in all major crop species. Besides their application in genetic mapping or genomewide association studies for dissection of complex agronomic traits, high-density genotyping arrays are highly suitable for genomic selection strategies. They also enable description of crop diversity at an unprecedented chromosome-scale resolution. Application of population genetics parameters to genomewide diversity data sets enables dissection of linkage disequilibrium to characterize loci underlying selective sweeps. High-throughput genotyping platforms simultaneously open the way for targeted diversity enrichment, allowing rejuvenation of low-diversity chromosome regions in strongly selected breeding pools to potentially reverse the influence of linkage drag. Numerous recent examples are presented which demonstrate the power of next-generation genomics for high-resolution analysis of crop diversity on a subgenomic and chromosomal scale. Such studies give deep insight into the history of crop evolution and selection, while simultaneously identifying novel diversity to improve yield and heterosis.
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Affiliation(s)
- Kai Voss-Fels
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
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