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Mazkirat S, Baitarakova K, Kudaybergenov M, Babissekova D, Bastaubayeva S, Bulatova K, Shavrukov Y. SSR Genotyping and Marker-Trait Association with Yield Components in a Kazakh Germplasm Collection of Chickpea ( Cicer arietinum L.). Biomolecules 2023; 13:1722. [PMID: 38136593 PMCID: PMC10741797 DOI: 10.3390/biom13121722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023] Open
Abstract
Genetic diversity and marker-trait association with yield-related components were assessed in 39 chickpea accessions from a germplasm collection with either spring or autumn-sown seeds in South-Eastern Kazakhstan. Chickpea accessions originated from Azerbaijan, Germany, Kazakhstan, Moldova, Russia, Türkiye, Ukraine, Syria, and the International Center for Agricultural Research in the Dry Areas (ICARDA). Eleven SSR markers were used for molecular genotyping. Yield and yield components were evaluated in nine traits in experiments with spring and autumn seed sowing. The number of alleles of polymorphic markers varied from 2 to 11. The greatest polymorphism was found in the studied chickpea genotypes using SSR marker TA22 (11 alleles), while NCPGR6 and NCPGR12 markers were monomorphic. In the studied chickpea accessions, unique alleles of the SSR loci TA14, TA46, TA76s, and TA142 were found that were not previously described by other authors. An analysis of correlation relationships between yield-related traits in chickpea revealed the dependence of yield on plant height, branching, and the setting of a large number of beans. These traits showed maximal values in experiments with chickpea plants from autumn seed sowing. An analysis of the relationship between the SSR markers applied and morphological yield-related traits revealed several informative markers associated with important traits, such as plant height, height to first pod, number of branches, number of productive nodes, number of pods per plant, hundred seed weight, seed weight per plant, and seed yield.
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Affiliation(s)
- Shynar Mazkirat
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Kuralay Baitarakova
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Mukhtar Kudaybergenov
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Dilyara Babissekova
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Sholpan Bastaubayeva
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Kulpash Bulatova
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Yuri Shavrukov
- College of Science and Engineering, Biological Sciences, Flinders University, Adelaide, SA 5042, Australia
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Yadava YK, Chaudhary P, Yadav S, Rizvi AH, Kumar T, Srivastava R, Soren KR, Bharadwaj C, Srinivasan R, Singh NK, Jain PK. Genetic mapping of quantitative trait loci associated with drought tolerance in chickpea (Cicer arietinum L.). Sci Rep 2023; 13:17623. [PMID: 37848483 PMCID: PMC10582051 DOI: 10.1038/s41598-023-44990-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/14/2023] [Indexed: 10/19/2023] Open
Abstract
Elucidation of the genetic basis of drought tolerance is vital for genomics-assisted breeding of drought tolerant crop varieties. Here, we used genotyping-by-sequencing (GBS) to identify single nucleotide polymorphisms (SNPs) in recombinant inbred lines (RILs) derived from a cross between a drought tolerant chickpea variety, Pusa 362 and a drought sensitive variety, SBD 377. The GBS identified a total of 35,502 SNPs and subsequent filtering of these resulted in 3237 high-quality SNPs included in the eight linkage groups. Fifty-one percent of these SNPs were located in the genic regions distributed throughout the genome. The high density linkage map has total map length of 1069 cm with an average marker interval of 0.33 cm. The linkage map was used to identify 9 robust and consistent QTLs for four drought related traits viz. membrane stability index, relative water content, seed weight and yield under drought, with percent variance explained within the range of 6.29%-90.68% and LOD scores of 2.64 to 6.38, which were located on five of the eight linkage groups. A genomic region on LG 7 harbors quantitative trait loci (QTLs) explaining > 90% phenotypic variance for membrane stability index, and > 10% PVE for yield. This study also provides the first report of major QTLs for physiological traits such as membrane stability index and relative water content for drought stress in chickpea. A total of 369 putative candidate genes were identified in the 6.6 Mb genomic region spanning these QTLs. In-silico expression profiling based on the available transcriptome data revealed that 326 of these genes were differentially expressed under drought stress. KEGG analysis resulted in reduction of candidate genes from 369 to 99, revealing enrichment in various signaling pathways. Haplotype analysis confirmed 5 QTLs among the initially identified 9 QTLs. Two QTLs, qRWC1.1 and qYLD7.1, were chosen based on high SNP density. Candidate gene-based analysis revealed distinct haplotypes in qYLD7.1 associated with significant phenotypic differences, potentially linked to pathways for secondary metabolite biosynthesis. These identified candidate genes bolster defenses through flavonoids and phenylalanine-derived compounds, aiding UV protection, pathogen resistance, and plant structure.The study provides novel genomic regions and candidate genes which can be utilized in genomics-assisted breeding of superior drought tolerant chickpea cultivars.
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Affiliation(s)
- Yashwant K Yadava
- ICAR-National Institute for Plant Biotechnology, IARI Campus, New Delhi, 110012, India
| | - Pooja Chaudhary
- ICAR-National Institute for Plant Biotechnology, IARI Campus, New Delhi, 110012, India
| | - Sheel Yadav
- ICAR-National Institute for Plant Biotechnology, IARI Campus, New Delhi, 110012, India
| | - Aqeel Hasan Rizvi
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Tapan Kumar
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Rachna Srivastava
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - K R Soren
- ICAR-Indian Institute of Pulses Research, Kanpur, 208024, India
| | - C Bharadwaj
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - R Srinivasan
- ICAR-National Institute for Plant Biotechnology, IARI Campus, New Delhi, 110012, India
| | - N K Singh
- ICAR-National Institute for Plant Biotechnology, IARI Campus, New Delhi, 110012, India
| | - P K Jain
- ICAR-National Institute for Plant Biotechnology, IARI Campus, New Delhi, 110012, India.
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Xu S, Fei Y, Wang Y, Zhao W, Hou L, Cao Y, Wu M, Wu H. Identification of a Seed Vigor-Related QTL Cluster Associated with Weed Competitive Ability in Direct-Seeded Rice (Oryza Sativa L.). RICE (NEW YORK, N.Y.) 2023; 16:45. [PMID: 37831291 PMCID: PMC10575835 DOI: 10.1186/s12284-023-00664-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 09/30/2023] [Indexed: 10/14/2023]
Abstract
Direct seeding of rice (Oryza sativa L.) is a low-labor and sustainable cultivation method that is used worldwide. Seed vigor and early vigor are important traits associated with seedling stand density (SSD) and weed competitive ability (WCA), which are key factors in direct-seeded rice (DSR) cultivation systems. Here, we developed a set of chromosome segment substitution lines with Xiushui134 as receptor parent and Yangdao6 as donor parent and used these lines as a mapping population to identify quantitative trait loci (QTLs) for seed vigor, which we evaluated based on germinability-related indicators (germination percentage (GP), germination energy (GE), and germination index (GI)) and seedling vigor-related indicators (root number (RN), root length (RL), and shoot length (SL) at 14 days after imbibition) under controlled conditions in an incubator. Ten QTLs were detected across four chromosomes, of which a cluster of QTLs (qGP11, qGE11, qGI11, and qRL11) co-localized on Chr. 11 with high LOD values (12.03, 8.13, 7.14, and 8.75, respectively). Fine mapping narrowed down the QTL cluster to a 0.7-Mb interval between RM26797 and RM6680. Further analysis showed that the QTL cluster has a significant effect (p < 0.01) on early vigor under hydroponic culture (root length, total dry weight) and direct seeding conditions (tiller number, aboveground dry weight). Thus, our combined analysis revealed that the QTL cluster influenced both seed vigor and early vigor. Identifying favorable alleles at this QTL cluster could facilitate the improvement of SSD and WCA, thereby addressing both major factors in DSR cultivation systems.
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Affiliation(s)
- Shan Xu
- College of Advanced Agricultural Sciences, Zhejiang A & F University, Hangzhou, 311300, Zhejiang, China
| | - Yuexin Fei
- College of Advanced Agricultural Sciences, Zhejiang A & F University, Hangzhou, 311300, Zhejiang, China
| | - Yue Wang
- College of Advanced Agricultural Sciences, Zhejiang A & F University, Hangzhou, 311300, Zhejiang, China
| | - Wenjia Zhao
- College of Advanced Agricultural Sciences, Zhejiang A & F University, Hangzhou, 311300, Zhejiang, China
| | - Luyan Hou
- College of Advanced Agricultural Sciences, Zhejiang A & F University, Hangzhou, 311300, Zhejiang, China
| | - Yujie Cao
- College of Advanced Agricultural Sciences, Zhejiang A & F University, Hangzhou, 311300, Zhejiang, China
| | - Min Wu
- College of Advanced Agricultural Sciences, Zhejiang A & F University, Hangzhou, 311300, Zhejiang, China
| | - Hongkai Wu
- College of Advanced Agricultural Sciences, Zhejiang A & F University, Hangzhou, 311300, Zhejiang, China.
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Vadez V, Messina CD, Carminati A. Combatting drought: a multi-dimensional challenge. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:4765-4769. [PMID: 37658757 DOI: 10.1093/jxb/erad301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Water will be a major limitation to food production in the 21st century, and drought issues already prevail in many parts of the world. Finding solutions to ensure that farmers harvest profitable crops, and secure food supplies for families and feed for animals that will provide for them through to the next season are urgent necessities. The Interdrought community has been addressing this issue for almost 30 years in a series of international conferences, characterized by a multi-disciplinary approach across the domains of molecular biology, physiology, genetics, agronomy, breeding, environmental and social sciences, policy, and systems modeling. This special issue presents papers from the 7th edition of the conference, the first to be held in Africa, that paid special attention to drought in a smallholder context, adding a 'system' dimension to the crop focus from the previous Interdrought events (Varshney et al., 2018; Hammer et al., 2021).
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Affiliation(s)
- Vincent Vadez
- Institute for Research and Development (IRD), DIADE Research Unit, University of Montpellier, 34394 Montpellier cedex 5, France
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, India
- Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sècheresse (CERAAS), Campus ENSA, Thiès, Sénégal
| | - Carlos D Messina
- Department of Horticulture, University of Florida, Gainesville FL, USA
| | - Andrea Carminati
- Physics of Soils and Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
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Barmukh R, Roorkiwal M, Dixit GP, Bajaj P, Kholova J, Smith MR, Chitikineni A, Bharadwaj C, Sreeman SM, Rathore A, Tripathi S, Yasin M, Vijayakumar AG, Rao Sagurthi S, Siddique KHM, Varshney RK. Characterization of 'QTL-hotspot' introgression lines reveals physiological mechanisms and candidate genes associated with drought adaptation in chickpea. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:7255-7272. [PMID: 36006832 PMCID: PMC9730794 DOI: 10.1093/jxb/erac348] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/24/2022] [Indexed: 05/16/2023]
Abstract
'QTL-hotspot' is a genomic region on linkage group 04 (CaLG04) in chickpea (Cicer arietinum) that harbours major-effect quantitative trait loci (QTLs) for multiple drought-adaptive traits, and it therefore represents a promising target for improving drought adaptation. To investigate the mechanisms underpinning the positive effects of 'QTL-hotspot' on seed yield under drought, we introgressed this region from the ICC 4958 genotype into five elite chickpea cultivars. The resulting introgression lines (ILs) and their parents were evaluated in multi-location field trials and semi-controlled conditions. The results showed that the 'QTL-hotspot' region improved seed yield under rainfed conditions by increasing seed weight, reducing the time to flowering, regulating traits related to canopy growth and early vigour, and enhancing transpiration efficiency. Whole-genome sequencing data analysis of the ILs and parents revealed four genes underlying the 'QTL-hotspot' region associated with drought adaptation. We validated diagnostic KASP markers closely linked to these genes using the ILs and their parents for future deployment in chickpea breeding programs. The CaTIFY4b-H2 haplotype of a potential candidate gene CaTIFY4b was identified as the superior haplotype for 100-seed weight. The candidate genes and superior haplotypes identified in this study have the potential to serve as direct targets for genetic manipulation and selection for chickpea improvement.
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Affiliation(s)
- Rutwik Barmukh
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
| | | | - Girish P Dixit
- ICAR - Indian Institute of Pulses Research (IIPR), Kanpur, India
| | - Prasad Bajaj
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Jana Kholova
- Crops Physiology & Modeling, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Information Technologies, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, Prague, Czech Republic
| | - Millicent R Smith
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Australia
| | - Annapurna Chitikineni
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Chellapilla Bharadwaj
- The UWA Institute of Agriculture, The University of Western Australia, Perth, Western Australia, Australia
- ICAR - Indian Agricultural Research Institute (IARI), Delhi, India
| | - Sheshshayee M Sreeman
- Department of Crop Physiology, University of Agricultural Sciences, Bengaluru, India
| | - Abhishek Rathore
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Mohammad Yasin
- RAK College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, India
| | | | | | - Kadambot H M Siddique
- The UWA Institute of Agriculture, The University of Western Australia, Perth, Western Australia, Australia
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6
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An integrated transcriptome mapping the regulatory network of coding and long non-coding RNAs provides a genomics resource in chickpea. Commun Biol 2022; 5:1106. [PMID: 36261617 PMCID: PMC9581958 DOI: 10.1038/s42003-022-04083-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 10/07/2022] [Indexed: 11/11/2022] Open
Abstract
Large-scale transcriptome analysis can provide a systems-level understanding of biological processes. To accelerate functional genomic studies in chickpea, we perform a comprehensive transcriptome analysis to generate full-length transcriptome and expression atlas of protein-coding genes (PCGs) and long non-coding RNAs (lncRNAs) from 32 different tissues/organs via deep sequencing. The high-depth RNA-seq dataset reveal expression dynamics and tissue-specificity along with associated biological functions of PCGs and lncRNAs during development. The coexpression network analysis reveal modules associated with a particular tissue or a set of related tissues. The components of transcriptional regulatory networks (TRNs), including transcription factors, their cognate cis-regulatory motifs, and target PCGs/lncRNAs that determine developmental programs of different tissues/organs, are identified. Several candidate tissue-specific and abiotic stress-responsive transcripts associated with quantitative trait loci that determine important agronomic traits are also identified. These results provide an important resource to advance functional/translational genomic and genetic studies during chickpea development and environmental conditions. A full-length transcriptome and expression atlas of protein-coding genes and long non-coding RNAs is generated in chickpea. Components of transcriptional regulatory networks and candidate tissue-specific transcripts associated with quantitative trait loci are identified.
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7
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Barmukh R, Roorkiwal M, Garg V, Khan AW, German L, Jaganathan D, Chitikineni A, Kholova J, Kudapa H, Sivasakthi K, Samineni S, Kale SM, Gaur PM, Sagurthi SR, Benitez‐Alfonso Y, Varshney RK. Genetic variation in CaTIFY4b contributes to drought adaptation in chickpea. PLANT BIOTECHNOLOGY JOURNAL 2022; 20:1701-1715. [PMID: 35534989 PMCID: PMC9398337 DOI: 10.1111/pbi.13840] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 04/28/2022] [Indexed: 05/26/2023]
Abstract
Chickpea production is vulnerable to drought stress. Identifying the genetic components underlying drought adaptation is crucial for enhancing chickpea productivity. Here, we present the fine mapping and characterization of 'QTL-hotspot', a genomic region controlling chickpea growth with positive consequences on crop production under drought. We report that a non-synonymous substitution in the transcription factor CaTIFY4b regulates seed weight and organ size in chickpea. Ectopic expression of CaTIFY4b in Medicago truncatula enhances root growth under water deficit. Our results suggest that allelic variation in 'QTL-hotspot' improves pre-anthesis water use, transpiration efficiency, root architecture and canopy development, enabling high-yield performance under terminal drought conditions. Gene expression analysis indicated that CaTIFY4b may regulate organ size under water deficit by modulating the expression of GRF-INTERACTING FACTOR1 (GIF1), a transcriptional co-activator of Growth-Regulating Factors. Taken together, our study offers new insights into the role of CaTIFY4b and on diverse physiological and molecular mechanisms underpinning chickpea growth and production under specific drought scenarios.
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Affiliation(s)
- Rutwik Barmukh
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
- Department of GeneticsOsmania UniversityHyderabadIndia
| | - Manish Roorkiwal
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
- Khalifa Center for Genetic Engineering and BiotechnologyUnited Arab Emirates UniversityAl‐AinUnited Arab Emirates
- The UWA Institute of AgricultureThe University of Western AustraliaPerthWestern AustraliaAustralia
| | - Vanika Garg
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Aamir W. Khan
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Liam German
- Centre for Plant ScienceSchool of BiologyUniversity of LeedsLeedsUK
| | - Deepa Jaganathan
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Annapurna Chitikineni
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Jana Kholova
- Crop Physiology and ModellingInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Himabindu Kudapa
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Kaliamoorthy Sivasakthi
- Crop Physiology and ModellingInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Srinivasan Samineni
- Crop BreedingInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Sandip M. Kale
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Pooran M. Gaur
- The UWA Institute of AgricultureThe University of Western AustraliaPerthWestern AustraliaAustralia
- Crop BreedingInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | | | | | - Rajeev K. Varshney
- Centre of Excellence in Genomics and Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
- The UWA Institute of AgricultureThe University of Western AustraliaPerthWestern AustraliaAustralia
- Murdoch’s Centre for Crop & Food InnovationState Agricultural Biotechnology CentreFood Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
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Kushwah A, Bhatia D, Barmukh R, Singh I, Singh G, Bindra S, Vij S, Chellapilla B, Pratap A, Roorkiwal M, Kumar S, Varshney RK, Singh S. Genetic mapping of QTLs for drought tolerance in chickpea ( Cicer arietinum L.). Front Genet 2022; 13:953898. [PMID: 36061197 PMCID: PMC9437436 DOI: 10.3389/fgene.2022.953898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/05/2022] [Indexed: 01/24/2023] Open
Abstract
Chickpea yield is severely affected by drought stress, which is a complex quantitative trait regulated by multiple small-effect genes. Identifying genomic regions associated with drought tolerance component traits may increase our understanding of drought tolerance mechanisms and assist in the development of drought-tolerant varieties. Here, a total of 187 F8 recombinant inbred lines (RILs) developed from an interspecific cross between drought-tolerant genotype GPF 2 (Cicer arietinum) and drought-sensitive accession ILWC 292 (C. reticulatum) were evaluated to identify quantitative trait loci (QTLs) associated with drought tolerance component traits. A total of 21 traits, including 12 morpho-physiological traits and nine root-related traits, were studied under rainfed and irrigated conditions. Composite interval mapping identified 31 QTLs at Ludhiana and 23 QTLs at Faridkot locations for morphological and physiological traits, and seven QTLs were identified for root-related traits. QTL analysis identified eight consensus QTLs for six traits and five QTL clusters containing QTLs for multiple traits on linkage groups CaLG04 and CaLG06. The identified major QTLs and genomic regions associated with drought tolerance component traits can be introgressed into elite cultivars using genomics-assisted breeding to enhance drought tolerance in chickpea.
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Affiliation(s)
- Ashutosh Kushwah
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Dharminder Bhatia
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Rutwik Barmukh
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Inderjit Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Gurpreet Singh
- Regional Research Station, Punjab Agricultural University, Faridkot, India
| | - Shayla Bindra
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Suruchi Vij
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | | | - Aditya Pratap
- Crop Improvement Division, ICAR- Indian Institute of Pulses Research, Kanpur, India
| | - Manish Roorkiwal
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Shiv Kumar
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat Office, Rabat, Morocco
| | - Rajeev K. Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Murdoch’s Centre for Crop and Food Innovation, State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Sarvjeet Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
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9
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Arriagada O, Cacciuttolo F, Cabeza RA, Carrasco B, Schwember AR. A Comprehensive Review on Chickpea ( Cicer arietinum L.) Breeding for Abiotic Stress Tolerance and Climate Change Resilience. Int J Mol Sci 2022; 23:ijms23126794. [PMID: 35743237 PMCID: PMC9223724 DOI: 10.3390/ijms23126794] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/10/2022] [Accepted: 06/13/2022] [Indexed: 02/05/2023] Open
Abstract
Chickpea is one of the most important pulse crops worldwide, being an excellent source of protein. It is grown under rain-fed conditions averaging yields of 1 t/ha, far from its potential of 6 t/ha under optimum conditions. The combined effects of heat, cold, drought, and salinity affect species productivity. In this regard, several physiological, biochemical, and molecular mechanisms are reviewed to confer tolerance to abiotic stress. A large collection of nearly 100,000 chickpea accessions is the basis of breeding programs, and important advances have been achieved through conventional breeding, such as germplasm introduction, gene/allele introgression, and mutagenesis. In parallel, advances in molecular biology and high-throughput sequencing have allowed the development of specific molecular markers for the genus Cicer, facilitating marker-assisted selection for yield components and abiotic tolerance. Further, transcriptomics, proteomics, and metabolomics have permitted the identification of specific genes, proteins, and metabolites associated with tolerance to abiotic stress of chickpea. Furthermore, some promising results have been obtained in studies with transgenic plants and with the use of gene editing to obtain drought-tolerant chickpea. Finally, we propose some future lines of research that may be useful to obtain chickpea genotypes tolerant to abiotic stress in a scenario of climate change.
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Affiliation(s)
- Osvin Arriagada
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (O.A.); (F.C.)
| | - Felipe Cacciuttolo
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (O.A.); (F.C.)
| | - Ricardo A. Cabeza
- Departamento de Producción Agrícola, Facultad de Ciencias Agrarias, Universidad de Talca, Talca 3460000, Chile;
| | - Basilio Carrasco
- Centro de Estudios en Alimentos Procesados (CEAP), Av. Lircay s/n, Talca 3480094, Chile;
| | - Andrés R. Schwember
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (O.A.); (F.C.)
- Correspondence:
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Srivastava RK, Yadav OP, Kaliamoorthy S, Gupta SK, Serba DD, Choudhary S, Govindaraj M, Kholová J, Murugesan T, Satyavathi CT, Gumma MK, Singh RB, Bollam S, Gupta R, Varshney RK. Breeding Drought-Tolerant Pearl Millet Using Conventional and Genomic Approaches: Achievements and Prospects. FRONTIERS IN PLANT SCIENCE 2022; 13:781524. [PMID: 35463391 PMCID: PMC9021881 DOI: 10.3389/fpls.2022.781524] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 02/11/2022] [Indexed: 06/03/2023]
Abstract
Pearl millet [Pennisetum glaucum (L.) R. Br.] is a C4 crop cultivated for its grain and stover in crop-livestock-based rain-fed farming systems of tropics and subtropics in the Indian subcontinent and sub-Saharan Africa. The intensity of drought is predicted to further exacerbate because of looming climate change, necessitating greater focus on pearl millet breeding for drought tolerance. The nature of drought in different target populations of pearl millet-growing environments (TPEs) is highly variable in its timing, intensity, and duration. Pearl millet response to drought in various growth stages has been studied comprehensively. Dissection of drought tolerance physiology and phenology has helped in understanding the yield formation process under drought conditions. The overall understanding of TPEs and differential sensitivity of various growth stages to water stress helped to identify target traits for manipulation through breeding for drought tolerance. Recent advancement in high-throughput phenotyping platforms has made it more realistic to screen large populations/germplasm for drought-adaptive traits. The role of adapted germplasm has been emphasized for drought breeding, as the measured performance under drought stress is largely an outcome of adaptation to stress environments. Hybridization of adapted landraces with selected elite genetic material has been stated to amalgamate adaptation and productivity. Substantial progress has been made in the development of genomic resources that have been used to explore genetic diversity, linkage mapping (QTLs), marker-trait association (MTA), and genomic selection (GS) in pearl millet. High-throughput genotyping (HTPG) platforms are now available at a low cost, offering enormous opportunities to apply markers assisted selection (MAS) in conventional breeding programs targeting drought tolerance. Next-generation sequencing (NGS) technology, micro-environmental modeling, and pearl millet whole genome re-sequence information covering circa 1,000 wild and cultivated accessions have helped to greater understand germplasm, genomes, candidate genes, and markers. Their application in molecular breeding would lead to the development of high-yielding and drought-tolerant pearl millet cultivars. This review examines how the strategic use of genetic resources, modern genomics, molecular biology, and shuttle breeding can further enhance the development and delivery of drought-tolerant cultivars.
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Affiliation(s)
- Rakesh K. Srivastava
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - O. P. Yadav
- Indian Council of Agricultural Research-Central Arid Zone Research Institute, Jodhpur, India
| | - Sivasakthi Kaliamoorthy
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - S. K. Gupta
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Desalegn D. Serba
- United States Department of Agriculture-Agriculture Research Service (ARS), U.S. Arid Land Agricultural Research Center, Maricopa, AZ, United States
| | - Sunita Choudhary
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Mahalingam Govindaraj
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Jana Kholová
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Tharanya Murugesan
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - C. Tara Satyavathi
- Indian Council of Agricultural Research – All India Coordinated Research Project on Pearl Millet, Jodhpur, India
| | - Murali Krishna Gumma
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Ram B. Singh
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Srikanth Bollam
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Rajeev Gupta
- United States Department of Agriculture-Agriculture Research Service (ARS), Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Rajeev K. Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
- State Agricultural Biotechnology Centre, Centre for Crop & Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
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Nguyen DT, Hayes JE, Harris J, Sutton T. Fine Mapping of a Vigor QTL in Chickpea ( Cicer arietinum L.) Reveals a Potential Role for Ca4_TIFY4B in Regulating Leaf and Seed Size. FRONTIERS IN PLANT SCIENCE 2022; 13:829566. [PMID: 35283931 PMCID: PMC8908238 DOI: 10.3389/fpls.2022.829566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 01/13/2022] [Indexed: 05/16/2023]
Abstract
Plant vigor is a complex trait for which the underlying molecular control mechanisms remain unclear. Vigorous plants tend to derive from larger seeds and have greater early canopy cover, often with bigger leaves. In this study, we delimited the size of a major vigor quantitative trait locus (QTL) on chickpea chromosome 4-104.4 kb, using recombinant association analysis in 15 different heterogeneous inbred families, derived from a Rupali/Genesis836 recombinant inbred line population. The phenotypic and molecular genetic analysis provided evidence for a role of the gene Ca4_TIFY4B, in determining leaf and seed size in chickpea. A non-synonymous single-nucleotide polymorphism (SNP) in the high-vigor parent was located inside the core motif TIFYCG, resulting in a residue change T[I/S]FYCG. Complexes formed by orthologs of Ca4_TIFY4B (PEAPOD in Arabidopsis), Novel Interactor of JAZ (CaNINJA), and other protein partners are reported to act as repressors regulating the transcription of downstream genes that control plant organ size. When tested in a yeast 2-hybrid (Y2H) assay, this residue change suppressed the interaction between Ca4_TIFY4B and CaNINJA. This is the first report of a naturally occurring variant of the TIFY family in plants. A robust gene-derived molecular marker is available for selection in chickpea for seed and plant organ size, i.e., key component traits of vigor.
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Affiliation(s)
- Duong T. Nguyen
- School of Agriculture and Environment and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia
- South Australian Research and Development Institute, Adelaide, SA, Australia
| | - Julie E. Hayes
- School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA, Australia
- *Correspondence: Julie E. Hayes,
| | - John Harris
- South Australian Research and Development Institute, Adelaide, SA, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA, Australia
| | - Tim Sutton
- South Australian Research and Development Institute, Adelaide, SA, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA, Australia
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12
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Rajkumar MS, Garg R, Jain M. Genome-wide discovery of DNA polymorphisms via resequencing of chickpea cultivars with contrasting response to drought stress. PHYSIOLOGIA PLANTARUM 2022; 174:e13611. [PMID: 34957568 DOI: 10.1111/ppl.13611] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/29/2021] [Accepted: 12/08/2021] [Indexed: 06/14/2023]
Abstract
Drought stress limits plant growth, resulting in a significant yield loss in chickpea. The diversification in genome sequence and selective sweep of allele(s) in different genotypes of a crop plant may play an important role in the determination of agronomic traits, including drought stress response. We investigated, via whole genome resequencing, the DNA polymorphisms between two sets of chickpea genotypes with contrasting drought stress responses (3 drought-sensitive vs. 6 drought-tolerant). In total, 36,406 single nucleotide polymorphisms (SNPs) and 3407 insertions or deletions (InDels) differentiating drought-sensitive and drought-tolerant chickpea genotypes were identified. Interestingly, most (91%) of these DNA polymorphisms were located in chromosomes 1 and 4. The genes harboring DNA polymorphisms in their promoter and/or coding regions and exhibiting differential expression under control and/or drought stress conditions between/within the drought-sensitive and tolerant genotypes were found implicated in the stress response. Furthermore, we identified DNA polymorphisms within the cis-regulatory motifs in the promoter region of abiotic stress-related and QTL-associated genes, which might contribute to the differential expression of the candidate drought-responsive genes. In addition, we revealed the effect of nonsynonymous SNPs on mutational sensitivity and stability of the encoded proteins. Taken together, we identified DNA polymorphisms having relevance in drought stress response and revealed candidate genes to engineer drought tolerance in chickpea.
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Affiliation(s)
- Mohan Singh Rajkumar
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Rohini Garg
- Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Gautam Buddha Nagar, India
| | - Mukesh Jain
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
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13
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Nguyen DT, Hayes JE, Atieno J, Li Y, Baumann U, Pattison A, Bramley H, Hobson K, Roorkiwal M, Varshney RK, Colmer TD, Sutton T. The genetics of vigour-related traits in chickpea (Cicer arietinum L.): insights from genomic data. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:107-124. [PMID: 34643761 DOI: 10.1007/s00122-021-03954-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 09/17/2021] [Indexed: 05/27/2023]
Abstract
QTL controlling vigour and related traits were identified in a chickpea RIL population and validated in diverse sets of germplasm. Robust KASP markers were developed for marker-assisted selection. To understand the genetic constitution of vigour in chickpea (Cicer arietinum L.), genomic data from a bi-parental population and multiple diversity panels were used to identify QTL, sequence-level haplotypes and genetic markers associated with vigour-related traits in Australian environments. Using 182 Recombinant Inbred Lines (RILs) derived from a cross between two desi varieties, Rupali and Genesis836, vigour QTL independent of flowering time were identified on chromosomes (Ca) 1, 3 and 4 with genotypic variance explained (GVE) ranging from 7.1 to 28.8%. Haplotype analysis, association analysis and graphical genotyping of whole-genome re-sequencing data of two diversity panels consisting of Australian and Indian genotypes and an ICRISAT Chickpea Reference Set revealed a deletion in the FTa1-FTa2-FTc gene cluster of Ca3 significantly associated with vigour and flowering time. Across the RIL population and diversity panels, the impact of the deletion was consistent for vigour but not flowering time. Vigour-related QTL on Ca4 co-located with a QTL for seed size in Rupali/Genesis836 (GVE = 61.3%). Using SNPs from this region, we developed and validated gene-based KASP markers across different panels. Two markers were developed for a gene on Ca1, myo -inositol monophosphatase (CaIMP), previously proposed to control seed size, seed germination and seedling growth in chickpea. While associated with vigour in the diversity panels, neither the markers nor broader haplotype linked to CaIMP was polymorphic in Rupali/Genesis836. Importantly, vigour appears to be controlled by different sets of QTL across time and with components which are independent from phenology.
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Affiliation(s)
- Duong T Nguyen
- School of Agriculture and Environment and UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, WA, Australia
- South Australian Research and Development Institute, Hartley Grove, Urrbrae, SA, Australia
| | - Julie E Hayes
- School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA, Australia
| | - Judith Atieno
- South Australian Research and Development Institute, Hartley Grove, Urrbrae, SA, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA, Australia
| | - Yongle Li
- School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA, Australia
| | - Ute Baumann
- School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA, Australia
| | - Angela Pattison
- School of Life and Environmental Science, The University of Sydney, Camperdown, NSW, Australia
| | - Helen Bramley
- School of Life and Environmental Science, The University of Sydney, Camperdown, NSW, Australia
| | - Kristy Hobson
- Department of Primary Industries, Tamworth Agricultural Institute, 4 Marsden, Park Rd, Calala, NSW, Australia
| | - Manish Roorkiwal
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Rajeev K Varshney
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Timothy D Colmer
- School of Agriculture and Environment and UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, WA, Australia
| | - Tim Sutton
- South Australian Research and Development Institute, Hartley Grove, Urrbrae, SA, Australia.
- School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA, Australia.
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Burridge JD, Grondin A, Vadez V. Optimizing Crop Water Use for Drought and Climate Change Adaptation Requires a Multi-Scale Approach. FRONTIERS IN PLANT SCIENCE 2022; 13:824720. [PMID: 35574091 PMCID: PMC9100818 DOI: 10.3389/fpls.2022.824720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/11/2022] [Indexed: 05/09/2023]
Abstract
Selection criteria that co-optimize water use efficiency and yield are needed to promote plant productivity in increasingly challenging and variable drought scenarios, particularly dryland cereals in the semi-arid tropics. Optimizing water use efficiency and yield fundamentally involves transpiration dynamics, where restriction of maximum transpiration rate helps to avoid early crop failure, while maximizing grain filling. Transpiration restriction can be regulated by multiple mechanisms and involves cross-organ coordination. This coordination involves complex feedbacks and feedforwards over time scales ranging from minutes to weeks, and from spatial scales ranging from cell membrane to crop canopy. Aquaporins have direct effect but various compensation and coordination pathways involve phenology, relative root and shoot growth, shoot architecture, root length distribution profile, as well as other architectural and anatomical aspects of plant form and function. We propose gravimetric phenotyping as an integrative, cross-scale solution to understand the dynamic, interwoven, and context-dependent coordination of transpiration regulation. The most fruitful breeding strategy is likely to be that which maintains focus on the phene of interest, namely, daily and season level transpiration dynamics. This direct selection approach is more precise than yield-based selection but sufficiently integrative to capture attenuating and complementary factors.
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Affiliation(s)
- James D. Burridge
- DIADE Group, Cereal Root Systems, Institute de Recherche pour le Développement/Université de Montpellier, Montpellier, France
- *Correspondence: James D. Burridge,
| | - Alexandre Grondin
- DIADE Group, Cereal Root Systems, Institute de Recherche pour le Développement/Université de Montpellier, Montpellier, France
- Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux, Laboratoire Mixte International, Dakar, Senegal
- Centre d’Étude Régional pour l’Amélioration de l’Adaptation à la Sécheresse, Thiès, Senegal
| | - Vincent Vadez
- DIADE Group, Cereal Root Systems, Institute de Recherche pour le Développement/Université de Montpellier, Montpellier, France
- Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux, Laboratoire Mixte International, Dakar, Senegal
- Centre d’Étude Régional pour l’Amélioration de l’Adaptation à la Sécheresse, Thiès, Senegal
- International Crops Research Institute for Semi-Arid Tropics (ICRISAT), Patancheru, India
- Vincent Vadez,
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15
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Genomics Associated Interventions for Heat Stress Tolerance in Cool Season Adapted Grain Legumes. Int J Mol Sci 2021; 23:ijms23010399. [PMID: 35008831 PMCID: PMC8745526 DOI: 10.3390/ijms23010399] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/22/2021] [Accepted: 12/27/2021] [Indexed: 11/16/2022] Open
Abstract
Cool season grain legumes occupy an important place among the agricultural crops and essentially provide multiple benefits including food supply, nutrition security, soil fertility improvement and revenue for farmers all over the world. However, owing to climate change, the average temperature is steadily rising, which negatively affects crop performance and limits their yield. Terminal heat stress that mainly occurred during grain development phases severely harms grain quality and weight in legumes adapted to the cool season, such as lentils, faba beans, chickpeas, field peas, etc. Although, traditional breeding approaches with advanced screening procedures have been employed to identify heat tolerant legume cultivars. Unfortunately, traditional breeding pipelines alone are no longer enough to meet global demands. Genomics-assisted interventions including new-generation sequencing technologies and genotyping platforms have facilitated the development of high-resolution molecular maps, QTL/gene discovery and marker-assisted introgression, thereby improving the efficiency in legumes breeding to develop stress-resilient varieties. Based on the current scenario, we attempted to review the intervention of genomics to decipher different components of tolerance to heat stress and future possibilities of using newly developed genomics-based interventions in cool season adapted grain legumes.
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16
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Kartal S, Choudhary S, Masner J, Kholová J, Stočes M, Gattu P, Schwartz S, Kissel E. Machine Learning-Based Plant Detection Algorithms to Automate Counting Tasks Using 3D Canopy Scans. SENSORS (BASEL, SWITZERLAND) 2021; 21:8022. [PMID: 34884027 PMCID: PMC8659963 DOI: 10.3390/s21238022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/29/2021] [Accepted: 11/05/2021] [Indexed: 11/22/2022]
Abstract
This study tested whether machine learning (ML) methods can effectively separate individual plants from complex 3D canopy laser scans as a prerequisite to analyzing particular plant features. For this, we scanned mung bean and chickpea crops with PlantEye (R) laser scanners. Firstly, we segmented the crop canopies from the background in 3D space using the Region Growing Segmentation algorithm. Then, Convolutional Neural Network (CNN) based ML algorithms were fine-tuned for plant counting. Application of the CNN-based (Convolutional Neural Network) processing architecture was possible only after we reduced the dimensionality of the data to 2D. This allowed for the identification of individual plants and their counting with an accuracy of 93.18% and 92.87% for mung bean and chickpea plants, respectively. These steps were connected to the phenotyping pipeline, which can now replace manual counting operations that are inefficient, costly, and error-prone. The use of CNN in this study was innovatively solved with dimensionality reduction, addition of height information as color, and consequent application of a 2D CNN-based approach. We found there to be a wide gap in the use of ML on 3D information. This gap will have to be addressed, especially for more complex plant feature extractions, which we intend to implement through further research.
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Affiliation(s)
- Serkan Kartal
- Department of Computer Engineering, Faculty of Engineering, Cukurova University, Adana 01330, Turkey;
| | - Sunita Choudhary
- System Analysis for Climate Smart Agriculture (SACSA), ISD, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 5023204, Telangana, India; (S.C.); (J.K.)
| | - Jan Masner
- Department of Information Technologies, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, 165 00 Prague, Czech Republic;
| | - Jana Kholová
- System Analysis for Climate Smart Agriculture (SACSA), ISD, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 5023204, Telangana, India; (S.C.); (J.K.)
| | - Michal Stočes
- Department of Information Technologies, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, 165 00 Prague, Czech Republic;
| | - Priyanka Gattu
- Department of Electrical Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502285, Telangana, India;
| | - Stefan Schwartz
- Phenospex B. V., Jan Campertstraat 11, 6416 SG Heerlen, The Netherlands; (S.S.); (E.K.)
| | - Ewaut Kissel
- Phenospex B. V., Jan Campertstraat 11, 6416 SG Heerlen, The Netherlands; (S.S.); (E.K.)
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17
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Sadok W, Lopez JR, Smith KP. Transpiration increases under high-temperature stress: Potential mechanisms, trade-offs and prospects for crop resilience in a warming world. PLANT, CELL & ENVIRONMENT 2021; 44:2102-2116. [PMID: 33278035 DOI: 10.1111/pce.13970] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 05/24/2023]
Abstract
The frequency and intensity of high-temperature stress events are expected to increase as climate change intensifies. Concomitantly, an increase in evaporative demand, driven in part by global warming, is also taking place worldwide. Despite this, studies examining high-temperature stress impacts on plant productivity seldom consider this interaction to identify traits enhancing yield resilience towards climate change. Further, new evidence documents substantial increases in plant transpiration rate in response to high-temperature stress even under arid environments, which raise a trade-off between the need for latent cooling dictated by excessive temperatures and the need for water conservation dictated by increasing evaporative demand. However, the mechanisms behind those responses, and the potential to design the next generation of crops successfully navigating this trade-off, remain poorly investigated. Here, we review potential mechanisms underlying reported increases in transpiration rate under high-temperature stress, within the broader context of their impact on water conservation needed for crop drought tolerance. We outline three main contributors to this phenomenon, namely stomatal, cuticular and water viscosity-based mechanisms, and we outline research directions aiming at designing new varieties optimized for specific temperature and evaporative demand regimes to enhance crop productivity under a warmer and dryer climate.
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Affiliation(s)
- Walid Sadok
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| | - Jose R Lopez
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| | - Kevin P Smith
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
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18
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Zhang X, Lu M, Xia A, Xu T, Cui Z, Zhang R, Liu W, He Y. Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population. BMC Genomics 2021; 22:386. [PMID: 34034669 PMCID: PMC8152318 DOI: 10.1186/s12864-021-07723-x] [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: 04/02/2021] [Accepted: 05/12/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The maize husk consists of numerous leafy layers and plays vital roles in protecting the ear from pathogen infection and dehydration. Teosinte, the wild ancestor of maize, has about three layers of small husk outer covering the ear. Although several quantitative trait loci (QTL) underlying husk morphology variation have been reported, the genetic basis of husk traits between teosinte and maize remains unclear. RESULTS A linkage population including 191 BC2F8 inbred lines generated from the maize line Mo17 and the teosinte line X26-4 was used to identify QTL associated with three husk traits: i.e., husk length (HL), husk width (HW) and the number of husk layers (HN). The best linear unbiased predictor (BLUP) depicted wide phenotypic variation and high heritability of all three traits. The HL exhibited greater correlation with HW than HN. A total of 4 QTLs were identified including 1, 1, 2, which are associated with HL, HW and HN, respectively. The proportion of phenotypic variation explained by these QTLs was 9.6, 8.9 and 8.1% for HL, HN and HW, respectively. CONCLUSIONS The QTLs identified in this study will pave a path to explore candidate genes regulating husk growth and development, and benefit the molecular breeding program based on molecular marker-assisted selection to cultivate maize varieties with an ideal husk morphology.
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Affiliation(s)
- Xiaolei Zhang
- Quality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China
| | - Ming Lu
- Maize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling, 136100, China
| | - Aiai Xia
- Sanya institute of China Agricultural University, Sanya, 572025, China
| | - Tao Xu
- Tieling Academy of Agricultural Sciences, Tieling, 112000, China
| | - Zhenhai Cui
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China.
| | - Ruiying Zhang
- Quality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
| | - Wenguo Liu
- Maize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling, 136100, China.
| | - Yan He
- Sanya institute of China Agricultural University, Sanya, 572025, China.
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19
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Barmukh R, Soren KR, Madugula P, Gangwar P, Shanmugavadivel PS, Bharadwaj C, Konda AK, Chaturvedi SK, Bhandari A, Rajain K, Singh NP, Roorkiwal M, Varshney RK. Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.). PLoS One 2021; 16:e0251669. [PMID: 33989359 PMCID: PMC8121343 DOI: 10.1371/journal.pone.0251669] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/30/2021] [Indexed: 12/04/2022] Open
Abstract
Unravelling the genetic architecture underlying yield components and agronomic traits is important for enhancing crop productivity. Here, a recombinant inbred line (RIL) population, developed from ICC 4958 and DCP 92–3 cross, was used for constructing linkage map and QTL mapping analysis. The RIL population was genotyped using a high-throughput Axiom®CicerSNP array, which enabled the development of a high-density genetic map consisting of 3,818 SNP markers and spanning a distance of 1064.14 cM. Analysis of phenotyping data for yield, yield components and agronomic traits measured across three years together with genetic mapping data led to the identification of 10 major-effect QTLs and six minor-effect QTLs explaining up to 59.70% phenotypic variance. The major-effect QTLs identified for 100-seed weight, and plant height possessed key genes, such as C3HC4 RING finger protein, pentatricopeptide repeat (PPR) protein, sugar transporter, leucine zipper protein and NADH dehydrogenase, amongst others. The gene ontology studies highlighted the role of these genes in regulating seed weight and plant height in crop plants. The identified genomic regions for yield, yield components, and agronomic traits, and the closely linked markers will help advance genetics research and breeding programs in chickpea.
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Affiliation(s)
- Rutwik Barmukh
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
| | | | - Praveen Madugula
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | | | | | | | - Sushil K. Chaturvedi
- ICAR-Indian Institute of Pulses Research, Kanpur, UP, India
- Rani Lakshmi Bai Central Agricultural University, Jhansi, India
| | - Aditi Bhandari
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Kritika Rajain
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Narendra Pratap Singh
- ICAR-Indian Institute of Pulses Research, Kanpur, UP, India
- * E-mail: (RKV); (MR); (NPS)
| | - Manish Roorkiwal
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- * E-mail: (RKV); (MR); (NPS)
| | - Rajeev K. Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- * E-mail: (RKV); (MR); (NPS)
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20
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Bharadwaj C, Tripathi S, Soren KR, Thudi M, Singh RK, Sheoran S, Roorkiwal M, Patil BS, Chitikineni A, Palakurthi R, Vemula A, Rathore A, Kumar Y, Chaturvedi SK, Mondal B, Shanmugavadivel PS, Srivastava AK, Dixit GP, Singh NP, Varshney RK. Introgression of "QTL-hotspot" region enhances drought tolerance and grain yield in three elite chickpea cultivars. THE PLANT GENOME 2021; 14:e20076. [PMID: 33480153 DOI: 10.1002/tpg2.20076] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 11/10/2020] [Indexed: 05/27/2023]
Abstract
With an aim of enhancing drought tolerance using a marker-assisted backcrossing (MABC) approach, we introgressed the "QTL-hotspot" region from ICC 4958 accession that harbors quantitative trait loci (QTLs) for several drought-tolerance related traits into three elite Indian chickpea (Cicer arietinum L.) cultivars: Pusa 372, Pusa 362, and DCP 92-3. Of eight simple sequence repeat (SSR) markers in the QTL-hotspot region, two to three polymorphic markers were used for foreground selection with respective cross-combinations. A total of 47, 53, and 46 SSRs were used for background selection in case of introgression lines (ILs) developed in genetic backgrounds of Pusa 372, Pusa 362, and DCP 92-3, respectively. In total, 61 ILs (20 BC3 F3 in Pusa 372; 20 BC2 F3 in Pusa 362, and 21 BC3 F3 in DCP 92-3), with >90% recurrent parent genome recovery were developed. Six improved lines in different genetic backgrounds (e.g. BGM 10216 in Pusa 372; BG 3097 and BG 4005 in Pusa 362; IPC(L4-14), IPC(L4-16), and IPC(L19-1) in DCP 92-3) showed better performance than their respective recurrent parents. BGM 10216, with 16% yield gain over Pusa 372, has been released as Pusa Chickpea 10216 by the Central Sub-Committees on Crop Standards, Notification and Release of Varieties of Agricultural Crops, Ministry of Agriculture and Farmers Welfare, Government of India, for commercial cultivation in India. In summary, this study reports introgression of the QTL-hotspot for enhancing yield under rainfed conditions, development of several introgression lines, and release of Pusa Chickpea 10216 developed through molecular breeding in India.
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Affiliation(s)
- Chellapilla Bharadwaj
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, Delhi, 110012, India
| | - Shailesh Tripathi
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, Delhi, 110012, India
| | - Khela R Soren
- ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, Uttar Pradesh, 208024, India
| | - Mahendar Thudi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Rajesh K Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, Delhi, 110012, India
| | - Seema Sheoran
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, Delhi, 110012, India
- Present address: ICAR-Indian Institute of Maize Research (ICAR-IIMR), PAU campus, Ludhiana, Punjab, 141004, India
| | - Manish Roorkiwal
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | | | - Annapurna Chitikineni
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Ramesh Palakurthi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Anilkumar Vemula
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Abhishek Rathore
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Yogesh Kumar
- ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, Uttar Pradesh, 208024, India
| | - Sushil K Chaturvedi
- ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, Uttar Pradesh, 208024, India
- Present address: Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, 284003, India
| | - Biswajit Mondal
- ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, Uttar Pradesh, 208024, India
| | | | - Avinash K Srivastava
- ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, Uttar Pradesh, 208024, India
| | - Girish P Dixit
- ICAR-All India Coordinated Research Project on Chickpea (AICRP-Chickpea), ICAR-IIPR, Kanpur, Uttar Pradesh, India
| | - Narendra P Singh
- ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, Uttar Pradesh, 208024, India
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
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21
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Atieno J, Colmer TD, Taylor J, Li Y, Quealy J, Kotula L, Nicol D, Nguyen DT, Brien C, Langridge P, Croser J, Hayes JE, Sutton T. Novel Salinity Tolerance Loci in Chickpea Identified in Glasshouse and Field Environments. FRONTIERS IN PLANT SCIENCE 2021; 12:667910. [PMID: 33995463 PMCID: PMC8113763 DOI: 10.3389/fpls.2021.667910] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 03/22/2021] [Indexed: 05/03/2023]
Abstract
A better understanding of the genetics of salinity tolerance in chickpea would enable breeding of salt tolerant varieties, offering potential to expand chickpea production to marginal, salinity-affected areas. A Recombinant Inbred Line population was developed using accelerated-Single Seed Descent of progeny from a cross between two chickpea varieties, Rupali (salt-sensitive) and Genesis836 (salt-tolerant). The population was screened for salinity tolerance using high-throughput image-based phenotyping in the glasshouse, in hydroponics, and across 2 years of field trials at Merredin, Western Australia. A genetic map was constructed from 628 unique in-silico DArT and SNP markers, spanning 963.5 cM. Markers linked to two flowering loci identified on linkage groups CaLG03 and CaLG05 were used as cofactors during genetic analysis to remove the confounding effects of flowering on salinity response. Forty-two QTL were linked to growth rate, yield, and yield component traits under both control and saline conditions, and leaf tissue ion accumulation under salt stress. Residuals from regressions fitting best linear unbiased predictions from saline conditions onto best linear unbiased predictions from control conditions provided a measure of salinity tolerance per se, independent of yield potential. Six QTL on CaLG04, CaLG05, and CaLG06 were associated with tolerance per se. In total, 21 QTL mapped to two distinct regions on CaLG04. The first distinct region controlled the number of filled pods, leaf necrosis, seed number, and seed yield specifically under salinity, and co-located with four QTL linked to salt tolerance per se. The second distinct region controlled 100-seed weight and growth-related traits, independent of salinity treatment. Positional cloning of the salinity tolerance-specific loci on CaLG04, CaLG05, and CaLG06 will improve our understanding of the key determinants of salinity tolerance in chickpea.
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Affiliation(s)
- Judith Atieno
- South Australian Research and Development Institute, Adelaide, SA, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
- *Correspondence: Judith Atieno
| | - Timothy D. Colmer
- School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
| | - Julian Taylor
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
| | - Yongle Li
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
| | - John Quealy
- School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
| | - Lukasz Kotula
- School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
| | - Dion Nicol
- School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
- Department of Primary Industries and Regional Development, Dryland Research Institute, South Perth, WA, Australia
| | - Duong T. Nguyen
- South Australian Research and Development Institute, Adelaide, SA, Australia
- School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
| | - Chris Brien
- The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Adelaide, SA, Australia
| | - Peter Langridge
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
| | - Janine Croser
- School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
| | - Julie E. Hayes
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
| | - Tim Sutton
- South Australian Research and Development Institute, Adelaide, SA, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
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22
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Barmukh R, Roorkiwal M, Jaba J, Chitikineni A, Mishra SP, Sagurthi SR, Munghate R, Sharma HC, Varshney RK. Development of a dense genetic map and QTL analysis for pod borer Helicoverpa armigera (Hübner) resistance component traits in chickpea (Cicer arietinum L.). THE PLANT GENOME 2020; 14:e20071. [PMID: 33289349 DOI: 10.1002/tpg2.20071] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 10/15/2020] [Indexed: 06/12/2023]
Abstract
Genetic enhancement for resistance against the pod borer, Helicoverpa armigera is crucial for enhancing production and productivity of chickpea. Here we provide some novel insights into the genetic architecture of natural variation in H. armigera resistance in chickpea, an important legume, which plays a major role in food and nutritional security. An interspecific recombinant inbred line (RIL) population developed from a cross between H. armigera susceptible accession ICC 4958 (Cicer arietinum) and resistant accession PI 489777 (Cicer reticulatum) was evaluated for H. armigera resistance component traits using detached leaf assay and under field conditions. A high-throughput AxiomCicerSNP array was utilized to construct a dense linkage map comprising of 3,873 loci and spanning a distance of 949.27 cM. Comprehensive analyses of extensive genotyping and phenotyping data identified nine main-effect QTLs and 955 epistatic QTLs explaining up to 42.49% and 38.05% phenotypic variance, respectively, for H. armigera resistance component traits. The main-effect QTLs identified in this RIL population were linked with previously described genes, known to modulate resistance against lepidopteran insects in crop plants. One QTL cluster harbouring main-effect QTLs for three H. armigera resistance component traits and explaining up to 42.49% of the phenotypic variance, was identified on CaLG03. This genomic region, after validation, may be useful to improve H. armigera resistance component traits in elite chickpea cultivars.
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Affiliation(s)
- Rutwik Barmukh
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
| | - Manish Roorkiwal
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Jagdish Jaba
- Theme-Integrated Crop Management, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Annapurna Chitikineni
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Suraj Prasad Mishra
- Theme-Integrated Crop Management, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Rajendra Munghate
- Theme-Integrated Crop Management, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - H C Sharma
- Theme-Integrated Crop Management, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
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23
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Determining the Genetic Control of Common Bean Early-Growth Rate Using Unmanned Aerial Vehicles. REMOTE SENSING 2020. [DOI: 10.3390/rs12111748] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Vigorous early-season growth rate allows crops to compete more effectively against weeds and to conserve soil moisture in arid areas. These traits are of increasing economic importance due to changing consumer demand, reduced labor availability, and climate-change-related increasing global aridity. Many crop species, including common bean, show genetic variation in growth rate, between varieties. Despite this, the genetic basis of early-season growth has not been well-resolved in the species, in part due to historic phenotyping challenges. Using a range of UAV- and ground-based methods, we evaluated the early-season growth vigor of two populations. These growth data were used to find genetic regions associated with several growth parameters. Our results suggest that early-season growth rate is the result of complex interactions between several genetic and environmental factors. They also highlight the need for high-precision phenotyping provided by UAVs. The quantitative trait loci (QTLs) identified in this study are the first in common bean to be identified remotely using UAV technology. These will be useful for developing crop varieties that compete with weeds and use water more effectively. Ultimately, this will improve crop productivity in the face of changing climatic conditions and will mitigate the need for water and resource-intensive forms of weed control.
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24
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Roorkiwal M, Bharadwaj C, Barmukh R, Dixit GP, Thudi M, Gaur PM, Chaturvedi SK, Fikre A, Hamwieh A, Kumar S, Sachdeva S, Ojiewo CO, Tar'an B, Wordofa NG, Singh NP, Siddique KHM, Varshney RK. Integrating genomics for chickpea improvement: achievements and opportunities. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1703-1720. [PMID: 32253478 PMCID: PMC7214385 DOI: 10.1007/s00122-020-03584-2] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 03/18/2020] [Indexed: 05/19/2023]
Abstract
Integration of genomic technologies with breeding efforts have been used in recent years for chickpea improvement. Modern breeding along with low cost genotyping platforms have potential to further accelerate chickpea improvement efforts. The implementation of novel breeding technologies is expected to contribute substantial improvements in crop productivity. While conventional breeding methods have led to development of more than 200 improved chickpea varieties in the past, still there is ample scope to increase productivity. It is predicted that integration of modern genomic resources with conventional breeding efforts will help in the delivery of climate-resilient chickpea varieties in comparatively less time. Recent advances in genomics tools and technologies have facilitated the generation of large-scale sequencing and genotyping data sets in chickpea. Combined analysis of high-resolution phenotypic and genetic data is paving the way for identifying genes and biological pathways associated with breeding-related traits. Genomics technologies have been used to develop diagnostic markers for use in marker-assisted backcrossing programmes, which have yielded several molecular breeding products in chickpea. We anticipate that a sequence-based holistic breeding approach, including the integration of functional omics, parental selection, forward breeding and genome-wide selection, will bring a paradigm shift in development of superior chickpea varieties. There is a need to integrate the knowledge generated by modern genomics technologies with molecular breeding efforts to bridge the genome-to-phenome gap. Here, we review recent advances that have led to new possibilities for developing and screening breeding populations, and provide strategies for enhancing the selection efficiency and accelerating the rate of genetic gain in chickpea.
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Affiliation(s)
- Manish Roorkiwal
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
- The UWA Institute of Agriculture, The University of Western Australia, Perth, Australia.
| | | | - Rutwik Barmukh
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
| | - Girish P Dixit
- ICAR-Indian Institute of Pulses Research (IIPR), Kanpur, India
| | - Mahendar Thudi
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Pooran M Gaur
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Asnake Fikre
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Addis Ababa, Ethiopia
| | - Aladdin Hamwieh
- International Center for Agriculture Research in the Dry Areas (ICARDA), Cairo, Egypt
| | - Shiv Kumar
- International Center for Agriculture Research in the Dry Areas (ICARDA), Rabat, Morocco
| | - Supriya Sachdeva
- ICAR-Indian Agricultural Research Institute (IARI), Delhi, India
| | - Chris O Ojiewo
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Bunyamin Tar'an
- Department of Plant Sciences, University of Saskatchewan, Saskatoon, Canada
| | | | | | - Kadambot H M Siddique
- The UWA Institute of Agriculture, The University of Western Australia, Perth, Australia
| | - Rajeev K Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
- The UWA Institute of Agriculture, The University of Western Australia, Perth, Australia.
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25
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Yabe S, Iwata H. Genomics-assisted breeding in minor and pseudo-cereals. BREEDING SCIENCE 2020; 70:19-31. [PMID: 32351301 PMCID: PMC7180141 DOI: 10.1270/jsbbs.19100] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 11/22/2019] [Indexed: 05/20/2023]
Abstract
Minor and pseudo-cereals, which can grow with lower input and often produce specific nutrients compared to major cereal crops, are attracting worldwide attention. Since these crops generally have a large genetic diversity in a breeding population, rapid genetic improvement can be possible by the application of genomics-assisted breeding methods. In this review, we discuss studies related to biparental quantitative trait locus (QTL) mapping, genome-wide association study, and genomic selection for minor and pseudo-cereals. Especially, we focus on the current progress in a pseudo-cereal, buckwheat. Prospects for the practical utilization of genomics-assisted breeding in minor and pseudo-cereals are discussed including the issues to overcome especially for these crops.
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Affiliation(s)
- Shiori Yabe
- Institute of Crop Science, NARO, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8518 Japan
| | - Hiroyoshi Iwata
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657 Japan
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26
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Rani A, Devi P, Jha UC, Sharma KD, Siddique KHM, Nayyar H. Developing Climate-Resilient Chickpea Involving Physiological and Molecular Approaches With a Focus on Temperature and Drought Stresses. FRONTIERS IN PLANT SCIENCE 2020; 10:1759. [PMID: 32161601 PMCID: PMC7052492 DOI: 10.3389/fpls.2019.01759] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 12/16/2019] [Indexed: 05/19/2023]
Abstract
Chickpea is one of the most economically important food legumes, and a significant source of proteins. It is cultivated in more than 50 countries across Asia, Africa, Europe, Australia, North America, and South America. Chickpea production is limited by various abiotic stresses (cold, heat, drought, salt, etc.). Being a winter-season crop in northern south Asia and some parts of the Australia, chickpea faces low-temperature stress (0-15°C) during the reproductive stage that causes substantial loss of flowers, and thus pods, to inhibit its yield potential by 30-40%. The winter-sown chickpea in the Mediterranean, however, faces cold stress at vegetative stage. In late-sown environments, chickpea faces high-temperature stress during reproductive and pod filling stages, causing considerable yield losses. Both the low and the high temperatures reduce pollen viability, pollen germination on the stigma, and pollen tube growth resulting in poor pod set. Chickpea also experiences drought stress at various growth stages; terminal drought, along with heat stress at flowering and seed filling can reduce yields by 40-45%. In southern Australia and northern regions of south Asia, lack of chilling tolerance in cultivars delays flowering and pod set, and the crop is usually exposed to terminal drought. The incidences of temperature extremes (cold and heat) as well as inconsistent rainfall patterns are expected to increase in near future owing to climate change thereby necessitating the development of stress-tolerant and climate-resilient chickpea cultivars having region specific traits, which perform well under drought, heat, and/or low-temperature stress. Different approaches, such as genetic variability, genomic selection, molecular markers involving quantitative trait loci (QTLs), whole genome sequencing, and transcriptomics analysis have been exploited to improve chickpea production in extreme environments. Biotechnological tools have broadened our understanding of genetic basis as well as plants' responses to abiotic stresses in chickpea, and have opened opportunities to develop stress tolerant chickpea.
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Affiliation(s)
- Anju Rani
- Department of Botany, Panjab University, Chandigarh, India
| | - Poonam Devi
- Department of Botany, Panjab University, Chandigarh, India
| | - Uday Chand Jha
- Department of Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, India
| | - Kamal Dev Sharma
- Department of Agricultural Biotechnology, Himachal Pradesh Agricultural University, Palampur, India
| | - Kadambot H M Siddique
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia
| | - Harsh Nayyar
- Department of Botany, Panjab University, Chandigarh, India
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27
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Sivasakthi K, Marques E, Kalungwana N, Carrasquilla-Garcia N, Chang PL, Bergmann EM, Bueno E, Cordeiro M, Sani SGA, Udupa SM, Rather IA, Rouf Mir R, Vadez V, Vandemark GJ, Gaur PM, Cook DR, Boesch C, von Wettberg EJ, Kholova J, Penmetsa RV. Functional Dissection of the Chickpea ( Cicer arietinum L.) Stay-Green Phenotype Associated with Molecular Variation at an Ortholog of Mendel's I Gene for Cotyledon Color: Implications for Crop Production and Carotenoid Biofortification. Int J Mol Sci 2019; 20:E5562. [PMID: 31703441 PMCID: PMC6888616 DOI: 10.3390/ijms20225562] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 10/31/2019] [Accepted: 11/01/2019] [Indexed: 11/16/2022] Open
Abstract
"Stay-green" crop phenotypes have been shown to impact drought tolerance and nutritional content of several crops. We aimed to genetically describe and functionally dissect the particular stay-green phenomenon found in chickpeas with a green cotyledon color of mature dry seed and investigate its potential use for improvement of chickpea environmental adaptations and nutritional value. We examined 40 stay-green accessions and a set of 29 BC2F4-5 stay-green introgression lines using a stay-green donor parent ICC 16340 and two Indian elite cultivars (KAK2, JGK1) as recurrent parents. Genetic studies of segregating populations indicated that the green cotyledon trait is controlled by a single recessive gene that is invariantly associated with the delayed degreening (extended chlorophyll retention). We found that the chickpea ortholog of Mendel's I locus of garden pea, encoding a SGR protein as very likely to underlie the persistently green cotyledon color phenotype of chickpea. Further sequence characterization of this chickpea ortholog CaStGR1 (CaStGR1, for carietinum stay-green gene 1) revealed the presence of five different molecular variants (alleles), each of which is likely a loss-of-function of the chickpea protein (CaStGR1) involved in chlorophyll catabolism. We tested the wild type and green cotyledon lines for components of adaptations to dry environments and traits linked to agronomic performance in different experimental systems and different levels of water availability. We found that the plant processes linked to disrupted CaStGR1 gene did not functionality affect transpiration efficiency or water usage. Photosynthetic pigments in grains, including provitaminogenic carotenoids important for human nutrition, were 2-3-fold higher in the stay-green type. Agronomic performance did not appear to be correlated with the presence/absence of the stay-green allele. We conclude that allelic variation in chickpea CaStGR1 does not compromise traits linked to environmental adaptation and agronomic performance, and is a promising genetic technology for biofortification of provitaminogenic carotenoids in chickpea.
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Affiliation(s)
- Kaliamoorthy Sivasakthi
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, India; (K.S.); (V.V.); (P.M.G.)
| | - Edward Marques
- Department of Plant and Soil Science, University of Vermont, and Gund Institute for the Environment, Burlington, VT 05405, USA; (E.M.); (E.B.)
| | - Ng’andwe Kalungwana
- School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK; (N.K.); (C.B.)
| | - Noelia Carrasquilla-Garcia
- Department of Plant Pathology, University of California, Davis, CA 95616, USA; (N.C.-G.); (P.L.C.); (E.M.B.); (M.C.); (D.R.C.)
| | - Peter L. Chang
- Department of Plant Pathology, University of California, Davis, CA 95616, USA; (N.C.-G.); (P.L.C.); (E.M.B.); (M.C.); (D.R.C.)
| | - Emily M. Bergmann
- Department of Plant Pathology, University of California, Davis, CA 95616, USA; (N.C.-G.); (P.L.C.); (E.M.B.); (M.C.); (D.R.C.)
| | - Erika Bueno
- Department of Plant and Soil Science, University of Vermont, and Gund Institute for the Environment, Burlington, VT 05405, USA; (E.M.); (E.B.)
| | - Matilde Cordeiro
- Department of Plant Pathology, University of California, Davis, CA 95616, USA; (N.C.-G.); (P.L.C.); (E.M.B.); (M.C.); (D.R.C.)
| | - Syed Gul A.S. Sani
- Department of Plant Pathology, University of California, Davis, CA 95616, USA; (N.C.-G.); (P.L.C.); (E.M.B.); (M.C.); (D.R.C.)
| | - Sripada M. Udupa
- International Center for Agricultural Research in the Dry Areas (ICARDA), P.O.Box 6299, Rue Hafiane Cherkaoui, 10112 Rabat, Morocco;
| | - Irshad A. Rather
- Division of Genetics & Plant Breeding, Sher-e-Kashmir University of Agricultural Sciences & Technology (SKUAST), Sopore 193 201, India; (I.A.R.); (R.R.M.)
| | - Reyazul Rouf Mir
- Division of Genetics & Plant Breeding, Sher-e-Kashmir University of Agricultural Sciences & Technology (SKUAST), Sopore 193 201, India; (I.A.R.); (R.R.M.)
| | - Vincent Vadez
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, India; (K.S.); (V.V.); (P.M.G.)
| | - George J. Vandemark
- Grain Legume Genetics and Physiology Research, USDA-ARS, and, Washington State University, Pullman, WA 99164, USA;
| | - Pooran M. Gaur
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, India; (K.S.); (V.V.); (P.M.G.)
| | - Douglas R. Cook
- Department of Plant Pathology, University of California, Davis, CA 95616, USA; (N.C.-G.); (P.L.C.); (E.M.B.); (M.C.); (D.R.C.)
| | - Christine Boesch
- School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK; (N.K.); (C.B.)
| | - Eric J.B. von Wettberg
- Department of Plant and Soil Science, University of Vermont, and Gund Institute for the Environment, Burlington, VT 05405, USA; (E.M.); (E.B.)
| | - Jana Kholova
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, India; (K.S.); (V.V.); (P.M.G.)
| | - R. Varma Penmetsa
- Department of Plant Sciences, University of California, Davis, CA 95616, USA
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Jha UC. Current advances in chickpea genomics: applications and future perspectives. PLANT CELL REPORTS 2018; 37:947-965. [PMID: 29860584 DOI: 10.1007/s00299-018-2305-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 05/23/2018] [Indexed: 05/27/2023]
Abstract
Chickpea genomics promises to illuminate our understanding of genome organization, structural variations, evolutionary and domestication-related insights and fundamental biology of legume crops. Unprecedented advancements of next generation sequencing (NGS) technologies have enabled in decoding of multiple chickpea genome sequences and generating huge genomic resources in chickpea both at functional and structural level. This review is aimed to update the current progress of chickpea genomics ranging from high density linkage map development, genome-wide association studies (GWAS), functional genomics resources for various traits, emerging role of abiotic stress responsive coding and non-coding RNAs after the completion of draft chickpea genome sequences. Additionally, the current efforts of whole genome re-sequencing (WGRS) approach of global chickpea germplasm to capture the global genetic diversity existing in the historically released varieties across the world and increasing the resolution of the previously identified candidate gene(s) of breeding importance have been discussed. Thus, the outcomes of these genomics resources will assist in genomics-assisted selection and facilitate breeding of climate-resilient chickpea cultivars for sustainable agriculture.
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Affiliation(s)
- Uday Chand Jha
- ICAR-Indian Institute of Pulses Research (IIPR), Kanpur, 208024, India.
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Tharanya M, Kholova J, Sivasakthi K, Seghal D, Hash CT, Raj B, Srivastava RK, Baddam R, Thirunalasundari T, Yadav R, Vadez V. Quantitative trait loci (QTLs) for water use and crop production traits co-locate with major QTL for tolerance to water deficit in a fine-mapping population of pearl millet (Pennisetum glaucum L. R.Br.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:1509-1529. [PMID: 29679097 DOI: 10.1007/s00122-018-3094-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 04/08/2018] [Indexed: 05/09/2023]
Abstract
Four genetic regions associated with water use traits, measured at different levels of plant organization, and with agronomic traits were identified within a previously reported region for terminal water deficit adaptation on linkage group 2. Close linkages between these traits showed the value of phenotyping both for agronomic and secondary traits to better understand plant productive processes. Water saving traits are critical for water stress adaptation of pearl millet, whereas maximizing water use is key to the absence of stress. This research aimed at demonstrating the close relationship between traits measured at different levels of plant organization, some putatively involved in water stress adaptation, and those responsible for agronomic performance. A fine-mapping population of pearl millet, segregating for a previously identified quantitative trait locus (QTL) for adaptation to terminal drought stress on LG02, was phenotyped for traits at different levels of plant organization in different experimental environments (pot culture, high-throughput phenotyping platform, lysimeters, and field). The linkages among traits across the experimental systems were analysed using principal component analysis and QTL co-localization approach. Four regions within the LG02-QTL were found and revealed substantial co-mapping of water use and agronomic traits. These regions, identified across experimental systems, provided genetic evidence of the tight linkages between traits phenotyped at a lower level of plant organization and agronomic traits assessed in the field, therefore deepening our understanding of complex traits and then benefiting both geneticists and breeders. In short: (1) under no/mild stress conditions, increasing biomass and tiller production increased water use and eventually yield; (2) under severe stress conditions, water savings at vegetative stage, from lower plant vigour and fewer tillers in that population, led to more water available during grain filling, expression of stay-green phenotypes, and higher yield.
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Affiliation(s)
- Murugesan Tharanya
- Crop Physiology Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
- Bharathidasan University, Tiruchirappalli, Tamilnadu, 620 024, India
| | - Jana Kholova
- Crop Physiology Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Kaliamoorthy Sivasakthi
- Crop Physiology Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
- Bharathidasan University, Tiruchirappalli, Tamilnadu, 620 024, India
| | - Deepmala Seghal
- International Center for Maize and Wheat Improvement (CIMMYT), Km. 45, Carretera Mex-Veracruz, El Batan, CP 56237, Texcoco, Mexico
| | - Charles Tom Hash
- ICRISAT Sahelian Center, Pearl Millet Breeding, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 1204, Niamey, Niger
| | - Basker Raj
- Crop Physiology Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Rakesh Kumar Srivastava
- Crop Physiology Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Rekha Baddam
- Crop Physiology Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | | | - Rattan Yadav
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth, SY23 3EB, UK
| | - Vincent Vadez
- Crop Physiology Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India.
- Institut de Recherche pour le Developpement (IRD), Université de Montpellier, UMR DIADE, 911 Avenue Agropolis, BP 64501, 34394, Montpellier Cedex 5, France.
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