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Jamil S, Ahmad S, Shahzad R, Umer N, Kanwal S, Rehman HM, Rana IA, Atif RM. Leveraging Multiomics Insights and Exploiting Wild Relatives' Potential for Drought and Heat Tolerance in Maize. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:16048-16075. [PMID: 38980762 DOI: 10.1021/acs.jafc.4c01375] [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: 07/11/2024]
Abstract
Climate change, particularly drought and heat stress, may slash agricultural productivity by 25.7% by 2080, with maize being the hardest hit. Therefore, unraveling the molecular nature of plant responses to these stressors is vital for the development of climate-smart maize. This manuscript's primary objective was to examine how maize plants respond to these stresses, both individually and in combination. Additionally, the paper delved into harnessing the potential of maize wild relatives as a valuable genetic resource and leveraging AI-based technologies to boost maize resilience. The role of multiomics approaches particularly genomics and transcriptomics in dissecting the genetic basis of stress tolerance was also highlighted. The way forward was proposed to utilize a bunch of information obtained through omics technologies by an interdisciplinary state-of-the-art forward-looking big-data, cyberagriculture system, and AI-based approach to orchestrate the development of climate resilient maize genotypes.
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Affiliation(s)
- Shakra Jamil
- Agricultural Biotechnology Research Institute, Ayub Agricultural Research Institute, Faisalabad 38000, Pakistan
| | - Shakeel Ahmad
- Seed Centre and Plant Genetic Resources Bank Ministry of Environment, Water and Agriculture, Riyadh 14712, Saudi Arabia
| | - Rahil Shahzad
- Agricultural Biotechnology Research Institute, Ayub Agricultural Research Institute, Faisalabad 38000, Pakistan
| | - Noroza Umer
- Dr. Ikram ul Haq - Institute of Industrial Biotechnology, Government College University, Lahore 54590, Pakistan
| | - Shamsa Kanwal
- Agricultural Biotechnology Research Institute, Ayub Agricultural Research Institute, Faisalabad 38000, Pakistan
| | - Hafiz Mamoon Rehman
- Centre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture, Faisalabad 38000, Pakistan
| | - Iqrar Ahmad Rana
- Centre for Advanced Studies in Agriculture and Food Security, University of Agriculture, Faisalabad 38000, Pakistan
| | - Rana Muhammad Atif
- Department of Plant Sciences, University of California Davis, California 95616, United States
- Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad 38000, Pakistan
- Precision Agriculture and Analytics Lab, Centre for Advanced Studies in Agriculture and Food Security, National Centre in Big Data and Cloud Computing, University of Agriculture, Faisalabad 38000, Pakistan
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Li R, Wang Y, Li D, Guo Y, Zhou Z, Zhang M, Zhang Y, Würschum T, Liu W. Meta-Quantitative Trait Loci Analysis and Candidate Gene Mining for Drought Tolerance-Associated Traits in Maize ( Zea mays L.). Int J Mol Sci 2024; 25:4295. [PMID: 38673880 PMCID: PMC11049847 DOI: 10.3390/ijms25084295] [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: 03/07/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Drought is one of the major abiotic stresses with a severe negative impact on maize production globally. Understanding the genetic architecture of drought tolerance in maize is a crucial step towards the breeding of drought-tolerant varieties and a targeted exploitation of genetic resources. In this study, 511 quantitative trait loci (QTL) related to grain yield components, flowering time, and plant morphology under drought conditions, as well as drought tolerance index were collected from 27 published studies and then projected on the IBM2 2008 Neighbors reference map for meta-analysis. In total, 83 meta-QTL (MQTL) associated with drought tolerance in maize were identified, of which 20 were determined as core MQTL. The average confidence interval of MQTL was strongly reduced compared to that of the previously published QTL. Nearly half of the MQTL were confirmed by co-localized marker-trait associations from genome-wide association studies. Based on the alignment of rice proteins related to drought tolerance, 63 orthologous genes were identified near the maize MQTL. Furthermore, 583 candidate genes were identified within the 20 core MQTL regions and maize-rice homologous genes. Based on KEGG analysis of candidate genes, plant hormone signaling pathways were found to be significantly enriched. The signaling pathways can have direct or indirect effects on drought tolerance and also interact with other pathways. In conclusion, this study provides novel insights into the genetic and molecular mechanisms of drought tolerance in maize towards a more targeted improvement of this important trait in breeding.
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Affiliation(s)
- Ronglan Li
- Key Laboratory of Crop Heterosis and Utilization, The Ministry of Education, Key Laboratory of Crop Genetic Improvement, Beijing Municipality, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
- Sanya Institute of China Agricultural University, Sanya 572025, China
| | - Yueli Wang
- Key Laboratory of Crop Heterosis and Utilization, The Ministry of Education, Key Laboratory of Crop Genetic Improvement, Beijing Municipality, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Dongdong Li
- Key Laboratory of Crop Heterosis and Utilization, The Ministry of Education, Key Laboratory of Crop Genetic Improvement, Beijing Municipality, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Yuhang Guo
- Key Laboratory of Crop Heterosis and Utilization, The Ministry of Education, Key Laboratory of Crop Genetic Improvement, Beijing Municipality, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Zhipeng Zhou
- Key Laboratory of Crop Heterosis and Utilization, The Ministry of Education, Key Laboratory of Crop Genetic Improvement, Beijing Municipality, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Mi Zhang
- Key Laboratory of Crop Heterosis and Utilization, The Ministry of Education, Key Laboratory of Crop Genetic Improvement, Beijing Municipality, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
- Sanya Institute of China Agricultural University, Sanya 572025, China
| | - Yufeng Zhang
- Key Laboratory of Crop Heterosis and Utilization, The Ministry of Education, Key Laboratory of Crop Genetic Improvement, Beijing Municipality, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
- Sanya Institute of China Agricultural University, Sanya 572025, China
| | - Tobias Würschum
- Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599 Stuttgart, Germany
| | - Wenxin Liu
- Key Laboratory of Crop Heterosis and Utilization, The Ministry of Education, Key Laboratory of Crop Genetic Improvement, Beijing Municipality, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
- Sanya Institute of China Agricultural University, Sanya 572025, China
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Ningning Z, Binbin L, Fan Y, Jianzhong C, Yuqian Z, Yejian W, Wenjie Z, Xinghua Z, Shutu X, Jiquan X. Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.). BMC PLANT BIOLOGY 2023; 23:468. [PMID: 37803273 PMCID: PMC10557160 DOI: 10.1186/s12870-023-04489-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 09/26/2023] [Indexed: 10/08/2023]
Abstract
BACKGROUND Drought is a critical abiotic stress that influences maize yield and reduces grain yield when it occurs at the flowering or filling stage. To dissect the genetic architecture of grain yield under drought stress (DS), a genome-wide association analysis was conducted in a maize population composed of diverse inbred lines from five locations under well-watered and DS conditions at flowering in 2019 and 2020. RESULTS Using a fixed and random model circulating probability unification model, a total of 147 loci associated with grain yield or the drought resistance index (DRI) were identified, of which 54 loci were associated with a DRI with an average phenotypic variation explanation of 4.03%. Further, 10 of these loci explained more than 10% of the phenotypic variation. By integrating two public transcriptome datasets, 22 differentially expressed genes were considered as candidate genes, including the cloned gene ZmNAC49, which responds to drought by regulating stomatal density. Enrichment and protein interaction network showed that signaling pathways responded to drought resistance, including jasmonic acid and salicylic acid, mitogen-activated protein kinase, and abscisic acid-activated. Additionally, several transcription factors involved in DS were identified, including basic leucine zipper (GRMZM2G370026), NAC (GRMZM2G347043), and ethylene-responsive element binding protein (GRMZM2G169654). CONCLUSIONS In this study, we nominated several genes as candidate genes for drought resistance by intergrating association maping and transcription analysis. These results provide valuable information for understanding the genetic basis of drought tolerance at the mature stage and for designing drought-tolerant maize breeding.
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Affiliation(s)
- Zhang Ningning
- Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Liu Binbin
- Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Ye Fan
- Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Chang Jianzhong
- Agricultural University of Shanxi, Taiyuan, Shanxi, 030600, China
| | - Zhou Yuqian
- Crop Institute of Gansu Academy of Agricultural Sciences, Lanzhou, Gansu, 730000, China
| | - Wang Yejian
- Institute of Grain Crops, Academy of Agricultural Sciences of Xinjiang, Urumqi, Xinjiang, 830000, China
| | - Zhang Wenjie
- Crop Institute of Ningxia Academy of Agricultural Sciences, Yinchuan, Ningxia, 750000, China
| | - Zhang Xinghua
- Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Xu Shutu
- Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Xue Jiquan
- Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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Tang H, Zhang R, Wang M, Xie X, Zhang L, Zhang X, Liu C, Sun B, Qin F, Yang X. QTL mapping for flowering time in a maize-teosinte population under well-watered and water-stressed conditions. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:67. [PMID: 37601731 PMCID: PMC10435433 DOI: 10.1007/s11032-023-01413-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/06/2023] [Indexed: 08/22/2023]
Abstract
Maize grain yield can be greatly reduced when flowering time coincides with drought conditions, which delays silking and consequently increases the anthesis-silking interval. Although the genetic basis of delayed flowering time under water-stressed conditions has been elucidated in maize-maize populations, little is known in this regard about maize-teosinte populations. Here, 16 quantitative trait loci (QTL) for three flowering-time traits, namely days to anthesis, days to silk, and the anthesis-silking interval, were identified in a maize-teosinte introgression population under well-watered and water-stressed conditions; these QTL explained 3.98-32.61% of phenotypic variations. Six of these QTL were considered to be sensitive to drought stress, and the effect of any individual QTL was small, indicating the complex genetic nature of drought resistance in maize. To resolve which genes underlie the six QTL, 11 candidate genes were identified via colocalization analysis of known associations with flowering-time-related drought traits. Among the 11 candidate genes, five were found to be differentially expressed in response to drought stress or under selection during maize domestication, and thus represented the most likely candidates underlying the drought-sensitive QTL. The results lay a foundation for further studies of the genetic mechanisms of drought resistance and provide valuable information for improving drought resistance during maize breeding. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01413-0.
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Affiliation(s)
- Huaijun Tang
- State Key Laboratory of Plant Environmental Resilience and National Maize Improvement Center of China, China Agricultural University, Beijing, 100193 China
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091 China
| | - Renyu Zhang
- State Key Laboratory of Plant Environmental Resilience and National Maize Improvement Center of China, China Agricultural University, Beijing, 100193 China
| | - Min Wang
- State Key Laboratory of Plant Environmental Resilience and National Maize Improvement Center of China, China Agricultural University, Beijing, 100193 China
| | - Xiaoqing Xie
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091 China
| | - Lei Zhang
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091 China
| | - Xuan Zhang
- State Key Laboratory of Plant Environmental Resilience and National Maize Improvement Center of China, China Agricultural University, Beijing, 100193 China
| | - Cheng Liu
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091 China
| | - Baocheng Sun
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091 China
| | - Feng Qin
- State Key Laboratory of Plant Environmental Resilience and National Maize Improvement Center of China, China Agricultural University, Beijing, 100193 China
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193 China
| | - Xiaohong Yang
- State Key Laboratory of Plant Environmental Resilience and National Maize Improvement Center of China, China Agricultural University, Beijing, 100193 China
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193 China
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Chen S, Dang D, Liu Y, Ji S, Zheng H, Zhao C, Dong X, Li C, Guan Y, Zhang A, Ruan Y. Genome-wide association study presents insights into the genetic architecture of drought tolerance in maize seedlings under field water-deficit conditions. FRONTIERS IN PLANT SCIENCE 2023; 14:1165582. [PMID: 37223800 PMCID: PMC10200999 DOI: 10.3389/fpls.2023.1165582] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 03/24/2023] [Indexed: 05/25/2023]
Abstract
Introduction Drought stress is one of the most serious abiotic stresses leading to crop yield reduction. Due to the wide range of planting areas, the production of maize is particularly affected by global drought stress. The cultivation of drought-resistant maize varieties can achieve relatively high, stable yield in arid and semi-arid zones and in the erratic rainfall or occasional drought areas. Therefore, to a great degree, the adverse impact of drought on maize yield can be mitigated by developing drought-resistant or -tolerant varieties. However, the efficacy of traditional breeding solely relying on phenotypic selection is not adequate for the need of maize drought-resistant varieties. Revealing the genetic basis enables to guide the genetic improvement of maize drought tolerance. Methods We utilized a maize association panel of 379 inbred lines with tropical, subtropical and temperate backgrounds to analyze the genetic structure of maize drought tolerance at seedling stage. We obtained the high quality 7837 SNPs from DArT's and 91,003 SNPs from GBS, and a resultant combination of 97,862 SNPs of GBS with DArT's. The maize population presented the lower her-itabilities of the seedling emergence rate (ER), seedling plant height (SPH) and grain yield (GY) under field drought conditions. Results GWAS analysis by MLM and BLINK models with the phenotypic data and 97862 SNPs revealed 15 variants that were significantly independent related to drought-resistant traits at the seedling stage above the threshold of P < 1.02 × 10-5. We found 15 candidate genes for drought resistance at the seedling stage that may involve in (1) metabolism (Zm00001d012176, Zm00001d012101, Zm00001d009488); (2) programmed cell death (Zm00001d053952); (3) transcriptional regulation (Zm00001d037771, Zm00001d053859, Zm00001d031861, Zm00001d038930, Zm00001d049400, Zm00001d045128 and Zm00001d043036); (4) autophagy (Zm00001d028417); and (5) cell growth and development (Zm00001d017495). The most of them in B73 maize line were shown to change the expression pattern in response to drought stress. These results provide useful information for understanding the genetic basis of drought stress tolerance of maize at seedling stage.
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Affiliation(s)
- Shan Chen
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, China
| | - Dongdong Dang
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, China
- CIMMYT-China Specialty Maize Research Center, Crop Breeding and Cultivation Research Institute, Shang-hai Academy of Agricultural Sciences, Shanghai, China
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Yubo Liu
- CIMMYT-China Specialty Maize Research Center, Crop Breeding and Cultivation Research Institute, Shang-hai Academy of Agricultural Sciences, Shanghai, China
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Shuwen Ji
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, China
| | - Hongjian Zheng
- CIMMYT-China Specialty Maize Research Center, Crop Breeding and Cultivation Research Institute, Shang-hai Academy of Agricultural Sciences, Shanghai, China
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Chenghao Zhao
- Dandong Academy of Agricultural Sciences, Fengcheng, Liaoning, China
| | - Xiaomei Dong
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, China
| | - Cong Li
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, China
| | - Yuan Guan
- CIMMYT-China Specialty Maize Research Center, Crop Breeding and Cultivation Research Institute, Shang-hai Academy of Agricultural Sciences, Shanghai, China
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Ao Zhang
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, China
| | - Yanye Ruan
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, China
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Sarkar B, Varalaxmi Y, Vanaja M, RaviKumar N, Prabhakar M, Yadav SK, Maheswari M, Singh VK. Mapping of QTLs for morphophysiological and yield traits under water-deficit stress and well-watered conditions in maize. FRONTIERS IN PLANT SCIENCE 2023; 14:1124619. [PMID: 37223807 PMCID: PMC10200936 DOI: 10.3389/fpls.2023.1124619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/27/2023] [Indexed: 05/25/2023]
Abstract
Maize productivity is significantly impacted by drought; therefore, improvement of drought tolerance is a critical goal in maize breeding. To achieve this, a better understanding of the genetic basis of drought tolerance is necessary. Our study aimed to identify genomic regions associated with drought tolerance-related traits by phenotyping a mapping population of recombinant inbred lines (RILs) for two seasons under well-watered (WW) and water-deficit (WD) conditions. We also used single nucleotide polymorphism (SNP) genotyping through genotyping-by-sequencing to map these regions and attempted to identify candidate genes responsible for the observed phenotypic variation. Phenotyping of the RILs population revealed significant variability in most of the traits, with normal frequency distributions, indicating their polygenic nature. We generated a linkage map using 1,241 polymorphic SNPs distributed over 10 chromosomes (chrs), covering a total genetic distance of 5,471.55 cM. We identified 27 quantitative trait loci (QTLs) associated with various morphophysiological and yield-related traits, with 13 QTLs identified under WW conditions and 12 under WD conditions. We found one common major QTL (qCW2-1) for cob weight and a minor QTL (qCH1-1) for cob height that were consistently identified under both water regimes. We also detected one major and one minor QTL for the Normalized Difference Vegetation Index (NDVI) trait under WD conditions on chr 2, bin 2.10. Furthermore, we identified one major QTL (qCH1-2) and one minor QTL (qCH1-1) on chr 1 that were located at different genomic positions to those identified in earlier studies. We found co-localized QTLs for stomatal conductance and grain yield on chr 6 (qgs6-2 and qGY6-1), while co-localized QTLs for stomatal conductance and transpiration rate were identified on chr 7 (qgs7-1 and qTR7-1). We also attempted to identify the candidate genes responsible for the observed phenotypic variation; our analysis revealed that the major candidate genes associated with QTLs detected under water deficit conditions were related to growth and development, senescence, abscisic acid (ABA) signaling, signal transduction, and transporter activity in stress tolerance. The QTL regions identified in this study may be useful in designing markers that can be utilized in marker-assisted selection breeding. In addition, the putative candidate genes can be isolated and functionally characterized so that their role in imparting drought tolerance can be more fully understood.
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Semalaiyappan J, Selvanayagam S, Rathore A, Gupta SK, Chakraborty A, Gujjula KR, Haktan S, Viswanath A, Malipatil R, Shah P, Govindaraj M, Ignacio JC, Reddy S, Singh AK, Thirunavukkarasu N. Development of a new AgriSeq 4K mid-density SNP genotyping panel and its utility in pearl millet breeding. FRONTIERS IN PLANT SCIENCE 2023; 13:1068883. [PMID: 36704175 PMCID: PMC9871632 DOI: 10.3389/fpls.2022.1068883] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 12/15/2022] [Indexed: 06/18/2023]
Abstract
Pearl millet is a crucial nutrient-rich staple food in Asia and Africa and adapted to the climate of semi-arid topics. Since the genomic resources in pearl millet are very limited, we have developed a brand-new mid-density 4K SNP panel and demonstrated its utility in genetic studies. A set of 4K SNPs were mined from 925 whole-genome sequences through a comprehensive in-silico pipeline. Three hundred and seventy-three genetically diverse pearl millet inbreds were genotyped using the newly-developed 4K SNPs through the AgriSeq Targeted Genotyping by Sequencing technology. The 4K SNPs were uniformly distributed across the pearl millet genome and showed considerable polymorphism information content (0.23), genetic diversity (0.29), expected heterozygosity (0.29), and observed heterozygosity (0.03). The SNP panel successfully differentiated the accessions into two major groups, namely B and R lines, through genetic diversity, PCA, and structure models as per their pedigree. The linkage disequilibrium (LD) analysis showed Chr3 had higher LD regions while Chr1 and Chr2 had more low LD regions. The genetic divergence between the B- and R-line populations was 13%, and within the sub-population variability was 87%. In this experiment, we have mined 4K SNPs and optimized the genotyping protocol through AgriSeq technology for routine use, which is cost-effective, fast, and highly reproducible. The newly developed 4K mid-density SNP panel will be useful in genomics and molecular breeding experiments such as assessing the genetic diversity, trait mapping, backcross breeding, and genomic selection in pearl millet.
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Affiliation(s)
- Janani Semalaiyappan
- Genomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India
| | - Sivasubramani Selvanayagam
- Accelerated Crop Improvement, International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Abhishek Rathore
- Excellence in Breeding (EiB) Platform, The International Maize and Wheat Improvement Center (CIMMYT), El Batán, Mexico
| | - SK. Gupta
- Accelerated Crop Improvement, International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Animikha Chakraborty
- Genomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India
| | | | - Suren Haktan
- Bioinformatics, Thermo Fisher Scientific, Austin, TX, United States
| | - Aswini Viswanath
- Genomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India
| | - Renuka Malipatil
- Genomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India
| | - Priya Shah
- Genomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India
| | | | - John Carlos Ignacio
- Department of Horticulture and Crop Science, The Ohio State University, Wooster, OH, United States
| | - Sanjana Reddy
- Genomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India
| | | | - Nepolean Thirunavukkarasu
- Genomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India
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Linkage Mapping Reveals QTL for Flowering Time-Related Traits under Multiple Abiotic Stress Conditions in Maize. Int J Mol Sci 2022; 23:ijms23158410. [PMID: 35955541 PMCID: PMC9368988 DOI: 10.3390/ijms23158410] [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: 07/05/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 11/17/2022] Open
Abstract
Variation in flowering plays a major role in maize photoperiod adaptation during long-term domestication. It is of high value to investigate the genetic basis of maize flowering under a wide range of environmental conditions in order to overcome photoperiod sensitivity or enhance stress tolerance. A recombinant inbred line (RIL) population derived from a cross between Huangzaosi and Mo17, composed of 121 lines and genotyped by 8329 specifically developed markers, was field evaluated in two consecutive years under two planting densities (67,500 and 120,000 plants ha−1) and two water treatments (normal irrigation and drought stress at the flowering stage). The days to silking (DTS), days to anthesis (DTA), and anthesis to silking interval (ASI) were all evaluated. Within the RIL population, DTS and DTA expanded as planting density and water deficit increased. For DTA, DTS, ASI, and ASI-delay, a total of 22, 17, 21, and 11 QTLs were identified, respectively. More than two significant QTLs were identified in each of the nine chromosomal intervals. Under diverse conditions and locations, six QTLs (quantitative trait locus) for DTS and DTA were discovered in Chr. 8: 118.13–125.31 Mb. Three chromosome regions, Chr. 3: 196.14–199.89 Mb, Chr. 8: 169.02–172.46 Mb, and Chr. 9: 128.12–137.26 Mb, all had QTLs for ASI-delay under normal and stress conditions, suggesting their possible roles in stress tolerance enhancement. These QTL hotspots will promote early-maturing or multiple abiotic stress-tolerant maize breeding, as well as shed light on the development of maize varieties with a broad range of adaptations.
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Ahmed Z, Khalid M, Ghafoor A, Shah MKN, Raja GK, Rana RM, Mahmood T, Thompson AM. SNP-Based Genome-Wide Association Mapping of Pollen Viability Under Heat Stress in Tropical Zea mays L. Inbred Lines. Front Genet 2022; 13:819849. [PMID: 35368702 PMCID: PMC8966704 DOI: 10.3389/fgene.2022.819849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/03/2022] [Indexed: 11/13/2022] Open
Abstract
Global environmental changes with more extreme episodes of heat waves are major threats to agricultural productivity. Heat stress in spring affects the reproductive stage of maize, resulting in tassel blast, pollen abortion, poor pollination, reduced seed set, barren ears and ultimately yield loss. As an aneamophelous crop, maize has a propensity for pollen abortion under heat stress conditions. To overcome the existing challenges of heat stress and pollen abortion, this study utilized a broad genetic base of maize germplasm to identify superior alleles to be utilized in breeding programs. A panel of 375 inbred lines was morpho-physiologically screened under normal and heat stress conditions in two locations across two consecutive planting seasons, 2017 and 2018. The exposure of pollen to high temperature showed drastic decline in pollen germination percentage. The average pollen germination percentage (PGP) at 35 and 45°C was 40.3% and 9.7%, respectively, an average decline of 30.6%. A subset of 275 inbred lines were sequenced using tunable genotyping by sequencing, resulting in 170,098 single nucleotide polymorphisms (SNPs) after filtration. Genome wide association of PGP in a subset of 122 inbred lines resulted in ten SNPs associated with PGP35°C (p ≤ 10−5), nine with PGP45°C (p ≤ 10−6–10−8) and ten SNPs associated with PGP ratio (p ≤ 10−5). No SNPs were found to be in common across PGP traits. The number of favorable alleles possessed by each inbred line for PGP35°C, PGP45°C, and the PGP ratio ranged between 4 and 10, 3–13 and 5–13, respectively. In contrast, the number of negative alleles for these traits ranged between 2 and 8, 3–13 and 3–13, respectively. Genetic mapping of yield (adjusted weight per plant, AWP−1) and flowering time (anthesis-silking interval, ASI) in 275 lines revealed five common SNPs: three shared for AWP−1 between normal and heat stress conditions, one for ASI between conditions, and one SNP, CM007648.1-86615409, was associated with both ASI and AWP−1. Variety selection can be performed based on these favorable alleles for various traits. These marker trait associations identified in the diversity panel can be utilized in breeding programs to improve heat stress tolerance in maize.
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Affiliation(s)
- Zubair Ahmed
- Department of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
- Crop Disease Research Institute, National Agricultural Research Center (Pakistan), Islamabad, Pakistan
| | - Maria Khalid
- Institute of Biochemistry and Biotechnology, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
| | - Abdul Ghafoor
- Pakistan Agricultural Research Council, Islamabad, Pakistan
| | - Muhammad Kausar Nawaz Shah
- Department of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
| | - Ghazala Kaukab Raja
- Institute of Biochemistry and Biotechnology, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
| | - Rashid Mehmood Rana
- Department of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
| | - Tahir Mahmood
- Department of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
| | - Addie M Thompson
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, United States
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Sadessa K, Beyene Y, Ifie BE, Suresh LM, Olsen MS, Ogugo V, Wegary D, Tongoona P, Danquah E, Offei SK, Prasanna BM, Gowda M. Identification of Genomic Regions Associated with Agronomic and Disease Resistance Traits in a Large Set of Multiple DH Populations. Genes (Basel) 2022; 13:genes13020351. [PMID: 35205395 PMCID: PMC8872035 DOI: 10.3390/genes13020351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/08/2022] [Accepted: 02/08/2022] [Indexed: 11/17/2022] Open
Abstract
Breeding maize lines with the improved level of desired agronomic traits under optimum and drought conditions as well as increased levels of resistance to several diseases such as maize lethal necrosis (MLN) is one of the most sustainable approaches for the sub-Saharan African region. In this study, 879 doubled haploid (DH) lines derived from 26 biparental populations were evaluated under artificial inoculation of MLN, as well as under well-watered (WW) and water-stressed (WS) conditions for grain yield and other agronomic traits. All DH lines were used for analyses of genotypic variability, association studies, and genomic predictions for the grain yield and other yield-related traits. Genome-wide association study (GWAS) using a mixed linear FarmCPU model identified SNPs associated with the studied traits i.e., about seven and eight SNPs for the grain yield; 16 and 12 for anthesis date; seven and eight for anthesis silking interval; 14 and 5 for both ear and plant height; and 15 and 5 for moisture under both WW and WS environments, respectively. Similarly, about 13 and 11 SNPs associated with gray leaf spot and turcicum leaf blight were identified. Eleven SNPs associated with senescence under WS management that had depicted drought-stress-tolerant QTLs were identified. Under MLN artificial inoculation, a total of 12 and 10 SNPs associated with MLN disease severity and AUDPC traits, respectively, were identified. Genomic prediction under WW, WS, and MLN disease artificial inoculation revealed moderate-to-high prediction accuracy. The findings of this study provide useful information on understanding the genetic basis for the MLN resistance, grain yield, and other agronomic traits under MLN artificial inoculation, WW, and WS conditions. Therefore, the obtained information can be used for further validation and developing functional molecular markers for marker-assisted selection and for implementing genomic prediction to develop superior elite lines.
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Affiliation(s)
- Kassahun Sadessa
- Ethiopian Institute of Agricultural Research (EIAR), Ambo Agricultural Research Center, Ambo P.O. Box 37, West Shoa, Ethiopia;
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, P.O. Box 1041-00621, Nairobi 00100, Kenya; (Y.B.); (L.M.S.); (M.S.O.); (V.O.); (B.M.P.)
- International Maize and Wheat Improvement Center (CIMMYT), 12.5 KM Peg, Harare P.O. Box MP163, Zimbabwe;
- West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, P.O. Box LG23, Accra 00233, Ghana; (B.E.I.); (P.T.); (E.D.); (S.K.O.)
| | - Yoseph Beyene
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, P.O. Box 1041-00621, Nairobi 00100, Kenya; (Y.B.); (L.M.S.); (M.S.O.); (V.O.); (B.M.P.)
| | - Beatrice E. Ifie
- West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, P.O. Box LG23, Accra 00233, Ghana; (B.E.I.); (P.T.); (E.D.); (S.K.O.)
| | - L. M. Suresh
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, P.O. Box 1041-00621, Nairobi 00100, Kenya; (Y.B.); (L.M.S.); (M.S.O.); (V.O.); (B.M.P.)
| | - Michael S. Olsen
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, P.O. Box 1041-00621, Nairobi 00100, Kenya; (Y.B.); (L.M.S.); (M.S.O.); (V.O.); (B.M.P.)
| | - Veronica Ogugo
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, P.O. Box 1041-00621, Nairobi 00100, Kenya; (Y.B.); (L.M.S.); (M.S.O.); (V.O.); (B.M.P.)
| | - Dagne Wegary
- International Maize and Wheat Improvement Center (CIMMYT), 12.5 KM Peg, Harare P.O. Box MP163, Zimbabwe;
| | - Pangirayi Tongoona
- West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, P.O. Box LG23, Accra 00233, Ghana; (B.E.I.); (P.T.); (E.D.); (S.K.O.)
| | - Eric Danquah
- West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, P.O. Box LG23, Accra 00233, Ghana; (B.E.I.); (P.T.); (E.D.); (S.K.O.)
| | - Samuel Kwame Offei
- West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, P.O. Box LG23, Accra 00233, Ghana; (B.E.I.); (P.T.); (E.D.); (S.K.O.)
| | - Boddupalli M. Prasanna
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, P.O. Box 1041-00621, Nairobi 00100, Kenya; (Y.B.); (L.M.S.); (M.S.O.); (V.O.); (B.M.P.)
| | - Manje Gowda
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, P.O. Box 1041-00621, Nairobi 00100, Kenya; (Y.B.); (L.M.S.); (M.S.O.); (V.O.); (B.M.P.)
- Correspondence: ; Tel.: +254-727019454
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Liu S, Qin F. Genome-Wide Association Analyses to Identify SNPs Related to Drought Tolerance. Methods Mol Biol 2022; 2462:201-219. [PMID: 35152391 DOI: 10.1007/978-1-0716-2156-1_16] [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] [Indexed: 06/14/2023]
Abstract
Drought stress is a serious agronomic problem resulting in significant yield losses globally. Breeding cultivars with drought tolerance is an important strategy that can be used to address this problem. Drought tolerance, however, is a complex multigenic trait, making advancements with conventional breeding approaches very challenging. This emphasizes the importance of dissecting the genetics of this trait and the identification and cloning of genes responsible for drought tolerance. With the rapid development of sequencing technologies and analytic methodologies, genome-wide association study (GWAS) has become an important tool for detecting natural variations underlying complex traits in crops. Identified loci can serve as targets for genomic selection or precise editing that enables the molecular design of new cultivars. This chapter describes the pipeline of statistical methods used in GWAS analysis, and covers field design, quality control, population structure control, association tests, and visualization of data. GWAS methodology used to dissect the genetic basis of drought tolerance is presented, and perspectives for optimizing the design and analysis of GWAS are discussed. The provided information serves as a valuable resource for researchers interested in GWAS technology.
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Affiliation(s)
- Shengxue Liu
- College of Biological Sciences, China Agricultural University, Beijing, China
| | - Feng Qin
- College of Biological Sciences, China Agricultural University, Beijing, China.
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Sheoran S, Kaur Y, Kumar S, Shukla S, Rakshit S, Kumar R. Recent Advances for Drought Stress Tolerance in Maize ( Zea mays L.): Present Status and Future Prospects. FRONTIERS IN PLANT SCIENCE 2022; 13:872566. [PMID: 35707615 PMCID: PMC9189405 DOI: 10.3389/fpls.2022.872566] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/26/2022] [Indexed: 05/04/2023]
Abstract
Drought stress has severely hampered maize production, affecting the livelihood and economics of millions of people worldwide. In the future, as a result of climate change, unpredictable weather events will become more frequent hence the implementation of adaptive strategies will be inevitable. Through utilizing different genetic and breeding approaches, efforts are in progress to develop the drought tolerance in maize. The recent approaches of genomics-assisted breeding, transcriptomics, proteomics, transgenics, and genome editing have fast-tracked enhancement for drought stress tolerance under laboratory and field conditions. Drought stress tolerance in maize could be considerably improved by combining omics technologies with novel breeding methods and high-throughput phenotyping (HTP). This review focuses on maize responses against drought, as well as novel breeding and system biology approaches applied to better understand drought tolerance mechanisms and the development of drought-tolerant maize cultivars. Researchers must disentangle the molecular and physiological bases of drought tolerance features in order to increase maize yield. Therefore, the integrated investments in field-based HTP, system biology, and sophisticated breeding methodologies are expected to help increase and stabilize maize production in the face of climate change.
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Rida S, Maafi O, López-Malvar A, Revilla P, Riache M, Djemel A. Genetics of Germination and Seedling Traits under Drought Stress in a MAGIC Population of Maize. PLANTS (BASEL, SWITZERLAND) 2021; 10:1786. [PMID: 34579319 PMCID: PMC8468063 DOI: 10.3390/plants10091786] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/23/2021] [Accepted: 08/24/2021] [Indexed: 01/31/2023]
Abstract
Drought is one of the most detrimental abiotic stresses hampering seed germination, development, and productivity. Maize is more sensitive to drought than other cereals, especially at seedling stage. Our objective was to study genetic regulation of drought tolerance at germination and during seedling growth in maize. We evaluated 420 RIL with their parents from a multi-parent advanced generation inter-cross (MAGIC) population with PEG-induced drought at germination and seedling establishment. A genome-wide association study (GWAS) was carried out to identify genomic regions associated with drought tolerance. GWAS identified 28 and 16 SNPs significantly associated with germination and seedling traits under stress and well-watered conditions, respectively. Among the SNPs detected, two SNPs had significant associations with several traits with high positive correlations, suggesting a pleiotropic genetic control. Other SNPs were located in regions that harbored major QTLs in previous studies, and co-located with QTLs for cold tolerance previously published for this MAGIC population. The genomic regions comprised several candidate genes related to stresses and plant development. These included numerous drought-responsive genes and transcription factors implicated in germination, seedling traits, and drought tolerance. The current analyses provide information and tools for subsequent studies and breeding programs for improving drought tolerance.
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Affiliation(s)
- Soumeya Rida
- Higher National Agronomic School (ENSA), L-RGB, Hassan Badi, El Harrach, Algiers 16004, Algeria; (S.R.); (O.M.); (M.R.); (A.D.)
| | - Oula Maafi
- Higher National Agronomic School (ENSA), L-RGB, Hassan Badi, El Harrach, Algiers 16004, Algeria; (S.R.); (O.M.); (M.R.); (A.D.)
| | - Ana López-Malvar
- Facultad de Biología, Departamento de Biología Vegetal y Ciencias del Suelo, Agrobiología Ambiental, Calidad de Suelos y Plantas, Universidad de Vigo, As Lagoas Marcosende, 36310 Vigo, Spain
| | - Pedro Revilla
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080 Pontevedra, Spain;
| | - Meriem Riache
- Higher National Agronomic School (ENSA), L-RGB, Hassan Badi, El Harrach, Algiers 16004, Algeria; (S.R.); (O.M.); (M.R.); (A.D.)
| | - Abderahmane Djemel
- Higher National Agronomic School (ENSA), L-RGB, Hassan Badi, El Harrach, Algiers 16004, Algeria; (S.R.); (O.M.); (M.R.); (A.D.)
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14
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Genomic regions associated with heat stress tolerance in tropical maize (Zea mays L.). Sci Rep 2021; 11:13730. [PMID: 34215789 PMCID: PMC8253795 DOI: 10.1038/s41598-021-93061-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 06/21/2021] [Indexed: 11/20/2022] Open
Abstract
With progressive climate change and the associated increase in mean temperature, heat stress tolerance has emerged as one of the key traits in the product profile of the maize breeding pipeline for lowland tropics. The present study aims to identify the genomic regions associated with heat stress tolerance in tropical maize. An association mapping panel, called the heat tolerant association mapping (HTAM) panel, was constituted by involving a total of 543 tropical maize inbred lines from diverse genetic backgrounds, test-crossed and phenotyped across nine locations in South Asia under natural heat stress. The panel was genotyped using a genotyping-by-sequencing (GBS) platform. Considering the large variations in vapor pressure deficit (VPD) at high temperature (Tmax) across different phenotyping locations, genome-wide association study (GWAS) was conducted separately for each location. The individual location GWAS identified a total of 269 novel significant single nucleotide polymorphisms (SNPs) for grain yield under heat stress at a p value of < 10–5. A total of 175 SNPs were found in 140 unique gene models implicated in various biological pathway responses to different abiotic stresses. Haplotype trend regression (HTR) analysis of the significant SNPs identified 26 haplotype blocks and 96 single SNP variants significant across one to five locations. The genomic regions identified based on GWAS and HTR analysis considering genomic region x environment interactions are useful for breeding efforts aimed at developing heat stress resilient maize cultivars for current and future climatic conditions through marker-assisted introgression into elite genetic backgrounds and/or genome-wide selection.
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Maheswari M, Varalaxmi Y, Sarkar B, Ravikumar N, Vanaja M, Yadav SK, Jyothilakshmi N, Vijayalakshmi T, Savita SK, Rao MS, Shanker AK, Mohapatra T. Tolerance mechanisms in maize identified through phenotyping and transcriptome analysis in response to water deficit stress. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2021; 27:1377-1394. [PMID: 34177152 PMCID: PMC8212253 DOI: 10.1007/s12298-021-01003-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 04/19/2021] [Accepted: 05/07/2021] [Indexed: 05/03/2023]
Abstract
UNLABELLED Water deficit is a key limiting factor for maize (Zea mays L.) productivity. Elucidating the molecular regulatory networks of stress tolerance is crucial for genetic enhancement of drought tolerance. Two genotypes of maize contrasting in their yield response to water deficit were evaluated for tolerance traits of water relations, net CO2 assimilation rate, antioxidative metabolism and grain yield in relation to the expression levels, based on transcription profiling of genes involved in stress signaling, protein processing and energy metabolism to identify functional tolerance mechanisms. In the genotype SNJ201126 upregulation of calcium mediated signaling, plasma membrane and tonoplast intrinsic proteins and the membrane associated transporters contributed to better maintenance of water relations as evident from the higher relative water content and stomatal conductance at seedling and anthesis stages coupled with robust photosynthetic capacity and antioxidative metabolism. Further the protein folding machinery consisting of calnexin/calreticulin (CNX/CRT) cycle was significantly upregulated only in SNJ201126. While the down regulation of genes involved in photosystems and the enzymes of carbon fixation led to the relative susceptibility of genotype HKI161 in terms of reduced net CO2 assimilation rate, biomass and grain yield. Our results provide new insight into intrinsic functional mechanisms related to tolerance in maize. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s12298-021-01003-4.
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Affiliation(s)
- Mandapaka Maheswari
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Yellisetty Varalaxmi
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Basudeb Sarkar
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Nakka Ravikumar
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Maddi Vanaja
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Sushil Kumar Yadav
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Narayana Jyothilakshmi
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Tekula Vijayalakshmi
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - S. K. Savita
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Mathukumalli Srinivasa Rao
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
| | - Arun Kumar Shanker
- Division of Crop Sciences, ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P. O., Hyderabad, Telangana 500 059 India
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Jogawat A, Yadav B, Lakra N, Singh AK, Narayan OP. Crosstalk between phytohormones and secondary metabolites in the drought stress tolerance of crop plants: A review. PHYSIOLOGIA PLANTARUM 2021; 172:1106-1132. [PMID: 33421146 DOI: 10.1111/ppl.13328] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 11/08/2020] [Accepted: 01/01/2021] [Indexed: 05/21/2023]
Abstract
Drought stress negatively affects crop performance and weakens global food security. It triggers the activation of downstream pathways, mainly through phytohormones homeostasis and their signaling networks, which further initiate the biosynthesis of secondary metabolites (SMs). Roots sense drought stress, the signal travels to the above-ground tissues to induce systemic phytohormones signaling. The systemic signals further trigger the biosynthesis of SMs and stomatal closure to prevent water loss. SMs primarily scavenge reactive oxygen species (ROS) to protect plants from lipid peroxidation and also perform additional defense-related functions. Moreover, drought-induced volatile SMs can alert the plant tissues to perform drought stress mitigating functions in plants. Other phytohormone-induced stress responses include cell wall and cuticle thickening, root and leaf morphology alteration, and anatomical changes of roots, stems, and leaves, which in turn minimize the oxidative stress, water loss, and other adverse effects of drought. Exogenous applications of phytohormones and genetic engineering of phytohormones signaling and biosynthesis pathways mitigate the drought stress effects. Direct modulation of the SMs biosynthetic pathway genes or indirect via phytohormones' regulation provides drought tolerance. Thus, phytohormones and SMs play key roles in plant development under the drought stress environment in crop plants.
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Affiliation(s)
| | - Bindu Yadav
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Nita Lakra
- Department of Biotechnology, Chaudhary Charan Singh Haryana Agricultural University, Hisar, India
| | - Amit Kumar Singh
- School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel
| | - Om Prakash Narayan
- Biomedical Engineering Department, Tufts University, Medford, Massachusetts, USA
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Longmei N, Gill GK, Zaidi PH, Kumar R, Nair SK, Hindu V, Vinayan MT, Vikal Y. Genome wide association mapping for heat tolerance in sub-tropical maize. BMC Genomics 2021; 22:154. [PMID: 33663389 PMCID: PMC7934507 DOI: 10.1186/s12864-021-07463-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 02/22/2021] [Indexed: 01/06/2023] Open
Abstract
Background Heat tolerance is becoming increasingly important where maize is grown under spring season in India which coincide with grain filling stage of crop resulting in tassel blast, reduced pollen viability, pollination failure and barren ears that causes devastating yield losses. So, there is need to identify the genomic regions associated with heat tolerance component traits which could be further employed in maize breeding program. Results An association mapping panel, consisting of 662 doubled haploid (DH) lines, was evaluated for yield contributing traits under normal and natural heat stress conditions. Genome wide association studies (GWAS) carried out using 187,000 SNPs and 130 SNPs significantly associated for grain yield (GY), days to 50% anthesis (AD), days to 50% silking (SD), anthesis-silking interval (ASI), plant height (PH), ear height (EH) and ear position (EPO) were identified under normal conditions. A total of 46 SNPs strongly associated with GY, ASI, EH and EPO were detected under heat stress conditions. Fifteen of the SNPs was found to have common association with more than one trait such as two SNPs viz. S10_1,905,273 and S10_1,905,274 showed colocalization with GY, PH and EH whereas S10_7,132,845 SNP associated with GY, AD and SD under normal conditions. No such colocalization of SNP markers with multiple traits was observed under heat stress conditions. Haplotypes trend regression analysis revealed 122 and 85 haplotype blocks, out of which, 20 and 6 haplotype blocks were associated with more than one trait under normal and heat stress conditions, respectively. Based on SNP association and haplotype mapping, nine and seven candidate genes were identified respectively, which belongs to different gene models having different biological functions in stress biology. Conclusions The present study identified significant SNPs and haplotype blocks associated with yield contributing traits that help in selection of donor lines with favorable alleles for multiple traits. These results provided insights of genetics of heat stress tolerance. The genomic regions detected in the present study need further validation before being applied in the breeding pipelines. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07463-y.
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Affiliation(s)
- Ningthaipuilu Longmei
- Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Gurjit Kaur Gill
- Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Pervez Haider Zaidi
- International Maize and Wheat Improvement Centre (CIMMYT), Asia Regional Office, Hyderabad, India
| | - Ramesh Kumar
- Indian Institutes of Maize, Ludhiana, Punjab, India
| | - Sudha Krishnan Nair
- International Maize and Wheat Improvement Centre (CIMMYT), Asia Regional Office, Hyderabad, India
| | - Vermuri Hindu
- International Maize and Wheat Improvement Centre (CIMMYT), Asia Regional Office, Hyderabad, India
| | - Madhumal Thayil Vinayan
- International Maize and Wheat Improvement Centre (CIMMYT), Asia Regional Office, Hyderabad, India
| | - Yogesh Vikal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India.
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Liu S, Qin F. Genetic dissection of maize drought tolerance for trait improvement. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2021; 41:8. [PMID: 37309476 PMCID: PMC10236036 DOI: 10.1007/s11032-020-01194-w] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 11/27/2020] [Indexed: 06/13/2023]
Abstract
Maize is one of the most important crops, but its production is threatened by drought stress worldwide. Thus, increased drought tolerance has been a major goal of maize breeding. Conventional breeding strategies have led to significantly increase of maize yields; however, these strategies often fail to meet the need for drought stress tolerance enhancement. Here, we focus on progress related to the genetic dissection of drought tolerance in maize at different developmental stages achieved through linkage mapping and association mapping. Moreover, recent molecular breeding systems, including transgenic, genome-wide marker-assisted selection, and genome editing technologies, have provided a more direct, efficient, and accurate approach for trait improvement. We also provide perspectives on future directions regarding multi-omics studies and maize improvement. Overall, the application of acquired knowledge will facilitate maize breeding to meet the challenges.
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Affiliation(s)
- Shengxue Liu
- College of Biological Sciences, China Agricultural University, Beijing, 100193 China
| | - Feng Qin
- College of Biological Sciences, China Agricultural University, Beijing, 100193 China
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Chakraborty A, Viswanath A, Malipatil R, Rathore A, Thirunavukkarasu N. Structural and Functional Characteristics of miRNAs in Five Strategic Millet Species and Their Utility in Drought Tolerance. Front Genet 2020; 11:608421. [PMID: 33363575 PMCID: PMC7753210 DOI: 10.3389/fgene.2020.608421] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 11/05/2020] [Indexed: 11/13/2022] Open
Abstract
Millets are the strategic food crops in arid and drought-prone ecologies. Millets, by virtue of nature, are very well-adapted to drought conditions and able to produce sustainable yield. Millets have important nutrients that can help prevent micro-nutrient malnutrition. As a result of the adverse effect of climate change and widespread malnutrition, millets have attained a strategic position to sustain food and nutritional security. Although millets can adapt well to the drought ecologies where other cereals fail completely, the yield level is very low under stress. There is a tremendous opportunity to increase the genetic potential of millet crops in dry lands when the genetics of the drought-tolerance mechanism is fully explained. MicroRNAs (miRNAs) are the class of small RNAs that control trait expression. They are part of the gene regulation but little studied in millets. In the present study, novel miRNAs and gene targets were identified from the genomic resources of pearl millet, sorghum, foxtail millet, finger millet, and proso millet through in silico approaches. A total of 1,002 miRNAs from 280 families regulating 23,158 targets were identified using different filtration criteria in five millet species. The unique as well as conserved structural features and functional characteristics of miRNA across millets were explained. About 84 miRNAs were conserved across millets in different species combinations, which explained the evolutionary relationship of the millets. Further, 215 miRNAs controlling 155 unique major drought-responsive genes, transcription factors, and protein families revealed the genetics of drought tolerance that are accumulated in the millet genomes. The miRNAs regulating the drought stress through specific targets or multiple targets showed through a network analysis. The identified genes regulated by miRNA genes could be useful in developing functional markers and used for yield improvement under drought in millets as well as in other crops.
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Affiliation(s)
- Animikha Chakraborty
- Genomics and Molecular Breeding Lab, Indian Council of Agricultural Research-Indian Institute of Millets Research, Hyderabad, India
| | - Aswini Viswanath
- Genomics and Molecular Breeding Lab, Indian Council of Agricultural Research-Indian Institute of Millets Research, Hyderabad, India
| | - Renuka Malipatil
- Genomics and Molecular Breeding Lab, Indian Council of Agricultural Research-Indian Institute of Millets Research, Hyderabad, India
| | - Abhishek Rathore
- Statistics, Bioinformatics and Data Management, International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India
| | - Nepolean Thirunavukkarasu
- Genomics and Molecular Breeding Lab, Indian Council of Agricultural Research-Indian Institute of Millets Research, Hyderabad, India
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Harnessing High-throughput Phenotyping and Genotyping for Enhanced Drought Tolerance in Crop Plants. J Biotechnol 2020; 324:248-260. [PMID: 33186658 DOI: 10.1016/j.jbiotec.2020.11.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 09/28/2020] [Accepted: 11/08/2020] [Indexed: 12/17/2022]
Abstract
Development of drought-tolerant cultivars is one of the challenging tasks for the plant breeders due to its complex inheritance and polygenic regulation. Evaluating genetic material for drought tolerance is a complex process due to its spatiotemporal interactions with environmental factors. The conventional breeding approaches are costly, lengthy, and inefficient to achieve the expected gain in drought tolerance. In this regard, genomics-assisted breeding (GAB) offers promise to develop cultivars with improved drought tolerance in a more efficient, quicker, and cost-effective manner. The success of GAB depends upon the precision in marker-trait association and estimation of genomic estimated breeding values (GEBVs), which mostly depends on coverage and precision of genotyping and phenotyping. A wide gap between the discovery and practical use of quantitative trait loci (QTL) for crop improvement has been observed for many important agronomical traits. Such a limitation could be due to the low accuracy in QTL detection, mainly resulting from low marker density and manually collected phenotypes of complex agronomic traits. Increasing marker density using the high-throughput genotyping (HTG), and accurate and precise phenotyping using high-throughput digital phenotyping (HTP) platforms can improve the precision and power of QTL detection. Therefore, both HTG and HTP can enhance the practical utility of GAB along with a faster characterization of germplasm and breeding material. In the present review, we discussed how the recent innovations in HTG and HTP would assist in the breeding of improved drought-tolerant varieties. We have also discussed strategies, tools, and analytical advances made on the HTG and HTP along with their pros and cons.
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Yuan Y, Cairns JE, Babu R, Gowda M, Makumbi D, Magorokosho C, Zhang A, Liu Y, Wang N, Hao Z, San Vicente F, Olsen MS, Prasanna BM, Lu Y, Zhang X. Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize. FRONTIERS IN PLANT SCIENCE 2019; 9:1919. [PMID: 30761177 PMCID: PMC6363715 DOI: 10.3389/fpls.2018.01919] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 12/10/2018] [Indexed: 05/20/2023]
Abstract
Drought stress (DS) is a major constraint to maize yield production. Heat stress (HS) alone and in combination with DS are likely to become the increasing constraints. Association mapping and genomic prediction (GP) analyses were conducted in a collection of 300 tropical and subtropical maize inbred lines to reveal the genetic architecture of grain yield and flowering time under well-watered (WW), DS, HS, and combined DS and HS conditions. Out of the 381,165 genotyping-by-sequencing SNPs, 1549 SNPs were significantly associated with all the 12 trait-environment combinations, the average PVE (phenotypic variation explained) by these SNPs was 4.33%, and 541 of them had a PVE value greater than 5%. These significant associations were clustered into 446 genomic regions with a window size of 20 Mb per region, and 673 candidate genes containing the significantly associated SNPs were identified. In addition, 33 hotspots were identified for 12 trait-environment combinations and most were located on chromosomes 1 and 8. Compared with single SNP-based association mapping, the haplotype-based associated mapping detected fewer number of significant associations and candidate genes with higher PVE values. All the 688 candidate genes were enriched into 15 gene ontology terms, and 46 candidate genes showed significant differential expression under the WW and DS conditions. Association mapping results identified few overlapped significant markers and candidate genes for the same traits evaluated under different managements, indicating the genetic divergence between the individual stress tolerance and the combined drought and HS tolerance. The GP accuracies obtained from the marker-trait associated SNPs were relatively higher than those obtained from the genome-wide SNPs for most of the target traits. The genetic architecture information of the grain yield and flowering time revealed in this study, and the genomic regions identified for the different trait-environment combinations are useful in accelerating the efforts on rapid development of the stress-tolerant maize germplasm through marker-assisted selection and/or genomic selection.
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Affiliation(s)
- Yibing Yuan
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, China
- International Maize and Wheat Improvement Center, Texcoco, Mexico
| | - Jill E. Cairns
- International Maize and Wheat Improvement Center, Harare, Zimbabwe
| | - Raman Babu
- International Maize and Wheat Improvement Center, Texcoco, Mexico
| | - Manje Gowda
- International Maize and Wheat Improvement Center, Nairobi, Kenya
| | - Dan Makumbi
- International Maize and Wheat Improvement Center, Nairobi, Kenya
| | | | - Ao Zhang
- College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, China
| | - Yubo Liu
- College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, China
| | - Nan Wang
- International Maize and Wheat Improvement Center, Texcoco, Mexico
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhuanfang Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | | | - Michael S. Olsen
- International Maize and Wheat Improvement Center, Nairobi, Kenya
| | | | - Yanli Lu
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, China
| | - Xuecai Zhang
- International Maize and Wheat Improvement Center, Texcoco, Mexico
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Mittal S, Banduni P, Mallikarjuna MG, Rao AR, Jain PA, Dash PK, Thirunavukkarasu N. Structural, Functional, and Evolutionary Characterization of Major Drought Transcription Factors Families in Maize. Front Chem 2018; 6:177. [PMID: 29876347 PMCID: PMC5974147 DOI: 10.3389/fchem.2018.00177] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 05/03/2018] [Indexed: 01/22/2023] Open
Abstract
Drought is one of the major threats to the maize yield especially in subtropical production systems. Understanding the genes and regulatory mechanisms of drought tolerance is important to sustain the yield. Transcription factors (TFs) play a major role in gene regulation under drought stress. In the present study, a set of 15 major TF families comprising 1,436 genes was structurally and functionally characterized. The functional annotation indicated that the genes were involved in ABA signaling, ROS scavenging, photosynthesis, stomatal regulation, and sucrose metabolism. Duplication was identified as the primary force in divergence and expansion of TF families. Phylogenetic relationship was developed for individual TF and combined TF families. Phylogenetic analysis clustered the genes into specific and mixed groups. Gene structure analysis revealed that more number of genes were intron-rich as compared to intron-less. Drought-responsive cis-regulatory elements such as ABREA, ABREB, DRE1, and DRECRTCOREAT have been identified. Expression and interaction analyses identified leaf-specific bZIP TF, GRMZM2G140355, as a potential contributor toward drought tolerance in maize. Protein-protein interaction network of 269 drought-responsive genes belonging to different TFs has been provided. The information generated on structural and functional characteristics, expression, and interaction of the drought-related TF families will be useful to decipher the drought tolerance mechanisms and to breed drought-tolerant genotypes in maize.
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Affiliation(s)
- Shikha Mittal
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Pooja Banduni
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | | | - Atmakuri R Rao
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Prashant A Jain
- Department of Computational Biology & Bioinformatics, J.I.B.B., Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, India
| | - Prasanta K Dash
- National Research Centre on Plant Biotechnology, New Delhi, India
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Nepolean T, Kaul J, Mukri G, Mittal S. Genomics-Enabled Next-Generation Breeding Approaches for Developing System-Specific Drought Tolerant Hybrids in Maize. FRONTIERS IN PLANT SCIENCE 2018; 9:361. [PMID: 29696027 PMCID: PMC5905169 DOI: 10.3389/fpls.2018.00361] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 03/05/2018] [Indexed: 05/28/2023]
Abstract
Breeding science has immensely contributed to the global food security. Several varieties and hybrids in different food crops including maize have been released through conventional breeding. The ever growing population, decreasing agricultural land, lowering water table, changing climate, and other variables pose tremendous challenge to the researchers to improve the production and productivity of food crops. Drought is one of the major problems to sustain and improve the productivity of food crops including maize in tropical and subtropical production systems. With advent of novel genomics and breeding tools, the way of doing breeding has been tremendously changed in the last two decades. Drought tolerance is a combination of several component traits with a quantitative mode of inheritance. Rapid DNA and RNA sequencing tools and high-throughput SNP genotyping techniques, trait mapping, functional characterization, genomic selection, rapid generation advancement, and other tools are now available to understand the genetics of drought tolerance and to accelerate the breeding cycle. Informatics play complementary role by managing the big-data generated from the large-scale genomics and breeding experiments. Genome editing is the latest technique to alter specific genes to improve the trait expression. Integration of novel genomics, next-generation breeding, and informatics tools will accelerate the stress breeding process and increase the genetic gain under different production systems.
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Affiliation(s)
- Thirunavukkarsau Nepolean
- Maize Research Lab, Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
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Shu K, Luo X, Meng Y, Yang W. Toward a Molecular Understanding of Abscisic Acid Actions in Floral Transition. PLANT & CELL PHYSIOLOGY 2018; 59:215-221. [PMID: 29361058 DOI: 10.1093/pcp/pcy007] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 01/03/2018] [Indexed: 05/08/2023]
Abstract
The transition from the vegetative growth phase to flowering is a crucial checkpoint for plant reproduction and survival, especially under environmental stress conditions. Numerous factors regulate flowering time, including exogenous environmental cues such as day length and temperature, as well as salt and drought stresses, and endogenous phytohormone signaling cascades. Gibberellins and ABA are one classic combination of phytohormones which antagonistically regulate several biological processes, including seed dormancy and germination, primary root growth and seedling development. As regards control of flowering time, gibberellin exhibits a positive role, and represents an important pathway in the regulation of floral transition. However, over the past decades, numerous investigations have demonstrated that the contribution of the stress hormone ABA to floral transition is still controversial, as both positive and negative effects have been documented. It is important to determine why and how ABA shows this contradictory effect on flowering time. In this up to date review, primarily based on recent publications and emerging data, we summarize the distinct and contrasting roles of ABA on floral transition, while the detailed molecular mechanisms underlying these roles are discussed. Finally, the remaining challenges and open questions in this topic are presented.
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Affiliation(s)
- Kai Shu
- Institute of Ecological Agriculture, Department of Plant Physiology and Biotechnology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xiaofeng Luo
- Institute of Ecological Agriculture, Department of Plant Physiology and Biotechnology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yongjie Meng
- Institute of Ecological Agriculture, Department of Plant Physiology and Biotechnology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Wenyu Yang
- Institute of Ecological Agriculture, Department of Plant Physiology and Biotechnology, Sichuan Agricultural University, Chengdu, 611130, China
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Hou S, Zhu G, Li Y, Li W, Fu J, Niu E, Li L, Zhang D, Guo W. Genome-Wide Association Studies Reveal Genetic Variation and Candidate Genes of Drought Stress Related Traits in Cotton ( Gossypium hirsutum L.). FRONTIERS IN PLANT SCIENCE 2018; 9:1276. [PMID: 30233620 PMCID: PMC6129771 DOI: 10.3389/fpls.2018.01276] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 08/14/2018] [Indexed: 05/18/2023]
Abstract
Cotton is an important industrial crop worldwide and upland cotton (Gossypium hirsutum L.) is most widely cultivated in the world. Due to ever-increasing water deficit, drought stress brings a major threat to cotton production. Thus, it is important to reveal the genetic basis under drought stress and develop drought tolerant cotton cultivars. To address this issue, in present study, 319 upland cotton accessions were genotyped by 55,060 single nucleotide polymorphisms (SNPs) from high-density CottonSNP80K array and phenotyped nine drought tolerance related traits. The two datasets were used to identify quantitative trait nucleotides (QTNs) for the above nine traits using multi-locus random-SNP-effect mixed linear model method. As a result, a total of 20 QTNs distributed on 16 chromosomes were found to be significantly associated with six drought tolerance related traits. Of the 1,326 genes around the 20 QTNs, 205 were induced after drought stress treatment, and 46 were further mapped to Gene ontology (GO) term "response to stress." Taken genome-wide association study (GWAS) analysis, RNA-seq data and qRT-PCR verification, four genes, RD2 encoding a response to desiccation 2 protein, HAT22 encoding a homeobox-leucine zipper protein, PIP2 encoding a plasma membrane intrinsic protein 2, and PP2C encoding a protein phosphatase 2C, were proposed to be potentially important for drought tolerance in cotton. These results will deepen our understanding of the genetic basis of drought stress tolerance in cotton and provide candidate markers to accelerate the development of drought-tolerant cotton cultivars.
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27
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Genomic-based-breeding tools for tropical maize improvement. Genetica 2017; 145:525-539. [PMID: 28875394 DOI: 10.1007/s10709-017-9981-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 08/14/2017] [Indexed: 10/18/2022]
Abstract
Maize has traditionally been the main staple diet in the Southern Asia and Sub-Saharan Africa and widely grown by millions of resource poor small scale farmers. Approximately, 35.4 million hectares are sown to tropical maize, constituting around 59% of the developing worlds. Tropical maize encounters tremendous challenges besides poor agro-climatic situations with average yields recorded <3 tones/hectare that is far less than the average of developed countries. On the contrary to poor yields, the demand for maize as food, feed, and fuel is continuously increasing in these regions. Heterosis breeding introduced in early 90 s improved maize yields significantly, but genetic gains is still a mirage, particularly for crop growing under marginal environments. Application of molecular markers has accelerated the pace of maize breeding to some extent. The availability of array of sequencing and genotyping technologies offers unrivalled service to improve precision in maize-breeding programs through modern approaches such as genomic selection, genome-wide association studies, bulk segregant analysis-based sequencing approaches, etc. Superior alleles underlying complex traits can easily be identified and introgressed efficiently using these sequence-based approaches. Integration of genomic tools and techniques with advanced genetic resources such as nested association mapping and backcross nested association mapping could certainly address the genetic issues in maize improvement programs in developing countries. Huge diversity in tropical maize and its inherent capacity for doubled haploid technology offers advantage to apply the next generation genomic tools for accelerating production in marginal environments of tropical and subtropical world. Precision in phenotyping is the key for success of any molecular-breeding approach. This article reviews genomic technologies and their application to improve agronomic traits in tropical maize breeding has been reviewed in detail.
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28
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Viana JMS, Mundim GB, Pereira HD, Andrade ACB, e Silva FF. Efficiency of genome-wide association studies in random cross populations. MOLECULAR BREEDING 2017; 37:102. [PMID: 0 DOI: 10.1007/s11032-017-0703-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
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Miao Z, Han Z, Zhang T, Chen S, Ma C. A systems approach to a spatio-temporal understanding of the drought stress response in maize. Sci Rep 2017; 7:6590. [PMID: 28747711 PMCID: PMC5529502 DOI: 10.1038/s41598-017-06929-y] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 06/20/2017] [Indexed: 12/21/2022] Open
Abstract
Crops are often subjected to periods of drought stress during their life cycle. However, how stress response mechanisms contribute to the crosstalk between stress signaling pathways and developmental signaling pathways is still unknown. We built a gene co-expression network from a spatio-temporal transcriptomic map of the drought stress response in maize (Zea mays), profiled from three tissues and four developmental stages and characterized hub genes associated with duplication events, selection, and regulatory networks. Co-expression analysis grouped drought-response genes into ten modules, covering 844 highly connected genes (hub genes). Of these, 15.4% hub genes had diverged by whole-genome duplication events and 2.5% might then have been selected during natural domestication and artificial improvement processes, successively. We identified key transcription factor hubs in a transcriptional regulatory network, which may function as a crosstalk mechanism between drought stress and developmental signalling pathways in maize. Understanding the evolutionary biases that have evolved to enhance drought adaptation lays the foundation for further dissection of crosstalk between stress signalling pathways and developmental signalling pathways in maize, towards molecular design of new cultivars with desirable yield and greater stress tolerance.
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Affiliation(s)
- Zhenyan Miao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Zhaoxue Han
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Ting Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Siyuan Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Chuang Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China. .,Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China. .,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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Wang H, Qin F. Genome-Wide Association Study Reveals Natural Variations Contributing to Drought Resistance in Crops. FRONTIERS IN PLANT SCIENCE 2017; 8:1110. [PMID: 28713401 PMCID: PMC5491614 DOI: 10.3389/fpls.2017.01110] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 06/08/2017] [Indexed: 05/18/2023]
Abstract
Crops are often cultivated in regions where they will face environmental adversities; resulting in substantial yield loss which can ultimately lead to food and societal problems. Thus, significant efforts have been made to breed stress tolerant cultivars in an attempt to minimize these problems and to produce more stability with respect to crop yields across broad geographies. Since stress tolerance is a complex and multi-genic trait, advancements with classical breeding approaches have been challenging. On the other hand, molecular breeding, which is based on transgenics, marker-assisted selection and genome editing technologies; holds great promise to enable farmers to better cope with these challenges. However, identification of the key genetic components underlying the trait is critical and will serve as the foundation for future crop genetic improvement. Recently, genome-wide association studies have made significant contributions to facilitate the discovery of natural variation contributing to stress tolerance in crops. From these studies, the identified loci can serve as targets for genomic selection or editing to enable the molecular design of new cultivars. Here, we summarize research progress on this issue and focus on the genetic basis of drought tolerance as revealed by genome-wide association studies and quantitative trait loci mapping. Although many favorable loci have been identified, elucidation of their molecular mechanisms contributing to increased stress tolerance still remains a challenge. Thus, continuous efforts are still required to functionally dissect this complex trait through comprehensive approaches, such as system biological studies. It is expected that proper application of the acquired knowledge will enable the development of stress tolerant cultivars; allowing agricultural production to become more sustainable under dynamic environmental conditions.
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Affiliation(s)
- Hongwei Wang
- Agricultural College, Yangtze UniversityJingzhou, China
- Hubei Collaborative Innovation Center for Grain Industry, Yangtze UniversityJingzhou, China
| | - Feng Qin
- College of Biological Sciences, China Agricultural UniversityBeijing, China
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Shikha M, Kanika A, Rao AR, Mallikarjuna MG, Gupta HS, Nepolean T. Genomic Selection for Drought Tolerance Using Genome-Wide SNPs in Maize. FRONTIERS IN PLANT SCIENCE 2017; 8:550. [PMID: 28484471 PMCID: PMC5399777 DOI: 10.3389/fpls.2017.00550] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 03/27/2017] [Indexed: 05/05/2023]
Abstract
Traditional breeding strategies for selecting superior genotypes depending on phenotypic traits have proven to be of limited success, as this direct selection is hindered by low heritability, genetic interactions such as epistasis, environmental-genotype interactions, and polygenic effects. With the advent of new genomic tools, breeders have paved a way for selecting superior breeds. Genomic selection (GS) has emerged as one of the most important approaches for predicting genotype performance. Here, we tested the breeding values of 240 maize subtropical lines phenotyped for drought at different environments using 29,619 cured SNPs. Prediction accuracies of seven genomic selection models (ridge regression, LASSO, elastic net, random forest, reproducing kernel Hilbert space, Bayes A and Bayes B) were tested for their agronomic traits. Though prediction accuracies of Bayes B, Bayes A and RKHS were comparable, Bayes B outperformed the other models by predicting highest Pearson correlation coefficient in all three environments. From Bayes B, a set of the top 1053 significant SNPs with higher marker effects was selected across all datasets to validate the genes and QTLs. Out of these 1053 SNPs, 77 SNPs associated with 10 drought-responsive transcription factors. These transcription factors were associated with different physiological and molecular functions (stomatal closure, root development, hormonal signaling and photosynthesis). Of several models, Bayes B has been shown to have the highest level of prediction accuracy for our data sets. Our experiments also highlighted several SNPs based on their performance and relative importance to drought tolerance. The result of our experiments is important for the selection of superior genotypes and candidate genes for breeding drought-tolerant maize hybrids.
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Affiliation(s)
- Mittal Shikha
- Division of Genetics, ICAR-Indian Agricultural Research InstituteNew Delhi, India
| | - Arora Kanika
- Division of Genetics, ICAR-Indian Agricultural Research InstituteNew Delhi, India
| | - Atmakuri Ramakrishna Rao
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research InstituteNew Delhi, India
| | | | - Hari Shanker Gupta
- Division of Genetics, ICAR-Indian Agricultural Research InstituteNew Delhi, India
- Office of Director General, Borlaug Institute for South AsiaNew Delhi, India
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Xiao Y, Liu H, Wu L, Warburton M, Yan J. Genome-wide Association Studies in Maize: Praise and Stargaze. MOLECULAR PLANT 2017; 10:359-374. [PMID: 28039028 DOI: 10.1016/j.molp.2016.12.008] [Citation(s) in RCA: 215] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2016] [Revised: 12/02/2016] [Accepted: 12/20/2016] [Indexed: 05/18/2023]
Abstract
Genome-wide association study (GWAS) has become a widely accepted strategy for decoding genotype-phenotype associations in many species thanks to advances in next-generation sequencing (NGS) technologies. Maize is an ideal crop for GWAS and significant progress has been made in the last decade. This review summarizes current GWAS efforts in maize functional genomics research and discusses future prospects in the omics era. The general goal of GWAS is to link genotypic variations to corresponding differences in phenotype using the most appropriate statistical model in a given population. The current review also presents perspectives for optimizing GWAS design and analysis. GWAS analysis of data from RNA, protein, and metabolite-based omics studies is discussed, along with new models and new population designs that will identify causes of phenotypic variation that have been hidden to date. The joint and continuous efforts of the whole community will enhance our understanding of maize quantitative traits and boost crop molecular breeding designs.
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Affiliation(s)
- Yingjie Xiao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Haijun Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Liuji Wu
- Synergetic Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450002, China
| | - Marilyn Warburton
- United States of Department of Agriculture, Agricultural Research Service, Corn Host Plant Resistance Research Unit, Box 9555, MS 39762, Mississippi, USA
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
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Song K, Kim HC, Shin S, Kim KH, Moon JC, Kim JY, Lee BM. Transcriptome Analysis of Flowering Time Genes under Drought Stress in Maize Leaves. FRONTIERS IN PLANT SCIENCE 2017; 8:267. [PMID: 28298916 PMCID: PMC5331056 DOI: 10.3389/fpls.2017.00267] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 02/14/2017] [Indexed: 05/20/2023]
Abstract
Flowering time is an important factor determining yield and seed quality in maize. A change in flowering time is a strategy used to survive abiotic stresses. Among abiotic stresses, drought can increase anthesis-silking intervals (ASI), resulting in negative effects on maize yield. We have analyzed the correlation between flowering time and drought stress using RNA-seq and bioinformatics tools. Our results identified a total of 619 genes and 126 transcripts whose expression was altered by drought stress in the maize B73 leaves under short-day condition. Among drought responsive genes, we also identified 20 genes involved in flowering times. Gene Ontology (GO) enrichment analysis was used to predict the functions of the drought-responsive genes and transcripts. GO categories related to flowering time included reproduction, flower development, pollen-pistil interaction, and post-embryonic development. Transcript levels of several genes that have previously been shown to affect flowering time, such as PRR37, transcription factor HY5, and CONSTANS, were significantly altered by drought conditions. Furthermore, we also identified several drought-responsive transcripts containing C2H2 zinc finger, CCCH, and NAC domains, which are frequently involved in transcriptional regulation and may thus have potential to alter gene expression programs to change maize flowering time. Overall, our results provide a genome-wide analysis of differentially expressed genes (DEGs), novel transcripts, and isoform variants expressed during the reproductive stage of maize plants subjected to drought stress and short-day condition. Further characterization of the drought-responsive transcripts identified in this study has the potential to advance our understanding of the mechanisms that regulate flowering time under drought stress.
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Affiliation(s)
- Kitae Song
- Department of Life Science, Dongguk University-SeoulSeoul, South Korea
| | - Hyo Chul Kim
- Department of Life Science, Dongguk University-SeoulSeoul, South Korea
| | - Seungho Shin
- Department of Life Science, Dongguk University-SeoulSeoul, South Korea
| | - Kyung-Hee Kim
- Department of Life Science, Dongguk University-SeoulSeoul, South Korea
| | - Jun-Cheol Moon
- Agriculture and Life Sciences Research Institute, Kangwon National UniversityChuncheon, South Korea
| | - Jae Yoon Kim
- Department of Plant Resources, College of Industrial Science, Kongju National UniversityYesan, South Korea
| | - Byung-Moo Lee
- Department of Life Science, Dongguk University-SeoulSeoul, South Korea
- *Correspondence: Byung-Moo Lee
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Shikha M, Kanika A, Rao AR, Mallikarjuna MG, Gupta HS, Nepolean T. Genomic Selection for Drought Tolerance Using Genome-Wide SNPs in Maize. FRONTIERS IN PLANT SCIENCE 2017. [PMID: 28484471 DOI: 10.3385/fpls.2017.00550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Traditional breeding strategies for selecting superior genotypes depending on phenotypic traits have proven to be of limited success, as this direct selection is hindered by low heritability, genetic interactions such as epistasis, environmental-genotype interactions, and polygenic effects. With the advent of new genomic tools, breeders have paved a way for selecting superior breeds. Genomic selection (GS) has emerged as one of the most important approaches for predicting genotype performance. Here, we tested the breeding values of 240 maize subtropical lines phenotyped for drought at different environments using 29,619 cured SNPs. Prediction accuracies of seven genomic selection models (ridge regression, LASSO, elastic net, random forest, reproducing kernel Hilbert space, Bayes A and Bayes B) were tested for their agronomic traits. Though prediction accuracies of Bayes B, Bayes A and RKHS were comparable, Bayes B outperformed the other models by predicting highest Pearson correlation coefficient in all three environments. From Bayes B, a set of the top 1053 significant SNPs with higher marker effects was selected across all datasets to validate the genes and QTLs. Out of these 1053 SNPs, 77 SNPs associated with 10 drought-responsive transcription factors. These transcription factors were associated with different physiological and molecular functions (stomatal closure, root development, hormonal signaling and photosynthesis). Of several models, Bayes B has been shown to have the highest level of prediction accuracy for our data sets. Our experiments also highlighted several SNPs based on their performance and relative importance to drought tolerance. The result of our experiments is important for the selection of superior genotypes and candidate genes for breeding drought-tolerant maize hybrids.
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Affiliation(s)
- Mittal Shikha
- Division of Genetics, ICAR-Indian Agricultural Research InstituteNew Delhi, India
| | - Arora Kanika
- Division of Genetics, ICAR-Indian Agricultural Research InstituteNew Delhi, India
| | - Atmakuri Ramakrishna Rao
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research InstituteNew Delhi, India
| | | | - Hari Shanker Gupta
- Division of Genetics, ICAR-Indian Agricultural Research InstituteNew Delhi, India
- Office of Director General, Borlaug Institute for South AsiaNew Delhi, India
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Li C, Sun B, Li Y, Liu C, Wu X, Zhang D, Shi Y, Song Y, Buckler ES, Zhang Z, Wang T, Li Y. Numerous genetic loci identified for drought tolerance in the maize nested association mapping populations. BMC Genomics 2016; 17:894. [PMID: 27825295 PMCID: PMC5101730 DOI: 10.1186/s12864-016-3170-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 10/18/2016] [Indexed: 12/18/2022] Open
Abstract
Background Maize requires more water than most other crops; therefore, the water use efficiency of this crop must be improved for maize production under undesirable land and changing environmental conditions. Results To elucidate the genetic control of drought in maize, we evaluated approximately 5000 inbred lines from 30 linkage-association joint mapping populations under two contrasting water regimes for seven drought-related traits, including yield and anthesis-silking interval (ASI). The joint linkage analysis was conducted to identify 220 quantitative trait loci (QTLs) under well-watered conditions and 169 QTLs under water-stressed conditions. The genome-wide association analysis identified 365 single nucleotide polymorphisms (SNPs) associated with drought-related traits, and these SNPs were located in 354 candidate genes. Fifty-two of these genes showed significant differential expression in the inbred line B73 under the well-watered and water-stressed conditions. In addition, genomic predictions suggested that the moderate-density SNPs obtained through genotyping-by-sequencing were able to make accurate predictions in the nested association mapping population for drought-related traits with moderate-to-high heritability under the water-stressed conditions. Conclusions The results of the present study provide important information that can be used to understand the genetic basis of drought stress responses and facilitate the use of beneficial alleles for the improvement of drought tolerance in maize. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3170-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Chunhui Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Baocheng Sun
- Institute of Food Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830000, China
| | - Yongxiang Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Cheng Liu
- Institute of Food Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830000, China
| | - Xun Wu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Dengfeng Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yunsu Shi
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yanchun Song
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Edward S Buckler
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA. .,USA Department of Agriculture-Agricultural Research Service, Ithaca, NY, USA.
| | - Zhiwu Zhang
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, USA.
| | - Tianyu Wang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Yu Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Zaidi PH, Seetharam K, Krishna G, Krishnamurthy L, Gajanan S, Babu R, Zerka M, Vinayan MT, Vivek BS. Genomic Regions Associated with Root Traits under Drought Stress in Tropical Maize (Zea mays L.). PLoS One 2016; 11:e0164340. [PMID: 27768702 PMCID: PMC5074786 DOI: 10.1371/journal.pone.0164340] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 09/24/2016] [Indexed: 12/30/2022] Open
Abstract
An association mapping panel, named as CIMMYT Asia association mapping (CAAM) panel, involving 396 diverse tropical maize lines were phenotyped for various structural and functional traits of roots under drought and well-watered conditions. The experiment was conducted during Kharif (summer-rainy) season of 2012 and 2013 in root phenotyping facility at CIMMYT-Hyderabad, India. The CAAM panel was genotyped to generate 955, 690 SNPs through GBS v2.7 using Illumina Hi-seq 2000/2500 at Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA. GWAS analysis was carried out using 331,390 SNPs filtered from the entire set of SNPs revealed a total of 50 and 67 SNPs significantly associated for root functional (transpiration efficiency, flowering period water use) and structural traits (rooting depth, root dry weight, root length, root volume, root surface area and root length density), respectively. In addition to this, 37 SNPs were identified for grain yield and shoot biomass under well-watered and drought stress. Though many SNPs were found to have significant association with the traits under study, SNPs that were common for more than one trait were discussed in detail. A total 18 SNPs were found to have common association with more than one trait, out of which 12 SNPs were found within or near the various gene functional regions. In this study we attempted to identify the trait specific maize lines based on the presence of favorable alleles for the SNPs associated with multiple traits. Two SNPs S3_128533512 and S7_151238865 were associated with transpiration efficiency, shoot biomass and grain yield under well-watered condition. Based on favorable allele for these SNPs seven inbred lines were identified. Similarly, four lines were identified for transpiration efficiency and shoot biomass under drought stress based on the presence of favorable allele for the common SNPs S1_211520521, S2_20017716, S3_57210184 and S7_130878458 and three lines were identified for flowering period water-use, transpiration efficiency, root dry weight and root volume based on the presence of favorable allele for the common SNPs S3_162065732 and S3_225760139.
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Affiliation(s)
- P. H. Zaidi
- International Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India
- * E-mail:
| | - K. Seetharam
- International Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India
| | - Girish Krishna
- International Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India
| | - L. Krishnamurthy
- International Crops research institute for semi-arid tropics (ICRISAT), Hyderabad, India
| | - S. Gajanan
- International Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India
| | - Raman Babu
- International Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India
| | - M. Zerka
- International Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India
| | - M. T. Vinayan
- International Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India
| | - B. S. Vivek
- International Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India
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Wang X, Wang H, Liu S, Ferjani A, Li J, Yan J, Yang X, Qin F. Genetic variation in ZmVPP1 contributes to drought tolerance in maize seedlings. Nat Genet 2016; 48:1233-41. [PMID: 27526320 DOI: 10.1038/ng.3636] [Citation(s) in RCA: 303] [Impact Index Per Article: 37.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 07/05/2016] [Indexed: 02/07/2023]
Abstract
Maize production is threatened by drought stress worldwide. Identification of the genetic components underlying drought tolerance in maize is of great importance. Here we report a genome-wide association study (GWAS) of maize drought tolerance at the seedling stage that identified 83 genetic variants, which were resolved to 42 candidate genes. The peak GWAS signal showed that the natural variation in ZmVPP1, encoding a vacuolar-type H(+) pyrophosphatase, contributes most significantly to the trait. Further analysis showed that a 366-bp insertion in the promoter, containing three MYB cis elements, confers drought-inducible expression of ZmVPP1 in drought-tolerant genotypes. Transgenic maize with enhanced ZmVPP1 expression exhibits improved drought tolerance that is most likely due to enhanced photosynthetic efficiency and root development. Taken together, this information provides important genetic insights into the natural variation of maize drought tolerance. The identified loci or genes can serve as direct targets for both genetic engineering and selection for maize trait improvement.
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Affiliation(s)
- Xianglan Wang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, China.,Graduate University of the Chinese Academy of Sciences, Beijing, China
| | - Hongwei Wang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, China.,Graduate University of the Chinese Academy of Sciences, Beijing, China
| | - Shengxue Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Ali Ferjani
- Department of Biology, Tokyo Gakugei University, Tokyo, Japan
| | - Jiansheng Li
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xiaohong Yang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China
| | - Feng Qin
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, China
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Abstract
One of the central goals in biology is to understand how and how much of the phenotype of an organism is encoded in its genome. Although many genes that are crucial for organismal processes have been identified, much less is known about the genetic bases underlying quantitative phenotypic differences in natural populations. We discuss the fundamental gap between the large body of knowledge generated over the past decades by experimental genetics in the laboratory and what is needed to understand the genotype-to-phenotype problem on a broader scale. We argue that systems genetics, a combination of systems biology and the study of natural variation using quantitative genetics, will help to address this problem. We present major advances in these two mostly disconnected areas that have increased our understanding of the developmental processes of flowering time control and root growth. We conclude by illustrating and discussing the efforts that have been made toward systems genetics specifically in plants.
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Affiliation(s)
- Takehiko Ogura
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria;
| | - Wolfgang Busch
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria;
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Paes GP, Viana JMS, Silva FFE, Mundim GB. Linkage disequilibrium, SNP frequency change due to selection, and association mapping in popcorn chromosome regions containing QTLs for quality traits. Genet Mol Biol 2016; 39:97-110. [PMID: 27007903 PMCID: PMC4807383 DOI: 10.1590/1678-4685-gmb-2015-0126] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Accepted: 10/09/2015] [Indexed: 11/21/2022] Open
Abstract
The objectives of this study were to assess linkage disequilibrium (LD) and selection-induced changes in single nucleotide polymorphism (SNP) frequency, and to perform association mapping in popcorn chromosome regions containing quantitative trait loci (QTLs) for quality traits. Seven tropical and two temperate popcorn populations were genotyped for 96 SNPs chosen in chromosome regions containing QTLs for quality traits. The populations were phenotyped for expansion volume, 100-kernel weight, kernel sphericity, and kernel density. The LD statistics were the difference between the observed and expected haplotype frequencies (D), the proportion of D relative to the expected maximum value in the population, and the square of the correlation between the values of alleles at two loci. Association mapping was based on least squares and Bayesian approaches. In the tropical populations, D-values greater than 0.10 were observed for SNPs separated by 100-150 Mb, while most of the D-values in the temperate populations were less than 0.05. Selection for expansion volume indirectly led to increase in LD values, population differentiation, and significant changes in SNP frequency. Some associations were observed for expansion volume and the other quality traits. The candidate genes are involved with starch, storage protein, lipid, and cell wall polysaccharides synthesis.
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Affiliation(s)
- Geísa Pinheiro Paes
- Departamento de Biologia Geral, Universidade Federal de Viçosa, Viçosa, MG, Brazil
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