1
|
Ha X, Zhang J, Chen F, Wang Y, Ma T, Ma H. Molecular mechanisms of high tiller development based on transcriptome and proteome correlation analysis in Poa pratensis. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2025; 221:109655. [PMID: 39983601 DOI: 10.1016/j.plaphy.2025.109655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Revised: 02/10/2025] [Accepted: 02/14/2025] [Indexed: 02/23/2025]
Abstract
Poa pratensis, a high-quality forage and turfgrass, plays a significant role in grassland construction, biodiversity maintenance, and ecological restoration, and has considerable ecological value. Exploring the molecular mechanisms of high tillering occurrence in Kentucky bluegrass is an effective approach for understanding nutrient dense germplasm materials. Additionally, it provides a theoretical foundation for enhancements in plant yield and competitive survival. In this study, statistical analyses of tiller number and tiller node diameter in two wild Kentucky bluegrass germplasms from Gansu Province were conducted. Transcriptome and proteomic analyses were performed on the tillering nodes of these grasses at various tillering stages, aiming to identify the genes, proteins, and pathways that regulate tillering formation. The 'SN' variety was found to possess stronger tillering abilities and greater tillering potential. Through RNA sequencing (RNA-Seq) and DIA quantitative proteomics, a total of 331,749 Unigenes and 21,140 proteins were identified. Among these, 29,932 Unigenes exhibited differential expression and 6974 proteins demonstrated differential accumulation between the tillering nodes of the two varieties of Kentucky bluegrass. KEGG analysis indicated that differentially expressed genes and proteins were significantly enriched in pathways such as phenylpropanoid biosynthesis, plant hormone signal transduction, glutathione metabolism, starch and sucrose metabolism, as well as secondary metabolite biosynthesis. Joint transcriptome and proteome analysis identified 784, 733, and 483 genes/proteins that were coordinately expressed between the 'SN' and 'QS' varieties at the prophase, peak, and anaphase stages of tillering, respectively. KEGG analysis was conducted on these genes and proteins, revealing that pathways such as phenylpropanoid biosynthesis, glutathione metabolism, and photosynthesis were likely involved in regulating the growth and development of tillers. This study elucidated the biological and metabolic characteristics of Kentucky bluegrass at different tillering stages, aiding in the identification of genes and proteins associated with tillering formation. This work establishes a theoretical foundation for exploring the mechanisms of tillering formation in Kentucky bluegrass.
Collapse
Affiliation(s)
- Xue Ha
- College of Pratacultural Science, Gansu Agricultural University, Key Laboratory of Grassland Ecosystem, Ministry of Education, Pratacultural Engineering Laboratory of Gansu Province, Sino-U.S. Center for Grazingland Ecosystem Sustainability, Lanzhou, 730070, Gansu, China
| | - Jingqing Zhang
- College of Pratacultural Science, Gansu Agricultural University, Key Laboratory of Grassland Ecosystem, Ministry of Education, Pratacultural Engineering Laboratory of Gansu Province, Sino-U.S. Center for Grazingland Ecosystem Sustainability, Lanzhou, 730070, Gansu, China
| | - Feqi Chen
- College of Pratacultural Science, Gansu Agricultural University, Key Laboratory of Grassland Ecosystem, Ministry of Education, Pratacultural Engineering Laboratory of Gansu Province, Sino-U.S. Center for Grazingland Ecosystem Sustainability, Lanzhou, 730070, Gansu, China
| | - Yong Wang
- College of Pratacultural Science, Gansu Agricultural University, Key Laboratory of Grassland Ecosystem, Ministry of Education, Pratacultural Engineering Laboratory of Gansu Province, Sino-U.S. Center for Grazingland Ecosystem Sustainability, Lanzhou, 730070, Gansu, China
| | - Ting Ma
- College of Pratacultural Science, Gansu Agricultural University, Key Laboratory of Grassland Ecosystem, Ministry of Education, Pratacultural Engineering Laboratory of Gansu Province, Sino-U.S. Center for Grazingland Ecosystem Sustainability, Lanzhou, 730070, Gansu, China
| | - Huiling Ma
- College of Pratacultural Science, Gansu Agricultural University, Key Laboratory of Grassland Ecosystem, Ministry of Education, Pratacultural Engineering Laboratory of Gansu Province, Sino-U.S. Center for Grazingland Ecosystem Sustainability, Lanzhou, 730070, Gansu, China.
| |
Collapse
|
2
|
Wang C, Chai S, Li S, Liu D, Han H, Wu Y, Li Y, Ma Z, Zhang L, Gao X, Yang P. Genetic dissection of foxtail millet bristles using combined QTL mapping and RNA-seq. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2025; 138:33. [PMID: 39847146 DOI: 10.1007/s00122-025-04820-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 01/10/2025] [Indexed: 01/24/2025]
Abstract
KEY MESSAGE QTL mapping of two RIL populations in multiple environments revealed a consistent QTL for bristle length, and combined with RNA-seq, a potential candidate gene influencing bristle length was identified. Foxtail millet bristles play a vital role in increasing yields and preventing bird damage. However, there is currently limited research on the molecular regulatory mechanisms underlying foxtail millet bristle formation, which constrains the genetic improvement and breeding of new foxtail millet varieties. This study leveraged genetic linkage maps from two populations: the published RYRIL population (Hongjiugu × Yugu 18) with 1420 bins and the newly established YYRIL population (Huangruangu × Yugu 18) with 542 bins. We identified 17 QTLs associated with bristle length, explaining 1.76-47.37% of the phenotypic variation. Among these, 6 were multi-environment QTLs, and 11 were environment-specific QTLs. Notably, qBL-1-1 and qBL-3-2 were detected in both populations, and exhibited epistasis interactions. By analyzing genotypic data from the RYRIL population and its parents, we identified two lines with significant variation in bristle length at the qBL-1-1 locus, designated CM3 (short) and CM4 (long). RNA-seq during the flowering phase identified 1812 differentially expressed genes (DEGs). Thirty-three DEGs were identified within 6 multi-environment QTL regions, and the RNA-seq results were validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Within the qBL-1-1 region, Seita.1G325800 is predicted to be a key candidate gene controlling foxtail millet bristle length. These findings provide preliminary insights into the genetic basis of bristle development and lay a foundation for the genetic improvement of foxtail millet bristle length.
Collapse
Affiliation(s)
- Chuanxing Wang
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Shaohua Chai
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Shiru Li
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Delong Liu
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Huibing Han
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Yongjiang Wu
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Yujie Li
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Zhixiu Ma
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Liyuan Zhang
- Chifeng Institute of Agriculture and Animal Husbandry Science, Chifeng, 024000, China
| | - Xiaoli Gao
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China
| | - Pu Yang
- College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
| |
Collapse
|
3
|
Ma C, Yu Y, Liu F, Lin L, Zhang K, Liu N, Zhang H. Influence mechanism of awns on wheat grain Pb absorption: Awns' significant contribution to grain Pb was mainly originated from their direct absorption of atmospheric Pb at the late grain-filling stage. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 257:114957. [PMID: 37105099 DOI: 10.1016/j.ecoenv.2023.114957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 04/10/2023] [Accepted: 04/23/2023] [Indexed: 05/08/2023]
Abstract
The spike is the organ that contributes the most to lead (Pb) accumulation in wheat grains. However, as an important photosynthetic and transpiration tissue in spike, the role of awn in wheat grain Pb absorption remains unknown. A field experiment was conducted to investigate the influence mechanism of awn on grain Pb accumulation through two comparative treatments: with and without awns (de-awned treatment). The de-awned treatment decreased wheat yield by 4.1 %; however, it significantly lowered the grain Pb accumulation rate at the late filling stage (15 days after anthesis) and led to a 22.8 % decrease in grain Pb concentration from 0.57 to 0.44 mg·kg-1. Moreover, the relative contribution of awn-to-grain Pb accumulation gradually increased with the filling process, finally reaching 26.6 % at maturity. In addition, Pb isotope source analysis indicated that the Pb in the awn and grain mainly originated from atmospheric deposition, and the de-awned treatment decreased the proportion of grain Pb from atmospheric deposition by 8.9 %. Microstructural observations further confirmed that the contribution of awns to grain Pb accumulation mainly originated from their direct absorption of atmospheric Pb. In conclusion, awns play an important role in wheat grain Pb absorption at the late grain-filling stage; planting awnless or short-awn wheat varieties may be the simplest and effective environmental management measure to reduce the health risks of Pb in wheat in regions with serious atmospheric Pb contamination.
Collapse
Affiliation(s)
- Chuang Ma
- Henan Collaborative Innovation Center of Environmental Pollution Control and Ecological Restoration, Zhengzhou University of Light Industry, Zhengzhou 45000, China.
| | - Yawei Yu
- Henan Collaborative Innovation Center of Environmental Pollution Control and Ecological Restoration, Zhengzhou University of Light Industry, Zhengzhou 45000, China
| | - Fuyong Liu
- Henan Collaborative Innovation Center of Environmental Pollution Control and Ecological Restoration, Zhengzhou University of Light Industry, Zhengzhou 45000, China; Department of Chemistry, University of Camerino, Camerino, 62032 Macerata, Italy
| | - Lin Lin
- Henan Collaborative Innovation Center of Environmental Pollution Control and Ecological Restoration, Zhengzhou University of Light Industry, Zhengzhou 45000, China
| | - Ke Zhang
- Henan Collaborative Innovation Center of Environmental Pollution Control and Ecological Restoration, Zhengzhou University of Light Industry, Zhengzhou 45000, China
| | - Nan Liu
- Henan Collaborative Innovation Center of Environmental Pollution Control and Ecological Restoration, Zhengzhou University of Light Industry, Zhengzhou 45000, China
| | - Hongzhong Zhang
- Henan Collaborative Innovation Center of Environmental Pollution Control and Ecological Restoration, Zhengzhou University of Light Industry, Zhengzhou 45000, China.
| |
Collapse
|
4
|
Li T, Zhu D, Han Z, Zhang J, Zhang M, Yan Y. Label-Free Quantitative Proteome Analysis Reveals the Underlying Mechanisms of Grain Nuclear Proteins Involved in Wheat Water-Deficit Response. FRONTIERS IN PLANT SCIENCE 2021; 12:748487. [PMID: 34759942 PMCID: PMC8572964 DOI: 10.3389/fpls.2021.748487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/05/2021] [Indexed: 06/13/2023]
Abstract
In this study, we performed the first nuclear proteome analysis of wheat developing grains under water deficit by using a label-free based quantitative proteomic approach. In total, we identified 625 unique proteins as differentially accumulated proteins (DAPs), of which 398 DAPs were predicted to be localized in nucleus. Under water deficit, 146 DAPs were up-regulated and mainly involved in the stress response and oxidation-reduction process, while 252 were down-regulated and mainly participated in translation, the cellular amino metabolic process, and the oxidation-reduction process. The cis-acting elements analysis of the key nuclear DAPs encoding genes demonstrated that most of these genes contained the same cis-acting elements in the promoter region, mainly including ABRE involved in abscisic acid response, antioxidant response element, MYB responsive to drought regulation and MYC responsive to early drought. The cis-acting elements related to environmental stress and hormones response were relatively abundant. The transcription expression profiling of the nuclear up-regulated DAPs encoding genes under different organs, developmental stages and abiotic stresses was further detected by RNA-seq and Real-time quantitative polymerase chain reaction, and more than 50% of these genes showed consistency between transcription and translation expression. Finally, we proposed a putative synergistic responsive network of wheat nuclear proteome to water deficit, revealing the underlying mechanisms of wheat grain nuclear proteome in response to water deficit.
Collapse
Affiliation(s)
- Tingting Li
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University, Beijing, China
| | - Dong Zhu
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University, Beijing, China
| | - Zhisheng Han
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University, Beijing, China
| | - Junwei Zhang
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University, Beijing, China
| | - Ming Zhang
- College of Agricultural and Biological Engineering (College of Tree Peony), Heze University, Heze, China
| | - Yueming Yan
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University, Beijing, China
| |
Collapse
|
5
|
Wang X, Deng X, Zhu D, Duan W, Zhang J, Yan Y. N-linked glycoproteome analysis reveals central glycosylated proteins involved in wheat early seedling growth. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2021; 163:327-337. [PMID: 33906120 DOI: 10.1016/j.plaphy.2021.04.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
Glycosylation is an important protein post-translational modification in eukaryotic organisms. It is involved in many important life processes, such as cell recognition, differentiation, development, signal transduction and immune response. This study carried out the first N-linked glycosylation proteome analysis of wheat seedling leaves using HILIC glycosylation enrichment, chemical deglycosylation, HPLC separation and tandem mass spectrometric identification. In total, we detected 308 glycosylated peptides and 316 glycosylated sites corresponding to 248 unique glycoproteins. The identified glycoproteins were mainly concentrated in plasma membranes (25.6%), cell wall (16.8%) and extracellular area (16%). In terms of molecular function, 65% glycoproteins belonged to various enzymes with catalytic activity such as kinase, carboxypeptidase, peroxidase and phosphatase, and, particularly, 25% of glycoproteins were related to binding functions. These glycoproteins are involved in cell wall reconstruction, biomacromolecular metabolism, signal transduction, endoplasmic reticulum quality control and stress response. Analysis indicated that 57.66% of glycoproteins were highly conserved in other plant species while 42.34% of glycoproteins went unidentified among the conserved glycosylated homologous proteins in other plant species; these may be the new N-linked glycosylated proteins first identified in wheat. The glycosylation sites generally occurred on the random coil, which could play roles in maintaining the structural stability of proteins. PNGase F digestion and glycosylation site mutations further verified the glycosylation modification and glycosylation sites of LRR receptor-like serine/threonine-protein kinase (LRR-RLK) and Beta-D-glucan exohydrolase (β-D-GEH). Our results indicated that N-linked glycosylated proteins could play important roles in the early seedling growth of wheat.
Collapse
Affiliation(s)
- Xueqian Wang
- College of Life Science, Capital Normal University, 100048, Beijing, China.
| | - Xiong Deng
- College of Life Science, Capital Normal University, 100048, Beijing, China.
| | - Dong Zhu
- College of Life Science, Capital Normal University, 100048, Beijing, China.
| | - Wenjing Duan
- College of Life Science, Capital Normal University, 100048, Beijing, China.
| | - Junwei Zhang
- College of Life Science, Capital Normal University, 100048, Beijing, China.
| | - Yueming Yan
- College of Life Science, Capital Normal University, 100048, Beijing, China.
| |
Collapse
|
6
|
Luo W, Gong Y, Tang Y, Pu P, Yang X, Zhou C, Lv J, Yan X. Glutathione and ethylene biosynthesis reveal that the glume and lemma have better tolerance to water deficit in wheat. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2021; 160:120-129. [PMID: 33485150 DOI: 10.1016/j.plaphy.2021.01.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 01/07/2021] [Indexed: 06/12/2023]
Abstract
As senescence progresses, the sensitivity of wheat organs to plant hormones during the grain-filling stages cannot be ignored. Especially under water deficit situation, non-leaf organs (spikes) have better photosynthesis and drought-tolerance traits than flag leaves. However, the mechanism of ethylene synthesis in wheat organs under water deficit remains unclear. We have studied the influence of water deficit in wheat flag leaves and spike bracts on photosynthetic parameters and on the expression of key enzymes involved in the ethylene biosynthesis pathway during the late grain-filling stages. More stable chlorophyll content (Chl), maximum PSII quantum yield (Fv/Fm), nonphotochemical quenching (NPQ) and maximal efficiency of PSII photochemistry under light adaptation (Fv'/Fm') were observed in the spike bracts than that in the flag leaves during the late grain-filling stages. In addition, the activity of glutathione reductase (GR), γ-glutamylcysteine synthetase (γ-ECS), 1-aminocyclopropane-1-carboxylic (ACC) acid synthase (ACS), and ACC oxidase (ACO) induced ethylene synthesis and influenced plant growth. Further analysis of genes encoding cysteine-ethylene related proteins (γ-ECS, GR, ACO, ACS1, and ASC2) demonstrated that ear organs and flag leaves exhibited different expression patterns. These findings will facilitate future investigations of the regulatory senescence response mechanisms of cysteine interaction with ethylene in wheat under conditions of drought stress.
Collapse
Affiliation(s)
- Wen Luo
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, PR China
| | - Yanzhen Gong
- College of Chemistry & Pharmacy, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Yan Tang
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, PR China
| | - Peng Pu
- College of Vveterinary Mmedicine, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Xiangna Yang
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, PR China
| | - Chunju Zhou
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, PR China
| | - Jinyin Lv
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, PR China.
| | - Xia Yan
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, PR China.
| |
Collapse
|
7
|
Ntakirutimana F, Xie W. Unveiling the Actual Functions of Awns in Grasses: From Yield Potential to Quality Traits. Int J Mol Sci 2020; 21:ijms21207593. [PMID: 33066600 PMCID: PMC7589186 DOI: 10.3390/ijms21207593] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/08/2020] [Accepted: 10/12/2020] [Indexed: 12/25/2022] Open
Abstract
Awns, which are either bristles or hair-like outgrowths of lemmas in the florets, are one of the typical morphological characteristics of grass species. These stiff structures contribute to grain dispersal and burial and fend off animal predators. However, their phenotypic and genetic associations with traits deciding potential yield and quality are not fully understood. Awns appear to improve photosynthesis, provide assimilates for grain filling, thus contributing to the final grain yield, especially under temperature- and water-stress conditions. Long awns, however, represent a competing sink with developing kernels for photosynthates, which can reduce grain yield under favorable conditions. In addition, long awns can hamper postharvest handling, storage, and processing activities. Overall, little is known about the elusive role of awns, thus, this review summarizes what is known about the effect of awns on grain yield and biomass yield, grain nutritional value, and forage-quality attributes. The influence of awns on the agronomic performance of grasses seems to be associated with environmental and genetic factors and varies in different stages of plant development. The contribution of awns to yield traits and quality features previously documented in major cereal crops, such as rice, barley, and wheat, emphasizes that awns can be targeted for yield and quality improvement and may advance research aimed at identifying the phenotypic effects of morphological traits in grasses.
Collapse
|
8
|
Iquebal MA, Sharma P, Jasrotia RS, Jaiswal S, Kaur A, Saroha M, Angadi UB, Sheoran S, Singh R, Singh GP, Rai A, Tiwari R, Kumar D. RNAseq analysis reveals drought-responsive molecular pathways with candidate genes and putative molecular markers in root tissue of wheat. Sci Rep 2019; 9:13917. [PMID: 31558740 PMCID: PMC6763491 DOI: 10.1038/s41598-019-49915-2] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 08/12/2019] [Indexed: 01/08/2023] Open
Abstract
Drought is one of the major impediments in wheat productivity. Traditional breeding and marker assisted QTL introgression had limited success. Available wheat genomic and RNA-seq data can decipher novel drought tolerance mechanisms with putative candidate gene and marker discovery. Drought is first sensed by root tissue but limited information is available about how roots respond to drought stress. In this view, two contrasting genotypes, namely, NI5439 41 (drought tolerant) and WL711 (drought susceptible) were used to generate ~78.2 GB data for the responses of wheat roots to drought. A total of 45139 DEGs, 13820 TF, 288 miRNAs, 640 pathways and 435829 putative markers were obtained. Study reveals use of such data in QTL to QTN refinement by analysis on two model drought-responsive QTLs on chromosome 3B in wheat roots possessing 18 differentially regulated genes with 190 sequence variants (173 SNPs and 17 InDels). Gene regulatory networks showed 69 hub-genes integrating ABA dependent and independent pathways controlling sensing of drought, root growth, uptake regulation, purine metabolism, thiamine metabolism and antibiotics pathways, stomatal closure and senescence. Eleven SSR markers were validated in a panel of 18 diverse wheat varieties. For effective future use of findings, web genomic resources were developed. We report RNA-Seq approach on wheat roots describing the drought response mechanisms under field drought conditions along with genomic resources, warranted in endeavour of wheat productivity.
Collapse
Affiliation(s)
- Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India
| | - Pradeep Sharma
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - Rahul Singh Jasrotia
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India
| | - Amandeep Kaur
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - Monika Saroha
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - U B Angadi
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India
| | - Sonia Sheoran
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - Rajender Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - G P Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India
| | - Ratan Tiwari
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
| |
Collapse
|