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Lap B, Magudeeswari P, Tyagi W, Rai M. Genetic analysis of purple pigmentation in rice seed and vegetative parts - implications on developing high-yielding purple rice (Oryza sativa L.). J Appl Genet 2024; 65:241-254. [PMID: 38191812 DOI: 10.1007/s13353-023-00825-0] [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: 07/18/2023] [Revised: 12/08/2023] [Accepted: 12/26/2023] [Indexed: 01/10/2024]
Abstract
Pigmentation in rice grains is an important quality parameter. Purple-coloured rice (Oryza sativa L.) indicates the presence of high anthocyanin with benefits of antioxidant properties. However, the genetic mechanism of grain colour is not fully understood. Therefore, the study focused on understanding pigmentation in grain pericarp and vegetative parts, and its relationship with blast resistance and enhanced grain yield. Three local cultivars from the northeastern region (NER) of India - Chakhao Poireiton (purple), Mang Meikri (light brown), and Kala Joha (white) - along with high-yielding varieties (HYVs) Shasharang (light brown) and Sahbhagi dhan (white) were used to develop biparental populations. The findings suggested that pigmentation in vegetative tissue was governed by the inter-allelic interaction of several genes. Haplotype analysis revealed that Kala3 complemented Kala4 in enhancing purple pigmentation and that Kala4 is not the only gene responsible for purple colour as evident by the presence of a desired allele for markers RID3 and RID4 (Kala4 locus) in Chakhao Poireiton and Kala Joha irrespective of their pericarp colour, implying the involvement of some other additional, unidentified genes/loci. RID3 and RID4 together with RM15191 (Kala3 locus) could be employed as a reliable marker set for marker-assisted selection (MAS). Pericarp colour was strongly correlated with colour in different vegetative parts, but showed a negative correlation with grain yield. Pb1, reported to be associated with panicle blast resistance, contributed to leaf blast resistance. Transgressive segregants for improved pigmentation and high yield were identified. The selection of lines exhibiting coloured pericarp, high anthocyanin content, aroma, blast resistance, and increased yield compared to their respective HYV parents will be valuable resources in the rice breeding programme.
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Affiliation(s)
- Bharati Lap
- School of Crop Improvement, College of Post Graduate Studies in Agricultural Sciences (CPGSAS), Central Agricultural University (Imphal), Umiam, Meghalaya, India
| | - P Magudeeswari
- School of Crop Improvement, College of Post Graduate Studies in Agricultural Sciences (CPGSAS), Central Agricultural University (Imphal), Umiam, Meghalaya, India
| | - Wricha Tyagi
- School of Crop Improvement, College of Post Graduate Studies in Agricultural Sciences (CPGSAS), Central Agricultural University (Imphal), Umiam, Meghalaya, India
- Present Address: CMBTE, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, India
| | - Mayank Rai
- School of Crop Improvement, College of Post Graduate Studies in Agricultural Sciences (CPGSAS), Central Agricultural University (Imphal), Umiam, Meghalaya, India.
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Zhang L, Zhang Y, Wang X, Zhao Y. Correlation of levels of lactic acid and glucose in cerebrospinal fluid of cerebral hemorrhage patients with the occurrence of postoperative intracranial infection and clinical prognosis. J Med Biochem 2024; 43:36-42. [PMID: 38496025 PMCID: PMC10943468 DOI: 10.5937/jomb0-44058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/11/2023] [Indexed: 03/19/2024] Open
Abstract
Background Cerebral haemorrhage is a critical condition that often requires surgical treatment, and postoperative intracranial infection can significantly impact patient outcomes. The aim of the study was to examine the relationship between the levels of lactic acid and glucose in cerebrospinal fluid (CSF) of patients with cerebral haemorrhage and their postoperative intracranial infection and clinical prognosis. Methods The study selected the clinical data of 324 patients with cerebral haemorrhage who underwent surgical treatment in our hospital from March 2020 to March 2022 for retrospective analysis and divided these patients into the intracranial infection group (Group A, n=22, leukocyte values in CSF>5×106/L) and the non-intracranial infection group (Group B, n=302, leukocyte values in CSF 5×106/L) according to the occurrence of postoperative intracranial infection in patients to detect the levels of lactic acid and glucose in CSF at different times in the two groups. Pearson method was adopted to analyze the correlation of the levels of lactic acid and glucose in CSF of patients with intracranial infection, and the Glasgow Outcome Scale (GOS) was used to assess the clinical prognosis of patients. According to their scores, these patients were divided into the good prognosis group (GPG, scores of 4-5 points, n=178) and the poor prognosis group (PPG, scores of 1-3 points, n=146). The levels of lactic acid and glucose in the CSF of patients in the two groups were measured, and the Pearson method was adopted to analyze the relationship between these levels and clinical prognosis.
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Affiliation(s)
- Lei Zhang
- Dongying Peoples Hospital, Department of Emergency Critical Care Medicine, Dongying, China
| | - Yan Zhang
- Dongying Peoples Hospital, Department of Emergency Critical Care Medicine, Dongying, China
| | - Xiaotian Wang
- Dongying Peoples Hospital, Department of Emergency Critical Care Medicine, Dongying, China
| | - Yun Zhao
- Dongying Peoples Hospital, Administration Department of Nosocomial Infection Dongying, China
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Jiang T, He Y, Wu Z, Cui Y, Wang X, Huang H, Fan Y, Han M, Wang J, Wang S, Chen X, Lu X, Wang D, Guo L, Zhao L, Hao F, Ye W. Enhancing stimulation of cyaniding, GhLDOX3 activates reactive oxygen species to regulate tolerance of alkalinity negatively in cotton. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 267:115655. [PMID: 37924802 DOI: 10.1016/j.ecoenv.2023.115655] [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: 07/12/2023] [Revised: 10/22/2023] [Accepted: 10/30/2023] [Indexed: 11/06/2023]
Abstract
Anthocyanins belong to flavonoid secondary metabolites that act as plant pigments to give flowers and fruits different colors and as "scavengers" of reactive oxygen species (ROS) to protect plants from abiotic and biotic stresses. Few studies linked anthocyanins to alkaline resistance so far. In this study, anthocyanin synthesis-related gene leucoanthocyanidin dioxygenase (LDOX) was screened as a candidate gene to explore its relationship with alkali stress. The results found that pYL156: GhLDOX3 lines treated with 50 mM Na2CO3 (pH 11.11) for 24 h showed a significant increase in peroxidase (POD) activity, a decrease in total anthocyanin content and an increase in cyanidin content and a decrease in ROS accumulation compared to pYL156. The overexpressed (OE) lines, ldox mutant and wild-type (WT) lines in Arabidopsis were treated with 50 mM Na2CO3, 100 mM Na2CO3 and 150 mM Na2CO3 for 8 d, respectively. The wilted degree of the OE lines was more severe than WT lines, and less severe in the mutant lines in the 150 mM Na2CO3 treatment. After treatment, the expression levels of AtCAT and AtGSH genes related to antioxidant system in OE lines were significantly lower than in WT, and the expression levels of AtCAT and AtGSH in mutant lines were significantly higher than in WT. In conclusion, the above results suggest GhLDOX3 played a negative regulatory role in the mechanism of resisting Na2CO3 stress. Therefore, it can be considered in cotton breeding to improve the alkali tolerance of cotton by regulating the expression of related genes.
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Affiliation(s)
- Tiantian Jiang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization / School of Life Sciences, Henan University, Kaifeng 475004, Henan, China
| | - Yunxin He
- Hunan Institute of Cotton Science, Changde 415101, Hunan, China
| | - Zhe Wu
- Institute of Coastal Agriculture, Hebei Academy of Agriculture and Forestry Sciences, Tangshan 063299, Hebei, China
| | - Yupeng Cui
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Xiuping Wang
- Institute of Coastal Agriculture, Hebei Academy of Agriculture and Forestry Sciences, Tangshan 063299, Hebei, China
| | - Hui Huang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Yapeng Fan
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Mingge Han
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Junjuan Wang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Shuai Wang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Xiugui Chen
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Xuke Lu
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Delong Wang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Lixue Guo
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Lanjie Zhao
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China
| | - Fushun Hao
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization / School of Life Sciences, Henan University, Kaifeng 475004, Henan, China.
| | - Wuwei Ye
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences / Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang 455000, Henan, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization / School of Life Sciences, Henan University, Kaifeng 475004, Henan, China.
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Sgaramella N, Nigro D, Pasqualone A, Signorile MA, Laddomada B, Sonnante G, Blanco E, Simeone R, Blanco A. Genetic Mapping of Flavonoid Grain Pigments in Durum Wheat. PLANTS (BASEL, SWITZERLAND) 2023; 12:1674. [PMID: 37111897 PMCID: PMC10142998 DOI: 10.3390/plants12081674] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 06/19/2023]
Abstract
Pigmented cereal grains with high levels of flavonoid compounds have attracted the attention of nutritional science backing the development of functional foods with claimed health benefits. In this study, we report results on the genetic factors controlling grain pigmentation in durum wheat using a segregant population of recombinant inbred lines (RILs) derived from a cross between an Ethiopian purple grain accession and an Italian amber grain cultivar. The RIL population was genotyped by the wheat 25K SNP array and phenotyped for total anthocyanin content (TAC), grain color, and the L*, a*, and b* color index of wholemeal flour, based on four field trials. The mapping population showed a wide variation for the five traits in the different environments, a significant genotype x environment interaction, and high heritability. A total of 5942 SNP markers were used for constructing the genetic linkage map, with an SNP density ranging from 1.4 to 2.9 markers/cM. Two quantitative trait loci (QTL) were identified for TAC mapping on chromosome arms 2AL and 7BS in the same genomic regions of two detected QTL for purple grain. The interaction between the two QTL was indicative of an inheritance pattern of two loci having complementary effects. Moreover, two QTL for red grain color were detected on chromosome arms 3AL and 3BL. The projection of the four QTL genomic regions on the durum wheat Svevo reference genome disclosed the occurrence of the candidate genes Pp-A3, Pp-B1, R-A1, and R-B1 involved in flavonoid biosynthetic pathways and encoding of transcription factors bHLH (Myc-1) and MYB (Mpc1, Myb10), previously reported in common wheat. The present study provides a set of molecular markers associated with grain pigments useful for the selection of essential alleles for flavonoid synthesis in durum wheat breeding programs and enhancement of the health-promoting quality of derived foods.
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Affiliation(s)
- Natalia Sgaramella
- Department of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (N.S.); (D.N.); (A.P.); (M.A.S.)
| | - Domenica Nigro
- Department of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (N.S.); (D.N.); (A.P.); (M.A.S.)
| | - Antonella Pasqualone
- Department of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (N.S.); (D.N.); (A.P.); (M.A.S.)
| | - Massimo Antonio Signorile
- Department of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (N.S.); (D.N.); (A.P.); (M.A.S.)
| | - Barbara Laddomada
- Institute of Sciences of Food Production (ISPA), National Research Council (CNR), Via Prov.le Monteroni, 73100 Lecce, Italy;
| | - Gabriella Sonnante
- Institute of Biosciences and Bioresources, National Research Council (CNR), Via Amendola 165/A, 70126 Bari, Italy; (G.S.); (E.B.)
| | - Emanuela Blanco
- Institute of Biosciences and Bioresources, National Research Council (CNR), Via Amendola 165/A, 70126 Bari, Italy; (G.S.); (E.B.)
| | - Rosanna Simeone
- Department of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (N.S.); (D.N.); (A.P.); (M.A.S.)
| | - Antonio Blanco
- Department of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (N.S.); (D.N.); (A.P.); (M.A.S.)
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Wang W, Qiu X, Wang Z, Xie T, Sun W, Xu J, Zhang F, Yu S. Deciphering the Genetic Architecture of Color Variation in Whole Grain Rice by Genome-Wide Association. PLANTS (BASEL, SWITZERLAND) 2023; 12:927. [PMID: 36840275 PMCID: PMC9960595 DOI: 10.3390/plants12040927] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Whole grain rice is recommended in a natural healthy diet because of its high nutritional and healthful benefits compared to polished or white rice. The whole grain contains the pericarp with many assorted colors (such as brown, red, and black) associated with taste and commercial quality. The color attributes of whole grain or brown rice are usually undesirable and need to be improved. To decipher the genetic basis of color variation in the whole grain rice, we conducted a genome-wide association analysis of three parameters of grain colors (brightness, redness, and yellowness) in a panel of 682 rice accessions. Twenty-six loci were identified for the color parameters, implying that grain color is under polygenic control. Among them, some major-effect loci were co-localized with the previously identified genes such as Rc and Rd. To eliminate the possible mask of Rc on other loci influencing grain color, we performed the association analysis in a subset of the panel that excluded the pigmented (red and black) rice. Eighteen loci or SNPs were detected to be associated with grain color in the subpopulation, many of which were not reported before. Two significant peak SNP regions on chromosomes 1 and 9 were validated using near-isogenic lines. Based on differential expression analysis of annotated genes within the SNP regions and metabolic analysis of pooled extreme samples, we found at least three annotated genes as potential candidates involved in the flavonoid metabolic pathway related to pericarp color. These results provide insights into the genetic basis of rice grain color and facilitate genomic breeding to improve appearance and commercial quality of whole grain rice.
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Affiliation(s)
- Wenjun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Xianjin Qiu
- College of Agriculture, Yangtze University, Jingzhou 434025, China
| | - Ziqi Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Tianyi Xie
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Wenqiang Sun
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Jianlong Xu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Fan Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Sibin Yu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
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Zhou Y, Lv J, Yu Z, Wang Z, Li Y, Li M, Deng Z, Xu Q, Cui F, Zhou W. Integrated metabolomics and transcriptomic analysis of the flavonoid regulatory networks in Sorghum bicolor seeds. BMC Genomics 2022; 23:619. [PMID: 36028813 PMCID: PMC9414139 DOI: 10.1186/s12864-022-08852-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 08/17/2022] [Indexed: 11/10/2022] Open
Abstract
Background The objective of this study was to reveal the flavonoid biosynthesis pathway in white (Z6), red (Z27) and black (HC4) seeds of the sweet sorghum (Sorghum bicolor) using metabolomics and transcriptomics, to identify different flavonoid metabolites, and to analyze the differentially expressed genes involved in flavonoid biosynthesis. Results We analyzed the metabolomics and transcriptomics data of sweet sorghum seeds. Six hundred and fifty-one metabolites including 171 flavonoids were identified in three samples. Integrated analysis of transcriptomics and metabolomics showed that 8 chalcone synthase genes (gene19114, gene19115, gene19116, gene19117, gene19118, gene19120, gene19122 and gene19123) involved in flavonoid biosynthesis, were identified and play central role in change of color. Six flavanone including homoeriodictyol, naringin, prunin, naringenin, hesperetin and pinocembrin were main reason for the color difference. Conclusions Our results provide valuable information on the flavonoid metabolites and the candidate genes involved in the flavonoid biosynthesis pathway in sweet sorghum seeds.
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Affiliation(s)
- Yaxing Zhou
- Agricultural College, Inner Mongolia Minzu University, No. 996 Xilamulun Street, Kerqin District, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Jingbo Lv
- Tongliao Agriculture and Animal Husbandry Research Institute, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Zhonghao Yu
- Agricultural College, Inner Mongolia Minzu University, No. 996 Xilamulun Street, Kerqin District, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Zhenguo Wang
- Tongliao Agriculture and Animal Husbandry Research Institute, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Yan Li
- Tongliao Agriculture and Animal Husbandry Research Institute, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Mo Li
- Tongliao Agriculture and Animal Husbandry Research Institute, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Zhilan Deng
- Tongliao Agriculture and Animal Husbandry Research Institute, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Qingquan Xu
- Tongliao Agriculture and Animal Husbandry Research Institute, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Fengjuan Cui
- Tongliao Agriculture and Animal Husbandry Research Institute, Tongliao, 028000, Inner Mongolia, People's Republic of China
| | - Wei Zhou
- Agricultural College, Inner Mongolia Minzu University, No. 996 Xilamulun Street, Kerqin District, Tongliao, 028000, Inner Mongolia, People's Republic of China.
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Dar NA, Mir MA, Mir JI, Mansoor S, Showkat W, Parihar TJ, Haq SAU, Wani SH, Zaffar G, Masoodi KZ. MYB-6 and LDOX-1 regulated accretion of anthocyanin response to cold stress in purple black carrot (Daucus carota L.). Mol Biol Rep 2022; 49:5353-5364. [PMID: 35088377 DOI: 10.1007/s11033-021-07077-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 12/09/2021] [Indexed: 12/11/2022]
Abstract
AIM Anthocyanin, an essential ingredient of functional foods, is present in a wide range of plants, including black carrots. The current investigation was carried out to analyse the effect of cold stress on the expression of major anthocyanins and anthocyanin biosynthetic pathway genes, MYB6 and LDOX-1. METHODS AND RESULTS Five cultivated carrot genotypes belonging to the eastern group, having anthocyanin pigment, were used in the current study. The qRT-PCR analysis revealed that relative gene expression of transcription factor MYB-6 and LDOX1gene was highly expressed upon cold stress compared to non-stress samples. High-performance liquid chromatography-based quantification of Cyanidin 3-O-glucoside (Kuromanin chloride), Ferulic acid, 3,5-Dimethoxy-4-hydroxycinnamic acid (Sinapic acid), and Rutin revealed a significant increase in these major anthocyanins in response to cold stress when compared to control plants. CONCLUSION We conclude that MYB6 and LDOX1 gene expression increases upon cold stress, which induces accumulation of major anthocyanins in purple black carrot and suggests a possible cross-link between cold stress and anthocyanin biosynthesis in purple black carrot.
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Affiliation(s)
- Niyaz A Dar
- Transcriptomics Laboratory (K-Lab), Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Mudasir A Mir
- Transcriptomics Laboratory (K-Lab), Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Javid I Mir
- Central Institute of Temperate Horticulture, Rangreth, Srinagar, Jammu and Kashmir, 191132, India
| | - Sheikh Mansoor
- Transcriptomics Laboratory (K-Lab), Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Wasia Showkat
- Transcriptomics Laboratory (K-Lab), Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Tasmeen J Parihar
- Transcriptomics Laboratory (K-Lab), Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Syed Anam Ul Haq
- Transcriptomics Laboratory (K-Lab), Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Shabir H Wani
- Mountain Research Centre for Field Crops, SKUAST-Kashmir, Khudwani, Jammu and Kashmir, 192101, India
| | - Gul Zaffar
- Division of Plant Breeding & Genetics, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Khalid Z Masoodi
- Transcriptomics Laboratory (K-Lab), Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir, 190025, India.
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