1
|
Mallikarjuna KN, Tomar BS, Mangal M, Singh N, Singh D, Kumar S, Tomer A, Singh B, Jat GS. Genetic Diversity and Population Structure Analyses in Bitter Gourd ( Momordica charantia L.) Based on Agro-Morphological and Microsatellite Markers. PLANTS (BASEL, SWITZERLAND) 2023; 12:3512. [PMID: 37836252 PMCID: PMC10574847 DOI: 10.3390/plants12193512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/15/2023] [Accepted: 07/05/2023] [Indexed: 10/15/2023]
Abstract
Bitter gourd (Momordica charantia L.) is an important vine crop of the Cucurbitaceae family and is well known for its high nutritional and medicinal values. However, the genetic variation remains largely unknown. Herein, 96 diverse bitter gourd genotypes were undertaken for diversity analysis using 10 quantitative traits, and 82 simple sequence repeat (SSR) markers. Out of 82 SSRs, 33 were polymorphic and the mean polymorphism information content (PIC) value was 0.38. Marker, JY-003 revealed a maximum (0.81) PIC value and, the number of alleles per locus ranged from 2 to 7 (average 3.46). The value of gene diversity showed the presence of a significant level of polymorphism among these genotypes. The unweighted pair group method (UPGMA) cluster analysis grouped the genotypes into two major clusters of which Cluster I comprised mostly small and medium-fruited genotypes of both M. charantia var. charantia and M. charantia var. muricata, whereas Cluster II included mostly long and extra-long fruited genotypes. Furthermore, these genotypes were divided into six distinct groups based on population structure analysis. The diversity analysis based on 10 quantitative traits revealed that earliness and high-yielding ability were exhibited by the predominantly gynoecious line DBGS-21-06 followed by DBGS-48-00. The principal component analysis (PCA) revealed that the first two components exhibited more than 50% of the total genetic variation. The present study deciphered a higher magnitude of agro-morphological and genetic diversity in 96 bitter gourd genotypes. Therefore, trait-specific genotypes identified in this study could be utilized in breeding programmes directed towards the development of improved cultivars and hybrids of bitter gourd.
Collapse
Affiliation(s)
- K. N. Mallikarjuna
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India; (K.N.M.); (B.S.T.); (M.M.); (S.K.); (A.T.)
| | - Bhoopal Singh Tomar
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India; (K.N.M.); (B.S.T.); (M.M.); (S.K.); (A.T.)
| | - Manisha Mangal
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India; (K.N.M.); (B.S.T.); (M.M.); (S.K.); (A.T.)
| | - Naveen Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India;
| | - Deepak Singh
- ICAR-Indian Agricultural Statistical Research Institute, New Delhi 110 012, India;
| | - Sachin Kumar
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India; (K.N.M.); (B.S.T.); (M.M.); (S.K.); (A.T.)
| | - Avinash Tomer
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India; (K.N.M.); (B.S.T.); (M.M.); (S.K.); (A.T.)
| | - Balraj Singh
- Sri Karan Narendra Agriculture University, Jobner 303 328, Rajasthan, India;
| | - Gograj Singh Jat
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India; (K.N.M.); (B.S.T.); (M.M.); (S.K.); (A.T.)
| |
Collapse
|
2
|
Lavale SA, Mathew D, Pradeepkumar T, Joseph John K, Joseph J. Mapping the QTL and tagging yield traits in bitter gourd (Momordica charantia L.) using microsatellite markers. BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY 2022. [DOI: 10.1016/j.bcab.2022.102553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
3
|
Ajinath LS, Mathew D. Genome-wide mining of potentially-hypervariable microsatellites and validation of markers in Momordica charantia L. Genetica 2021; 150:77-85. [PMID: 34822037 DOI: 10.1007/s10709-021-00142-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 11/18/2021] [Indexed: 11/26/2022]
Abstract
Relatively large number of bitter melon microsatellite markers have been reported; however, only few resulted in successful PCR amplification and a small fraction shown polymorphisms. This limited chance of recovering polymorphic markers makes the primer screening a cost-demanding process. To test the hypothesis that microsatellites with longer motifs as well as shorter motifs repeated substantially shall have better prospects to be polymorphic, we performed a genome-wide microsatellite mining. We selected a sample of genome-wide microsatellites with prescribed motif lengths or satisfying a target repeat number, which were considered potentially-hyper variable, for primer designing and validation. Seventy five microsatellites satisfying these criteria were identified, of which 69 were validated through successful PCR amplification. Among them, 40 (53.33% of the markers identified) were polymorphic. This result showed a significantly higher success compared to our initial results of 51 (20.64%) polymorphic markers out of the 188 amplified when 247 previously reported markers were screened. The screening of two cultivars revealed that markers were efficient to identify up to three alleles. The characterization of these 69 new markers with 247 markers previously reported showed that di-nucleotide motifs were most abundant, followed by tri- and tetra-nucleotide motifs. TC motif markers were most polymorphic (12.08%) followed by AG and CT motifs (both 9.89%). Similarly, AGA (6.59%) and TATT (3.29%) were most polymorphic among the tri- and tetra-nucleotide motifs. These 69 hypervariable microsatellite markers along with 188 markers initially validated in this study shall be useful for phylogenetic analyses, studies of linkage, QTL, and association mapping in bitter melon.
Collapse
Affiliation(s)
- Lavale Shivaji Ajinath
- Centre for Plant Biotechnology and Molecular Biology, Kerala Agricultural University, 680 656, Thrissur, Kerala, India
| | - Deepu Mathew
- Centre for Plant Biotechnology and Molecular Biology, Kerala Agricultural University, 680 656, Thrissur, Kerala, India.
| |
Collapse
|
4
|
Analysis of Genetic Diversity and Population Structure in Bitter Gourd ( Momordica charantia L.) Using Morphological and SSR Markers. PLANTS 2021; 10:plants10091860. [PMID: 34579393 PMCID: PMC8466607 DOI: 10.3390/plants10091860] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/02/2021] [Accepted: 09/04/2021] [Indexed: 11/25/2022]
Abstract
The present investigation was carried out using 51 diverse bitter gourd accessions as material for studying genetic diversity and relatedness using morphological and SSR markers. A wide variation was observed for morphological traits like the number of days to the first female flower anthesis (37.33–60.67), the number of days to the first fruit harvest (47.67–72.00), the number of fruits/plant (12.00–46.67), fruit length (5.00–22.23 cm), fruit diameter (1.05–6.38 cm), average fruit weight (20.71–77.67 g) and yield per plant (513.3–1976 g). Cluster analysis for 10 quantitative traits grouped the 51 accessions into 6 clusters. Out of 61 SSR primers screened, 30 were polymorphic and highly informative as a means to differentiate these accessions. Based on genotyping, a high level of genetic diversity was observed, with a total of 99 alleles. The polymorphic information content (PIC) values ranged from 0.038 for marker BG_SSR-8 to 0.721 for S-24, with an average of 0.429. The numbers of alleles ranged from 2 to 5, with an average of 3.3 alleles per locus. Gene diversity ranged from 0.04 for BG_SSR-8 to 0.76 for S-24, showing a wide variation among 51 accessions. The UPGMA cluster analysis grouped these accessions into 3 major clusters. Cluster I comprised 4 small, fruited accessions that are commercially cultivated in central and eastern India. Cluster II comprised 35 medium- to long-sized fruited accessions, which made up an abundant and diverse group. Cluster III comprised 11 long and extra-long fruited accessions. The polymorphic SSR markers of the study will be highly useful in genetic fingerprinting and mapping, and for association analysis in Momordica regarding several economic traits.
Collapse
|
5
|
Rao PG, Behera TK, Gaikwad AB, Munshi AD, Srivastava A, Boopalakrishnan G, Vinod. Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.). Sci Rep 2021; 11:4109. [PMID: 33603131 PMCID: PMC7893057 DOI: 10.1038/s41598-021-83548-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 01/19/2021] [Indexed: 11/17/2022] Open
Abstract
Bitter gourd (Momordica charantia L.) is an economically important vegetable crop grown in tropical parts of the world. In this study, a high-density linkage map of M. charantia was constructed through genotyping-by-sequencing (GBS) technology using F2:3 mapping population generated from the cross DBGy-201 × Pusa Do Mausami. About 2013 high-quality SNPs were assigned on a total of 20 linkage groups (LGs) spanning over 2329.2 CM with an average genetic distance of 1.16 CM. QTL analysis was performed for six major yield-contributing traits such as fruit length, fruit diameter, fruit weight, fruit flesh thickness, number of fruits per plant and yield per plant. These six quantitative traits were mapped with 19 QTLs (9 QTLs with LOD > 3) using composite interval mapping (CIM). Among 19 QTLs, 12 QTLs derived from 'Pusa Do Mausami' revealed a negative additive effect when its allele increased trait score whereas 7 QTLs derived from 'DBGy-201' revealed a positive additive effect when its allele trait score increased. The phenotypic variation (R2%) elucidated by these QTLs ranged from 0.09% (fruit flesh thickness) on LG 14 to 32.65% (fruit diameter) on LG 16 and a total of six major QTLs detected. Most QTLs detected in the present study were located relatively very close, maybe due to the high correlation among the traits. This information will serve as a significant basis for marker-assisted selection and molecular breeding in bitter gourd crop improvement.
Collapse
Affiliation(s)
- P Gangadhara Rao
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - T K Behera
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
| | - Ambika B Gaikwad
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110012, India
| | - A D Munshi
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Arpita Srivastava
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - G Boopalakrishnan
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Vinod
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| |
Collapse
|
6
|
Long-read bitter gourd ( Momordica charantia) genome and the genomic architecture of nonclassic domestication. Proc Natl Acad Sci U S A 2020; 117:14543-14551. [PMID: 32461376 DOI: 10.1073/pnas.1921016117] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The genetic architecture of quantitative traits is determined by both Mendelian and polygenic factors, yet classic examples of plant domestication focused on selective sweep of newly mutated Mendelian genes. Here we report the chromosome-level genome assembly and the genomic investigation of a nonclassic domestication example, bitter gourd (Momordica charantia), an important Asian vegetable and medicinal plant of the family Cucurbitaceae. Population resequencing revealed the divergence between wild and South Asian cultivars about 6,000 y ago, followed by the separation of the Southeast Asian cultivars about 800 y ago, with the latter exhibiting more extreme trait divergence from wild progenitors and stronger signs of selection on fruit traits. Unlike some crops where the largest phenotypic changes and traces of selection happened between wild and cultivar groups, in bitter gourd large differences exist between two regional cultivar groups, likely reflecting the distinct consumer preferences in different countries. Despite breeding efforts toward increasing female flower proportion, a gynoecy locus exhibits complex patterns of balanced polymorphism among haplogroups, with potential signs of selective sweep within haplogroups likely reflecting artificial selection and introgression from cultivars back to wild accessions. Our study highlights the importance to investigate such nonclassic example of domestication showing signs of balancing selection and polygenic trait architecture in addition to classic selective sweep in Mendelian factors.
Collapse
|
7
|
Gangadhara Rao P, Behera TK, Gaikwad AB, Munshi AD, Jat GS, Boopalakrishnan G. Mapping and QTL Analysis of Gynoecy and Earliness in Bitter Gourd ( Momordica charantia L.) Using Genotyping-by-Sequencing (GBS) Technology. FRONTIERS IN PLANT SCIENCE 2018; 9:1555. [PMID: 30429861 PMCID: PMC6220052 DOI: 10.3389/fpls.2018.01555] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 10/04/2018] [Indexed: 05/05/2023]
Abstract
A high-density, high-resolution genetic map was constructed for bitter gourd (Momordica charantia L.). A total of 2013 high quality SNP markers binned to 20 linkage groups (LG) spanning a cumulative distance of 2329.2 cM were developed. Each LG ranging from 185.2 cM (LG-12) to 46.2 cM (LG-17) and average LG span of 116.46 cM. The number of SNP markers mapped in each LG varied from 23 markers in LG-20 to 146 markers in LG-1 with an average of 100.65 SNPs per LG. The average distance between markers was 1.16 cM across 20 LGs and average distance between the markers ranged from 0.70 (LG-4) to 2.92 (LG-20). A total of 22 QTLs for four traits (gynoecy, sex ratio, node and days at first female flower appearance) were identified and mapped on 20 LGs. The gynoecious (gy-1) locus is flanked by markers TP_54865 and TP_54890 on LG 12 at a distance of 3.04 cM to TP_54890 and the major QTLs identified for the earliness traits will be extremely useful in marker development and MAS for rapid development of various gynoecious lines with different genetic background of best combiner for development of early and high yielding hybrids in bitter gourd.
Collapse
Affiliation(s)
- P. Gangadhara Rao
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Tusar Kanti Behera
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India
- *Correspondence: Tusar Kanti Behera, ;
| | | | - Anilabh Das Munshi
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Gograj Singh Jat
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - G. Boopalakrishnan
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India
| |
Collapse
|
8
|
Cui J, Cheng J, Nong D, Peng J, Hu Y, He W, Zhou Q, Dhillon NPS, Hu K. Genome-Wide Analysis of Simple Sequence Repeats in Bitter Gourd ( Momordica charantia). FRONTIERS IN PLANT SCIENCE 2017; 8:1103. [PMID: 28690629 PMCID: PMC5479929 DOI: 10.3389/fpls.2017.01103] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 06/07/2017] [Indexed: 05/21/2023]
Abstract
Bitter gourd (Momordica charantia) is widely cultivated as a vegetable and medicinal herb in many Asian and African countries. After the sequencing of the cucumber (Cucumis sativus), watermelon (Citrullus lanatus), and melon (Cucumis melo) genomes, bitter gourd became the fourth cucurbit species whose whole genome was sequenced. However, a comprehensive analysis of simple sequence repeats (SSRs) in bitter gourd, including a comparison with the three aforementioned cucurbit species has not yet been published. Here, we identified a total of 188,091 and 167,160 SSR motifs in the genomes of the bitter gourd lines 'Dali-11' and 'OHB3-1,' respectively. Subsequently, the SSR content, motif lengths, and classified motif types were characterized for the bitter gourd genomes and compared among all the cucurbit genomes. Lastly, a large set of 138,727 unique in silico SSR primer pairs were designed for bitter gourd. Among these, 71 primers were selected, all of which successfully amplified SSRs from the two bitter gourd lines 'Dali-11' and 'K44'. To further examine the utilization of unique SSR primers, 21 SSR markers were used to genotype a collection of 211 bitter gourd lines from all over the world. A model-based clustering method and phylogenetic analysis indicated a clear separation among the geographic groups. The genomic SSR markers developed in this study have considerable potential value in advancing bitter gourd research.
Collapse
Affiliation(s)
- Junjie Cui
- College of Horticulture, South China Agricultural UniversityGuangzhou, China
| | - Jiaowen Cheng
- College of Horticulture, South China Agricultural UniversityGuangzhou, China
| | - Dingguo Nong
- College of Agriculture, Guangxi UniversityNanning, China
| | - Jiazhu Peng
- College of Horticulture, South China Agricultural UniversityGuangzhou, China
| | - Yafei Hu
- BGI Genomics, BGI-ShenzhenShenzhen, China
| | - Weiming He
- BGI Genomics, BGI-ShenzhenShenzhen, China
| | - Qianjun Zhou
- General Station of the Administration of Seeds Guangdong ProvinceGuangzhou, China
| | - Narinder P. S. Dhillon
- AVRDC – The World Vegetable Center, East and Southeast Asia, Research and Training StationNakhon Pathom, Thailand
| | - Kailin Hu
- College of Horticulture, South China Agricultural UniversityGuangzhou, China
- *Correspondence: Kailin Hu,
| |
Collapse
|