1
|
Rangan P, Henry R, Wambugu P, Periyannan S. Editorial: Plant genetic and genomic resources for sustained crop improvement. Front Plant Sci 2023; 14:1266698. [PMID: 37636088 PMCID: PMC10450027 DOI: 10.3389/fpls.2023.1266698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 08/03/2023] [Indexed: 08/29/2023]
Affiliation(s)
- Parimalan Rangan
- Division of Genomic Resources, Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Peterson Wambugu
- Kenya Agricultural and Livestock Research Organization, Genetic Resources Research Institute, Nairobi, Kenya
| | - Sambasivam Periyannan
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
- School of Agriculture and Environmental Science & Centre for Crop Health, University of Southern Queensland, Toowoomba, QLD, Australia
| |
Collapse
|
2
|
Ndjiondjop MN, Semagn K, Zhang J, Gouda AC, Kpeki SB, Goungoulou A, Wambugu P, Dramé KN, Bimpong IK, Zhao D. Development of species diagnostic SNP markers for quality control genotyping in four rice ( Oryza L.) species. Mol Breed 2018; 38:131. [PMID: 30416368 PMCID: PMC6208651 DOI: 10.1007/s11032-018-0885-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 09/17/2018] [Indexed: 05/04/2023]
Abstract
Species misclassification (misidentification) and handling errors have been frequently reported in various plant species conserved at diverse gene banks, which could restrict use of germplasm for correct purpose. The objectives of the present study were to (i) determine the extent of genotyping error (reproducibility) on DArTseq-based single-nucleotide polymorphisms (SNPs); (ii) determine the proportion of misclassified accessions across 3134 samples representing three African rice species complex (Oryza glaberrima, O. barthii, and O. longistaminata) and an Asian rice (O. sativa), which are conserved at the AfricaRice gene bank; and (iii) develop species- and sub-species (ecotype)-specific diagnostic SNP markers for rapid and low-cost quality control (QC) analysis. Genotyping error estimated from 15 accessions, each replicated from 2 to 16 times, varied from 0.2 to 3.1%, with an overall average of 0.8%. Using a total of 3134 accessions genotyped with 31,739 SNPs, the proportion of misclassified samples was 3.1% (97 of the 3134 accessions). Excluding the 97 misclassified accessions, we identified a total of 332 diagnostic SNPs that clearly discriminated the three indigenous African species complex from Asian rice (156 SNPs), O. longistaminata accessions from both O. barthii and O. glaberrima (131 SNPs), and O. sativa spp. indica from O. sativa spp. japonica (45 SNPs). Using chromosomal position, minor allele frequency, and polymorphic information content as selection criteria, we recommended a subset of 24 to 36 of the 332 diagnostic SNPs for routine QC genotyping, which would be highly useful in determining the genetic identity of each species and correct human errors during routine gene bank operations.
Collapse
Affiliation(s)
- Marie Noelle Ndjiondjop
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouaké, 01 Côte d’Ivoire
| | - Kassa Semagn
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouaké, 01 Côte d’Ivoire
- Department of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture/Forestry Centre, Edmonton, Alberta T6G 2P5 Canada
| | - Jianwei Zhang
- Arizona Genomics Institute and The School of Plant Sciences, University of Arizona, Thomas W. Keating Bioresearch Bldg., 1657 E. Helen Street, Tucson, AZ 85721 USA
| | - Arnaud Comlan Gouda
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouaké, 01 Côte d’Ivoire
| | - Sèdjro Bienvenu Kpeki
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouaké, 01 Côte d’Ivoire
| | - Alphonse Goungoulou
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouaké, 01 Côte d’Ivoire
| | - Peterson Wambugu
- Kenya Agricultural and Livestock Research Organization (KALRO), Genetic Resources Research Institute, Nairobi, Kenya
| | | | - Isaac Kofi Bimpong
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouaké, 01 Côte d’Ivoire
| | - Dule Zhao
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouaké, 01 Côte d’Ivoire
| |
Collapse
|
3
|
Ndjiondjop MN, Semagn K, Sow M, Manneh B, Gouda AC, Kpeki SB, Pegalepo E, Wambugu P, Sié M, Warburton ML. Assessment of Genetic Variation and Population Structure of Diverse Rice Genotypes Adapted to Lowland and Upland Ecologies in Africa Using SNPs. Front Plant Sci 2018; 9:446. [PMID: 29686690 PMCID: PMC5900792 DOI: 10.3389/fpls.2018.00446] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 03/22/2018] [Indexed: 05/04/2023]
Abstract
Using interspecific crosses involving Oryza glaberrima Steud. as donor and O. sativa L. as recurrent parents, rice breeders at the Africa Rice Center developed several 'New Rice for Africa (NERICA)' improved varieties. A smaller number of interspecific and intraspecific varieties have also been released as 'Advanced Rice for Africa (ARICA)'. The objective of the present study was to investigate the genetic variation, relatedness, and population structure of 330 widely used rice genotypes in Africa using DArTseq-based single nucleotide polymorphisms (SNPs). A sample of 11 ARICAs, 85 NERICAs, 62 O. sativa spp. japonica, and 172 O. sativa spp. indica genotypes were genotyped with 27,560 SNPs using diversity array technology (DArT)-based sequencing (DArTseq) platform. Nearly 66% of the SNPs were polymorphic, of which 15,020 SNPs were mapped to the 12 rice chromosomes. Genetic distance between pairs of genotypes that belong to indica, japonica, ARICA, and NERICA varied from 0.016 to 0.623, from 0.020 to 0.692, from 0.075 to 0.763, and from 0.014 to 0.644, respectively. The proportion of pairs of genotypes with genetic distance > 0.400 was the largest within NERICAs (35.1% of the pairs) followed by ARICAs (18.2%), japonica (17.4%), and indica (5.6%). We found one pair of japonica, 11 pairs of indica, and 35 pairs of NERICA genotypes differing by <2% of the total scored alleles, which was due to 26 pairs of genotypes with identical pedigrees. Cluster analysis, principal component analysis, and the model-based population structure analysis all revealed two distinct groups corresponding to the lowland (primarily indica and lowland NERICAs) and upland (japonica and upland NERICAs) growing ecologies. Most of the interspecific lowland NERICAs formed a sub-group, likely caused by differences in the O. glaberrima genome as compared with the indica genotypes. Analysis of molecular variance revealed very great genetic differentiation (FST = 0.688) between the lowland and upland ecologies, and 31.2% of variation attributable to differences within cluster groups. About 8% (1,197 of 15,020) of the 15,020 SNPs were significantly (P < 0.05) different between the lowland and upland ecologies and formed contrasting haplotypes that could clearly discriminate lowland from upland genotypes. This is the first study using high density markers that characterized NERICA and ARICA varieties in comparison with indica and japonica varieties widely used in Africa, which could aid rice breeders on parent selection for developing new improved rice germplasm.
Collapse
Affiliation(s)
- Marie Noelle Ndjiondjop
- Africa Rice Center (AfricaRice), Bouaké, Côte d’Ivoire
- *Correspondence: Marie Noelle Ndjiondjop, Kassa Semagn,
| | - Kassa Semagn
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
- *Correspondence: Marie Noelle Ndjiondjop, Kassa Semagn,
| | | | | | | | | | | | - Peterson Wambugu
- Genetic Resources Research Institute, Kenya Agricultural & Livestock Research Organization, Nairobi, Kenya
| | | | - Marilyn L. Warburton
- Corn Host Plant Resistance Research Unit, United States Department of Agriculture-Agricultural Research Service, Starkville, MS, United States
| |
Collapse
|
4
|
Wambugu P, Ndjiondjop M, Furtado A, Henry R. Sequencing of bulks of segregants allows dissection of genetic control of amylose content in rice. Plant Biotechnol J 2018; 16:100-110. [PMID: 28499072 PMCID: PMC5785344 DOI: 10.1111/pbi.12752] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 04/25/2017] [Accepted: 05/01/2017] [Indexed: 05/03/2023]
Abstract
Amylose content (AC) is a key quality trait in rice. A cross between Oryza glaberrima (African rice) and Oryza sativa (Asian rice) segregating for AC was analysed by sequencing bulks of individuals with high and low AC. SNP associated with the granule bound starch synthase (GBSS1) locus on chromosome 6 were polymorphic between the bulks. In particular, a G/A SNP that would result in an Asp to Asn mutation was identified. This amino acid substitution may be responsible for differences in GBSS activity as it is adjacent to a disulphide linkage conserved in all grass GBSS proteins. Other polymorphisms in genomic regions closely surrounding this variation may be the result of linkage drag. In addition to the variant in the starch biosynthesis gene, SNP on chromosomes 1 and 11 linked to AC was also identified. SNP was found in the genes encoding the NAC and CCAAT-HAP5 transcription factors that have previously been linked to starch biosynthesis. This study has demonstrated that the approach of sequencing bulks was able to identify genes on different chromosomes associated with this complex trait.
Collapse
Affiliation(s)
- Peterson Wambugu
- Queensland Alliance for Agriculture and Food InnovationUniversity of QueenslandBrisbaneQldAustralia
- Present address:
Kenya Agricultural and Livestock Research Organization (KALRO)Genetic Resources Research InstituteNairobiKenya
| | | | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food InnovationUniversity of QueenslandBrisbaneQldAustralia
| | - Robert Henry
- Queensland Alliance for Agriculture and Food InnovationUniversity of QueenslandBrisbaneQldAustralia
| |
Collapse
|
5
|
Labeyrie V, Deu M, Barnaud A, Calatayud C, Buiron M, Wambugu P, Manel S, Glaszmann JC, Leclerc C. Influence of ethnolinguistic diversity on the sorghum genetic patterns in subsistence farming systems in eastern Kenya. PLoS One 2014; 9:e92178. [PMID: 24637745 PMCID: PMC3956919 DOI: 10.1371/journal.pone.0092178] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Accepted: 02/20/2014] [Indexed: 11/26/2022] Open
Abstract
Understanding the effects of actions undertaken by human societies on crop evolution processes is a major challenge for the conservation of genetic resources. This study investigated the mechanisms whereby social boundaries associated with patterns of ethnolinguistic diversity have influenced the on-farm distribution of sorghum diversity. Social boundaries limit the diffusion of planting material, practices and knowledge, thus shaping crop diversity in situ. To assess the effect of social boundaries, this study was conducted in the contact zone between the Chuka, Mbeere and Tharaka ethnolinguistic groups in eastern Kenya. Sorghum varieties were inventoried and samples collected in 130 households. In all, 297 individual plants derived from seeds collected under sixteen variety names were characterized using a set of 18 SSR molecular markers and 15 morphological descriptors. The genetic structure was investigated using both a Bayesian assignment method and distance-based clustering. Principal Coordinates Analysis was used to describe the structure of the morphological diversity of the panicles. The distribution of the varieties and the main genetic clusters across ethnolinguistic groups was described using a non-parametric MANOVA and pairwise Fisher tests. The spatial distribution of landrace names and the overall genetic spatial patterns were significantly correlated with ethnolinguistic partition. However, the genetic structure inferred from molecular makers did not discriminate the short-cycle landraces despite their morphological distinctness. The cases of two improved varieties highlighted possible fates of improved materials. The most recent one was often given the name of local landraces. The second one, that was introduced a dozen years ago, displays traces of admixture with local landraces with differential intensity among ethnic groups. The patterns of congruence or discordance between the nomenclature of farmers’ varieties and the structure of both genetic and morphological diversity highlight the effects of the social organization of communities on the diffusion of seed, practices, and variety nomenclature.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Stéphanie Manel
- UMR LPED, Université Aix-Marseille/IRD, Marseille, France
- UMR AMAP, CIRAD, Montpellier, France
| | | | | |
Collapse
|