Genetic diversity and population structure of Uganda cassava germplasm.

Genetic variation Hierarchical clustering Polymorphic information content Single nucleotide polymorphism

Journal

Journal of applied genetics
ISSN: 2190-3883
Titre abrégé: J Appl Genet
Pays: England
ID NLM: 9514582

Informations de publication

Date de publication:
16 Jul 2024
Historique:
received: 08 02 2024
accepted: 07 07 2024
revised: 12 06 2024
medline: 16 7 2024
pubmed: 16 7 2024
entrez: 16 7 2024
Statut: aheadofprint

Résumé

Cassava (Manihot esculenta Crantz) holds significant economic importance globally. Evaluating a diverse range of germplasm based on molecular characteristics not only enhances its preservation but also supports its utilization in breeding programs. In this study, we assessed genetic diversity and population structure among 155 cassava genotypes from Uganda using 5247 single nucleotide polymorphism (SNP) markers. Genotyping by sequencing (GBS) was employed for SNP discovery and to evaluate genetic diversity and population structure using the ADMIXTURE software. The cassava accessions comprised two populations: 49 accessions from Ugandan lines and 106 accessions resulting from crosses between South American and Ugandan lines. The average call rate of 96% was utilized to assess marker polymorphism. Polymorphic information content values of the markers ranged from 0.1 to 0.5 with an average of 0.4 which was moderately high. The principal component analysis (PCA) showed that the first two components captured ~ 24.2% of the genetic variation. The average genetic diversity was 0.3. The analysis of molecular variance (AMOVA) indicated that 66.02% and 33.98% of the total genetic variation occurred within accessions and between sub-populations, respectively. Five sub-populations were identified based on ADMIXTURE structure analysis (K = 5). Neighbor-joining tree and hierarchical clustering tree revealed the presence of three different groups which were primarily based on the source of the genotypes. The results suggested that there was considerable genetic variation among the cassava genotypes which is useful in cassava improvement and conservation efforts.

Identifiants

pubmed: 39012576
doi: 10.1007/s13353-024-00892-x
pii: 10.1007/s13353-024-00892-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Cornell University
ID : 84941-11056

Informations de copyright

© 2024. The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.

Références

Adjebeng-Danquah J, Manu-Aduening J, Asante IK, Agyare RY, Gracen V, Offei SK (2020) Genetic diversity and population structure analysis of Ghanaian and exotic cassava accessions using simple sequence repeat (SSR) markers. Heliyon 6(1):e03154. https://doi.org/10.1016/j.heliyon.2019.e03154
doi: 10.1016/j.heliyon.2019.e03154 pubmed: 32042951 pmcid: 7002781
Adu BG, Akromah R, Amoah S, Nyadanu D, Yeboah A, Aboagye LM, Amoah RA, Owusu EG (2021) High-density DArT-based SilicoDArT and SNP markers for genetic diversity and population structure studies in cassava (Manihot esculenta Crantz). PLoS ONE 16(7):1–19. https://doi.org/10.1371/journal.pone.0255290
doi: 10.1371/journal.pone.0255290
Agre AP, Gueye B, Adjatin A, Dansi M, Bathacharjee R, Rabbi IY, Gedil M (2016) Folk taxonomy and traditional management of cassava (Manihot esculenta Crantz) diversity in southern and central Benin. Int J Innov Sci Res 20(2):500–515
Aimone CD, Lavington E, Hoyer JS, Deppong DO, Mickelson-Young L, Jacobson A, Kennedy GG, Carbone I, Hanley-Bowdoin L, Duffy S (2021) Population diversity of cassava mosaic begomoviruses increases over the course of serial vegetative propagation. J Gen Virol 102(7) https://doi.org/10.1099/JGV.0.001622
Alexander DH, Novembre J, Lange K (2009) Fast model-based estimation of ancestry in unrelated individuals. Genome Res 19(9):1655–1664. https://doi.org/10.1101/gr.094052.109
doi: 10.1101/gr.094052.109 pubmed: 19648217 pmcid: 2752134
Bayata A (2019) Review on nutritional value of cassava for use as a staple food. Sci J Anal Chem 7(4):83. https://doi.org/10.11648/j.sjac.20190704.12
doi: 10.11648/j.sjac.20190704.12
Bradbury PJ, Zhang Z, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES (2007) TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics 23(19):2633–2635. https://doi.org/10.1093/bioinformatics/btm308
doi: 10.1093/bioinformatics/btm308 pubmed: 17586829
Carvajal-Yepes M, Ospina JA, Aranzales E, Velez-Tobon M, Correa Abondano M, Manrique-Carpintero NC, Wenzl P (2023) Identifying genetically redundant accessions in the world’s largest cassava collection. Front Plant Sci 14 https://doi.org/10.3389/fpls.2023.1338377
Ceballos H, Rojanaridpiched C, Phumichai C, Becerra LA, Kittipadakul P, Iglesias C, Gracen VE (2020) Excellence in cassava breeding: perspectives for the future. Crop Breed Genet Genom 2(2):e200008. https://doi.org/10.20900/cbgg20200008
doi: 10.20900/cbgg20200008
Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, Handsaker RE, Lunter G, Marth GT, Sherry ST, McVean G, Durbin R (2011) The variant call format and VCFtools. Bioinformatics 27(15):2156–2158. https://doi.org/10.1093/bioinformatics/btr330
doi: 10.1093/bioinformatics/btr330 pubmed: 21653522 pmcid: 3137218
de Oliveira EJ, Ferreira CF, da Silva Santos V, de Jesus ON, Oliveira GAF, da Silva MS (2014) Potential of SNP markers for the characterization of Brazilian cassava germplasm. Theor Appl Genet 127(6):1423–1440. https://doi.org/10.1007/s00122-014-2309-8
doi: 10.1007/s00122-014-2309-8 pubmed: 24737135
de Albuquerque HYG, Carmo, CD, de Brito AC OliveiraEJ (2018) Genetic diversity of Manihot esculenta Crantz germplasm based on single-nucleotide polymorphism markers. Ann Appl Biol 173(3):271–284. https://doi.org/10.1111/aab.12460
Ferguson ME, Shah T, Kulakow P, Ceballos H (2019a) A global overview of cassava genetic diversity. PLoS ONE 14(11):1–16. https://doi.org/10.1371/journal.pone.0224763
doi: 10.1371/journal.pone.0224763
Ferguson ME, Shah T, Kulakow P, Ceballos H (2019b) A global overview of cassava genetic diversity. PLoS ONE 14(11):e0224763
doi: 10.1371/journal.pone.0224763 pubmed: 31693686 pmcid: 6834265
Goodstein DM, Shu S, Howson R, Neupane R, Hayes RD, Fazo J, Mitros T, Dirks W, Hellsten U, Putnam N, Rokhsar DS (2012) Phytozome: a comparative platform for green plant genomics. Nucleic Acids Res 40(1):D1178–D1186. https://doi.org/10.1093/nar/gkr944
doi: 10.1093/nar/gkr944 pubmed: 22110026
Goudet J (2005) hierfstat, a package for r to compute and test hierarchical F-statistics. Mol Ecol Notes 5(1):184–186. https://doi.org/10.1111/j.1471-8286.2004.00828.x
doi: 10.1111/j.1471-8286.2004.00828.x
Gruber B, Unmack PJ, Berry OF, Georges A (2018) dartr: An r package to facilitate analysis of SNP data generated from reduced representation genome sequencing. Mol Ecol Resour 18(3):691–699. https://doi.org/10.1111/1755-0998.12745
doi: 10.1111/1755-0998.12745 pubmed: 29266847
Huang X, Han B (2014) Natural variations and genome-wide association studies in crop plants. Annu Rev Plant Biol 65(1):531–551. https://doi.org/10.1146/annurev-arplant-050213-035715 Annual Reviews Inc
Jombart T (2008) adegenet: a R package for the multivariate analysis of genetic markers. Bioinformatics 24(11):1403–1405. https://doi.org/10.1093/bioinformatics/btn129
doi: 10.1093/bioinformatics/btn129 pubmed: 18397895
Kamvar ZN, Tabima JF, Grünwald NJ (2014) Poppr: an R package for genetic analysis of populations with clonal, partially clonal, and/or sexual reproduction. PeerJ 2:e281. https://doi.org/10.7717/peerj.281
doi: 10.7717/peerj.281 pubmed: 24688859 pmcid: 3961149
Letunic I, Bork P (2016) Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res 44(W1):W242–W245. https://doi.org/10.1093/nar/gkw290
doi: 10.1093/nar/gkw290 pubmed: 27095192 pmcid: 4987883
Luo Z, Brock J, Dyer JM, Kutchan T, Schachtman D, Augustin M, Ge Y, Fahlgren N, Abdel-Haleem H (2019) Genetic diversity and population structure of a Camelina sativa spring panel. Front Plant Sci 10(February):1–12. https://doi.org/10.3389/fpls.2019.00184
doi: 10.3389/fpls.2019.00184
Ngongo Y, Basuki T, Derosari B, Mau YS, Noerwijati K, Dasilva H, Sitorus A, Kotta NRE, Utomo WH, Wisnubroto EI (2022) The roles of cassava in marginal semi-arid farming in East Nusa Tenggara—Indonesia. Sustainability (switzerland) 14(9):1–22. https://doi.org/10.3390/su14095439
doi: 10.3390/su14095439
Ogbonna AC, Braatz de Andrade LR, Mueller LA, de Oliveira EJ, Bauchet GJ (2021) Comprehensive genotyping of a Brazilian cassava (Manihot esculenta Crantz) germplasm bank: insights into diversification and domestication. Theor Appl Genet 134(5):1343–1362. https://doi.org/10.1007/s00122-021-03775-5
doi: 10.1007/s00122-021-03775-5 pubmed: 33575821 pmcid: 8081687
Paradis E, Claude J, Strimmer K (2004) APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20(2):289–290. https://doi.org/10.1093/bioinformatics/btg412
doi: 10.1093/bioinformatics/btg412 pubmed: 14734327
Pierre N, Wamalwa LN, Muiru WM, Simon B, Kanju E, Ferguson ME, Ndavi MM, Tumwegamire S (2022) Genetic diversity of local and introduced cassava germplasm in Burundi using DArTseq molecular analyses. PLoS ONE 17(1):1–19. https://doi.org/10.1371/journal.pone.0256002
doi: 10.1371/journal.pone.0256002
Pour-Aboughadareh A, Poczai P, Etminan A, Jadidi O, Kianersi F, Shooshtari L (2022) An analysis of genetic variability and population structure in wheat germplasm using microsatellite and gene-based markers. Plants 11(9):1–15. https://doi.org/10.3390/plants11091205
doi: 10.3390/plants11091205
R Core Team (R Foundation for Statistical Computing) (2021) R: A Language and Environment for Statistical Computing.
Rabbi IY, Udoh LI, Wolfe M, Parkes EY, Gedil MA, Dixon A, Ramu P, Jannink J-L, Kulakow P (2017) Genome-wide association mapping of correlated traits in cassava: dry matter and total carotenoid content. The Plant Genome 10(3) https://doi.org/10.3835/plantgenome2016.09.0094
Sandra DJA, Ricardo FCM, da Carlos ASL, Cláudia FF, Vanderlei da SS, Pascoal AM (2019) Genetic structure of cassava populations (Manihot esculenta Crantz) from Angola assessed through (ISSR) markers. Afr J Biotech 18(7):144–154. https://doi.org/10.5897/ajb2018.16720
Sivan S, Arya K, Sheela MN, Revathi BS, Prakash Krishnan BS, Muthusamy K (2023) Genetic diversity analysis of Indian Cassava (Manihot esculenta Crantz) accessions using morphological and molecular markers. S Afr J Bot 161:347–357. https://doi.org/10.1016/J.SAJB.2023.08.027
doi: 10.1016/J.SAJB.2023.08.027
Soro M, Pita JS, Somé K, Otron DH, Yéo E, Mutuku JM, Néya JB, Tiendrébéogo F, Koné D (2023) Genomic analysis and identification of potential duplicate accessions in Burkina Faso cassava germplasm based on single nucleotide polymorphism. Front Sustain Food Syst 7(June):1–15. https://doi.org/10.3389/fsufs.2023.1202015
doi: 10.3389/fsufs.2023.1202015
Uba CU, Oselebe HO, Tesfaye AA, Abtew WG (2021) Genetic diversity and population structure analysis of bambara groundnut (Vigna subterrenea L) landraces using DArT SNP markers. PLoS ONE 16(7):e0253600. https://doi.org/10.1371/journal.pone.0253600
doi: 10.1371/journal.pone.0253600 pubmed: 34197522 pmcid: 8248626
Wosula EN, Chen W, Fei Z, Legg JP (2017) GBE unravelling the genetic diversity among Cassava Bemisia tabaci whiteflies using NextRAD Sequencing. Genome Biol Evol 9(11):2958–2973. https://doi.org/10.1093/gbe/evx219
doi: 10.1093/gbe/evx219 pubmed: 29096025 pmcid: 5714214

Auteurs

Karoline Leonard Sichalwe (KL)

Makerere University Regional Centre for Crop Improvement (MaRCCI), College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda. carosicha@gmail.com.
Tanzania Agricultural Research Institute, Kibaha, Tanzania. carosicha@gmail.com.

Ismail Kayondo (I)

International Institute of Tropical Agriculture, Plot 25 Mikocheni Industrial Area, Mwenge Coca-Cola Road, Mikocheni Dar Es Salaam, Tanzania.

Richard Edema (R)

Makerere University Regional Centre for Crop Improvement (MaRCCI), College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.

Isaac O Dramadri (IO)

Makerere University Regional Centre for Crop Improvement (MaRCCI), College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.

Emmanuel AAdjei (E)

CSIR- Savannah Agriculture Research Institute, Tamale, Ghana.

Heneriko Kulembeka (H)

Tanzania Agricultural Research Institute, Mwanza, Tanzania.

Wilson Kimani (W)

International Livestock Research Institute (ILRI), Nairobi, Kenya.

Doreen Mgonja (D)

Tanzania Agricultural Research Institute, Kibaha, Tanzania.

Patrick Rubahaiyo (P)

Makerere University Regional Centre for Crop Improvement (MaRCCI), College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.

Edward Kanju (E)

International Institute of Tropical Agriculture, Plot 25 Mikocheni Industrial Area, Mwenge Coca-Cola Road, Mikocheni Dar Es Salaam, Tanzania.

Classifications MeSH