GenoBaits Cassava35K: high-resolution multi-SNP arrays for genetic analysis and molecular breeding using targeted sequencing and liquid chip technology

Chaochao Li; Xiaoxue Ye; Zhongxin Jin; Kaisen Huo; Jiangxiang Ma; Weiwei Tie; Zehong Ding; Yongfeng Zhou; Wei Hu

doi:10.1093/hr/uhae305

Horticulture Research ›› 2025, Vol. 12 ›› Issue (2) :305 DOI: 10.1093/hr/uhae305

Letter to the Editor

GenoBaits Cassava35K: high-resolution multi-SNP arrays for genetic analysis and molecular breeding using targeted sequencing and liquid chip technology

Chaochao Li ¹^,²^,^‡
, Xiaoxue Ye ¹^,²^,^‡
, Zhongxin Jin ¹^,²
, Kaisen Huo ¹^,²
, Jiangxiang Ma ¹^,²
, Weiwei Tie ¹^,²
, Zehong Ding ¹^,²
, Yongfeng Zhou ³
, Wei Hu ¹^,²^,^*

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Chaochao Li, Xiaoxue Ye, Zhongxin Jin, Kaisen Huo, Jiangxiang Ma, Weiwei Tie, Zehong Ding, Yongfeng Zhou, Wei Hu. GenoBaits Cassava35K: high-resolution multi-SNP arrays for genetic analysis and molecular breeding using targeted sequencing and liquid chip technology. Horticulture Research, 2025, 12(2): 305 DOI:10.1093/hr/uhae305

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Acknowledgements

This work was supported by the Key R&D Program of Hainan Province (ZDYF2022XDNY259), National Natural Science Foundation of China (32360524), the Project of National Key Laboratory for Tropical Crop Breeding (No. NKLTCB202303, NKLTCB202308), Major Science and Technology Plan of Hainan Province (ZDKJ2021012), the Central Public-Interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences (1630052023004, 1630052024005, 1630052023016, 1630052022017), and Project of Sanya Yazhou Bay Science and Technology City (SCKJ-JYRC-2023-73).

Author contributions

W.H. and Y.Z. conceived and designed the project. C.L. completed a full evaluation of the GenoBaits Cassava 35 K. W.T., Z.D., and X.Y. collected the samples. Z.J., K.H., and J.M. performed traits investigation and analyses. W.H. and C.L. wrote the manuscript with contributions from all authors.

Data availability

The GenoBaits Cassava35K dataset and supplementary files have been uploaded to GitHub (https://github.com/Licc900/GenoBaits_Cassava35K).

Conflict of interest statement

None declared.

References

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[1]	Amelework AB, Bairu MW. Advances in genetic analysis and breeding of cassava (Manihot esculenta crantz): a review. Plan Theory. 2022;11:1617.

[2]	Cai Z, Li M, Zhang F. et al. Impact of lignin on the starch accumulation, composition, and pasting properties of cassava. LWT. 2023;184:115073.

[3]	Buddhakulsomsiri J, Parthanadee P, Pannakkong W. Prediction models of starch content in fresh cassava roots for a tapi-oca starch manufacturer in Thailand. Comput Electron Agric. 2018;154:296-303.

[4]	Bräutigam A, Gowik U. Photorespiration connects C₃ and C4 photosynthesis. JExp Bot. 2016;67:2953-62.

[5]	Muiruri SK, Ntui VO, Tripathi L. et al. Mechanisms and approaches towards enhanced drought tolerance in cassava (Manihot esculenta). Curr Plant Biol. 2021;28:100227.

[6]	Hu W, Ji C, Shi H. et al. Allele-defined genome reveals biallelic dif-ferentiation during cassava evolution. Mol Plant. 2021;14:851-4.

[7]	Hu W, Ji C, Liang Z. et al. Resequencing of 388 cassava accessions identifies valuable loci and selection for variation in heterozy-gosity. Genome Biol. 2021;22:316.

[8]	Ding Z, Fu L, Wang B. et al. Metabolic GWAS-based dissection of genetic basis underlying nutrient quality variation and domes-tication of cassava storage root. Genome Biol. 2023;24:289.

[9]	LaFramboise T. Single nucleotide polymorphism arrays: a decade of biological, computational and technological advances. Nucleic Acids Res. 2009;37:4181-93.

[10]	Guo Z, Yang Q, Huang F. et al. Development of high-resolution multiple-SNP arrays for genetic analyses and molecular breed-ing through genotyping by target sequencing and liquid chip. Plant Commun. 2021;2:100230.