Haploid identification in maize
Doubled haploid (DH) line production through in vivo maternal haploid induction is widely adopted in maize breeding programs. The established protocol for DH production includes four steps namely in vivo maternal haploid induction, haploid identification, genome doubling of haploid, and self-fertili...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1378421/full |
| _version_ | 1797201043653656576 |
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| author | Abil Dermail Mariah Mitchell Tyler Foster Mercy Fakude Yu-Ru Chen Khundej Suriharn Khundej Suriharn Ursula Karolina Frei Thomas Lübberstedt |
| author_facet | Abil Dermail Mariah Mitchell Tyler Foster Mercy Fakude Yu-Ru Chen Khundej Suriharn Khundej Suriharn Ursula Karolina Frei Thomas Lübberstedt |
| author_sort | Abil Dermail |
| collection | DOAJ |
| description | Doubled haploid (DH) line production through in vivo maternal haploid induction is widely adopted in maize breeding programs. The established protocol for DH production includes four steps namely in vivo maternal haploid induction, haploid identification, genome doubling of haploid, and self-fertilization of doubled haploids. Since modern haploid inducers still produce relatively small portion of haploids among undesirable hybrid kernels, haploid identification is typically laborious, costly, and time-consuming, making this step the second foremost in the DH technique. This manuscript reviews numerous methods for haploid identification from different approaches including the innate differences in haploids and diploids, biomarkers integrated in haploid inducers, and automated seed sorting. The phenotypic differentiation, genetic basis, advantages, and limitations of each biomarker system are highlighted. Several approaches of automated seed sorting from different research groups are also discussed regarding the platform or instrument used, sorting time, accuracy, advantages, limitations, and challenges before they go through commercialization. The past haploid selection was focusing on finding the distinguishable marker systems with the key to effectiveness. The current haploid selection is adopting multiple reliable biomarker systems with the key to efficiency while seeking the possibility for automation. Fully automated high-throughput haploid sorting would be promising in near future with the key to robustness with retaining the feasible level of accuracy. The system that can meet between three major constraints (time, workforce, and budget) and the sorting scale would be the best option. |
| first_indexed | 2024-04-24T07:41:16Z |
| format | Article |
| id | doaj.art-5e38ba23198744459d3735cf8d8bf4b0 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-24T07:41:16Z |
| publishDate | 2024-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-5e38ba23198744459d3735cf8d8bf4b02024-04-19T14:42:09ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2024-04-011510.3389/fpls.2024.13784211378421Haploid identification in maizeAbil Dermail0Mariah Mitchell1Tyler Foster2Mercy Fakude3Yu-Ru Chen4Khundej Suriharn5Khundej Suriharn6Ursula Karolina Frei7Thomas Lübberstedt8Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen, ThailandDepartment of Agronomy, Iowa State University, Ames, IA, United StatesDepartment of Agronomy, Iowa State University, Ames, IA, United StatesDepartment of Agronomy, Iowa State University, Ames, IA, United StatesDepartment of Agronomy, Iowa State University, Ames, IA, United StatesDepartment of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen, ThailandPlant Breeding Research Center for Sustainable Agriculture, Faculty of Agriculture, Khon Kaen University, Khon Kaen, ThailandDepartment of Agronomy, Iowa State University, Ames, IA, United StatesDepartment of Agronomy, Iowa State University, Ames, IA, United StatesDoubled haploid (DH) line production through in vivo maternal haploid induction is widely adopted in maize breeding programs. The established protocol for DH production includes four steps namely in vivo maternal haploid induction, haploid identification, genome doubling of haploid, and self-fertilization of doubled haploids. Since modern haploid inducers still produce relatively small portion of haploids among undesirable hybrid kernels, haploid identification is typically laborious, costly, and time-consuming, making this step the second foremost in the DH technique. This manuscript reviews numerous methods for haploid identification from different approaches including the innate differences in haploids and diploids, biomarkers integrated in haploid inducers, and automated seed sorting. The phenotypic differentiation, genetic basis, advantages, and limitations of each biomarker system are highlighted. Several approaches of automated seed sorting from different research groups are also discussed regarding the platform or instrument used, sorting time, accuracy, advantages, limitations, and challenges before they go through commercialization. The past haploid selection was focusing on finding the distinguishable marker systems with the key to effectiveness. The current haploid selection is adopting multiple reliable biomarker systems with the key to efficiency while seeking the possibility for automation. Fully automated high-throughput haploid sorting would be promising in near future with the key to robustness with retaining the feasible level of accuracy. The system that can meet between three major constraints (time, workforce, and budget) and the sorting scale would be the best option.https://www.frontiersin.org/articles/10.3389/fpls.2024.1378421/fullmaize hybrid breedingdoubled haploidhaploid selectionhaploid verificationautomated sorting |
| spellingShingle | Abil Dermail Mariah Mitchell Tyler Foster Mercy Fakude Yu-Ru Chen Khundej Suriharn Khundej Suriharn Ursula Karolina Frei Thomas Lübberstedt Haploid identification in maize Frontiers in Plant Science maize hybrid breeding doubled haploid haploid selection haploid verification automated sorting |
| title | Haploid identification in maize |
| title_full | Haploid identification in maize |
| title_fullStr | Haploid identification in maize |
| title_full_unstemmed | Haploid identification in maize |
| title_short | Haploid identification in maize |
| title_sort | haploid identification in maize |
| topic | maize hybrid breeding doubled haploid haploid selection haploid verification automated sorting |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2024.1378421/full |
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