| Literature DB >> 17335560 |
Piotr T Bednarek1, Renata Orłowska, Robert M D Koebner, Janusz Zimny.
Abstract
BACKGROUND: When plant tissue is passaged through in vitro culture, many regenerated plants appear to be no longer clonal copies of their donor genotype. Among the factors that affect this so-called tissue culture induced variation are explant genotype, explant tissue origin, medium composition, and the length of time in culture. Variation is understood to be generated via a combination of genetic and/or epigenetic changes. A lack of any phenotypic variation between regenerants does not necessarily imply a concomitant lack of genetic (or epigenetic) change, and it is therefore of interest to assay the outcomes of tissue culture at the genotypic level.Entities:
Mesh:
Year: 2007 PMID: 17335560 PMCID: PMC1819380 DOI: 10.1186/1471-2229-7-10
Source DB: PubMed Journal: BMC Plant Biol ISSN: 1471-2229 Impact factor: 4.215
Source of regenerant lines by donor.
| 4DH | 6 | 6 | 12 |
| 5DH | 10 | 12 | 22 |
| 8DH | 7 | 12 | 19 |
| 9DH | 5 | 5 | 10 |
| 16DH | 9 | 6 | 15 |
| total | 37 | 41 | 78 |
Absolute frequencies of recovery of conserved and variant fragments among the regenerants from tissue culture of immature embryo (E) and anther (A) explants.
| 4DH | 5DH | 8DH | 9DH | 16DH | |||||||
| AFLP pattern | E | A | E | A | E | A | E | A | E | A | A+E (%) |
| Not affected by tissue culture | |||||||||||
| 1111 | 1761 | 1746 | 2966 | 3234 | 1806 | 3077 | 1570 | 1529 | 2952 | 1966 | 78.3 |
| 1100 | 274 | 277 | 193 | 230 | 153 | 261 | 257 | 254 | 455 | 306 | 9.2 |
| 0011 | 102 | 103 | 190 | 222 | 126 | 214 | 113 | 112 | 197 | 127 | 5.2 |
| Affected by tissue culture | |||||||||||
| 0001 | 4 | 3 | 5 | 30 | 4 | 15 | 0 | 6 | 0 | 0 | 0.2 |
| 0111 | 102 | 101 | 30 | 42 | 35 | 62 | 52 | 53 | 19 | 17 | 1.8 |
| 0101 | 8 | 8 | 0 | 35 | 2 | 6 | 0 | 10 | 0 | 0 | 0.2 |
| 0100 | 25 | 31 | 26 | 70 | 9 | 18 | 1 | 20 | 0 | 1 | 0.7 |
| 1011 | 57 | 62 | 48 | 62 | 34 | 66 | 29 | 35 | 44 | 26 | 1.6 |
| 1010 | 12 | 12 | 0 | 3 | 21 | 36 | 5 | 4 | 0 | 0 | 0.3 |
| 1001 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0.0 |
| 1000 | 90 | 87 | 31 | 42 | 47 | 89 | 15 | 13 | 28 | 14 | 1.6 |
| 1110 | 11 | 16 | 15 | 10 | 14 | 22 | 0 | 1 | 1 | 5 | 0.3 |
| 1101 | 24 | 24 | 6 | 4 | 10 | 10 | 18 | 22 | 8 | 9 | 0.5 |
| 0010 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0110 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Analysis of variance with respect to frequency of tissue-culture induced (epi)mutations for explant and donor.
| df | SS | MS | F-ratio | p | |
| Explant | 1 | 0.064 | 0.064 | 1.32 | 0.26 ns |
| Donor | 4 | 3.835 | 0.959 | 19.95 | < .0001 |
| Explant × Donor | 4 | 0.042 | 0.010 | 0.22 | 0.93 ns |
| Variation class | 3 | 0.068 | 0.023 | 0.15 | 0.93 ns |
| donor | mean | variation class | mean | ||
| 4DH | 1.77a | demethylation | 1.33a | ||
| 8DH | 1.38b | de novo methylation | 1.27a | ||
| 9DH | 1.24b | sequence variation | 1.24a | ||
| 5DH | 1.09bc | complex variation | 1.22a | ||
| 16DH | 0.84c | ||||
Figure 1A schematic to interpret the outcomes on regenerant AFLP profiles of (epi)mutation events induced during tissue culture. The possible bases of AFLP profile changes induced during tissue culture are shown in terms of methylation of one or more sites and point mutation at the enzyme recognition site(s). All possible patterns were assigned a binary code. Top row: A single KpnI/Acc65I recognition site within the resolvable amplicon; lower two rows: a pair of KpnI/Acc65I sites within the resolvable amplicon. Grey circle – represents MseI site; pink circle – methylated site digested by KpnI but not Acc65I; green circle – non-methylated site digested by KpnI and Acc65I; red pentagon – former Acc65I/KpnI after mutation; red and black lines – donor and regenerant DNAs, respectively.
Non-randomly behaving (epi)mutations present in > 90% of regenerants but absent from the donor plant (or vice versa). A zero value indicates the absence of the particular event.
| 0001 | 0 | 0 | 0 | 0 | 0 |
| 0111 | 17 | 1 | 5 | 9 | 0 |
| 0101 | 1 | 0 | 0 | 0 | 0 |
| 0100 | 2 | 2 | 1 | 0 | 0 |
| 1011 | 8 | 4 | 3 | 5 | 4 |
| 1010 | 2 | 0 | 3 | 1 | 0 |
| 1001 | 0 | 0 | 0 | 0 | 0 |
| 1000 | 15 | 3 | 5 | 3 | 2 |
| 1110 | 1 | 3 | 0 | 0 | 0 |
| 1101 | 5 | 0 | 0 | 2 | 0 |
| 0010 | 0 | 0 | 0 | 0 | 0 |
| 0110 | 0 | 0 | 0 | 0 | 0 |
Adapters and metAFLP oligomer sequences.
| Acc65I adapter 1 | CTC GTA GCA TGC GTA CA |
| Acc65I adapter 2 | GTA CTG TAC GCA TGC TAC |
| KpnI adapter 1 | CTC GTA GCA TGC GTA CAG TAC |
| KpnI adapter 2 | ACT CGT ACG ACT GT |
| MseI adapter 1 | TAC TCA GGA CTC ATC |
| MseI adapter 2 | GAG TCC TGA GTA GCA G |
| Acc65I/KpnI pre-selective primer | GCA TGC GTA CAG TAC C |
| MseI pre-selective primer | GAT GAG TCC TGA GTA AC |
| CpG-GAC | CAT GCG TAC AGT ACC GAC |
| CpG-GCA | CAT GCG TAC AGT ACC GCA |
| CpG-GGC | CAT GCG TAC AGT ACC GGC |
| CpXpG-AGG | CAT GCG TAC AGT ACC AGG |
| CpXpG-AGA | CAT GCG TAC AGT ACC AGA |
| CpXpG-AGC | CAT GCG TAC AGT ACC AGC |
| CpXpG-TGC | CAT GCG TAC AGT ACC TGC |
| MCAA | GAT GAG TCC TGA GTA AC |
| MCAG | GAT GAG TCC TGA GTA AC |
| MCAC | GAT GAG TCC TGA GTA AC |
| MCGC | GAT GAG TCC TGA GTA AC |
| MCCA | GAT GAG TCC TGA GTA AC |
| MCCG | GAT GAG TCC TGA GTA AC |