Paper · 2024 · Current Plant Biology

Enhanced and predictive modelling of direct shoot regeneration of Evolvulus alsinoides (L.) using ANN machine learning model and genetic stability studies

Collince Omondi Awere; Kasinathan Rakkammal; Andaç Batur Çolak; et al.

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claims
10
verbatim quotes
9
citations
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research areas
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Open access · cc-by-nc-nd

Abstract

Several factors interact to regulate direct in vitro shoot regeneration. Optimization of de novo direct regeneration is a primary prerequisite for the success of genetic transformation experiments. However, achieving an optimized protocol is typically difficult due to the high cost and time consumption, as well as the complexity of this process. Hence, the application of computational techniques (machine learning (ML) algorithms) is essential for predicting de novo direct regeneration. This study examined the influence of various concentrations of optimal plant growth regulator (PGR) on the successful de novo in vitro regeneration of the shoot of Evolvulus alsinoides . The de novo direct regeneration of E. alsinoides was modelled using Multilayer Perceptron (MLP). Performance of the model was assessed using computational metrics (RMSE and R 2 ). The outcome demonstrated that the model algorithm had higher predictive accuracy. The mean square error (MSE) value was obtained as 5.18E-02, and the R 2 value was 0.99565. Moreover, the findings revealed a 90.83 % regeneration rate with 26.25 shoots per explant achieved from Murashige and Skoog (MS) medium supplemented with 2 μM Thidiazuron (TDZ) and Indole-3-acetic acid (IAA) (0.1 μM). Based on our results, the MLP was able to optimize the variables accurately. The results indicated good performance in modelling and optimization of in vitro de novo direct regeneration. The model may be used as a dependable and accurate predictive technique for ensuing investigations in in vitro plant genetic engineering. • In vitro regeneration of E. alsinoides plant was effectively developed. • MLP demonstrated best R 2 values and predicted shoot number, length and percentage regeneration. • The machine learning models prediction is in agreement with the experimental findings. • The ANN algorithms showed high prediction accuracy.

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The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 5

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The MLP model achieved a mean square error of 5.18E-02 in regeneration prediction.

Taxon
Evolvulus alsinoidesEvolvulus alsinoidest0
Outcome
mean square error (MSE)e0
Value
5.18E-02e0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Evolvulus alsinoides
Evolvulus alsinoides · TaxonJ.M.Garg · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The mean square error (MSE) value was obtained as 5.18E-02”

✓ located verbatim in the source · abstract, characters 940–998 · show in text ↑
t0

“Evolvulus alsinoides”

✓ located verbatim in the source · title, characters 66–86 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The MLP model achieved R² of 0.99565.

Taxon
Evolvulus alsinoidesEvolvulus alsinoidest0
Outcome
R 2 valuee0
Value
0.99565e0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Evolvulus alsinoides
Evolvulus alsinoides · TaxonJ.M.Garg · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the R 2 value was 0.99565”

✓ located verbatim in the source · abstract, characters 1004–1029 · show in text ↑
t0

“Evolvulus alsinoides”

✓ located verbatim in the source · title, characters 66–86 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

MS medium with TDZ and IAA achieved 90.83% regeneration.

Taxon
Evolvulus alsinoidesEvolvulus alsinoidest0
Treatment
Murashige and Skoog (MS) medium supplemented with 2 μM Thidiazuron (TDZ) and Indole-3-acetic acid (IAA) (0.1 μM)e0
Outcome
regeneration ratee0
Value
90.83 %e0

Not reportedComparatorDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Evolvulus alsinoides
Evolvulus alsinoides · TaxonJ.M.Garg · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“90.83 % regeneration rate with 26.25 shoots per explant achieved from Murashige and Skoog (MS) medium supplemented with 2 μM Thidiazuron (TDZ) and Indole-3-acetic acid (IAA) (0.1 μM)”

✓ located verbatim in the source · abstract, characters 1065–1247 · show in text ↑
t0

“Evolvulus alsinoides”

✓ located verbatim in the source · title, characters 66–86 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

The same medium produced 26.25 shoots per explant.

Taxon
Evolvulus alsinoidesEvolvulus alsinoidest0
Treatment
Murashige and Skoog (MS) medium supplemented with 2 μM Thidiazuron (TDZ) and Indole-3-acetic acid (IAA) (0.1 μM)e0
Outcome
shoots per explante0
Value
26.25 shoots per explante0

Not reportedComparatorDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Evolvulus alsinoides
Evolvulus alsinoides · TaxonJ.M.Garg · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“90.83 % regeneration rate with 26.25 shoots per explant achieved from Murashige and Skoog (MS) medium supplemented with 2 μM Thidiazuron (TDZ) and Indole-3-acetic acid (IAA) (0.1 μM)”

✓ located verbatim in the source · abstract, characters 1065–1247 · show in text ↑
t0

“Evolvulus alsinoides”

✓ located verbatim in the source · title, characters 66–86 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The MLP predicted shoot number, length, and regeneration percentage accurately.

Taxon
Evolvulus alsinoidesEvolvulus alsinoidest0
Outcome
shoot number, length and percentage regeneratione0

Not reportedComparatorDirectionValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Evolvulus alsinoides
Evolvulus alsinoides · TaxonJ.M.Garg · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“MLP demonstrated best R 2 values and predicted shoot number, length and percentage regeneration”

✓ located verbatim in the source · abstract, characters 1650–1745 · show in text ↑
t0

“Evolvulus alsinoides”

✓ located verbatim in the source · title, characters 66–86 · show in text ↑