Cargando…
Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping
Reproductive stage drought stress (RSDS) is a major challenge in rice production worldwide. Cultivar development with drought tolerance has been slow due to the lack of precise high throughput phenotyping tools to quantify drought stress-induced effects. Most of the available techniques are based on...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767905/ https://www.ncbi.nlm.nih.gov/pubmed/35069617 http://dx.doi.org/10.3389/fpls.2021.752730 |
_version_ | 1784634812338798592 |
---|---|
author | Dwivedi, Priyanka Ramawat, Naleeni Raju, Dhandapani Dhawan, Gaurav Gopala Krishnan, S. Chinnusamy, Viswanathan Bhowmick, Prolay Kumar Vinod, K. K. Pal, Madan Nagarajan, Mariappan Ellur, Ranjith Kumar Bollinedi, Haritha Singh, Ashok K. |
author_facet | Dwivedi, Priyanka Ramawat, Naleeni Raju, Dhandapani Dhawan, Gaurav Gopala Krishnan, S. Chinnusamy, Viswanathan Bhowmick, Prolay Kumar Vinod, K. K. Pal, Madan Nagarajan, Mariappan Ellur, Ranjith Kumar Bollinedi, Haritha Singh, Ashok K. |
author_sort | Dwivedi, Priyanka |
collection | PubMed |
description | Reproductive stage drought stress (RSDS) is a major challenge in rice production worldwide. Cultivar development with drought tolerance has been slow due to the lack of precise high throughput phenotyping tools to quantify drought stress-induced effects. Most of the available techniques are based on destructive sampling and do not assess the progress of the plant’s response to drought. In this study, we have used state-of-the-art image-based phenotyping in a phenomics platform that offers a controlled environment, non-invasive phenotyping, high accuracy, speed, and continuity. In rice, several quantitative trait loci (QTLs) which govern grain yield under drought determine RSDS tolerance. Among these, qDTY2.1 and qDTY3.1 were used for marker-assisted breeding. A set of 35 near-isogenic lines (NILs), introgressed with these QTLs in the popular variety, Pusa 44 were used to assess the efficiency of image-based phenotyping for RSDS tolerance. NILs offered the most reliable contrast since they differed from Pusa 44 only for the QTLs. Four traits, namely, the projected shoot area (PSA), water use (WU), transpiration rate (TR), and red-green-blue (RGB) and near-infrared (NIR) values were used. Differential temporal responses could be seen under drought, but not under unstressed conditions. NILs showed significant level of RSDS tolerance as compared to Pusa 44. Among the traits, PSA showed strong association with yield (80%) as well as with two drought tolerances indices, stress susceptibility index (SSI) and tolerance index (TOL), establishing its ability in identifying the best drought tolerant NILs. The results revealed that the introgression of QTLs helped minimize the mean WU per unit of biomass per day, suggesting the potential role of these QTLs in improving WU-efficiency (WUE). We identified 11 NILs based on phenomics traits as well as performance under imposed drought in the field. The study emphasizes the use of phenomics traits as selection criteria for RSDS tolerance at an early stage, and is the first report of using phenomics parameters in RSDS selection in rice. |
format | Online Article Text |
id | pubmed-8767905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87679052022-01-20 Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping Dwivedi, Priyanka Ramawat, Naleeni Raju, Dhandapani Dhawan, Gaurav Gopala Krishnan, S. Chinnusamy, Viswanathan Bhowmick, Prolay Kumar Vinod, K. K. Pal, Madan Nagarajan, Mariappan Ellur, Ranjith Kumar Bollinedi, Haritha Singh, Ashok K. Front Plant Sci Plant Science Reproductive stage drought stress (RSDS) is a major challenge in rice production worldwide. Cultivar development with drought tolerance has been slow due to the lack of precise high throughput phenotyping tools to quantify drought stress-induced effects. Most of the available techniques are based on destructive sampling and do not assess the progress of the plant’s response to drought. In this study, we have used state-of-the-art image-based phenotyping in a phenomics platform that offers a controlled environment, non-invasive phenotyping, high accuracy, speed, and continuity. In rice, several quantitative trait loci (QTLs) which govern grain yield under drought determine RSDS tolerance. Among these, qDTY2.1 and qDTY3.1 were used for marker-assisted breeding. A set of 35 near-isogenic lines (NILs), introgressed with these QTLs in the popular variety, Pusa 44 were used to assess the efficiency of image-based phenotyping for RSDS tolerance. NILs offered the most reliable contrast since they differed from Pusa 44 only for the QTLs. Four traits, namely, the projected shoot area (PSA), water use (WU), transpiration rate (TR), and red-green-blue (RGB) and near-infrared (NIR) values were used. Differential temporal responses could be seen under drought, but not under unstressed conditions. NILs showed significant level of RSDS tolerance as compared to Pusa 44. Among the traits, PSA showed strong association with yield (80%) as well as with two drought tolerances indices, stress susceptibility index (SSI) and tolerance index (TOL), establishing its ability in identifying the best drought tolerant NILs. The results revealed that the introgression of QTLs helped minimize the mean WU per unit of biomass per day, suggesting the potential role of these QTLs in improving WU-efficiency (WUE). We identified 11 NILs based on phenomics traits as well as performance under imposed drought in the field. The study emphasizes the use of phenomics traits as selection criteria for RSDS tolerance at an early stage, and is the first report of using phenomics parameters in RSDS selection in rice. Frontiers Media S.A. 2022-01-05 /pmc/articles/PMC8767905/ /pubmed/35069617 http://dx.doi.org/10.3389/fpls.2021.752730 Text en Copyright © 2022 Dwivedi, Ramawat, Raju, Dhawan, Gopala Krishnan, Chinnusamy, Bhowmick, Vinod, Pal, Nagarajan, Ellur, Bollinedi and Singh. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Dwivedi, Priyanka Ramawat, Naleeni Raju, Dhandapani Dhawan, Gaurav Gopala Krishnan, S. Chinnusamy, Viswanathan Bhowmick, Prolay Kumar Vinod, K. K. Pal, Madan Nagarajan, Mariappan Ellur, Ranjith Kumar Bollinedi, Haritha Singh, Ashok K. Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping |
title | Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping |
title_full | Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping |
title_fullStr | Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping |
title_full_unstemmed | Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping |
title_short | Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping |
title_sort | drought tolerant near isogenic lines of pusa 44 pyramided with qdty2.1 and qdty3.1, show accelerated recovery response in a high throughput phenomics based phenotyping |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767905/ https://www.ncbi.nlm.nih.gov/pubmed/35069617 http://dx.doi.org/10.3389/fpls.2021.752730 |
work_keys_str_mv | AT dwivedipriyanka droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT ramawatnaleeni droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT rajudhandapani droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT dhawangaurav droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT gopalakrishnans droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT chinnusamyviswanathan droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT bhowmickprolaykumar droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT vinodkk droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT palmadan droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT nagarajanmariappan droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT ellurranjithkumar droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT bollinediharitha droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping AT singhashokk droughttolerantnearisogeniclinesofpusa44pyramidedwithqdty21andqdty31showacceleratedrecoveryresponseinahighthroughputphenomicsbasedphenotyping |