Cargando…
Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization
Crop wild relatives are species related to cultivated plants, whose populations have evolved in natural conditions and confer them valuable adaptive genetic diversity, that can be used in introgression breeding programs. Targeting four wild lentil taxa in Europe, we applied the predictive characteri...
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/PMC8928559/ https://www.ncbi.nlm.nih.gov/pubmed/35310661 http://dx.doi.org/10.3389/fpls.2022.817849 |
_version_ | 1784670669028458496 |
---|---|
author | Rubio Teso, María Luisa Lara-Romero, Carlos Rubiales, Diego Parra-Quijano, Mauricio Iriondo, José M. |
author_facet | Rubio Teso, María Luisa Lara-Romero, Carlos Rubiales, Diego Parra-Quijano, Mauricio Iriondo, José M. |
author_sort | Rubio Teso, María Luisa |
collection | PubMed |
description | Crop wild relatives are species related to cultivated plants, whose populations have evolved in natural conditions and confer them valuable adaptive genetic diversity, that can be used in introgression breeding programs. Targeting four wild lentil taxa in Europe, we applied the predictive characterization approach through the filtering method to identify populations potentially tolerant to drought, salinity, and waterlogging. In parallel, the calibration method was applied to select wild populations potentially resistant to lentil rust and broomrape, using, respectively, 351 and 204 accessions evaluated for these diseases. An ecogeographic land characterization map was used to incorporate potential genetic diversity of adaptive value. We identified 13, 1, 21, and 30 populations potentially tolerant to drought, soil salinity, waterlogging, or resistance to rust, respectively. The models targeting broomrape resistance did not adjust well and thus, we were not able to select any population regarding this trait. The systematic use of predictive characterization techniques may boost the efficiency of introgression breeding programs by increasing the chances of collecting the most appropriate populations for the desired traits. However, these populations must still be experimentally tested to confirm the predictions. |
format | Online Article Text |
id | pubmed-8928559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89285592022-03-18 Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization Rubio Teso, María Luisa Lara-Romero, Carlos Rubiales, Diego Parra-Quijano, Mauricio Iriondo, José M. Front Plant Sci Plant Science Crop wild relatives are species related to cultivated plants, whose populations have evolved in natural conditions and confer them valuable adaptive genetic diversity, that can be used in introgression breeding programs. Targeting four wild lentil taxa in Europe, we applied the predictive characterization approach through the filtering method to identify populations potentially tolerant to drought, salinity, and waterlogging. In parallel, the calibration method was applied to select wild populations potentially resistant to lentil rust and broomrape, using, respectively, 351 and 204 accessions evaluated for these diseases. An ecogeographic land characterization map was used to incorporate potential genetic diversity of adaptive value. We identified 13, 1, 21, and 30 populations potentially tolerant to drought, soil salinity, waterlogging, or resistance to rust, respectively. The models targeting broomrape resistance did not adjust well and thus, we were not able to select any population regarding this trait. The systematic use of predictive characterization techniques may boost the efficiency of introgression breeding programs by increasing the chances of collecting the most appropriate populations for the desired traits. However, these populations must still be experimentally tested to confirm the predictions. Frontiers Media S.A. 2022-03-03 /pmc/articles/PMC8928559/ /pubmed/35310661 http://dx.doi.org/10.3389/fpls.2022.817849 Text en Copyright © 2022 Rubio Teso, Lara-Romero, Rubiales, Parra-Quijano and Iriondo. 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 Rubio Teso, María Luisa Lara-Romero, Carlos Rubiales, Diego Parra-Quijano, Mauricio Iriondo, José M. Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization |
title | Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization |
title_full | Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization |
title_fullStr | Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization |
title_full_unstemmed | Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization |
title_short | Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization |
title_sort | searching for abiotic tolerant and biotic stress resistant wild lentils for introgression breeding through predictive characterization |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928559/ https://www.ncbi.nlm.nih.gov/pubmed/35310661 http://dx.doi.org/10.3389/fpls.2022.817849 |
work_keys_str_mv | AT rubiotesomarialuisa searchingforabiotictolerantandbioticstressresistantwildlentilsforintrogressionbreedingthroughpredictivecharacterization AT lararomerocarlos searchingforabiotictolerantandbioticstressresistantwildlentilsforintrogressionbreedingthroughpredictivecharacterization AT rubialesdiego searchingforabiotictolerantandbioticstressresistantwildlentilsforintrogressionbreedingthroughpredictivecharacterization AT parraquijanomauricio searchingforabiotictolerantandbioticstressresistantwildlentilsforintrogressionbreedingthroughpredictivecharacterization AT iriondojosem searchingforabiotictolerantandbioticstressresistantwildlentilsforintrogressionbreedingthroughpredictivecharacterization |