Engineering Quantitative Trait Variation for Crop Improvement by Genome Editing.

By Daniel Rodríguez-Leal, Zachary H. Lemmon, Jarrett Man, M. Bartlett, Z. Lippman. Cell, 2017

930 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/7fcf0d5a422103ff93e388dbd6a2b17d28804ae0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Caixia Gao
2. Fritz J. Sedlazeck
3. Kunling Chen
4. Yanpeng Wang
5. W. Richard McCombie
6. Melanie Kirsche
7. Xingang Wang
8. T. Ranallo-Benavidez

In Plant Science

1. Caixia Gao
2. Kunling Chen
3. Yanpeng Wang
4. Z. Lippman

Citations in the corpus

• Hi-TOM: a platform for high-throughput tracking of mutations induced by CRISPR/Cas systems (2017, methodology): “CRISPR/Cas has emerged as powerful genome editing system and has been widely applied in various organisms (Wang et al., 2014; Zhang et al., 2014; Chen et al., 2017; Ran et al., 2017; Jiao and Gao, 2017; Rodríguez-Leal et al., 2017; Zhang et al., 2017).”
• Major impacts of widespread structural variation on gene expression and crop improvement in tomato (2020, methodology): “knowledge is necessary for designing and engineering favored alleles in crop improvement, enabled by genome editing (Chen et al., 2019; Rodrı́guez-Leal et al., 2017; Wallace et al., 2018).”
• CRISPR/Cas Genome Editing and Precision Plant Breeding in Agriculture. (2019, background): “(134) edited the promoter regions of quantitative trait–related genes such as”