Genomes of Poaceae relatives reveal key metabolic innovations preceding the evolution of grasses

The grass family (Poaceae) has immense economic and ecological importance and exhibits distinctive metabolic traits, including dual starch and lignin biosynthetic pathways. We sequenced the genomes of Pharus , Joinvillea , Ecdeiocolea , and Typha species to investigate when and how these metabolic innovations evolved relative to the origin of the grass family. The rho whole-genome duplication (ρWGD) within the lineage that led to the last common ancestor of all grasses contributed to the gene family expansions underlying cytosolic starch biosynthesis, whereas an earlier tandem duplication of phenylalanine ammonia lyase ( PAL ) gave rise to phenylalanine/tyrosine ammonia lyase ( PTAL ), which is responsible for the dual lignin biosynthesis. Integrated biochemical, functional, and structural studies, guided by phylogenomic analyses, further revealed the molecular basis of key metabolic innovations predating the evolution of grasses.

Authors

Institutions

Publication Details

Journal
Science
Published
2026-08-20
DOI
https://doi.org/10.1126/science.adv0443
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomes of Poaceae relatives reveal key metabolic innovations preceding the evolution of grasses

Jorge El‐Azaz, Joseph M. Jez, Michael R. McKain, Melissa Williams et al.
Science
Plant Gene Expression Analysis
article

Genomes of Poaceae relatives reveal key metabolic innovations preceding the evolution of grasses

Jorge El‐Azaz, Joseph M. Jez, Michael R. McKain, Melissa Williams, Kerrie Barry, David H. Lorence, David Goodstein, Jerry Jenkins, Sontosh K. Deb, Hiroshi Maéda, Yuri Takeda, Jim Leebens‐Mack, Jane Grimwood, Jeremy Schmutz, Marcos V. V. de Oliveira, Shengqiang Shu, Matthew D. Barrett, Bethany M. Moore, Christopher Plott, Samuel Holden, Lori Beth Boston, Matthew Moscou, Wynne Havranek, Jae S. Morris, Carly Sanders
article en

Abstract

The grass family (Poaceae) has immense economic and ecological importance and exhibits distinctive metabolic traits, including dual starch and lignin biosynthetic pathways. We sequenced the genomes of Pharus , Joinvillea , Ecdeiocolea , and Typha species to investigate when and how these metabolic innovations evolved relative to the origin of the grass family. The rho whole-genome duplication (ρWGD) within the lineage that led to the last common ancestor of all grasses contributed to the gene family expansions underlying cytosolic starch biosynthesis, whereas an earlier tandem duplication of phenylalanine ammonia lyase ( PAL ) gave rise to phenylalanine/tyrosine ammonia lyase ( PTAL ), which is responsible for the dual lignin biosynthesis. Integrated biochemical, functional, and structural studies, guided by phylogenomic analyses, further revealed the molecular basis of key metabolic innovations predating the evolution of grasses.

ScienceVol. 393(6813)
University of East Anglia (GB), Yamagata University (JP), National Tropical Botanical Garden (US), University of Wisconsin–Madison (US), University of Georgia (US), University of Alabama (US), Joint Genome Institute (US), Washington University in St. Louis (US), Norwich Research Park (GB), Sainsbury Laboratory (GB), Australian Institute of Tropical Health and Medicine (AU), HudsonAlpha Institute for Biotechnology (US), Cereal Disease Laboratory (US)
National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, Biotechnology and Biological Sciences Research Council, U.S. Army Corps of Engineers
Openalex Percentile: Top 17%
Plant Gene Expression Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.